hckrnws

I’m building a blackjack simulator/research tool called Blackjack Wonk. It started as a hobby project and turned into a deeper engineering rabbit hole than I expected. The goal is to make the simulations reproducible and trustworthy enough to test the kinds of blackjack questions that usually get answered with rules of thumb, anecdotes, or forum arguments. So a lot of the work is around deterministic runs, validation, configuration, and chasing down small discrepancies until I understand them. Very niche, but a fun mix of math, software, and curiosity.

I changed gears and moved into the video games industry at the end of 2021.

I started developing a city builder called Metropolis 1998 [1], but wanted to take the genre in new directions, building on top of what modern games have to offer:

- Watch what's happening inside buildings and design your own (optional)

- Change demand to a per-business level

- Bring the pixel art 3D render aesthetic back from the dead (e.g RollerCoaster Tycoon) [2]

I just updated my Steam page with some recent snapshots from my game. Im really happy with how the game is turning out!

[1] https://store.steampowered.com/app/2287430/Metropolis_1998/

[2] The art in my game is hand drawn though

So pretty. But:

> Both adults in a family will now own a car. This is required since there are not other transportation options, and sidewalks are optional.

Is this temporary or are you planning to release it like this? SimCity leaned into euclidean zoning (separate industrial/residential/commercial zones) and pocketable cars which needed no parking, and thus failed to properly showcase how ugly car-centric cities actually are. I’m sure they did it because it made for an easy gameplay loop/balancing but I’d hope we could come up with more realistic and interesting mechanics in 2026

I actually would really love that in a city planner. A game that actually simulates walkable cities versus car centric abominations and would adapt families strategies based on the availability of sidewalks, public transports and incentives.

The limited transportation options is temporary (the game is launching into early access).

Both adults owning a car will be dynamic/based on the city once there are more transportation options.

I'll also be adding options so the player can control how difficult traffic management is.

Did you ever play cities: skylines? Keeping traffic manageable was a big part of the gameplay. Without good transit the roads would all gridlock regardless of how many lanes you add to the highways.

Played it a ton! But they stuck with euclidean zoning from SimCity and most car trips in CS don't need parking - they just disappear if there's not enough surface parking for them. They also poof away when stuck in traffic too long (unless modded).

[dead]

I have been following you on twitter since I saw it. It looks amazing. Recently tried the demo. It is like under 50MB (the demo at least) which is insane these days. Placing building required construction of the building room by room which was tedious. I am sure some people will enjoy that. Will that be the core part of final game?

Thanks! Designing your own buildings is optional. The game has a feature to place zones where buildings automatically grow, but will be limited to residential and office zones at early access launch.

Can you tell more about your background? Making a sim like this also crossed my mind many times, but I learned in the past, that without much of any art skills, I would have to use resources of others or hire someone to make the graphics and so on. In the times of me playing around with RPG maker it was the missing story that was the problem. So it seems often that one core aspect is missing, when wanting to make a game. How did you learn to fill that gap, learn how to get that skilled with making the graphics?

My career background is software, but I've been a creative person my whole life.

Ive hired out help for the pixel art, and then I enhance everything with shaders (tech art).

If you're gonna make a game as an indie, you need to figure out ways to fill in your skill gaps. The competition is brutal. If you can't do it/dont have time to learn and do it, then the only other option is to hire out.

or

A lot of studios are formed from people (cofounders) who depart larger studios, so if you really want to get into the industry, you could start there and network.

Metropolis 1998 looks beautiful! (and addictive!)

Will you do a native Linux release, or has it been tested with Proton?

Also, just from watching the video and screenshots in the Steam page, it seems like a crazy amount of work. Are you doing everything by yourself?

Thanks :)

I'll be looking into porting during early access. I've heard the game runs on Linux with a compatibility layer though.

I do everything except the pixel art and buildings. It is a crazy amount of work!

I am one of those who grew up with Sim City/Transport Tycoon. I will definitely try this when it's released and go back into nostalgia but with a modern touch. Adding it to my wishlist right now. Good luck with wrapping this up towards a release!

This looks awesome! From the isometric perspective, how did you do the walls or vertical stuff in general? I have done a few game like that and always find it to be a struggle in 2D.

Thanks! The vertical axis is also broken down into a grid in a sense. Each "cell" is placed in a specific floor as far as the engine is concerned.

So like (C++):

   vector<uo_map<int, ObjStruct>>

Though I wish I went with a vector<vector<vector<ObjStruct>>> approach now a days <chunk_id>, <floor>, <object>

We really do need more new isometric grid based games. They are less realistic but it is _so_ satisfying to build in them.

I've commented on it before: https://news.ycombinator.com/item?id=39810716

The aesthetic is so incredibly 1998. Reminds me not just of SimCity 2000 but the lesser played "A-Train", with its gentle day-night cycle.

I came across your game last year! Can't remember how. Any hopes of macOS support?

Not at launch, but I'll be looking into porting during early access! Everything in the game is cross-platform ready

Would buy it if it has mac support as well

I'll throw a third (fourth, fifth because I know a couple of people who'd play this on Mac but who have no access to Linux or Windows) request for a Mac version on the pile.

Love the concept! I would love it even more if you could add support for SteamDeck/proton

Any chance you'll release on macOS/Linux?

Logged in to agree with all the other comments: this is so, so pretty. Will try the demo soon.

Looking forward to the release!

I only had to look at the first screenshot to think "yup, this was made for me, I am buying this".

Curious, What u used to do earlier ? before changing gears?

Awesome to see your progress YesBox!

Didn't realise you'd swapped to isometric, it's looking fabulous!

Thank you! Really appreciate it :)

Very very cool!

Did you roll your own engine, I know Godot has issues scaling past a certain number of simulations.

Thanks! Yes, I created my own engine to maximize efficiency (where needed). I think it was the right choice for me.

Looks very good!

I get a lot of "UFO: Enemy Unknown" vibe from the art.

The visuals are stunning, great work!

wow, love the look of your game!

Looks amazing, added to my wish list!

Cool! Isometric for the win :)

Looks amazing!

very cool

Vibe-coded a YouTrack CLI tool in < 1 hour:

https://github.com/keithn/yt

Also working on a language for embedded bare-metal devices with built-in cooperative multitasking.

A lot of embedded projects introduce an RTOS and then end up inheriting the complexity that comes with it. The idea here is to keep the mental model simple: every `[]` block runs independently and automatically yields after each logical line of code.

There is also an event/messaging system:

- Blocks can be triggered by events: `[>event params ...]`

- Blocks can wait for events internally

- Events can also be injected from interrupts

This makes it easy to model embedded systems as independent state machines while still monitoring device state.

Right now it’s mostly an interpreter written in Rust, but it can also emit C code. I’m still experimenting with syntax.

Example:

    module WaterTank {
      type Direction = UP|DOWN
      let direction = UP
      let current = 0

      [>open_valve direction |> direction]
      [>update level |> current]

      [
        for 0..30 |> iteration {
          when direction {
            UP   -> !update level=current + 1 |> min(100)
            DOWN -> !update level=current - 1 |> max(0)
          } ~
          %'{iteration} {current}'
        }
      ]

      [>update level |> when {
          0..10  -> %'shallow'
          11..15 -> %'good'
          16..   -> %'too much!' then !open_valve direction=DOWN
        }
      ]
    }

> automatically yields after each logical line of code

I've become more and more interested in code that yields (coroutines etc, read this fascinating article on HN just a couple of days ago: https://willhbr.net/2026/03/02/async-inject-and-effects/ )

Can you share more about this? How the async model works? Why it does -- is it a performance guarantee given the RTOS comment? Or is it more about the state machine idea, and how or why does yielding every line (not, say, every state transition, though I have no idea if or why that would be more useful) relate to that?

I mostly just have lots of questions because it sounds fascinating, so if you're looking for an excuse to talk about it, please count this as that excuse!

The idea is not so much any kind of hard real time guarantee (in practice it switches quickly so it is soft realtime) but what you often have when doing bare-metal embedded systems is a lot of parallel state machines, not necessarily because the state machine is the best mechanism it's more because you want things to happen in parallel in C/C++, this can be annoying to deal with so you end up with these statemachines that don't block, you cycle through them, and you get "parallel" operation, but anything can block other statemachines, and things like long running for loops need to be broken into non blocking states. I've often thought an Actor Model like thing would be really nice if baked into the language and that the actors were all "live" such that were all processing in parallel and firing off events as needed which is how I started this. I initially was thinking switching on something like state transitions / explicit yields but every statement yielding automatically lets you run multiple "forever" loops which in turn might have long running for loops (like updating a display) statement switching means you don't have to worry about when to yield. Instead I reversed it and figured it would be nicer to define things that need to run as an atomic operation as that seems to be less frequent. This way you generally don't need to worry about blocking and it feels like it's programming as if it was pre-emptive multitasking. Multiple little programs all concurrently running and firing off events to communicate with each other

holy, downvotes on what I'm working on?

You said "vibecoded", maybe it triggered someone. I upvoted you as I just learned YouTrack exists, and it has 10-users free plan, I'm going to give it a try,

YouTrack is pretty good in that is easy to plan and manage work across multiple projects. Jetbrains made it years ago when they got frustrated with Jira for managing their projects. For most of their products (IntelliJ, Ride, Webstorm, Datagrip, etc) if you want to raise a bug you raise it in their YouTrack. It is super customizable and has a reasonable API. Only thing I find is their website is a bit sluggish. The API is pretty quick though, so the CLI tool is reasonably snappy.

You said the v word!

Yeah it's a nice project. Maybe it was an accidental click by somebody. I tried to compensate for it.

Since subreddits related to identifying AI images/videos got very popular, my wife started to send me cute AI generated videos, older family members can't distinguish AI videos at all, I've decided to code a weekend side project to train their Spidey sense for AI content.

https://IsThisAI.lol

The content is hand picked from tiktok, Instagram, Facebook, Reddit and other AI generating platforms.

Honestly I don't know where I'm going with this, but I felt the urge to create it, so here it is.

I learned how to optimize serving assets on CloudFlare.

Feedback welcome.

Great idea - are you sure however that all of the "AI Generated" examples are actually AI? What about stuff made by good old fashion human + photoshop ? Obviously this would still be "generated" or not real but I think it is a somewhat important distinction

Tricky! I often also guess wrong. But I noticed it has some bug. Sometimes I can click either option "AI Generated" or "Real" and nothing happens. Even if I click 10 times, still nothing happens. The buttons must have some broken event handling or something.

EDIT: Hm, I switched tab, away to write this comment, now that I switched back, it showed me that I clicked correctly. So it seems, that sometimes it just has huge delay in accepting my choice?

The project got some traction, over 5k requests since I posted this. Probably the DB state needs to be optimized a bit. Thank you for reporting! I really appreciate it

Edit: I don't see slow traces in Sentry. No idea what caused this. Also, voting goes through redis and the dB load is low. Weird. I probably have to add gunicorn workers.

Edit2: Bumped gunicorn workers from 2 to 4. Should be fine now, under the current load. Again, thank you for reporting!

+1 for training parents' tech literacy.

I dunno if/how this could be taught, but I feel like half the battle is critical thinking with an adversarial mindset towards media -- who would make this, why would they want to show me, do I see anything that makes this impossible, is it worth engaging with in the first place, can I fact check this.

Yep, my thoughts exactly. But the consumer rarely thinks critically when looking at ads, not to mention regular social media posts and the Big Corp has no money in proving what assets are AI generated.

I'm trying to gamify the training to make the experience more appealing.

I store a "proof URL" on the backend, but I don't know if it makes sense to serve it to the end user. Also, a Reddit discussion is not necessarily a proof one wants. A fingerprint would be better, but not all images are generated with Google. That's another problem to be solved.

I love this. Each time my parents need their wifi fixed I'm going to make them do 5 of this app before it get to work.

Thank you for the kind words. I don't expect it to spread like fire, but I'd appreciate if you could share it with your folks. I don't intend to monetize it, my goal is to have some small daily traffic.

It's SFW and localized to the most popular languages.

Update. I didn't expect my parents to enjoy playing the game. Apparently, they are aware that they are falling for AI videos and don't like it. And there are a lot of entertaining videos to keep them engaged and easy to spot "give me's" to keep the frustration level down.

Very fun. You have hidden the controls on the video, is it because you want it to be more of a game and prevent people, normies at least, from seeking through the video or is it for some other reason?

How do you know that the videos are AI or not? For many of them it's pretty clear, but I imagine not every user is labelling their AI uploads properly

I only add the ones where its proved its AI, fe. if it has SynthID or some users found obvious AI mistakes. I have adding proof on the roadmap, but it's a bit tidious and there's no point in making it without a traffic.

It would be cool if you could see the image/video again after choosing. I always want to watch it again after a wrong guess.

Hmm, I will consider adding "close" button for the overlay popup. Thanks for the feedback

I somewhat like it for what it is, but expected something else based on description. This is just a real/ai guesser that doesn't really train you at all.

I think that it's a great opportunity to play with relatives. Each person can explain why/why not and that's probably the main point.

It'll also probably shut the mouth of those who think that they know better. This works with the driving license. Start a test with the whole family and watch the older men get a reality check.

I like it too. But I think the training is to realize that human brains are already far behind detecting AI generated content as of 2025/26, and our brains probably won't ever catch up.

The question is can you be trained? Beside the obvious case, some IA generated photo could not be distinged from real one.

I am too skeptical of videos and way too trusting of photos I guess.

i honestly would have believed some of the AI ones were real if i had come across the them elsewhere. i wonder if doing a more even real / ai would make it harder to get it right.

What does the "this one is controversial" label mean? Does it just mean the voters are split or does it mean its not known whether or not the image/video is actually AI-generated?

Im building https://trypixie.com to legally employ my 7 year old child, save on taxes and contribute to her Roth IRA.

Im also building https://www.keepfiled.com, a microsaas to save emails (or email attachments) to google drive

I almost forgot, I also built https://statphone.com - One emergency number that rings your whole family and breaks through DND.

I love building. I built all these for myself. unfortunately I suck at marketing so I barely have customers.

How do escalations work for statphone? If the first group doesn't respond to the call, does it escalate to the second group while the call is in progress still? What happens if the caller hangs up? Very cool idea btw!

Hi!

If the first group doesn't pick up, it starts calling the second group, but first group continues to ring.

If the caller hangs up, all ringing is stopped.

The cool thing is if it encounters the native phone's voicemail, it hangs up and continues to ring so doesn't think it was a picked up call.

We do have our own voicemail that will eventually answer (user defined timing), which then transcribes and sends the voicemail+transcription to all the group members.

Do you use Twilio for statphone? Or SIP? I want to build a telephony app, but the economics don't work out with Twilio.

The economics don’t work for StatPhone either but I figured if it has value, I can find other ways to make money or bring down costs.

Can you clarify how Statphone deals with the problem of random spam calls hitting the number by chance and ringing everyone? I assume that’s how most spam operates these days, just brute force on number permutations. I love the idea!

Sure!

Unfortunately if a spammer called the StatPhone number, it would dial everyone. I thought about blocking or automatically categorizing but then you may miss an important call from an unknown number.

Most spammers are actually operating off of known lists, usually made off of some data leak.

I haven’t encountered that issue yet. I don’t have a great solution for that case.

Fair enough! It's an extremely hard problem to solve.

Did you consult any tax lawyers before releasing trypixie? Feels super risky.

I did and a few CPAs. Surprisingly my customers have been CPAs buying to offer to their clients.

Pixie is more like quickbooks or any other record keeping software. We don’t employ the children, their parents do. And as long as the kids are doing legitimate work, it’s fair and actually the irs has a page on it. https://www.irs.gov/businesses/small-businesses-self-employe...

Me too. Maybe we could mastermind? Reach out, my email is in my profile.

Amazing landing for statphone, mind if I ask if it’s using any sort of UI library?

I must concur, very tasteful.

Nope. Just iterated slowly. Started by looking templates I liked on dribbble.

Love these, really cool!

Statphone is such a genius idea - very cool.

these are all great ideas!

TryPixie is a great idea

I'm working on a self-hosted search service called Hister with the goal to reduce my dependence on online search engines.

Hister is basically a full text indexer which saves all the visited pages rendered by your browser. It provides a flexible web (and terminal) search interface & query language to explore previously visited content with ease or quickly fall back to traditional search engines.

Here's a little summary of the background/motivation/beginnings: https://hister.org/posts/how-i-cut-my-google-search-dependen...

Project site: https://github.com/asciimoo/hister

Website: https://hister.org/ Read-only demo: https://demo.hister.org/

i love this and have been a long time complainer that browsers dont automatically operate this way.

how does it handle forms or homepages with refreshed content? for example, the home page of hackernews - will it always show the latest feed from the last time i had a connection or will it store each time ive visited it ?

Thanks <3

Currently it overwrites the previous content with the latest if there is any change, but I'd like to add option to store diffs as well in the future.

https://github.com/jsattler/BetterCapture

I'm building a lightweight screen recorder for macOS. It supports lots of features you'd expect from a professional screen recorder such as ProRes 422/4444, HEVC/H.265, and H.264, capturing alpha channels and supports HDR. Frame rates from 24 to 120fps. Can capture system audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.

No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac. Still early, but happy to hear feedback!

Cooking up a NSFW filter for marginalia search.

Pipeline so far has gone like this:

* Use the search engine's API to query a bunch of depravity

* Use qwen3.5 to label the search results and generate training data

* Try to use fasttext to create a fast model

* Get good results in theory but awful results in practice because it picks up weird features

* Yolo implement a small neural net using hand selected input features instead

* Train using fasttext training data

* Do a pretty good job

* for (;;) Apply the model to real a world link database and relabel positive findings with qwen to provide more training data

Currently this is where I'm at

  Accuracy:   90.90%
  True  Positive: 1021
  False Positive: 154
  True  Negative: 2816
  False Negative: 230
  Precision:  0.8689
  Recall:     0.8161
  F1:         0.8417

Just want to say that I love your search engine for my ttrpg side projects to find obscure blogs, etc. thank you.

Never heard about it. Is it like Google search? And why does it need a nsfw filter?

It's like google search in 1998.

It needs an NSFW filter because some people want it, especially certain API consumers.

Nice cover up for ... actually hoarding depravity ;)

It really is for scientific purposes! ;-)

For scientific search experiments, you may like to consider using PyTerrier (which facilitates comparing multiple search model types - (sparse) vector space model; Boolean model; Binary Probabilistic Model; Support Vector Learning-to-Rank model; Divergence from Randomness model; (dense)embedding ranked retrieval models etc.).

The model needs to run in real time on a JVM, so py-anything sadly isn't viable.

I'm still having a lot of fun releasing daily puzzles for my game Tiled Words: https://tiledwords.com

It just won an award! It was awarded Players' Choice out of 700 daily web games at the Playlin awards: https://playlin.io/news/announcing-the-2025-playlin-awards-w...

Right now around 3,500 people play every day which kind of blows my mind!

It's free, web-based, and responsive. It was inspired by board games and crosswords.

I've been troubleshooting some iOS performance issues, working on user accounts, and getting ready to launch player-submitted puzzles. It's slow going though because I have limited free time and making the puzzles is time consuming!

Here's an article with more info about the award: https://cogconnected.com/2026/03/tiled-words-crowned-the-pla...

My wife and I just finished our morning Tiled Words and Bracket City. It's become part of our morning routine. Thanks for it, it's a lot of fun!

That’s awesome, thanks!

Bracket City is great! Definitely one of my favorites

I think I am getting close to a 100 day streak. Thanks!

Awesome, thanks for playing!!

I don't play every day, but I've been a big fan of Tiled and showed it to a number of other folks.

Thank you so much for keeping it going!

Thanks for playing and sharing!

How did you go from 0 users to 3,500? Genuinely curious how people get their games off the ground.

It's been a gradual process over the last 5.5 months. Here are some of the things that worked for me:

- I applied to showcase the game at the Portland Retro Gaming Expo with the Portland Indie Game Squad. They accepted me so I was able to showcase it at the expo for a day. This got me some players right off the bat

- I shared it on HN, Reddit, Mastodon, etc.

- The website Thinky Games wrote an article about it

- The YouTube channel Cracking the Cryptic shared it which got a lot of new players. More recently a couple of other YouTubers (Timotab and Stro Solves) have been posting videos regularly

- I link to it from my blog, and this unrelated rant went semi-viral in web dev circles: https://paulmakeswebsites.com/writing/shadcn-radio-button/

- Winning the award gave me more visibility and players

I've also tried using things like Instagram and Discord but haven't had much luck there. I don't really get how those platforms work.

To be honest I'm not great at marketing. I've just been experimenting and seeing what works.

---

I would say the most important thing is the game itself:

- I've worked hard to gather feedback and incorporate it into the gameplay.

- I focus on keeping the puzzles fresh and striking the right difficulty level. (Challenging but something most people can do in 10 minutes.)

- I built a sharing feature that ~300 or so people use a day

I think all my marketing would have been useless if people didn't like the game and want to play again and share it with their friends.

I remember seeing this! It was cool, and I will remember to play it more.

Re creating puzzles, does this mean you have to manually do them one per day? Is there a way to automate them ahead of time (as in have an app generate a bunch of puzzles you can pick from or tweak)?

This is something I’ve been grappling with.

I’ve automated parts of the process. Once I have the words and clues I can autogenerate crosswords and pick the best one.

I’m hesitant to automate the creation of the theme, words, and clues though. I worry that the quality would go down but there may be some opportunities to speed up brainstorming there. I’ve been noodling on this.

That's a lot of fun, good work.

Thanks!

Well, I just jumped full time on IronCalc[1] a fully open source, light and fast spreadsheet engine designed and build from the ground up.

I have been working on it as side project for over two years and now, with funding from the EU for the next 2.5 years, I hope I can make of it a real product for everyone to use that can compete with the likes of Excel and Googl;e Sheets.

I can oly say, I am overly, off the Moon excited

[1]: https://www.ironcalc.com

Which EU grant did you receive? Ie. from which fund?

edit: nm, rtfm, it was on the landing page: Horizon Europe programme

Answered to a sibling comment. NLnet and HORIZON.

NLnet is just amazing and can keep you going if you are a student or have some extra sources of income

HORIZON is a huge grant but fairly hard to obtain. Generally related to reasearch grants in academia

Oh, neat. Didn't expect to see IronCalc here for some reason, have been considering it for a side-project. Thanks for the hard work. :)

Congrats! But what is a spreadsheet "engine" as opposed to a spreadsheet program?

The "engine" is the computational part of it. And it is completely separted from the UI. You can use it from Rust, Python, nodejs or from the browser and eventually from a destop app.

The important thing is that is all those cases the engine is the same. I

Interesting, how was the EU funding process?

First we got a grant from the NLnet[1], which I highly recommend as a first step of any project. Single best thing I could have done. That wasn't enough money for me to quit my job. Also I didn't have any _evidence_ that IronCalc was a good idea or that there was a market for it. Then evidence started pouring and I kept working. I started talking to different folks, lots of people many of those were contacts through the NLnet. Then the folks from NextGraph[2] approached us and asked, "Hey do you want to be part of this consortium [3]?". Eventually we got a HORIZON grant after a lot of sweat and paperwork, but NextGraph took the brunt of it.

As you see there is a huge component of sheer luck

[1]: https://nlnet.nl/project/IronCalc/ [2]: https://nextgraph.org/ [3]: https://elfaconsortium.eu/

My wife and I continue to work on Uruky, a EU-based Kagi alternative [1]. Since last month we got deals with a couple more search providers but we’re still waiting for EUSP/STAAN to provide us with an API key (we have progressed through a few more forms and signatures and legal stuff, though).

We’ve continued to get some paid customers and have exited beta last week, given everyone seemed to be quite satisfied and there hadn't been requests for changes, only some specific search providers.

Because of bots there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a couple of days for free, reach out with your account number and we’ll set that up!

Thanks.

P.S.: Because people have asked before, our tech stack is intentionally very "boring" (as in, it generates and serves the HTML + bits of JS to enhance settings and such — search can be done without JS), using Deno in the backend (for easier TypeScript), PostgreSQL for the DB, and Docker for easier deploying.

[1] https://uruky.com

Hi Bruno - this looks great! I remember collaborating with you a couple times on Kagi's browser extensions. Was there a specific moment that made you want to work on Uruky, or was it because of the overall direction Kagi is heading in?

Hey Alabhya! Nice seeing you here! :)

I don't think Kagi is heading in a necessarily "bad" direction, though I don't agree with it, and I also think there's value in a product that's solely focused on private and personal search, that doesn't have to be as expensive, expansive (Drive, Maps, Email, etc.) or big (team and resources-wise) as they are.

I hope that makes sense!

I wish you good luck and a very healthy stamina :-))

Search is _incredibly_ hard, there are reasons why there are no real Google competitors.

Thank you! We're not trying to be a Google competitor (that would be too much!), "simply" an alternative!

This sounds great, and I like it being EU-based (and, presumably, not reusing Yandex like Kagi famously does?)

Could you share more info about how you're building it? Like Kagi it wraps / reuses multiple other providers? How do you do that affordably, and how do you merge the results together into a good answer?

Thanks! Sure. We are 100% transparent on all the search providers we're using, you can see them in the FAQ, and Yandex isn't used.

Initially we called all search providers and merged the results in a round robin fashion (so first of the first provider, first of the second provider, first of the third provider, then second of the first provider, second of the second provider, and so on), deduplicating them, but this was becoming very costly and inefficient once we had 3 and more search providers (most providers will return results within 500ms, but not infrequently one would take up to 2s or more — we timeout there, so I don't know if it'd take much more —, slowing everything down), so now we give everyone the choice of which providers to use first, and we pick results from the first two (we're actually considering switching to just the first, as costs are still a bit high and we don't want to increase pricing).

I hope that provides some more clarity! Happy to answer any more questions.

Very cool, wishing you the best of luck with this.

One bit of feedback from me, take it or leave it, but the name doesn't feel appealing or memorable. What does it mean?

It makes me think of the Uruk-hai from Lord of the Rings. To me that is not a positive connotation. I feel bad writing anything even slightly negative about what is a really, really awesome project, though, and I hope that you meet with success :)

Thanks for the kind words! They might not be "standard pretty" but I'd say they're arguably resilient and disciplined, so it's not all bad! :D

Thanks! We'll happily take suggestions, but I read it like "Euro-key". My wife also doesn't love the name, but we couldn't come up with (or find) anything with 5 letters or less that sounded decent so far.

There's no specific meaning, though I can't say I dislike the close name matches with Uruk-hai [1] and Uruk [2]! :)

[1]: https://lotr.fandom.com/wiki/Uruk-hai

[2]: https://en.wikipedia.org/wiki/Uruk

I was going to say in my earlier comment that I probably didn't like it because it sounds like Uruk Hai, and the person in the comment below also said it. So safe to.say that's what most of your users will also think of. "Large ugly orc" is a terrible word association for an app even if you personally like it.

Have you tried searching for meaningful words in other languages? Kagi means key in Japanese, for example. I've had luck with this approach before.

Thanks for the suggestion. We did try but came up empty so far. I also didn't know that about Kagi!

+1

<3

I know Kagi is using Yandex (Russian search engine), that's why I am no longer using it.

Is Uruky using Yandex?

Hello! We are 100% transparent on all the search providers we're using, you can see them in the FAQ, and Yandex isn't used.

Given the notorious European branding, consider renaming it eureuky ;-)

Haha! I definitely read it "euro-key", but we wanted fewer letters! :D

Would a family plan possible?

You can simply share the same account number, unless you're looking for different settings per account number? In that case, feel free to reach out and we'll figure something out.

I'm using TimescaleDB to manage 450GB of stocks and options data from Massive (what used to be polygon.io), and I've been getting LLM agents to iterate over academic research to see if anything works to improve trading with backtesting.

It's an addictive slot machine where I pull the lever and the dials spin as I hope for the sound of a jackpot. 999 out of 1000 winning models do so because of look-ahead bias, which makes them look great but are actually bad models. For example, one didn't convert the time zone from UTC to EST, so five hours of future knowledge got baked into the model. Another used `SELECT DISTINCT`, which chose a value at random during a 0–5 hour window — meaning 0–5 hours of future knowledge got baked in. That one was somehow related to Timescale hypertables.

Now I'm applying the VIX formula to TSLA options trades to see if I can take research papers about trading with VIX and apply them to TSLA.

Whatever the case, I've learned a lot about working with LLM agents and time-series data, and very little about actually trading equities and derivatives.

(I did 100% beat SPY with a train/out-of-sample test, though not by much. I'll likely share it here in a couple weeks. It automates trading on Robinhood, which is pretty cool.)

Nice. I played with this a bit. Agents are very good at Rust and CUDA so massive parallelization of compute for things like options chains may give you an edge. Also, you may find you have a hard time getting very low latency connection - one that is low enough in ms so that when you factor in the other delays, you still have an edge. So one approach might be to acknowledge that as a hobbyist you can't compete on lowest-latency, so you try to compete on two other fronts: Most effective algorithm, and ability to massively parallelize on consumer GPU what would take others longer to calculate.

Best of luck. Super fun!

PS: Just a follow-up. There was a post here a few days ago about a research breakthrough where they literally just had the agent iterate on a single planning doc over and over. I think pushing chain of thought for SOTA foundational models is fertile ground. That may lead to an algorithmic breakthrough if you start with some solid academic research.

what filters are you using to find the papers, anyone you enjoyed/recommend?

I'll notice that the trading model will filter out bear down trends which is very, very helpful but it doesn't trade short. I'll ask the coding agent to find several academic research papers about trading once intraday during a down trend -- a single scalping. It will return with ~10 references. It will recreate the model, do statistical analysis, and create a search grid backtest. This will immediately give information if there is any alpha. If there is, it will iterate integrating the concept into the existing trading model.

It has enough information that it will continue to iterate for the next several hours.

It's all happening in a black box. I have no idea. My concern isn't trading but rather to get it to continuously improve unsupervised without lying or hallucinating.

not the OP:

- everything around Statistical Arbitrage

- you can adapt ideas from electrical engineering (phase detection etc.)

There is giant pool of ideas & methods you could apply.

Fun fact - some of it may be a subset of all data and with trimmed outlying points, so when you set some stop loss conditions they get tripped in the real world, but not by your dataset. Get data from my sources.

Relateable. If I had a dollar for every time I ran into issues with time zones, that would be a profitable strategy in and of itself.

I tried exactly this - loading polygon.io data into TimescaleDB, and it was very inefficient.

Ended up using ClickHouse - much smaller on disk, and much faster on all metrics.

Interesting. I'm not familiar with ClickHouse. I've been manually triggering compression and continuous aggregates have been a huge boon. The database has been the least of my concerns. Can you tell me more about it?

You can take a look at this: https://github.com/ClickHouse/stockhouse The database schema is optimised for stock data

did RH open up API for trading?

I developed a Claude skill that will interact with and press every button intercepting every request / response on a website building a Typescript API. I only have $10 in that account so there isn't much damage that it can do. Probably get me banned but I don't use Robinhood for real trading.

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After more than a decade of developing various websites under the brand https://anoa.ca I am pivoting the brand entirely to a creative niche: portfolio websites for the film industry. I created a new, general brand for the rest of my front end development work: https://lodewell.co

It feels like a small change, but it really makes sense in my brain and I'm glad I finally made it happen. My services feel properly positioned under these distinct brands. Now of course when I get time I need to redesign both of my own websites.

Ideas wise... I like the static website world. I use 11ty, but there are others moving in this direction. Clean, performant, simple html / css / js websites that should last for decades. I like the idea of publishing them to IPFS, creating an indie web with some permanence to it.

We just launched a portfolio for Director of Photography Joel Honeywell: https://joelhoneywell.com/

This is a simple static site, no CMS, built with 11ty.

Recently built https://entrycast.com/ - there are other products kind of like it on the market already but I had some specific use cases I wanted personally, and decided rather than making it just for me, I'd for the first time in my life make it something others could buy too. No customers so far, but I don't really mind, to be honest!

I made this little DSL that's transported by the typescript syntax, but made for declaring interfaces between a typescript application and a backend. The code-generator spits out angular classes and typescript types for use by the web app, and it spits out a node backend class that you fill with the handlers for that interface. It also spits out a qt widget with the web application inside it, complete with functional plugin for the qt designer so you can drag your widget into existing UI layouts.

So you can use it to write UIs in web and use them either as regular Qt widgets or as stand-alone webapps with regular node backend.

It's really the wrong way around if you think about it.. using an inferior technology (web) for the UI part.. But somehow people prefer typing CSS and downloading gigabytes of boilerplate instead of just using a WYSIWYG designer.. I don't get that part..

I started working on an "anti-habituation" motivational reminder app:

https://appreciate.srid.ca/

https://github.com/srid/Appreciate

(Note: Only the macOS version is tested extensively at the moment)

I live in an old house.

The front bump out leaks when we get driving rain. I installed some flashing but that wasn't enough, it's still leaking. So I'm working on that so I can close up the big hole in the ceiling some day.

The prior owners filled in the old coal chute with literal bags of cement sort of artistically placed in the hole in the brick foundation. So I'm trying to figure out what masonry tools and skills I'll need to close it up proper.

I'd like to build my kids a playhouse of some sort, sketching out some designs for that.

As in they put bags of unmixed cement in the chute?

Very exciting on the playhouse. What kind of things will it have?

I'm expecting my first this year so have a ways to go before I get to work on that project

Any way you could share the sketches? Seems fun and interesting.

I’m building Sift, a drop-in gateway that makes LLM tool use far more reliable when tools return large JSON payloads. The usual pattern is that agents paste raw tool outputs directly into the prompt, which quickly blows up context, causes truncation/compaction, and leads to incorrect answers once earlier results disappear. Sift sits between the model and its tools (MCP, APIs, CLIs), stores the full payload locally as an artifact (indexed in SQLite), and returns only a compact schema plus an artifact_id. When the model needs something from the data, it runs a tiny Python query against the stored artifact instead of reasoning over thousands of tokens of JSON. In benchmarks across 103 questions on real datasets, this approach cut input tokens by ~95% and improved answer accuracy from ~33% to ~99%. Repo: https://github.com/lourencomaciel/sift-gateway.

I was talking about part of this problem this morning, I keep having it with our large OpenAPI spec and the JSON parsing. But it occured to me that recently sometimes Claude will work around the context blowing problem by using a sub-agent to do the parsing. Have you seen that?

It's still a big time saver to have something like this, and stops it even taking the risk of doing it in the first place.

When GPT-4.5 came out, I used it to write a couple of novels for my son. I had some free API credits, and used a naive workflow:

while word_count < x: write_next_chapter(outline, summary_so_far, previous_chapter_text)

It worked well enough that the novels were better than the median novel aimed at my son's age group, but I'm pretty sure we can do better.

There are web-based tools to help fiction authors to keep their stories straight: they use some data structures to store details about the world, the characters, the plot, the subplots etc., and how they change during each chapter.

I am trying to make an agent skill that has two parts:

- the SKILL.md that defines the goal (what criteria the novel must satisfy to be complete and good) and the general method

- some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)

- a python file which the agent uses as the interface into the data structure (I want it to have a strong structure, and I don't like the idea of the agent just editing a bunch of json files directly)

For the first few iterations, I'm using cheap models (Gemini Flash ones) to generate the stories, and Opus 4.6 to provide feedback. Once I think the skill is described sufficiently well, I'll use a more powerful model for generation and read the resulting novel myself.

this is fascinating. I would like to try this as a side project as well.

some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)

- What are these meant to be exactly? are these sub agents in the workflow or am i completely misunderstanding?

"are these sub agents in the workflow"

The idea is that on any 'turn', the AI model should be doing only one of those tasks. That's true whether it's in the main thread (with all the past context) or has just been launched as a subagent.

You can see an example of this pattern here in Anthropic's skills repo: https://github.com/anthropics/skills/tree/main/skills/skill-... (the repo has four separate skill.md files: a main SKILLS.md and then three others for specialist roles)

Whether they're run as subagents (a separate AI chat session with clean context) is a separate decision, and it depends on whether the coding harness supports that. https://agentskills.io/client-implementation/adding-skills-s...

I'm still trying to figure out the subagent delegation stuff.

Do you mind posting these novels?

The ones I created so far had some characters from existing books and movies, and I don't want to take my chances with how 'fair use' is interpreted.

I see. Did your kid enjoy them?

One downside is there’s no community for him around the books, but maybe that’s not a big deal.

They were good enough that he finished reading them once, but they were not good enough that he would recommend them or re-read them.

I'm writing a print farm manager for my wife, who has 8 bambu printers. I've put one of them in lan mode for testing, but I'm pretty close to replicating the important handy (Bambu's cloud app) features, at which point I'll be able to start adding the really nice.

She sells a product with 16 different printed parts, and she prints the parts in bulk batches across 7 different pause points, some of which have pause points for embedding magnets.

The idea is to integrate inventory management and print scheduling into the tool, which will be nice.

I have working so far: * Pulling camera images * Pulling the currently printing file, including the preview image (rendered in bambu studio and bundled with the print; standard for bambu studio), and the pause points * A dashboard with projected timing information * Notifications about jobs starting, stopping & pausing * Remote printer control

Next on the list: * Delayed printing - schedule a print to start in the night. Mostly useful so that if there's a pause point we don't leave a print paused for hours on end. * Print queueing - manually build a list of prints so that after switching plates we can just "next print" for a printer * Print scheduling - select a quantity of print files or groups of files to print, and have it schedule the prints, including projected switch times, to maximize printer utilization by avoiding jobs ending at night * Tracking magnet & filament usage, and integrating BoM and production quantity tracking.

I've been mostly AI coding this, but I've go in to make it extract out components, etc. And I lay down and enforce the DB schema. I've had to ask it to back out a few things entirely. And I've had to give it the Bambu API docs I found github. But it's been going pretty well.

This is so cool. Why does 3d printing make sense vs injection molding? Low volume? To many customizations?

To be honest, we should probably go into injection molding. We do have a pretty long tube in there that might be a bit problematic for injection molding from what I've read (1 degree draft means the tube size inside changes by 1/8 of an inch), and the orientation of the magnets is pretty important, and they can repel each other pretty hard to. So part of it is the unknowns.

The other part is the upfront cost. I bet we'll get to injection molding in the next few months as revenue allows, and we're going to start exploring it this month I think. We'd like to keep things local, though we know we'll still have to contend with knock offs sooner than later.

Still working on Overtone, a tool that allows one to visualize the relationships documented in MusicBrainz, probably the largest crowdsourced music DB in existence, using graphs. You can right-click anything to expand into its subgraph.

It already runs pretty smoothly. Next steps are adding a way to make playlists and listen to them right there, without leaving the page. Check it out and let me know what you think! All feedback is appreciated!

https://overtone.kernelpanic.lol

https://finbodhi.com — It's an app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics).

Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more. Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and US stocks, etfs etc.

We also write about like:

How fund performance explain part of returns, rest is explained by timing. And ways to tease those out: https://finbodhi.com/docs/blog/benchmark-scenarios

Or, understanding double entry account: https://finbodhi.com/docs/understanding-double-entry

Hey, this sounds like exactly what I've been looking for (household tracking of finances). FYI images are currently not loading on your webpage:)

The images seem to be loading. They are heavy so might be taking time, or may be something is blocking them?

Hey! The demo didn't work in Firefox. It said something about setting up the database then it crashed the tab.

It doesn't work in Incognito mode. Did you try it without incognito?

Oh actually, sorry I lied. I recently switched to Vanadium as my default browser which is the modified Chromium instance that ships with GrapheneOS. Apologies

Nice, what front end charting library are you using? Looks very slick!

d3

This looks perfect, Ill give it a go today

Thinking a lot lately about how AI is changing software development, and what the ideal development experience might actually look like in the future.

I’m working on CodeYam. We just recently released a lightweight CLI and a feature called CodeYam Memory. The immediate motivation was that when using Claude Code, the AI would repeat the same mistakes and our claude.md files would get stale too quickly to manually maintain. The existing options, including Anthropic’s built-in memory features, didn’t really solve the memory challenge sufficiently for us.

CodeYam Memory runs a background agent that reviews coding session transcripts, looks for patterns of confusion, and generates targeted rules with proper scoping.

It’s a small first step toward the longer-term idea I'm exploring: what an AI-native development experience should actually look like. For now, it’s packaged as a lightweight CLI you can use anywhere you’re running Claude Code.

How to try it:

Install: npm install -g @codeyam/codeyam-cli@latest

Then, from your project root run: codeyam

This will launch a dashboard with further instructions for initializing CodeYam Memory.

Free, runs locally, no login required, and language agnostic. Would love feedback.

More context:

Background blog post: https://open.substack.com/pub/codeyam/p/introducing-the-code...

90 sec demo on our own repo: https://youtu.be/oJ2gTb-lxbE

Demo teaching Claude a real OSS repo (Plane): https://youtu.be/CjOKBwBCcOs

Website: https://codeyam.com/

These past weeks I finally organized some ideas I'd been sitting on and wrote two posts:

From Agentic Reasoning to Deterministic Scripts: on why AI agents shouldn't reason from scratch on every repeated task, and how execution history could compile into deterministic automations

https://juanpabloaj.com/2026/03/08/from-agentic-reasoning-to...

The silent filter: on cognitive erosion as a quieter, more probable civilizational risk than a catastrophic event

https://juanpabloaj.com/2026/02/27/the-silent-filter/

Re: the silent filter, I'm reminded of the McLuhan quote:

"Man becomes, as it were, the sex organs of the machine world, as the bee of the plant world, enabling it to fecundate and to evolve ever new forms. The machine world reciprocates man's love by expediting his wishes and desires, namely, in providing him with wealth."

Thanks for the quote. Reading it, I can feel how a Tsutomu Nihei or Giger atmosphere envelops me.

Do you have examples of the task maturation cycle? I'm not sure how it would work for tasks like extracting structured data from images. It seems it could only work for tasks that can be scripted and wouldn't work well for tasks that need individual reasoning in every instance.

No practical code example, sorry. The post is based on my own experience using agents, and I haven't reached a reusable generalization yet.

That said, two cases where I noticed the pattern:

Meal planning: I had a weekly ChatGPT task that suggested dinner options based on nutritional constraints and generated a shopping list (e.g. two dinners with 100g of chicken -> buy 200g). After a few iterations, it became clear that with a fixed set of recipes and their ingredients, a simple script generating combinations was enough. The agent's reasoning had already done its job — it helped me understand the problem well enough to replace itself.

QA exploration: I was using an agent to explore a web app as a QA tester. It took several minutes per run. After some iterations, the more practical path was having it log its explorations to a file, then derive automated tests from that log. The agent still runs occasionally, but the tests run frequently and cheaply.

Regarding your point about tasks that need individual reasoning every time — I think you're right, and that's actually the core of the idea. Not every task matures into a script. Extracting structured data from images probably stays deliberative if the images vary significantly. The cycle only applies to tasks that, after enough repetitions, reveal a stable pattern. The agent itself is what helps you discover whether that pattern exists.

A stock market daytrading system, I am live coding it on my Youtube channel: https://www.youtube.com/playlist?list=PL04PGV4cTuIXoK6yBAFzh...

Opus has been amazingly useful at answering various statistics question that I had for it, and my current idea is a nested auction market theory inspired model. My biggest discovery is that replacing time with volume on the x axis (on a chart) and putting the bar duration on the bottom panel instead of volume normalizes the price movements and makes some of the profitable setups I've seen described in tape reading/price ladder trading courses actually visible on naked charts. A great insight I've gleamed is that variance should be proportional to volume instead of time or trade count. When plotted, it has the effect of expanding high volume areas, and compressing low volatility ones, which exposes trending price action much more readily. It honestly amazing, it's making me think that I could actually win at the trading game.

Continuing to make fantastic progress on Breaka Club, where we teach kids to code, be creative and make games:

https://breaka.club/blog/why-were-building-clubs-for-kids

The recent Netflix Games edition of Overcooked with K-Pop Demon Hunters is cool, but not nearly as cool as kids coding and playing their way through Overcooked levels in our custom educational mod for Overcooked:

https://youtu.be/ITWSL5lTLig

I'm also maintaining GodotJS, strongly typed TypeScript bindings for Godot, which is used to build the Breaka Club RPG (see first link):

https://github.com/godotjs/GodotJS

And last week I also put together the first release of MoonSharp in ~10 years; Lua runtime for Unity. That's not for Breaka Club though, I also consult for Berserk Games on Tabletop Simulator:

https://github.com/moonsharp-devs/moonsharp/releases

One month ago, I purchased this small eink reader (Xteink 4) and I've been loving reading on that device. It made me read much more in the past month (already more than 50% through Fall or Dodge in Hell).

The stock firmware is horrible but the community has this firmware called CrossPoint. I wanted to be able to upload, manage files etc. from my iPhone on the go and also send over web articles. So I build this app CrossPoint Sync https://crosspointsync.com to do just that.

I've already published it on App Store and pending publishing on Android. The community is niche and has also been using the app, so its been fun building for my use and in turn also getting good feedback from community.

If you are using the Xteink and CrossPoint firmware, then give the app a try.

iOS App Store: https://apps.apple.com/app/crosspoint-sync/id6758985427

Android Beta: https://crosspointsync.com/android/join-beta

GitHub: https://github.com/zabirauf/crosspoint-sync

I made a SmallTalk inspired collaborative development environment for writing web components - https://playground.now.

A "world" is a locally stored CRDT that contains the source code and data you store.

The home page, login and world editing experience is all built from within itself.

I'm writing an essay where I get into how I use GNU Emacs along with gptel (a simple LLM client for Emacs) and Google's Gemini-3 family of models to turn a 1970s-vintage text editor into a futuristic language-learning platform to help me study Latin. I want to show how I liberate poorly aligned, pixelated PDF image scans of century-old Latin textbooks from the Internet Archive and transform them into glorious Org mode documents while preserving important typographic details, nicely formatted tables, and some semantic document metadata. I also want to outline how to integrate a local lemmatizer and dictionary to quickly perform Latin-to-English lookups, and how to send whole sentences to Gemini for a detailed morphological and grammatical breakdown.

I also intend to dig into how to integrate Emacs with tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, load it into the LLM's context window, and send it off for transcription. If the essay isn't already too long, I'll demonstrate how to gather forced-alignment data using local models such as wav2vec2-latin so I can play audio snippets of Latin texts directly from a transcription buffer in Emacs. Lastly, I want show how to leverage Gemini to automatically create multimedia flash cards in Org mode using the anki-editor Emacs minor mode for sentence mining.

Tool that lets you build shortcuts and custom functionality for most macOS apps. You write JS snippets like this:

    const app = new App("com.apple.finder")

    const window = app.$({role: "window"})
    const someButton = window.$(/* another query */)

    someButton.press()

Targeted towards music producers and AI (there's one collection of snippets that starts an MCP server and exposes some basic functionality) in the beginning.

Wanted to see if AI could figure out how to compress executable binaries better than existing generic tools without me actually knowing much about compression engineering or ELF internals.

The result is an experiment called fesh. It works strictly as a deterministic pre-processor pipeline wrapping LZMA (xz). The AI kept identifying "structural entropy boundaries" and instructed me to extract near-branches, normalize jump tables, rewrite .eh_frame DWARF pointers to absolute image bases, delta-encode ELF .rela structs with ZigZag mappings, and force column transpositions before compressing them in separated LZMA channels.

Surprisingly, it actually works. The CI strictly verifies that compression is perfectly reversible (bit-for-bit identity match) across 103 Alpine Linux x86_64 packages. According to the benchmarks, it consistently produces smaller payloads than xz -9e --x86 (XZ BCJ), ZSTD, and Brotli across the board—averaging around 6% smaller than maximum XZ BCJ limits.

I honestly have no idea how much of this is genuinely novel versus standard practices in extreme binary packing (like Crinkler/UPX).

Repo: https://github.com/mohsen1/fesh

For those who know this stuff:

Does this architecture have any actual merits for standard distribution formats, or is this just overfitting the LZMA dictionary to Alpine's compiler outputs? I'd love to hear from people who actually understand compression math.

I vibe coded a tiny MUD-style world sim where LLMs control each character. It's basically a little toy sandbox where LLMs can play around. There's no real goal to this, I just thought that it would be fun, like a more advanced tamagochi.

One of the issues I encountered initially was that the LLMs were repeating a small set of actions and never trying some of the more experimental actions. With a bit of prompt tweaking I was able to get them to branch out a bit, but it still feels like there's a lot of room for improvement on that front. I still haven't figured out how to instill a creative spark for exploration through my prompting skills.

It has been quite exciting to see how quickly a few simple rules can lead to emergent storytelling. One of the actions I added was the ability for the agents to pray to the creator of their world (i.e. me) along with the ability for me to respond in a separate cycle. The first prayer I received was from an agent that decided to wade into a river and kneel, just to offer a moment in stillness. Imagining it is still making me smile.

Unfortunately, I don't have access to enough compute to run a bigger experiment, but I think it would be really interesting to create lots of seed worlds / codebases which exist in a loop. With the twist being that after each cycle the agents can all suggest changes to their world. This would've previously been quite difficult, but I think it could be viable with current agentic programming capabilities. I wonder what a world with different LLM distributions would look like after a few iterations. What kind of worlds would Gemini, Claude, Grok, or ChatGPT create? And what if they're all put in the same world, which ones become the dominant force?

I’ve been messing around with a similar project (but in a grimdark/cosmic horror setting). I was running into the same issue, agents getting stuck in a loop. What worked for me was adding dwarf fortress/rimworld like systems. The random events and systems influencing systems worked wonders for me.

Sounds fun. Can't beat a good whimsical project!

I'm building ata, an open source research and coding agent. Started as an internal tool, open sourced it a few weeks ago. It helps me combine and understand concepts across multiple papers, pull the best ideas from each, and turn them into code. It uses Treesitter and Lsp for multi-repo code understanding.

The focus is on the interfaces: there's a reading view that keeps you locked in without drowning in information, and a voice mode with karaoke-style word highlighting. Also built an iOS app for research on the go, releasing that soon.

npm install -g @a2a-ai/ata https://github.com/Agents2AgentsAI/ata/

I think a lot of people have projects like this going at the moment, but I'm working on a deterministic (i.e. code / data persistence) layer that sits between agents and helps orchestrate their work.

Basically an API wrapping a cyclic graph where rules govern the state transitions / graph traversal (i.e. rules around handing off work between agents and the associated review, rollback and human intervention escalation logic).

It's mostly just to teach myself about multiagent patterns and what blend of "agentic autonomy" and deterministic / human governance gets the best results with the current set of (Anthropic) tools available.

I don't really know what I'm doing w.r.t AI, but having 15 years of industry SWE experience (high-availability distributed systems and full-stack web dev) on top of a fairly-solid CS education I feel like I know what the results of a working system should be and I'm learning a lot about the AI pieces as I go through trial and error.

Generally it feels like there are lots of ways the next generation of AI-assisted coding workflows could work best (beyond just "AI helps write code", I mean) and the results will be as much about the tooling built around the AI bits as it will be the improvements in models / AI bits themselves (barring a theoretical breakthrough in the space).

Trying to figure out what my personal dev workflow will look like in the middle of this evolving landscape is what led to this project, very much a scratch my own itch thing.

I'm working on a Chess improvement app https://blunders.ai.

The main goal is letting people analyze their games and improve by studying their blunders. It uses stockfish and AI for analysis. You can chat with your games like "Why would I do ___ instead of this?"

Also, there are the standard puzzles and openings type learning with improvement plans.

I've been playing with something similar! Curious how you are interfacing with Chess.com / lichess.org, are you having people paste their PGN's?

Right now I'm having people paste their PGNs - I had sync working but took it out as I'm waiting for some clarification on the API use https://www.chess.com/clubs/forum/view/readme-1

As a personal learning project on how to write efficient GPU code I'm trying to implement different shortest-path algorithms on the GPU. This is notoriously one of the cases where a simple algorithm like Dijkstra on the CPU will beat many implementations on the GPU.

It has been a lot of fun to learn about Vulkan / GLSL and the GPU execution model to figure out why the CPU is so much faster than the GPU. I'll be open sourcing the code soon but so far I'm documenting my journey in a series of blog posts. First one of the series is https://www.execfoo.de/blog/deltastep.html

I've been working on a Ontario open data MCP: https://github.com/sprine/ontario-data-mcp

There is a wealth of data that's behind CSVs and other data formats. This uses DuckDB as a common (local) database to cache and run queries against, and enables going across datasets for insights using LLMs.

Oh, so many things. I guess that’s both the blessing and the curse of agentic ai today.

The most fun is a simple Claude Code in a loop, Boucle, which builds and iterates on its own framework[0][1].

The first thing it built was a persistent memory. Now it has finally built itself a "self-observation engine" after countless nudging attempts. Exploring, probing, and trying to push back the limits of these models is pure chaos, immensely frustrating, but also fun.

Aside from that, some sort of agent harness I guess we call them? Putting together a "system" / "process" with automated reviews to both steer agents, ground them (drift is a huge pain), and somehow ensure consistency while giving them enough leeway to exploit their full capabilities. Nothing ready to share yet, but I feel that without it I’ll just keep teetering on the edge of burnout.

[0]: https://github.com/bande-a-bonnot/boucle-framework

[1]: https://blog.boucle.sh

An immobiliser for my car. Had trouble finding devices that would cover the specific attack vectors my car would be susceptible to. Checked my insurance, no specific clauses around immobilisers, check relevant road laws, no issues there.

I have a fairly novel approach to operating it, and in the case of one time theft prevention security through obscurity is actually a great approach. The assailant only has a short time to pull the car apart and solve the puzzle, couple that with genuine security techniques, a physical aspect, and it should be pretty foolproof.

It can still be towed away, etc, not much to be done there except brute force physical blocks. Most cars get stolen here to do crime in that night so it's not as common.

I’ve seen implementations which need a magnet pressed to the door plastic in a specific place. Security through obscurity as you say but clever anyway - you basically need both a magnet on hand and know where to hold it.

Or time to pull the car apart

That's a really cool idea. When I was a kid my dad added an immobiliser to our car (flashing LED etc) with a hidden switch. It would have potentially taken quite some time to find if you didn't know where it was.

Adding a puzzle is brilliant and I would love to read a blog about this. Post it here on HN ;)

I made an idle version of the 1999 MMORPG "EverQuest". There's maybe around 50 people playing at any given time and has a enthusiastic discord group for it. It's relatively fully-featured to the original game, and has a lot of new mechanics to make the idle format work well. The 3D graphics aspect of it is really more of a screensaver, though, and all game interactions are done through menus.

I recently converted a bunch of stuff to be client side instead of server side (turns out running a real-time MMORPG server is expensive) so there's a new round of bugs I'm still resolving, but it's still fun to play:

https://www.idlequest.net/

I just started building an operating system that will be written entirely in one text file. This text file includes in order: a readme, a RISC-V assembly boot code, then the rest. You run it by compiling the initial boot code with a RISC-V assembler, then you concatenate the binary with the whole text file itself. Then when you run it, the boot code will compile the rest of the text file (the operating system), including higher level language compilers that the rest of the system will be written in.

This is the kind of project that creates something from as little as possible, where the only things you need to get started are a very basic RISC-V assembler and a computer or emulator to run it on.

I don't have anything interesting to show yet because I just started yesterday, but one day I will show you.

Is it also self-hosting as a sort of meta-quine?

I've had a flurry of activity working with emacs, breaking out some things that were previously "Steve stuff" inside my local configuration into real packages.

One thing that I've been very happy with has been "org-people", now on MELPA, which allows contact-management within Emacs via org-mode blocks and properties. It works so well with the native facilities that it's a joy to work on.

I've been learning a lot of new things while I've been expanding it now it has a bigger audience (e.g. "cl-defstruct" was a pleasant surprise).

https://github.com/skx/org-people/

Extremely performant JS port of Lemmings (~28,000,000 Lemmings at original game speed on a decent PC), with a full midi subsystem (going to turn it into a weird sequencer), a level editor, etc https://doublemover.github.io/LemmingsJS-MIDI/

Slopjective-C 3.0 https://github.com/doublemover/Slopjective-C

Whatever this is, I don't feel like explaining it, ask claude https://github.com/doublemover/PairOfCleats

And a zachtronics inspired game about building Ring Laser Oscillators in an attempt to make something that gets export controlled like the nuke building game. https://i.imgur.com/UGhT3BI.png

And a platformer for one of my favorite musicians that will be part of the media push for their next release.

And a spiritual successor to Math Blaster: In Search Of Spot to make sure my nephew and all of my friends kids are at least as good at math as I am.

Lemmings seems as fun as ever. I sped it up on one level and then the next level started at crazy fast speed and I couldn't figure out how to slow it down again. But otherwise looks nice.

Thanks :) The hardest part of making this was not spending all of my time playing.

F1 or ? will show the shortcut keys.

There are little +/- buttons you can click on (bottom of "Paws" button) to do this, right clicking will reset the speed.

There's also a benchmark mode, lots of other flags. This URL will run the game endlessly, spawning 10 lemmings at a time, automatically adjusting the speed to run as fast as it can, reducing speed when frames take too long. I chose a level that ensures they splat so that anyone who clicks on this and forgets about it only crashes the tab and not their browser https://doublemover.github.io/LemmingsJS-MIDI/?version=1&dif...

[dead]

how do 28million Lemmings fit on a 320x200 VGA screen? :-D

/s

That's the neat part, they don't! Getting the blitter performant enough to handle this was a blast, and it really shines at absurd speeds on high refresh rate displays.

I'm unsure what the other comment is on about, it is a fork in spirit only at this point. He is also credited in the readme, along with the excellent Lemmings community which made figuring out how every mechanic is actually supposed to function very easy.

Building Mixtrain - Platform to build task specific models. Focus on multimodallity usecase - video, image, robotics. Covers the entire post training life cycle - data management & curation, training, Eval & rollout.

Models are the new software. And just like software, three general-purpose ones won't be enough. Why specialized models are inevitable https://mixtrain.ai/blog/special-models

Here's how Mixtrain can help:

  - Multimodal dataset management: version, query, inspect, and curate image/video/3D datasets
  - Workflows & models: train and run your models on serverless GPUs. Run experiments rapidly and ship to production. Access 100s of external models through the same API.
  - Live eval: create instant evals from your datasets with side-by-side comparison of anything — images, time-synced video, 3D/4D visualizations, masks, and more. Here's an example video eval https://app.mixtrain.ai/s/eVRwOcb7KhUZOb9xbFFgfHIuF0jyJUaBT6TKNg19OfU. Evals stay current as your datasets evolve.

PC Part Picker for hi-fi stereos: https://buildhifi.com/

I've wanted this for a long time, so I finally started building it. I've had a lot fun!

- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)

- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference

- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more

I’m not a hi-fi guy but my dad is going to freak out!! He’s going to absolutely love this

Why not... hifipartpicker?

https://e.ml A free inbrowser inbox for inspecting .eml (email) files. There are many one-off .eml viewers around but I found myself inspecting the same files many times which evolved into this concept of an inbrowser inbox. Plus, world's shortest domain (3 characters) and the domain is an exact match for the file extension, a fun novelty. Very easy to remember!

https://milliondollarchat.com a reimagining of the million dollar homepage for the AI age. Not useful, but fun. A free to use chatbot that anyone can influence by adding to the context. The chatbot's "thoughts" are streamed to all visitors.

I’m working on a language learning tool where it uses LLMs to generate stories at your ideal level. The idea is the user would be provided stories that are 95% comprehensible, with the other 5% being a mix of brand new words or words you are still learning. As you read the story you click on words that you still don’t fully understand. I am only working on Spanish right now, since I want to optimize for each language. It’s been fun designing my databases, coming up with calculation ideas, designing story validation, creating an estimation system of a user’s knowledge for onboarding. I know there is some debate about LLMs in language learning and I don’t think they should be trusted to explain grammar but if you validate it’s output it can be such a great tool to learn at your perfect level.

I'm building two things, both game related.

Over the last year I've been hacking on Table Slayer [0] a web tool for projecting DnD maps on purpose built TV-in-table setups. Right now I'm working on making hardware that supports large format touch displays.

Since I also play boardgames, this past month I threw together Counter Slayer [1], which helps you generate STLs for box game inserts.

Both projects are open source and available on GitHub. I've had fun building software for hobbies that are mostly tactile.

[0]: https://tableslayer.com

[1]: https://counterslayer.com

Cool! I was going to shamelessly ask if your DnD group had an open spot I could interview for :), but you're not in Austin.

(If you're a local reading this and enjoy DnD w/ roleplay and acting, email's in my profile)

I am continuing to work on Kan [0], a dev-focused kanban board that works via plain text files in your repository. I am finding it really useful for solo projects, giving a really simple way to get per-project Kanban boards that I can sync via Git. Since it's local only, it's really snappy, and given the dev-focus, it can offer some pretty nice workflows with local hooks, customization, etc.

The other project I am continuing to work on is Rad [1], a programming language tailor made for writing CLI scripts. It's not for enterprise software, it specializes specifically in CLI, offering all the essentials built-in, such as a declarative approach to arguments and generated help (as opposed to Bash where you have to roll your own arg parsing and help strings each time).

[0] https://github.com/amterp/kan

[1] https://github.com/amterp/rad

I have been working on quite a bit of things… but lately I went back to my hobby project of the last year:

https://DuoBook.co

It’s like netflix for language, where users can select/create their personal bilangual stories.

I had quite a lot of feedback from HN, friends, random people on the internet and trying to solve the common pain points and find my way around to make it geniunely useful.

- Most people said it’s hard to come up with a story, so I added url grounding. Also added buttons (including HN :)) so people can just click click and get their stories at their level with their interests.

- Made sure people can generate stories without ever signing up

- Each word is highlighted while being read, and the meanings can be checked with a tap. I also added an option for users to read the sentence for being checked how good their pronounciation is.

- Benchmarked 7 different models to get the fastest & highest quality story generation (it’s gemini now) and it’s insanely fast. I might share more about it on the webpage because I am an engineer and I enjoy this stuff lol.

- Added CSV import in Use my words so Anki users can just import their words to study.

- Also people can download their stories as pdf so they can send it to their kindles.

- I am working on a ChatGPT app, so people can just say “@DuoBook give me a Dutch/English story on latest Iranian events” within ChatGPT, but I am a bit afraid that it might be costly lol.

cool idea!

For language geeks: https://kpt.datamediate.com

KPT is a language app specifically targeted at explainable verb conjugation for highly inflected/agglutinative languages. Currently works for Finnish, Ukrainian, Welsh, Turkish and Tamil.

These are really hard languages to learn for most speakers of European languages, particularly English - we're not used to complex verb conjugations, they're hard to memorise and the rules often feel quite arbitrary. Every other conjugation practice app just tells you right/wrong with no explanation, which doesn't really help you learn when there are literally hundreds of rules to get right.

The interesting part was using an LLM to create a complete machine-executable set of conjugation rules, which are optimized for human explainability, and an engine to diagnose which rule is at fault when you get it wrong. There's several hundred rules needed for each language in order to cover all exceptions.

NB as a bonus it also works fully offline because my best practice hours are when I'm travelling and have poor connectivity.

This month I'm recovering from major surgery. I'm okay, it's something I've been waiting to get done for a very long time. I'm just bored in recovery and running out of my science YouTube backlog.

Do you want some more science YouTube recommendations to top that off?

Hope you feel better soon!

What sorts of topics do you enjoy learning about on Youtube?

Some fun channels if you are bored, and I hope you feel better soon =3

https://www.youtube.com/@project-326/videos

https://www.youtube.com/@Asianometry/videos

https://www.youtube.com/@PhysicsExplainedVideos/videos

https://www.youtube.com/@TwoMinutePapers/videos

https://www.youtube.com/@DrBenMiles/videos

https://www.youtube.com/@professorjenniferhaslersci8510/vide...

https://www.youtube.com/@RobertFeranec/videos

https://www.youtube.com/@AdvancedTinkering/videos

Building a voice recorder/transcription/summarization app where everything runs on-device. No cloud, no uploads, no servers processing your audio.

Started with a web version using WebAssembly Whisper to validate the idea. Worked well enough to prove demand, but browser sandbox limits (no background recording, inconsistent model performance) pushed me to go native.

Rebuilt as an iOS/macOS app with CoreML. Apple Silicon handles Whisper-class models locally without issues, but its confined to recent devices.

I'm working on e2ee sync between web and mobile. I want to build a simplenotes but for audio transcription.

Try the web version at: https://basilai.app/app

https://github.com/hsaliak/std_slop a sqlite centric coding agent. it does a few things differently. 1 - context is completely managed in sqlite 2 - it has a "mail model" basically, it uses the git email workflow as the agentic plan => code => review loop. You become "linus" in this mode, and the patches are guaranteed bisect safe. 3 - everything is done in a javascript control plane, no free form tools like read / write / patch. Those are available but within a javascript repl. So the agent works on that. You get other benefits such as being able to persist js functions in the database for future use that's specific to your codebase.

Give it a try!

I've been cleaning up an antique treadle sewing machine (a White rotary shuttle machine; still unsure of the exact manufacturing date but it seems to be a Family Rotary). This is my second treadle machine (the other one is a 1909 Singer 15K) and my first non-Singer machine, so it's been super fun to work on. The bobbin mechanism in particular is interesting in comparison to the Singer Model 15 because the hook rotates around the bobbin continuously instead of oscillating. It was in great condition when I got it -- other than a new treadle belt, which I put in yesterday, it only wanted some oil and light cleanup in the ultrasonic cleaner of removable parts like the presser foot and bobbin mechanism, and now it sews beautifully. I also did a first pass on touching up the gold decals on the treadle table with oil paint. Hoping to try out some quilting on it this week, although my cutting table is currently occupied by a bookbinding project so I might need to finish that first.

Separately I've been dipping my toes in to hosting things on the Scary Public Internet with an IRC server (as a backup/replacement for a personal Discord server) and a static Hugo website (for hosting fanfiction; there've been a few AO3 outages lately and I thought it would be fun to experiment with things like audio embeds). I'm a roboticist so my experience with webdev is pretty minimal, but I managed to figure out nginx eventually. I'm actually kind of frustrated with Hugo as an SSG because it really doesn't want you to run pandoc with custom arguments for markdown -> html conversion, and pandoc doesn't want to generate ToC on my markdown files, but the default markdown converter (goldmark) doesn't correctly process markdown italics inside of html tags (e.g. `<center>`), so my current compromise is to use pandoc on almost everything and goldmark anywhere I care about having a ToC.

Working on chain of custody for financial transactions!

Our first offering is OrderProof which records Shopify transaction evidence and generates PDF to help merchants streamline chargeback disputes.

https://turboops.io/products/orderproof

----

more about the problem here:

https://www.linkedin.com/pulse/you-losing-shopify-chargeback...

I used Rust to build a terminal based IDE for parallel coding cli workflow. It works with Claude Code, Codex and Gemini!

My favorite features are: - custom layout and drag and drop to change window - auto resume to last working session on app starting - notifications - copy and paste images directly to Claude Code/Codex/Gemini CLI - file tree with right click to insert file path to the session directly

OH and it works on both Windows and MacOS! Fully open source too!

https://github.com/oso95/Codirigent

I've been plugging away on MadHatter (https://madhatter.app), a web tool for knitting/crochet projects. It works best on desktop!

Why? Many yarncrafters painstakingly build spreadsheets, or try to bend existing general purpose pixel editors to their will. It's time consuming & frustrating.

Along the way, I've solved a bunch of problems:

  - Automatic decreases (shapes the hat) / overstitching markers (shows when multiple colors are used in the same row)
  - Parameterized designs, like waves, trees, geometric shapes. No more manually moving an object by a couple of pixels, it's a simple click & drag.
  - Color palette merging (can't delete a color if you already use it in a pattern!)
  - Export to PDF (so you can print it or stick it on a tablet)
  - Repeat previews (visualize the pattern as it repeats horizontally)

If you drag a shape near the right edge of the canvas, you'll see it "wrapping around" onto the right edge.

This reflects the 3D reality of a hat!

I took a look at it because you do PDF generation (I am doing front-end PDF generation in my project as well so I wanted to compare), not because I know anything about knitting or crocheting. I made a design, drew on the grid a bit, but was unable to export. I am not sure if I was missing something but it would be helpful to the user if there was a message in the export area about why they cannot export yet.

I recently built a small iOS expense tracker called Ledgee.

I tried quite a few finance apps over the years, but they all felt too heavy for what I needed. I mainly wanted the fastest possible way to record a transaction before I forget it.

The core interaction is basically:

enter amount → tap category → saved

No save button, no forms, no subscriptions. Just quick manual entry, a simple overview, and a ledger. Data syncs via iCloud so it’s backed up automatically.

https://apps.apple.com/us/app/ledgee/id6759487219

I’m curious whether other people also prefer manual entry over bank integrations.

I'm working on a personal recipe site called Struggle Meals, in the genre of https://traumbooks.itch.io/the-sad-bastard-cookbook and https://old.reddit.com/r/shittyfoodporn/, for food I ate when I felt too poor / depressed / tired / chronically unwell. Some of them are just normal adulting recipes. Some are meal prep. Some are too struggly for a legitimate recipe site.

I have some barebones content at https://struggle-meals.wonger.dev/ and will be working on the design over the next few weeks. Some decisions I'm thinking about:

- balancing between personal convenience and brevity vs being potentially useful for other people. E.g. should I tag everything that's vegan/vegetarian/GF/dairyfree/halal/etc? Should I take pictures of everything? (I'd rather not)

- how simple can I make a recipe without ruining it? E.g. can I omit every measurement? should I separate nice-to-have ingredients from critical ingredients? how do I make that look uncomplicated? (Sometimes the worst thing is having too many options)

- if/how to price things? Depends on region, season, discounts, etc

I am working on https://baolib.org.

Applications on the public cloud raise strong concerns about data protection. As an architect, I spend a meaningful part of my time ensuring the security of customers’ data in the cloud.

Bao introduces an innovative approach where data remains on local devices while the cloud provides encrypted storage for synchronization and peer exchange. Because cloud providers cannot access the data, the need for due diligence is reduced.

Any feedback is welcome.

Any connection with bao or openbao, the fork of hashicorp vault ? I fail to see any reference on the site

I'm building a very casual daily price-guessing game for my mum. Every day she gives me feedback, and I'm using it as a chance to de-rust my CSS/React + see how daily games tick.

https://scandle.co.za

https://easel.games

A 2D game programming language with automatic multiplayer. Normally when you make a multiplayer game, you have to constantly think about how every bit of state is going to be synchronized. Easel bakes the multiplayer into the programming language itself, underneath all your code, so you can just code as if all players are in one shared world, like a singleplayer game, and Easel just makes your game multiplayer completely automatically. It’s intended as a fun way for beginners to learn to code - like a combination of Scratch and Roblox.

I absolutely love pre-1800 homes and am exploring a few ideas on how to help preserve and promote them. The main thing I'm working on to that effect is https://homelore.org

It's like a carfax but for your home, although the intention is more to create an interesting historical narrative that inspires people to care about the history of their home rather than as a tool for inspecting home issues before buying.

My target customer is realtors who want to inspire buyers to take on historic homes that may need a lot of work. Also home owners themselves of course.

This looks great and I'll probably order a report. A couple of small suggestions. First, the price is very reasonable, but I think you should be more open about what it costs -- maybe on the home page or at least the Order Report page. Second, I think you should tell what areas of the country (world?) that you can provide reports for, again on the main page would be great.

I agree on both points, thanks for the feedback.

“Like carfax but for your home” is a really interesting idea. So many homes are bought with little-to-no history beyond an inspection of questionable thoroughness.

If this became the norm, somehow, it would be a really helpful tool for both buyers and sellers.

I've been slowly hacking on game ideas on and off for the better part of a decade and I've finally switched tracks and trying to seriously build something full time

I've given myself 6 months

It's a bit scary basically 180ing like this but I figure if I don't try it now I never will

I've already started prototyping various ideas, and to be honest just sitting down and spending time doing this has been really quite lovely

One thing I'm finding fun is slowly unearthing what I actually find interesting

I started with messing around in minecraft and tinkering with rimworld-like game ideas, but I'm slowly moving away from them as I've been tinkering more and more

Don't get me wrong, I do want to revisit them at some point in the future, but I do find myself circling more around narrative, simulations and zachlikes

It's a bit of an odd mix and in some ways they look like paradox style games, but I'm well aware that taking one of those behemoths on is going to be a bit silly, so I'm trying to slim down until I get to a kernel that I actually find enjoyable tinkering with

A toy if you will

Currently I'm trying to work out if there's anything interesting in custom unit design, basically unpicking how games like rollercoaster tycoon's coaster design maps to stats like excitement ratings and seeing how that might mix with old school point buy systems

It feels like it might be small enough to be a good toy and I'm having fun tinkering with it, but I have no idea whether other people will xD

It might honestly be too niche for anyone and I've successfully optimised for an audience of one :shrug:

I am working on a declarative CLI for google docs/sheets/slides etc. The general idea is a "pull" command that converts the proprietary document into a local files like tsv or xml. The agent (claude code) then simply edits these files in place and calls "push". The library then figures out the diff and applies only the diff, taking care to preserve formatting and comments.

The hypothesis is that llms are better off getting the "big picture" by reading local files. They can then spend tokens to edit the document as per the business needs rather than spending tokens to figure out how to edit the document.

Another aspect is the security model. Extrasuite assigns a permission-less service account per employee. The agent gets this service account to make API calls. This means the agent only gets access to documents explicitly shared with it, and any changes it makes show up in version history separate from the user's changes.

Early release can be found over here - https://github.com/think41/extrasuite.

Building Gatana, a platform for securely connecting an organizations agents to their services, with very flexible credential management and federated IDP trust.

Currently my mini-projects includes:

* 0% USA dependency, aim is 100% EU. Currently still using AWS SES for email-sending and GCP KMS for customer data key encryption for envelope encryption.

* Tool output compression, inspired by https://news.ycombinator.com/item?id=47193064 Added semantic search on top of this using a local model running on Hetzner. Next phase is making the entire chain envelop encrypted.

* "Firewall" for tool calls

* AI Sandboxes ("OpenClaw but secure") with the credential integration mentiond above

https://www.gatana.ai/

I'm working on https://www.wirewiki.com.

A browsable map of internet infrastructure. Not just a collection of lookup tools, but it also interlinks results, so you can navigate linked assets as well. Think: DNS lookup -> SPF record -> mail provider's SPF record -> IP address details.

I’m working on a 2D top-down Zelda-style adventure MMO game. I’m imagining it as a persistent world with Minecraft-like building and procedurally generated quests. I’d like to focus on co-op adventuring and social rather than pvp. Kind of a D&D experience I suppose, though that’s not really a direct inspiration for me.

I have no illusions that this is actually something in capable of building to an actual release-able state but it’s fun to tinker with.

I built a simple joke tool to analyze all the rejection emails (over 1600) that I got during the recent job searches and create simple bar graphs from it. Wrote a blog about it https://github.com/khante/l here https://rohankhante.substack.com/p/thank-you-for-your-applic....

PS - The results are entirely obvious.

Keep it up, bro!

A soccer web game where you are the coach and your only possible interaction is shouting (ie typing) messages to your players from the sidelines. An LLM interpret your messages and pass instructions into the game engine.

It is a pretty fun project

I could see this being a very eye opening game if you added "Fan" and "Parent" modes. In "fan" mode nothing you said would affect the game, although maybe a player would laugh once in a while. In "parent" mode, you'd have a youth soccer game where whatever you said would confuse the player and they'd perform worse.

Sounds like a fun project -- like a more interactive version of Football Manager.

Neat ideas.

One thing I am exploring is that, with LLM (and enough $ to pay the tokens) you can filter out offenses and hate speech in player communications.

All typed message is effectively translated by the LLM as “coach speech” and what is put in the UI is the LLM output. Sure, it is not exactly the player words and can get expensive, but I think it can be a good solution

It's really a good idea. I've spend a little time on the sidelines as a coach (and parent and ref, but that's another story) and one thing that I think is crazy is the differences in what you think you can affect, and what you really can affect from the sideline. The technical area is a really small facet on the larger game, so I think your idea would make for a fun game. And knowing how much time my son spends playing Football Manager, I think there's an audience for it!

I've been working a combination recipe inspiration / meal planning application [1]. The idea is that you have:

- chef personalities generating interesting recipes every couple days

- the ability to save and edit these recipes to suit your needs/ingredients

- the ability to schedule weekly meal plan generations that take the inspiration content and give you a plan and shopping list for the week.

We had our first kid this year and I've been having more trouble getting things together for home cooked meals. This is my attempt to make it is frictionless as possible. I'm working on getting instacart API access so I can build out the cart for the meal plan automatically, at which point I'm hoping this is a one click confirmation a week to keep interesting food flowing. Works great for scheduling baby meals as well!

[1] https://inspochef.com

Hi HN, I am still working on Circuitscript, a language based on python to describe electronic schematics: https://circuitscript.net/. A basic IDE (called the Bench) to try Circuitscript is available online: https://bench.circuitscript.net/

In the past month, as suggested by the previous user, I have added support for kicad schematic libraries. The kicad schematic libraries files are converted into circuitscript format and can be directly imported into circuitscript code. To support the large number of components in the kicad libraries, I had to improve the import functionality and also implement some caching to speed up the imports. With the kicad schematic libraries available now, it provides a larger library of components that can be used in circuitscript projects. The converted libraries can be found here: https://gitlab.com/circuitscript/kicad-libraries

The motivation for creating Circuitscript is to describe schematics in terms of code rather than graphical UIs after using different CAD packages extensively (Allegro, Altium, KiCAD) for work in the past. I wanted to spend more time thinking about the schematic design itself rather than fiddling around with GUIs.

Please check it out and I look forward to your feedback, especially if you are also exploring alternative ways to create schematics. Thanks!

Like an open source JITX

I'm building an image editor for macOS. Don't really like Affinity or GIMP so thought I'd go ahead and make my own. https://skullrocksoftware.com

Love the aesthetic of your app, old school GUIs ftw!

Thanks! I'm hand drawing all the icons which is slow going, but I'm drawing them in Mojave Paint. Nothing better than eating your own dogfood.

I quit my job a few months ago and started working on some of the ideas I always wanted to toy around with. Built bunch of consumer apps and softwares. I built anything and everything that I was curious about.

Right now, actively building and growing https://OpenScout.so which is a tool for tracking mentions on Reddit, Linkedin, Twitter and HN. This is primarily made for early stage SaaS founders to help them with brand visibility problem.

Also, I don't support bots so we will never built bot solutions. This is against most of the ToS of platforms. I started this because I truly realised that building has commoditised and the go to market is the real deal. This tool helps with that. I'm going to add more features and I would love for you to try it.

I'm making a PC game called Doggy Don't Care. You're a dog left at home alone getting up to mischief https://store.steampowered.com/app/2438180/Doggy_Dont_Care/

It must be fun to think of all the mischief a doggo can get into :)

https://metoro.io/ - “AI SRE” for k8s that finds and root causes issues and raises fix prs, checks if deployments introduced any regression or any new behaviour by looking at code and ebpf generated telemetry (doesn’t rely on existing telemetry/integrations as a result). Looking for feedback, thank you!!

Ps: i dont like the term “AI sre” but its what people call it…

I've been working on my attempt to build a dating app that isn't evil and actually helps. It feels like my graduate project after 46 first dates on my way to getting married this summer.

The basic idea is daters "teach" an algorithm what they like and then the algorithm uses the collective set of preferences to match everybody (or as many as possible) for single in-app "get to know you" chats. Everything is one-on-one to avoid overload and dead-end chats.

I now have working versions in the app stores and I'm currently testing in Seattle.

[1] geml.co [2] App Store - https://apps.apple.com/us/app/geml-dating/id6756629998 [3] Play Store - https://play.google.com/store/apps/details?id=com.geml.andro...

I have been in this field professionally and tried to do the same. May I ask:

a) how are you going to do the marketing?

b) according to my experience, all this social/viral stuff etc. does not work anymore today

c) former ideas like content & SEO -> is dead

d) nobody wants to talk today about anymore on being on a dating app?

e) And Sorry for being an Ass here: After I've lost a not-that-low-number of funds due to "following this idea" (just for prototyping/alpha & beta & final release), my recommendation is: Stop this immediately, it will save you years of your life! Im absolutely pro creating whatever app or service you may come along, but please please forget the dating market

P.S.: you will come back to this comment in 4 -5 years, latest :-)

I appreciate the comment (and the candor). Coming from someone who’s been in the trenches and seen the burn rate firsthand, I can't argue with your perspective.

You’re right that the 'traditional' playbook (SEO, viral loops) is largely broken for new dating entrants. Largely because I believe there's a lot of dissatisfaction with current offerings, I've been able to build a decent sized list of folks who want to try it out.

I'm curious. Given your experience, do you think there's any room left for hyper-local, community-first growth, or is the market truly locked by the incumbents regardless of the tech?

I’d love to hear more about where you saw the biggest friction points during your release.

Rewriting the backend Bitwise Cloud, my semantic search for embedded systems docs Claude Code plugin from Python to Go.

The problem was the ML dependencies. The backend uses BGE-small-en-v1.5 for embeddings and FAISS for vector search. Both are C++/Python. Using them from Go means CGO, which means a C toolchain in your build, platform-specific binaries, and the end of go get && go build.

So I wrote both from scratch in pure Go.

goformer (https://www.mikeayles.com/blog/goformer/) loads HuggingFace safetensors directly and runs BERT inference. No ONNX export step, no Python in the build pipeline. It produces embeddings that match the Python reference to cosine similarity > 0.9999. It's 10-50x slower than ONNX Runtime, but for my workload (embed one short query at search time, batch ingest at deploy time) 154ms per embedding is noise.

goformersearch (https://www.mikeayles.com/blog/goformersearch/) is the vector index. Brute-force and HNSW, same interface, swap with one line. I couldn't justify pulling in FAISS for the index sizes I'm dealing with (10k-50k vectors), and the pure Go HNSW searches in under 0.5ms at 50k vectors. Had to settle for HNSW over FAISS's IVF-PQ, but at this scale the recall tradeoff is fine.

The interesting bit was finding the crossover point where HNSW beats brute-force. At 384 dimensions it's around 2,400 vectors. Below that, just scan everything, the graph overhead isn't worth it. I wrote it up with benchmarks against FAISS for reference.

Together they're a zero-dependency semantic search stack. go get both libraries, download a model from HuggingFace, and you have embedding generation + vector search in a single static binary. No Python, no Docker, no CGO.

Is it better than ONNX/FAISS? Heck no. I just did it because I wanted to try out Go.

goformer: https://github.com/MichaelAyles/goformer

goformersearch: https://github.com/MichaelAyles/goformersearch

A visual explorer for the trees of San Francisco.

https://greenmtnboy.github.io/sf_tree_reporting/#/

For all the places it's bad at, AI has been fantastic for making targeted data experiences a lot more accessible to build (see MotherDuck and dives, etc), as long as you can keep the actual data access grounded. Years of tableau/looker have atrophied my creativity a bit, trying to get back to having more fun.

Nice! I’ve been working on https://treeseek.ca which is a different use case from most of the other open data tree sites I’ve seen — I want to be instantly geolocated and shown the nearest trees to me. I do a lot of walking and am often mesmerized by a particular tree, and I wanted something to help me identify them as quickly as possible, with more confidence and speed than e.g. iNaturalist (which i do also use).

This is an app that’s been bouncing around in my head for over a decade but finally got it working well enough for my own purposes about a year and a half ago.

Oh that's great! I was finding fun tree collections and wanted to go see them - unfortunately not in SF so not likely - but your app has some nice data around me that I can check out! Are you primarily using OSM data?

I was thinking of a google maps kind of "here you are, here's your walking path of interesting trees" potentially, or something else that could tie the overview to the street experience - on the backlog!

So the tree data itself mainly comes from municipal open data, just like yours does. Street Trees datasets are pretty common across cities. I just added SF yesterday after replying here :)

Otherwise the map tiles are coming from OpenFreeMap [1] which are indeed based on OSM.

Next steps I'm interested in are including economic + ecological benefits of the trees, highlighting potential pests / invasive species, maybe some other basic info about the species sourced from Wikipedia.

I like how you've got different icons for different types of trees; I've been thinking about how to encode DBH data as well but haven't settled on anything yet.

[1] https://openfreemap.org

awesome. we have an official one in nyc. https://tree-map.nycgovparks.org/tree-map

I had some ambitions of merging in other city tree data but hadn't gotten around to exploring it yet - NYC might be a good place to start!

Not as glamorous as everyone else but I'm learning Neovim to manage my todolist (replacing Obsidian). My goal is to just keep it at a single page, since instead of having power, a todo list really benefits from simplicity.

I just launched a free wysiwyg markdown editor. It currently uses only IndexedDB for storage making it as private as possible. The only network calls are polling for the "click to update" toast, and the feedback form.

I was sick of getting cross-eyed when looking at tables in raw markdown and was just running it locally. This weekend I realized it might be useful for others.

The goal was simple as possible UX. Open url, drag and drop or paste into wysiwyg -> very readable and editable markdown. No sign up, no tracking, no fuss.

Of note, if you copy from the richtext mode, it copies raw markdown. The inverse is done with paste.

Based on feedback, I am working on very optional cloud-sync for as cheap as I can make it.

https://md-edit.com

Free multi-device sync is now enabled with email, github, and google OAuth. Of course, privacy is not guaranteed in that case. However, people wanted it for convenience.

I was really trying my best for friction-less UX on this project. I would appreciate any feedback on how I did, either by comment or the feedback button.

I've wanted to read some long-form RSS feeds from the beginning, and friends had use cases for feed filtering, so I built https://sponder.app.

The filtering was easy, but RSS doesn't do "from the beginning" (RFC 5005 exists, but is mostly unused), so scope crept into a webpage-to-RSS tool that lets me convert favorite.site/s/archive - autodetection of the article structure was a fun side quest.

The whole thing is a little function engine (Yahoo Pipes called), so the final goal is `merge(archive, live_feed) | drip(N items per D days)` to have the archive transition seamlessly into current content. I expect I can push that live tomorrow or so.

And of course Podcasts are just RSS, so hey, let's skip reruns. That's doable with filters on the episode description, but with history in place I'll add title similarity checking. I'm trying to think how to recognize cross-promoted episodes too, without having to crawl every podcast.

Importantly, Sponder's _not_ a client. There are enough clients, any many are great. Each implements some subset of features, so Sponder's an intermediary that consumes and publishes pure RSS for us to use anywhere we want.

Project two started over the weekend and is the NYTimes' Pips, but colors. You're building a stained glass window with regional constraints, and the big difference from using dominos is colors can mix. Also, triangles! The engine works, and I'm designing the tutorial and first handful of puzzles now.

I've been taking a look at my sound change applier again. I've been trying to add syllable detection to it so that I can match directly on syllable boundaries instead of having to match on them explicitly in my sound change rules.

So I started by adding the ability to define syllable structure in the rules file, then I tried running the syllable rule through the same compiler I used for the regular sound change rules. It ended up being even slower than I was anticipating, so I decided to skip the NFA to DFA conversion step and wrote a backtracking NFA runner. This worked _okay_, but if the syllable rule isn't able to fully match a word it ends up backtracking forever, and I never managed to figure out how to fix that.

Last year I read a post about parser combinators and I decided to rewrite the syllable detector. I finished the rewrite and then ran into an error and gave up. This last weekend I revisited it and it turned out it was just user error again; my syllable definition rule had a mistake, but thankfully the error was a lot easier to fix with the new design. Now it emits a warning, and I'm rewriting my sample sound changes rules to use the new boundary markers and hammering out any issues, which are a lot less than I was afraid of.

I'm thinking about rewriting the sound change rule compiler to use the same combinators I did for the syllable rules, but it would be kind of a shame after all the work I put into the DFA compiler lol

https://github.com/marriola/Transmute

I'm working on Breadboard[0], a modern HyperCard for web apps.

We recently added an AI integration, starting with a UI agent. We're experimenting with a BYOK approach so anyone can try the assistant in the playground[1] without signing in while keeping it sustainable for us. Currently the AI integration connect to Gemini.

A logic agent is in progress, it's a bit trickier because it needs to work with Breadboard's visual-stacked-instructions language based on Hyperscript.

We're also releasing documentation.

[0] https://breadboards.io

[1] https://app.breadboards.io/playgrounds/hello – to access the AI assistant click on the Duck on the dock, you can try with a free api key from Google AI Studio[2] –

[2] https://aistudio.google.com/api-keys

I am working on some math education tools. One is free and open-source, the other is paid.

Free Math Sheets is a tool to generate math worksheet PDFs (and the answer keys if required). Currently it supports K-5 but I want to expand it to higher levels of math (Calculus, Physics, you name it!). You select a bunch of different options and then generate it. All in the front-end. No back-end or login in required. https://www.freemathsheets.com

If you are interested in helping out or forking it, here is the github repo github.com/sophikos/free-math-sheets

The paid project is Numerikos. I am going for something in between Khan Academy and Math Academy. I like the playfulness and answer input methods from Khan Academy (but it is linear, doesn't have a good way to go back and practice, etc.). I like Math Academy's algorithm (but it has multiple choice answers, yuck! and is easy to get stuck and doesn't have a good way to explore on your own). Currently Numerikos supports 4th and 5th grade math lessons and practice. The algorithm is based on mastery learning like Numerikos, but you can also see a list of all the skills and practice whatever you want. I am also working on a dashboard system where you can build your own daily/weekly practices for the skills you care about. Next up is 6th grade math and placement tests.

https://www.numerikos.com/

I'm working on a similar thing, but due to various problems I encountered (auto-grading, scheduling, guidance, ...) I have, for now, concentrated on making a curated collection of problems / exercises. It's not yet a generator but rather "one of each kind of problem".

The idea is that _any_ user-facing tool, whether an app, worksheet generator or whatever, will need something like this for content, so I'm making this available for free and hoping for others to build on top of it.

I'm sticking to university-level stuff because I feel that school-level, especially math, is over-saturated already.

Technically, it is currently built as a React app, but that is mostly me sticking to tools that get out of my way. Generating PDFs or Anki files should be relatively straightforward.

https://github.com/janitza-mage/spot-problems-4

Nice! University-level math would be great. That is my end goal as well, but I probably won't get to that until the end of the year. I am focusing on lessons that my kids will use, then switch focus to ones that I will use. Do you have it hosted somewhere? Or can you add some details/screenshots to the readme?

https://janitza-mage.github.io/spot-problems-4

We're building Aucly: https://aucly.co.uk/

It's an auction website for schools, charities etc without the exploitative transaction fees.

My wife and I are pretty heavily involved in our son's school PTA (parent teacher association) and have helped run school fundraising events for a few years, so we feel sort of like domain experts in this area :)

Besides the technical challenges, how difficult is it to handle the legal aspects? I imagine taxes, liabilities, etc. must play a big role?

In my personal research I investigate Wealth, power, and influence: Issues and solutions.

https://persagen.org/wpi/

I am fundamentally interested in ontology, relationships, and epistemology. I map ontological placement of entities as a foundational mapping of wealth, power, influence etc.

The current version (in pdf form) is 688 pp -- a dated (Nov 2025; 493 pp.) online version can be found online at

https://persagen.org/wpi/docs/wpi-ontology.pdf

An accessible color palette editor for creating branded palettes built from the ground up that pass WCAG/APCA contrast rules (which is much quicker and less of a headache compared to doing manual contrast checks and fixes later):

https://www.inclusivecolors.com/

The current web tool lets you export to CSS, Tailwind and Figma, and uses HSLuv for the color picker. HSL color pickers that most design tools like Figma use have the very counterintuitive property that the hue and saturation sliders will change the lightness of a color (which then impacts its WCAG contrast), which HSLuv fixes to make it much easier to find accessible color combinations.

I'm working on a Figma plugin version so you can preview colors directly on a Figma design as you make changes. It's tricky shrinking the UI to work inside a small plugin window!

I got laid off a while ago and I’m privileged enough to take time to reconsider what I want to do. I’ve been learning how to sketch which supports my bigger passion- printmaking. I’ve primarily been doing linocut which is carving negative space into linoleum, inking it up, and printing it on paper. I’ve got a membership at a local atelier and have branched out into drypoint, kitchen lithography, and what I guess is called LEGOpress. I’m sparking a lot of joy working with my hands every day. I have been finding adequate challenge in honing my craft as I try to figure out how to draw/carve the images I see in my mind.

I'm working on a desktop app that lets you bundle multiple apps into a "deck" and install them all at once. You can also add custom scripts, config files to specified paths, and it handles non-interactive installs silently. Built on top of WinGet/Homebrew for Windows & Mac. Use cases: new machine setup, onboarding teammates, sharing a standard dev environment across a team. https://desktopdeck.io

I love making games, and I've been building a no-code game engine by extracting reusable components every time I ship a new game. It started as me scratching my own itch, and now it's turning into a real platform.

Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click.

Since my last month, I shipped the asset marketplace and the LLM builder. Artists can now upload tilesets and characters, and unlike itch.io, assets drop directly into the editor. You can preview how they'll actually look in-game before using them [1].

An other problem I kept running into: even with a no-code editor, users don't know where to start. So now I'm extending it with a coding agent. Describe the game you want, and it assembles it — pulling assets from the marketplace, wiring up the event system, and using all the building blocks I've spent the past year extracting. Multiplayer, mobile controls, pathfinding, NPC behaviors — the agent doesn't build any of it, just reaches for what's already there.

Once the LLM assembles it, users will have a game ready to work on, and will still be able jump into the editor and tweak everything [2]. Here's an example of what it can already make [3] (after a lot of prompting), and the goal is to reach games like this one I built with the manual editor[4].

Hoping to release the AI mode in a week or two. The manual editor is live at https://craftmygame.com in the meantime.

[1] https://craftmygame.com/asset/mossy-cavern-JdYWai1

[2] https://youtu.be/6I0-eTmoHwQ

[3] https://youtu.be/FZ12XSZu4nM

[4] https://craftmygame.com/game/island-survivor-s1Ay7Go

I have been vibe coding using a combination of agents for the last year. Roo Code, Co-Pilot, Anti-Gravity and Codex.

However, none of the clients want to follow the development rules that I have built up, so I am trying to build my own.

https://mealplannr.io The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).

An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then has tight / easy integration into recipe lists.

Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.

If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev

Working on Sensonym (https://sensonym.com), a language learning app that teaches vocabulary through physical phone interactions. Shake your phone to learn "earthquake," blow on it for "wind," smile for "happiness." Nearly 40 different interaction types using accelerometer, gyroscope, camera face detection, microphone, etc.

Built with React Native/Expo. The hardest part hasn't been the sensor code, but rather designing interactions that feel natural rather than gimmicky. Each word needs to map to a physical action that actually reinforces the meaning. Solo dev, live in German app stores now. Previously co-founded another language learning startup (Sylby, partnered with Goethe Institute), so this is take two with a very different approach.

I'm making a "Podcast Search Engine", partially as an excuse to play with Elixir and Phoenix/LiveView.

It's basically just a frontend to a semantic search system, and is a tangent while I explore "knowledgebase" concepts.

I'm extremely interested in knowledgebases at the moment.

Building runtime to ship AI model updates to edge devices. Extremely light and runnable on just about any device: https://github.com/samratjha96/oxide

I've built a generic PKCS#11 interface to the Apple's Secure Enclave[1]

Primarily to use in conjunction with OpenVPN. Like secretive or /usr/lib/ssh-keychain.dylib[2], but not just for SSH.

1 - https://github.com/ne-bknn/nailed

2 - https://news.ycombinator.com/item?id=46025721

I made a game where you try to guess a daily mystery bird.

http://jerm.cool/bird/

It pulls a list of birds reported on eBird in your county in the last 2 weeks and you ask preselected questions like the the color or size to whittle down the possibilities. I also made a matching game that uses the same list and you have to match the name to a picture of the bird. I set it up for California for now. I wanted to get more comfortable with SQL and APIs.

Feedback welcome.

I like the idea and I would play it, but the system of coming up with questions and then having to answer them in order to narrow down the options is unintuitive. Can I see a picture of the bird? Can I hear its call? Can I guess species and see categories get narrowed down? Those aren't necessarily what you need to add, but they're what I'm used to for daily games, and what I expected when I clicked the link.

I like those! A picture of the bird would be the matching game. I want to add a bird song game too. The idea was to make it like the 20 questions game. Maybe I should lean into this more. I did make something where you guess the species and it narrows down through it's taxonomy.

http://jerm.cool/cafauna/

It's a bad ripoff of the much, much more fun metazooa (https://metazooa.com/play/game). I kike it but it gets real annoying when your down to 1 of 10 bats or something. I've been using it to read and edit Wikipedia articles for undeveloped pages.

Working on Book Reading Habit: https://bookreadinghabit.com

Built it because I wanted to read more, but most reading apps either feel too passive or turn everything into social noise. What worked better for me was making reading easy to start: short 5–10 min sessions, pick up where you left off, minimal friction.

So the app is basically centered around habit formation, with stuff like notes, progress tracking, session extension, shelves, and simple organization.

I care a lot about keeping it quiet: no ads, no feed, no unnecessary clutter.

Still early. Mostly trying to understand what actually helps people read more consistently.

Currently only available for iOS, but might release an android version in the future.

https://apps.apple.com/us/app/book-reading-habit/id674291326...

Stained Glass Atlas (https://stainedglassatlas.com/) - working on mapping/documenting as much of the publicly accessible stained glass as possible. No fancy tech (vanilla HTML/CSS/JS). Anyone who knows of great stained glass in their local area is welcome to come add to the data set!

This year, I decided to start opening up the tarball of random utilities that's been accumulating on my machine for years: stuff42.tar.gz.

The first thing I cleaned up was TCL-Edit <https://gitlab.com/siddfinch/tcl-editor>, a small Tcl/Tk text editor I wrote a long time ago. After seeing the Rust clone of Microsoft EDIT, I realized the obvious next step was to build a Tcl/Tk clone of the Rust clone of Microsoft Edit. Recursion shouldn't be limited to code.

I also built a tiny URL system in Perl <https://gitlab.com/siddfinch/perl-tiny-url>, meant to run locally. The idea is simple: short URLs for internal/VPN resources per client. I usually spin up a small daemon (or container) per client and get a dashboard of links I use frequently or recently.

Security is intentionally minimal since it's local, which conveniently lets me ignore authentication and other responsible behavior.

Goal for the year: Continue to open stuff42.tar.gz, pick something, clean it up just enough, and release it, and not have it by the end of the year.

Might even choose a language that might even be described as "modern."

I'm building out https://measuretocut.com, which started as a tool for myself to help with planning board cuts (and now sheet cuts). It calculates how much material you need for your project and gives you a plan for the materials and shows all the cuts you need to make and where to make them.

First release was in December for 1D cuts. Last month I released sheet cutting for 2D cut calculation. It's been working well for my own projects and it started getting consistent daily users since my last update in February. You can save projects now on the site for you to come back to later.

Any feedback is welcome. I'm always looking for what features to add next.

We're automating low-volume PCB assembly in the US!

https://pikkoloassembly.com/

That's cool! Do you have any info on how manufacturing is done in the US?

Have been tinkering with a few different projects:

- Tilth: Smart(er) code reading for humans and AI agents. Reduces LLM token use and cost by ~40% (benchmarked) https://github.com/jahala/tilth

- mrkd: Native macOS .md viewer (+preview in Finder) that imports iTerm2 and VSCode themes https://github.com/jahala/mrkd

- O-O: Self-updating articles concept with polyglot (bash/html) files. No server, no database. https://github.com/jahala/o-o

I'm building a proxy that sits between Claude Code and the model to visualize the full interaction loop. It shows prompts, tool calls, and responses in real time so you can explore how the coding agent is reasoning and operating. Project: https://github.com/tndata/CodingAgentExplorer

Yesterday - The start (rendering) of a basic voxel editor for generating OBJ and STL files with just the keyboard. To solve 95% of my 3D modelling needs it turns out I likely just need cubes.

Today - Parsing a website's HTML (lots of pages, lots of links) to update an RSS feed that accepts filters. Rather than manually checking a website and losing track of what I have or haven't reviewed, the idea is to feed it into an RSS aggregator.

An iOS app size analysis tool you can run on your Mac and track build size changes over time https://apps.apple.com/us/app/dotipa/id6742254881

I am working on a HTML-to-PDF converter written from scratch in pure Go. I got tired of using headless browsers for various reasons and decided to give it a try and implement something that I can use internally. However the results have far exceed my expectations and I've decided to open source everything. It's around 10x to 15x faster than wkhtmltopdf, which is by far the fastest headless browser converter. It's 80x-100x faster than a pagedjs. It's even 2x faster than PrinceXML, which is pretty much the most mature and reliable HTML-to-PDF converter on the market. It also produces the smallest PDF size.

I started small as a toy project, but gradually implemented full support for proper block context, flexbox layout, CSS variables, tables, etc. to the point where I have almost full support of all major CSS features (even math functions like calc(), min(), max()).

I'm cleaning up the code right now and will upload it later today or maybe tomorrow here: https://github.com/PureGoPDF

Do you intend to one day support all the paged media bits in pagedjs? I assume it works with their polyfill but it’d be great to have a built in more performant option.

Can you give an example? I'm not that familiar with pagedjs, just pulled it for the benchmark.

My library has support for @page rules, but that's actually pretty basic. I needed more advanced headers/footers and added support for in-html headers/footers like this: In your <body> you cna define headers/footers by wrapping content in a <section> tag. For example:

<body> <section> <header>... any HTML here, full CSS support</header>

  <div> Some normal flow content</div>

  <footer>Your footer HTML</footer>
 </section>

This structure is purely optional, but it's a really convinient way of designing pages with different styles in the same document. An HTML file can have any number of these sections meaning you can generate a PDF with different headers/footers.

Some other bits: It has support for 100% height that match the entire page, it can handle forced page breaks inside flexbox containers (Chrome doesn't even try ... just ignores it) and also follows page-break: avoid correctly - so it doesn't randomly split table rows for example.

Things like string-set and string (repeating section headers on each page), counter and target-counter (embedding page number references) etc. Prince and pagedjs support all the CSS3 paged media bits I've found myself needing, just wondering if that was on the roadmap.

I see. Yes, those are on the roadmap.

> PureGoPDF doesn't have any public repositories yet.

> I'm cleaning up the code right now and will upload it later today or maybe tomorrow here

I'm working on Firefly, a programming language for full stack webapps:

https://www.firefly-lang.org/

On my first game on Steam https://store.steampowered.com/app/3582880/Reprobate/

No unity, no engines. Only a custom homemade engine https://github.com/willtobyte/carimbo

I’ve been building Adversa [1], a tool that monitors competitor websites and explains what actually changed.

Most monitoring tools alert every time anything changes. That usually ends up being navigation tweaks or small copy edits. After a while the alerts just get ignored.

Adversa focuses on meaningful updates instead. It detects changes across competitor pages and uses AI to summarise what changed and why it might matter.

I originally built it because I was manually checking competitor pricing pages and changelogs. I also wanted something practical for smaller SaaS teams. A lot of existing tools are either enterprise-priced or the free tiers are too limited to be useful.

Still early and trying to learn what people actually want from this kind of tool.

[1] https://adversa.io

I would have loved this when I worked in commercial real estate. Monitoring competition may have hooked me but I think there's another layer to monitoring clients.

I have been suggested speaking to real estate businesses to see how useful it would be.

A friend of mine used to work for a real estate company and said his company and their competitors were always at loggerheads and complaining about each other breaking rules etc. this would have stoked the fire a little!

Got mad at a electronics shop chain contradictory requirements, when preparing a product description html for my company's product. Built a very simple HTML linter.

As of now You can specify those validators on a tags of your choice:

- Run a regex against a attribute's value/text node

- Min/max length a attribute

- Make a attribute required/blacklist it

- Make a whitelist/blacklist of allowed values for a attribute

https://github.com/worldwidepaniel/ruley-linter

Managed BYOK stateless agent orchestrator called BeeZee: https://beezyai.net/. Basically Claude Cowork / a coding agent on the web but provider agnostic, you own the data and you can connect several nodes to it. Instead of installing an agent for all your machines you have one master agentic server and executor nodes. The server is stateless the data lives on the nodes and in a managed database. I use Supabase and Google KMS so my auth keys are encrypted. Uses Pi agent under the hood. This enables me to code from my phone without a dedicated SSH terminal and without the need to babysit the agent. I describe the feature, off it goes, I close my phone and in 10 mins the results are there. Also using it to support my wife with white collar stuff like Excel analysis, translation, etc. It's a bit buggy but getting better.

Adding new openly licensed learning resources to the Kolibri offline learning platform. It is designed to be deployed in communities that lack consistent access to the public internet. They currently have a significant amount of English language content, but are limited in what they have available in the dozens of other languages they have translated the core software into. I'm trying to bring in new resources and then try to lead an effort to do translations of the best materials I can find to make the platform more useful to more people.

https://community.learningequality.org/t/bringing-new-comput...

Also trying to recruit people to teach tech newbies how to build their own handheld video game consoles. Let me know if you might like to run a class where you live and i'll share my class materials.

https://community.arduboy.com/t/looking-for-instructors-to-t...

https://monohub.dev — a new EU-based (hosted and developed) GitHub alternative. Currently, it has a file browser and a PR review tool. Started off as a personal tool, but grew enough to consider offering as a service.

I posted about it recently on HN (https://news.ycombinator.com/item?id=47199062):

It is at a fairly early stage of development, so it's quite rough around the edges. It is developed and hosted in EU.

I have started developing it as a slim wrapper around Git to serve my own code, but it grew to such extent that I decided to give it a try and offer it as a service. It doesn't have much at the moment, but it already has basic pull requests. Accessibility is high priority.

It will be a paid service, (free for contributors) but since it's an early start, an "early adopter discount" is applied – 6 months for free. No card details required.

I would be happy if you give it a try and let me know what do you think, and perhaps share what you lack in existing solutions that you would like to see implemented here.

I've been working on two small projects recently.

1. Live Kaiwa — real-time Japanese conversation support

I live in a rural farming neighborhood in Japan. Day-to-day Japanese is fine for me, but neighborhood meetings were a completely different level. Fast speech, local dialect, references to people and events from decades ago. I'd leave feeling like I understood maybe 5% of what happened.

So I built a tool for myself to help follow those conversations.

Live Kaiwa transcribes Japanese speech in real time and gives English translations, summaries, and suggested responses while the conversation is happening.

Some technical details:

* Browser microphone streams audio via WebRTC to a server with Kotoba Whisper * Multi-pass transcription: quick first pass, then higher-accuracy re-transcription that replaces earlier text * Each batch of transcript is sent to an LLM that generates translations, summary bullets, and response suggestions * Everything is streamed back to the UI live * Session data stays entirely in the browser — nothing stored server-side

https://livekaiwa.com

---

2. Cooperation Cube — a board game that rotates the playing field

Years ago I built a physical board game where players place sticks into a wooden cube to complete patterns on the faces.

The twist: the cube rotates 90° every round, so patterns you're building suddenly become part of someone else's board. It creates a mix of strategy, memory, and semi-cooperative play.

I recently built a digital version.

Game mechanics:

* 4 players drafting cards and placing colored sticks on cube faces * The cube rotates every 4 actions * Players must remember what exists on other faces * Cooperation cards allow two players to coordinate for shared bonuses * Game ends when someone runs out of short sticks

https://cooperationcube.com

---

Both projects mostly started as things I wanted to exist for myself. Curious what people think.

Oh that Live Kaiwa looks interesting, I might try it out this weekend with my wife and son (native Japanese). Anything to help my admittedly horrible Japanese

Shoot me an email (diasks2 at gmail.com) and I’ll whitelist your email for some free usage credits. Would love to get feedback.

I'm working on an IoT networked, time sync'd "Smart Dealer Poker Button" - replacing the plastic thing that gets passed around from the current dealer to the next dealer with a IoT display that informs players what level the blinds are etc etc.

Provisional patents went in recently so don't mind broadcasting to a wider audience beyond my poor, unknowing, testers

You can see it working here: https://www.youtube.com/watch?v=G5Xup3kB1D0 and I literally put up a holding page for some media related surges (as it's all self hosted etc and I didn't want to mix my functional stuff with my spikey stuff) here ( name to be worked on, but "NUTS" is the current one) : https://buttonsqueeze.com

I'm building a small CAD tool for makers called dēlo.

I started it because I wanted a CAD I would actually enjoy using myself. The idea is a simpler, assembly-first workflow instead of a full engineering CAD.

It’s still very early and rough, but I recently got the first real loop working: model → export STL/STEP → slicer → 3D print.

The goal is something between Tinkercad and the big CAD tools - simple, local-first, and not locked behind subscriptions or cloud accounts.

I'm most excited about reducing friction for digital payments of APIs and resources in the agentic commerce world.

I think the first step is standardizing HTTP 402 using traditional, familiar payment rails like Stripe, then we can move to things like on-chain or other rails later.

I am building https://stripe402.com to try to make it dead simple for those building APIs/resources to get paid per request through stripe without user's needing to sign up for accounts, get API keys, any of that normal painful workflow required today.

Check it out and feedback welcome!

https://llmpm.co

I have built npm for LLM models, which lets you install & run 10,000+ open sourced large language models within seconds. The idea is to make models installable like packages in your code:

llmpm install llama3

llmpm run llama3

You can also package large language models together with your code so projects can reproduce the same setup easily.

Github: https://github.com/llmpm/llmpm-dev

Also, is there is way I can invoke the models or is there an API which your tool exposes?

Yes indeed there is, run `llmpm serve <model_name>`, which will expose an API endpoint http://localhost:8080/v1/chat/completions & also host a chat UI where you can interact with the local running model https://localhost:8080/chat.

Follow the docs here: https://www.llmpm.co/docs

Pro tip for your use case: Checkout the `llmpm serve` section

Looks crazy! Thanks for building it, there is indeed a need for a npm or pip like package manager for AI Models.

Yeah :)! Just run `llmpm init` to start packaging your models along with your code.

I'm working on a WhatsApp AI bot for my group chats, specifically for my friends' soccer group chat where we organize our Wednesday matches. We have a bunch of "problems" that I think are ripe for bot automation. WhatsApp is what all of us hispanic people use and it's particularly interesting because Meta doesn't really provide you with much tooling to build bots, unlike Telegram. I started this weekend and went all in on cursor. I also streamed the whole process, so yeah, apparently I'm also a streamer now. Check them out at https://www.youtube.com/@alexon_v1/streams.

i'm working on my startup, krnel.ai!

i don't have much free time, but it's important to me to have healthy side projects, so here's what i'm working on:

- rsyncthing: A command-line CLI that lets users quickly bootstrap Syncthing fileshares to new hosts over SSH. No more "introduce devices to each other" song-and-dance.

- stringlines: i'm working on a small app for my own personal use that will help me plan transit in the NYC area better. A lot of map apps (Apple, Google, Transit, Citymapper) don't show recently-departed trips, making them much less useful for judging the feasibility of tight connections on the NJTransit rail lines. So I'm building out some infrastructure to record the GTFS-RT feeds and display them in a mobile-friendly format.

- slowly playing through all 70 the quake brutalist jam III maps to learn more about level design.

Most of these side projects are claude-free for now, mostly because I want to build domain expertise for myself before involving the agent tooling.

I’m building a decentralized Drone-as-a-Service (DaaS) orchestration layer that treats aerial robotics as a simple API endpoint.

The system allows users to submit a JSON payload containing geocoordinates and mission requirements (e.g., capture_type: "4K_video" | "IR_photo"), the backend then handles the fleet logistics, selecting the optimal VTOL units from distributed sub-stations based on battery state-of-charge and proximity.

Been experimenting with AI -> MCP driven drone orchestration/flight would love to learn more about what your building and compare. Thoughts?

Does anything similar like this already exist? Ie how do drone shows get planned today?

I'm building a personal habit tracker, solely for my own use. It is intended to be pretty basic - just a html file, with data saved by vanilla JS in browser's local storage. Currently about 50% of the work is done by AI (Cursor).

After adding a couple of extra features and having a "finished" tracker, I will try re-implementing this tracker in React, Svelte, Vue, Preact and some others.

My goal for this project is twofold: to get familiar with these frameworks and to practice using AI as a personal tutor (leading my way and answering my questions).

I've tried learning React, Laravel, etc before, but I've used them to build a fresh project from scratch and I've always got stuck early on due to the lack of knowledge/understanding.

I hope that re-implementing something that I already know and understand fairly well would make my learning process much more effective.

My pet projects

* Self-contained Customer support portal (in a quirky neobrutalist UI) https://github.com/sscarduzio/intreu-portal

* 0-copy single binary Rust binary-delta optimized S3 proxy with a GUI https://github.com/beshu-tech/deltaglider_proxy

Ordr — AI task manager for people with too much to do and too much in their head: https://useordr.app

Most productivity apps make you do the organizing — projects, tags, priorities, fields. That's fine when you're calm. It's impossible when you're overwhelmed.

I'm building for the moment when your brain is full and you just need to dump everything out. You throw in voice, text, images, links — Ordr calls an LLM to parse intent, extract tasks vs. events, assign order, and surface one clear next action. No tagging, no sorting, no deciding. Just: here's what to do next.

Built with Flutter + Supabase + Groq/Cerebras. Still early.

Curious if anyone here has hit this wall — tried every app, built their own system, still feels broken. What did you actually need that nothing gave you?

Building a new kind of news site, featuring updates from primary sources.

We're constantly pulling info from official sources, and using AI to group and summarize into stories, and continue to share reporting from trusted, vetted journalists.

The result is news with the speed and breadth of getting updates straight from the source, and the perspective and context that reporting provides.

Still ramping up, but I'd love to hear feedback:

https://www.forth.news

Need is valid. The site is showing mostly flood watch warnings - maybe cluster topics? Also don’t mess with the scroll bar - maybe the ads are doing it, but it froze and wouldn’t move down for a while.

Thank you -- yes, the non-signed in front page needs some work. There's a lot of flood warnings, but if you choose topics with an account it should be a better experience.

And thank you for flagging the scroll thing. I hadn't seen it, but will check.

Didnt quite get this - if the only value prop is getting updates straight from the source (trusted/vetted journalists), what use is AI here, except for summaries perhaps?

AI isn't really the draw, it's more of a tool that helps on the backend.

That said, it's both combining various updates into a cohesive timeline of a story, writing the summaries, and assigning it an urgency level which helps in sorting and some other tasks.

Looks good so far. The AI summary button is nice but hard to distinguish from the background.

V cool, this is a perfect llm use case

thank you -- great to hear!

Duralade - a programming language for durable execution (but has many neat aspects)

Most of the work as of today is in a branch, can see the language spec at https://github.com/cretz/duralade/blob/initial-runtime/docs/..., and some samples at https://github.com/cretz/duralade/tree/initial-runtime/sampl....

May not amount to anything, but the ideas/concepts of this durable language are quite nice.

I'm curious what advantages this has over adding durability to an existing language, like DBOS does:

https://github.com/dbos-inc/dbos-demo-apps/blob/main/python/...

Modern languages are not safe enough nor are they very amenable to versioning, serialization, resumption, etc. It makes sense for modern durable execution engines to meet developers where they are (I wrote multiple of the SDKs at Temporal, including the Python one, this is just a fun toy side project), but a purpose-built language that has serialization, patching, wait conditions, kwargs everywhere, externalizing side effects, etc, etc, etc is a big win vs something like Python.

Admittedly the lang spec doesn't do a great job at the justification side, but the engine spec adjacent to it at https://github.com/cretz/duralade/blob/initial-runtime/docs/... that has sections showing CLI/API commands can help make it clearer where this runtime is unique.

Fascinating, thanks for the info!

Building grith — OS-level syscall interception for AI coding agents.

The problem: every agent (Cline, Aider, Codex, Claude Code) has unrestricted access to your filesystem, shell, and network. When they process untrusted content — a cloned repo, a dependency README — they’re prompt injection vectors with full machine access. No existing tool evaluates what the agent actually does at the syscall level.

grith wraps any CLI agent without modification. OS-level interception captures every file open, network call, and process spawn, then runs it through 17 independent security filters in parallel across three phases (~15ms total). Composite score routes each call: auto-allow, auto-deny, or queue for async review. Most will auto approve - which eliminates approval fatigue.

Also does per-session cost tracking and audit trails as a side effect of intercepting everything.

https://grith.ai

Each syscall taking 15ms on top of the normal considered costly time taken for context switching to the kernel seems excessivly slow, no?

It’s fast in terms of a response from a LLM model - but it is part of the system I am quite active on at the moment to ensure it’s performant as possible

I'm building a microreading service that let's me get long books read with small chunks of time that I have - https://lauselt.ee Currently I've added some public domain Estonian books in there and tbh I do get a lot more reading done during the day. Basically you can use your 1-5 min breaks (waiting for a bus, during the commercials, waiting for food etc) to open the book quickly where you left off and read by scrolling small chunks of texts at a time. Duolingo style streak to create the habit of reading every day. Also the ability to upload your own book and it will automatically be split into these small chunks.

I made my own AI personal assistant:

https://github.com/skorokithakis/stavrobot

It's like OpenClaw but actually secure, without access to secrets, with scoped plugin permissions, isolation, etc. I love it, it's been extremely helpful, and pairs really well with a little hardware voice note device I made:

https://www.stavros.io/posts/i-made-a-voice-note-taker/

I got a few ideas which will probably never get done at this point

1 - actual css static analysis -- consume html + css, and provide tooling to preview what properties are inherited given the context you're in -- what you're overwriting, what display mode you're in. If there's inconsistent display modes depending on where in the html you are.

2 - a reactive html scripting language which using html as the source of truth, and synchronizes html elements through their relationships to each other

i only have prototypes, and unfortunately given the climate i feel i am the only person who wants these tools.. but every few weeks i get to sit down and get some progress and that's nice

Still working on https://kavla.dev

I have worked with data for a while. I feel like our tools could be much better when it comes to "flow". I want an experience where you don't need to alt+tab to slack/images/another query. What if we put it all on a canvas? That's what Kavla is all about!

Since last month I've done a lot of improvements to the editor to make the "flow" better.

I've also read up on HMAC, Nonces and fun encryption stuff to create read only boards.

Here's one where I look at stack overflow survey for databases: https://app.kavla.dev/v/mqhg54o319doya4.67dbfee1ccd6caf638d3...

Snowflake users apparently make the most money!

Been working on a solution to my meeting fatigue. I sit in way too many of them where I'm only there "just in case someone has a question" and realized I needed a way to safely not care about my meetings.

The idea is: you join a meeting, hit start on the app, minimize, and go do actual work (or go make a coffee). When someone says your name or any keyword(s) you set, you get a native macOS notification with enough context to jump back in without looking lost. It uses whisper and is 100% local and doesnt leave traces, also very OE friendly.

https://pingmebud.com

Would love to hear what you think, especially if you're drowning in meetings too.

How is this different than @‘ing someone in the chat apps we all already use, and that you’ll actually be responding to the ping in?

pingmebud is the equivalent to having @-mentions but in voice calls. Imagine a standup meeting at work where someone says "what do you think about this, John?" and you were not paying attention and have no idea about what the context of the conversation is. My app solves that.

But then you weren't paying attention.

You context switch back and take 2 minutes (at best... much longer than if you were in the actual conversation paying attention) to answer. Now everyone else in the realtime conversation is waiting on your answer because you were expected to be in the conversation as well. That doesn't seem like good UX to me.

I'm building AthenaOS: https://athena-os.ai/

Basically OpenClaw but with investing dashboards for my portfolio, additional tools specifically for investing, and exploring an AI-Human collaboration on researching economics (check the 'community' tab).

The data models are all in markdown and Excel so that there's no lockin and you can manually edit positions, personalities, etc.

This comes from frustration around most investing tools basically scraping your personal data + forcing you to lock into subscriptions. I think it's now possible to just vibe code most of what one needs, aside form raw data subscriptions.

It's all open source, too: https://github.com/wgryc/athena-os

Still working on

- https://github.com/rumca-js/Internet-Places-Database - database of domains and youtube channels

- https://github.com/rumca-js/crawler-buddy - web crawling / web scraping tool

- https://github.com/rumca-js/webtoolkit - web crawling toolki

- https://github.com/rumca-js/Internet-feeds - feeds databse

- https://github.com/rumca-js/Django-link-archive - RSS reader

I am building ReifyDB(reifydb.com), a database for live application state.

A lot of existing databases are storage first, with everything else built around them. I have been exploring what it looks like if the database is closer to the application runtime itself, where state is live, queryable, and easier to reason about directly.

One thing I am prototyping right now is database-native tests.

Basically: what if integration tests were a database primitive?

CREATE TEST test::insert { INSERT test::users [{ id: 99, name: "Ghost" }]; FROM test::users | FILTER id == 99 | ASSERT { name == "Ghost" }; };

So not a wrapper, not a framework, not an external test runner.

A real test object inside the database.

The idea is that you could run these before schema changes, and make stored procedures or other database logic much easier to test without leaving the database model.

Still early, but it feels like one of those things that should just exist, especially for databases built around live application state.

The "OpenCooler" A silent, drop-in water cooling unit for labs, temp controlled mattress covers, pet coolers, whatever. The current market stuff is too expensive and it looked like a good learning project <https://hackaday.io/project/205182-opencooler>

Building a PCB milling software tool that combines converting Gerbers to toolpaths in G-Code and then actually commanding and operating a restored PCB mill from 1998.

Bringing back the hobbyist self-made PCB workflow since it can be a headache to get designs back from PCBWay / JLC between customers, tariffs, shipping..get more quick to close the prototyping loop.

Here's a YouTube playlist of how to make PCBs at home for anyone who wants a deep dive. https://www.youtube.com/watch?v=Hm_JrACrmVs&list=PLWDQgxl-jH...

A while back I created a fool called gbr2ngc which converts gerbers to gcode [0]. It has some problems but is overall functional.

[0] https://github.com/abetusk/gbr2ngc

Notello - local-first notes & tasks app for individuals / small teams.

We got tired of bouncing between a note-taking app and a task tracker. Notion combines them but it's slow and its offline capabilities are limited. Linear is fast but tasks-only. Obsidian is local-first and e2ee but single-player. So we're building Notello - notes and tasks in one deeply nestable tree, real-time multiplayer, works offline, e2e encrypted.

Reads/writes hit local SQLite first, sync happens in the background. That way everything is instant, you don't notice the network except in some very special use cases. Runs on web and desktop with shared core logic.

We're building it for powerusers like us who want IDE-like navigation, block editor, control over their data, granular sharing down to individual entries and more. Your work workspace and personal workspace live side by side, no switching workplaces.

Old website that needs refreshing (we failed to build it beyond an MVP a decade ago but armed with more experience, we're giving it our best this time): https://notello.com . Launching within the next few months!

https://github.com/AzimovParviz/openblaster/tree/qt6

I wrote a CLI utility last year to control my SoundBlasterx G6 DAC (can only control LED colour and EQ bands) without needing to use Creative's windows only program (I am mostly a Mac + occasional Linux) user.

Recently downloaded Qwen3-coder-next 80b model and been vibing with it to introduce Qt6 and write a dead simple (aka ugly) crossplatform GUI to it so that other people can use it on their Macs and Linux machines. Letting a LLM wreak havoc on your project feels bad, I constantly have to reign it in and rollback the repo once it starts looping due to writing something that doesn't compile, making it going back and forth between doing and undoing changes.

I'm working on a Nix-based task runner - like `just` or `mise-en-place`, but defined using a Nix flake and run using a Go CLI.

https://github.com/RedbackThomson/nix-tasks

I started this project because at my company, we're still relying on ancient Makefiles as our build system and build tool versioning. I initially looked at using other task runners but they all use some sort of DSL that I think limits their functionality and/or doesn't allow for sharing and extending templates across repos. Nix-tasks lets you use Nix flakes to share common configuration - like your company-wide build scripts - and then import it and add repo specific tasks on top of them.

The project is still very much in alpha but I am using it every day and trying to find any annoyances or bugs before I share it further.

I just released an update to a command line utility that inspects PATH environment variable. It's in Python, switched to uv from poetry, added new color scheme with rich and made some change to the logic how symlinks are processed.

https://github.com/epogrebnyak/justpath

Also wrote a small clone in Rust, just to try the language: https://github.com/epogrebnyak/justpath.rs

So far Python is easier for me, but I transferred some code organisation ideas from Rust to Python.

Extra benefit of Rust is that you can get a runnable binary, in Python, well there is a lot you are installing even for a simple utility.

Someone made a PR on brew installer for the Python utility, but it seems fully claude code and I'm not sure it is the best way to package brew.

A not-yet-released iOS mental health app

A free tower defense game - https://vectordefensegame.com/game

A free Xpilot-adjacent game - https://vectordefensegame.com/yeetpilot/lobby

I finally decided to try and make a note taking tool I've been wanting to use. https://chrononotes.com/

As many here, I've found that a single text file is all that I really need, but found that it makes it difficult to keep track of a variety of things. I was also trying to use the file as a simple project tracker, adding some tags like [BUG-N], and updating them by hand. Eventually, it became difficult to track the progress of things, since I had to jump around the file to look for updates.. or use grep.

I condensed the idea to just that - a very simple tool which manages "trackers", and has a simple filtering built in to "trace" the updates. I've been using it, since I've added the BE, and dogfooding it a bunch. Would love for fellow note takers to take a look. It's not perfect, but I'm keeping it around for myself :)

This looks great if combined with versioning system. As part of git repor for example. But, for general journaling, I would not trust something that does not leverage the strengths of a filesystem.

Thanks for taking a look! There is Markdown import/export from the server, to make sure no one is locked in into the app. I find this more convenient than editing a file though, because it lets me jot down notes on the go from my phone.

I wanted to learn more about computer graphics, so I'm writing a 3D software renderer in C. So far I have a solid implementation of triangle rasterization, perspective projection, depth buffer, clipping, texture mapping, diffuse lighting, and gamma correction. Currently struggling with shadow mapping, which is the last feature I'll add to the renderer before moving on to procedural generation of meshes and textures.

Once I'm done with this project I'm planning on making a series of YouTube videos going into the code and the algorithms.

I got this itch too when I came across tinyrenderer [1] and worked through the early lessons through shading, but didn't quite finish the texture mapping yet [2]. It was fun to work in pure C from first principles, even side-questing to write a simple TGA file reader and writer.

I'd be very interested to see your tutorial when it's done!

[1] https://haqr.eu/tinyrenderer

[2] https://github.com/tkocmathla/tinyrenderer

tinyrenderer looks impressive! The tutorials look good too. I might have to borrow some ideas from them.

No idea when I'll get around to making the videos, but if you want to follow my channel it's at https://www.youtube.com/@fast_erik

https://hidefile.app

Locally running fully working steganography in the browser.

Create and insert entire files into pngs, mp4, pdfs and jpgs. The site is a static website that loads a wasm bin that does everything in browser with wasm. So no login, or network calls.

Essentially impregnate images and videos that open normally in your browser, but have a full file system with a full gallery mode for images, pdfs and images inside. videos do seek and stream so even if you embed a 4GB video file, it opens quite fast and just works.

Trying to solve for tracking decisions, rather than issues, so that me & my coding AI buddy stay aligned with what I've decided previously:

https://github.com/teekay/dictum

Currently dogfooding and evaluating whether it helps in the long term or not.

I'm building this: https://teeming.ai/jobs. It aggregates jobs in AI startups enriched with investor-grade info. Can be navigated with a chat agent, filters, and has automatic CV/Linkedin matching.

Nothing revolutionary, but there is a small organisation called The Himalayan Database [1] who have recorded (in great detail) climbing expeditions to peaks in the area. The data is available in a downloadable format, but it is a little awkward to browse. I have been working in collaboration with them to build a website for making the database more accessible https://himalayan-database.climbing-history.org/

[1] https://www.himalayandatabase.com/

I already posted in this thread, but then I remembered a few months ago I had posted about my ISP + web host project. [1]

Since then, I configured all the hardware (switches, router, server, bastion host, etc), put it in a real colo, and am doing BGP with one upstream (with a second upstream and some peers on the way). This means I'm officially part of the internet! E.g. https://bgp.tools/as/55078

I'm just working on some BGP and network hardening stuff, then I'll start putting real live services on the server. And in parallel, I'm working on getting the link from my home to the colo active, so I can be my own home internet provider.

[1] https://news.ycombinator.com/item?id=45870010

How did you receive your ipv4 /24 subnet?

My /24 came from ARIN's NRPM 4.10 block [1]. Basically, you can get a /24 if you'll use it to help IPv6 adoption, which is what I'm doing: my web hosting service will offer shared IPv4 and dedicated IPv6 (like Fly.io does), and same for the ISP - CGNAT for the IPv4, dedicated IPv6 subnets.

[1] https://www.arin.net/participate/policy/nrpm/#4-10-dedicated...

Working on...

- Tablex (https://www.tablex.pro) - seat arrangement app for weddings, seminars, conferences.

- Kardy (https://www.kardy.app) - group card app I've always wanted to build.

- Jello (https://www.jello.app) - Create games with your own photos and sound effects!

I played with Jello a bit. This might be fun for a family get-together. Bookmark'd.

A "universal" format validator whose goal is to validate every byte of as many of the most common file formats as possible (I'm up to about 190, to varying degrees of coverage; turns out many formats don't have checksums, and some formats' parsing won't break on corrupt data)

https://github.com/pmarreck/validate

Written in Zig, it has a C FFI and a CLI for mac/windows/linux.

The purpose of this is to feed into a different project I'm working on that is for-pay.

Side project - plan mode and code review annotations for coding agents (ui that integrates via hooks): https://github.com/backnotprop/plannotator

Main gig: Trusted agents. We just shipped hardware based signing to web bot auth protocol.

I'm working on a simple, single person, self-hostable scheduling app [1] (think Calendly or Cal.com) to replace my self-hosted Cal.com instance, as it's way overkill for my needs and annoying to maintain.

I'm also using this as an experiment to see how to use AI tools to build a maintainable project of medium complexity. Too big to do in "one shot", but doable if decomposed into a few dozen tasks.

It's going well! I think I only started Saturday morning and put in maybe 4-5 hours on it, and it's in pretty decent shape. Not ready for prime time yet, but only a few hours away from replacing Cal.com for my own use. The slowest part is that I'm manually reviewing the code, but that's part of the deal for this experiment.

[1] https://git.sr.ht/~bsprague/schedyou

I am continuing with my proofreading and language learning efforts and have been working on tooling for it.

= Proofreading =

https://github.com/adhyeta-org-in/adhyeta-tools

provides image extraction from PDF, OCR as well as a basic but nice proofreading web-ui.

Qwen 3/3.5 is good enough for OCR on books in Indic scripts. So that is what I am using. But you can configure the model that you want to use.

I may add a tesseract back end as well if necessary.

= Language Learning =

I have tried a few parallel text readers and was not satisfied by any of them. My website (https://www.adhyeta.org.in/) had a simple baked-in interface that I deleted soon after I developed it. However, this weekend, I sat down with Claude and designed one to my liking. I also ported the theming and other goodies from the website to this local reader. This will serve as a test bed for the Reader on the website itself.

LLMs now produce wonderful translations for most works. You can take an old Bengali book, have Claude/Gemini OCR a few pages and then also have it translate the content to English/Sanskrit. Then load it into the Reader and you are good to go!

The Reader, I will release this month. Claude is nice, but I do not like the way it writes code. It often misses edge cases and even some basic things and I have to remind it to do that. So I want to refactor/rearrange some stuff and test the functionality end-to end before I put it online.

An agent that records Loom-style videos for support, sales, etc

https://rundown.video

Two choropleth map projects I've wanted to make for a while:

https://housepricedashboard.co.uk - shows a visualisation of house prices in England and Wales since the 90s, with filters for house types, real vs nominal, and change views over time

https://councilatlas.co.uk - similar structure to the above, but focusing on local council datasets. The idea is to make it easier to compare your local council's performance against the rest of the country.

I'm currently marketing https://geomapping.qcw.ai

What it does: every location in your article/blog becomes clickable/hoverable and spawns an interactive pop-up map, with zero manual work on the author.

You add it to your articles with a single <script> tag.

Our value proposition is: higher engagement and on-page time, fewer readers wander off to look up places and never come back.

As to the nitty-gritty: place names are disambiguated using wiki and we match coordinates from google places; LLMs are used in multiple spots. The js code is lightweight and framework-free.

Our current target population are bloggers of any extraction, plus we've started exploring the professional publishing world - reach out if interested!

I wrote this Telegram bot that translates any video with AI-generated subtitles in about 2 minutes. You paste a YouTube, TikTok, or Instagram link, pick your language, and get back the video with burned-in subtitles.

It started because my wife watches Chinese dramas and new episodes never have subtitles for our language. Turns out thousands of people have the same problem — Arabic speakers watching anime, Russian speakers following Turkish series, Persian speakers catching up on K-dramas.

Supports 40+ languages, works with any video link or direct file upload. There's also a Mini App inside Telegram for a more visual experience.

https://t.me/subly1bot & https://subly.xyz

Hey this looks cool but wanted to highlight a bug. I opened the bot, tapped on sample video and I got the “translating a sample Turkish drama…” message twice. Then it said “your first translation is ready” so I press view in the app and the recent list shows the duplication. It says the first one is ready but the second was in progress. I close the app and see a “our whale friend is gathering video” with a progress bar. So I guess it’s not ready? Then I get a failure message which looks like the second video failed? Anyway, cool idea but it seems buggy and I think the app UX could be simplified, good luck!

Thanks for your report, I will try to fix it asap :D Please open the mini app inside the bot, it has much better UI.

This looks cool, but what I'd really like is a self-hosted version that I could use to auto-subtitle videos I already have locally. This would help my language learning a great deal.

If any of you have already figured out a tool/workflow for this, I'd love to learn from your experience.

This thread prompted me to look into this. It seems that all I need is a thin wrapper around whisper-ctranslate2. So I wrote one and am playing with it right now.

I'm finding language auto-detection to be a bit wonky (for example, it repeatedly identified Ladykracher audio as English instead of German). I ended up having to force a language instead. The only show in my library where this approach doesn't work is Parlement[1], but I can live with that.

On the whole this is looking quite promising. Thanks for the idea.

[1] https://en.wikipedia.org/wiki/Parlement_(TV_series)

Crew Chief (https://crewchief.cc) — a Vehicle diagnostic and management tool. Plug in your OBD2 codes (or just describe symptoms) and get a structured diagnosis in under 30 seconds: ranked probable causes, DIY vs. shop cost estimates, severity rating, and matched parts/repair videos.

I have too many project cars and bikes, I wanted one place to store vin numbers for searching parts, and then just kept adding useful features.

Supports 16 vehicle types (cars, trucks, motorcycles, boats, tractors, ATVs, RVs, etc.), not just cars. Also includes maintenance tracking, a browser extension that auto-fills your vehicle info on parts sites like RockAuto and AutoZone, a community-vouched trusted shops map, and a vehicle selling wizard with state-specific bill of sale generation.

Free tier gives you 1 vehicle with a full diagnostic.

I’m working on VineWall (https://vinewallapp.com), a network tunnel that helps you fight doomscrolling by making your internet slower when it detects you spent too much time scrolling.

At this moment I’m working on improving the logic that decides when/how much to throttle the network.

Been working on https://localhero.ai, its my service to automate on-brand translations for product teams. I've been doing outreach to Swedish companies/people, getting some good interest from a few that want to automate their localization workflow but don't want the work of maintaining own solutions. Even though you can build a version working with coding agents these days, there is a lot of stuff around it to make it work well over time in a product org. On the tech side for Localhero, one thing I've been working on how it learns from manual edits. Like when a PM or designer tweaks copy in the Localhero UI, those things now better feed back into a translation memory and influence future translations. It's like a self-learning loop, turns out a pretty nice combo of using old-school techniques and offloading some work to LLMs.

Also been spending some time on my old side project https://infrabase.ai, an directory of AI infra related tools. Redesigned the landscape page (https://infrabase.ai/landscape), going through product submissions and content, optimizing a bit for seo/geo.

The ProxyBox Zero (https://pbxz.io) - a zero-config hardware solution for connecting your modern web apps to your printers, usb devices, legacy hardware. Provides local and public internet access - print to your local printers from anywhere.

Proving the infamous FTP guy from the original Dropbox HN thread right: you can now access your Dropbox over FTPS, SFTP, S3, or MCP. And not just Dropbox, it works with every storage backend out there: https://github.com/mickael-kerjean/filestash

Two things I've been building this year, both trying to solve real problems I care about:

https://talonwatch.com : I kept seeing founders discover their Stripe keys were public or their database was wide open, usually after the damage was done. Built a passive security scanner for vibe-coded apps so that's easier to catch early. Free surface scan, no account needed.

https://thetracejournal.com : A small iOS journal that pairs a song with each entry. Music is tied to memory in a way nothing else is, and I wanted a place to capture that.

I was using Wisper Flow and had a pretty bad experience with their support related to billing and so I started building my own version of a speech to text app, it's very doable with Parakeet and Whisper models available now. I've got the app working on mac and it's been so much easier to make progress on it with AI available now.

I'm not sure I'll be putting it out there because it feels like there's already 100s of these apps out there so I don't feel strongly about it.

https://telephone.health, which shows how well LLMs can take narrative medical text, convert it to a structured form (FHIR R4, for application consumption), and then convert it back to narrative text for human consumption.

Interesting findings include Mistral doing better than Gemini 3 Pro in certain usescases, cross-LLM works better than one LLM to another, oh and - the cost all of of this. So, so expensive.

Working on https://github.com/codeadict/gen_http a low level HTTP client library for Erlang that full featured clients can build on top of. Erlang's default HTTP client httpc is great but has a lot of process overhead, consumes memory and doesn't support HTTP2. This is heavily inspired by Mint in Elixir

Hoopi Pedal: A 2-channel digital effects + recording pedal, based on the Daisy Seed and the ESP32 [1]. PCB design, embedded firmware, DSP and Flutter app - all are mine. Some technical notes on firmware (OTA updates, etc.) and Flutter app dev (using native methods for vidoe-audio sync, auto cross-correlation, etc.) are published on my blog [2].

[1] https://www.crowdsupply.com/scope-creep-labs/hoopi-pedal [2] https://scopecreeplabs.com/blog/?tag=hoopi

https://symgraph.ai/ - AI-Powered Reverse Engineering Inside Your Disassembler

Open-source plugins for Ghidra, Binary Ninja, and IDA Pro that bring LLM reasoning, autonomous agents, and semantic knowledge graphs directly into your analysis workflow.

Coming soon: A supporting online service. The VirusTotal for reverse engineering. A cloud-native symbol store and knowledge graph service designed for the reverse engineering community.

- Submit files for automated reverse engineering and analysis

- Query shared symbols, types, and semantic knowledge

- Accelerate analysis with community-contributed intelligence

- Versioned, deduplicated symbols with multi-contributor collaboration

really good idea. I'm curious to know about your datasets that you used for an RE AI.

While the plugins do support the creation of RLHF datasets for model finetuning, the plugins themselves don't currently use a custom-trained model. They support all major LLM providers (including local). I've found that with the right prompts, the frontier models are shockingly effective. And they are progressing much faster than any custom training effort I could shoestring together. As the models improve, the plugins improve.

I'm working most of my time on nao [1] (an open-source analytics agent).

With nao we are exploring the fact that agents are good to work with filesystems, so we help people getting the context into the filesystem and then you can plug our agent loop on top (on anything else).

The most exciting part is working with sandboxes and emulating filesystems. So at the moment the filesystem is local, but it could be a bucket or a database that we emulate as real filesystem for the agentic loop, all of this can also be mounted to sandboxes, and in the end you can do data transformations all in isolation with control on the context.

[1] https://github.com/getnao/nao

Since about two years I'm working on a new systems programming language [1] that is supposed to be nearly as fast as C, memory safe, and as concise and easy to learn as Python. Right now I'm trying to integrate Perceus, the ref-count optimization of Keka.

[1] https://github.com/thomasmueller/bau-lang

Went straight to what matters to me: data structures, or how they are defined ("Show me your tables"). And couldn't find any mention of anything beyond arrays and enums. Should one conclude that there are no typed unions, no structs, no objects?

Objects and structs are described in "Types" [1]. There are no typed unions currently (maybe I'll add them, not sure yet), but there are "Traits" [2].

[1] https://github.com/thomasmueller/bau-lang#types [2] https://github.com/thomasmueller/bau-lang#traits

While building some software tools for my bass guitar I wanted to create some kind of video series or whatever to share it with others.

I have been using online courses and youtube forever and they all have converged on a similar format. Basically, adapt a textbook to slides and add voiceover. Sometimes they'll be animated. Not for everyone but I like it for passive learning.

Being a web developer I always thought video was a strange way to deliver this information - you can't even copy the text! Videos are also hard to make and heavy on bandwidth. So after iterating on different approaches to this over the last few years, I finally started on a new iteration called useful.

Currently on rev1, so early days: https://github.com/ohmstone/useful/tree/rev-1

There are a few more things I want to add to it but I want to get back to what I was doing (the bass guitar stuff). So I will make few of these website-as-video courses based on my projects to try and prove the concept.

Some of the nerdier features useful has:

- Uses state of the art CPU-based TTS with voice cloning, realistic enough to not be distracting

- Very simple markup language to create the visuals

- Extensible slide content with simple plugin system

- Full website export with complete SEO/social metadata

- Export is a PWA, so it caches nicely and can work offline

- Self-hostable

- Export is optimized for low bandwidth, so it loads way faster than a video and uses <1/10th of the data when served with brotli

- Minimal dependencies

Beyond my own use-case I figured it might be useful for others creating courses. One stretch-goal would be for people to turn what they are learning via LLMs into low-bandwidth courses like this so we don't have people burning energy asking the same questions and watching the same 4K videos.

Trying to solve my own problem of drowning in meetings and scattered tools, turning things into actionable items.

It sits on top of what I already use and gives me a unified "What do I need to do (now/today)?" view.

Trying to auto-capture action items from meeting transcriptions and other inbound, and routing quick thoughts to the right tool with a couple of keystrokes, helping me prioritise my day so I'm not spending energy on too much organising (or through lack of organising getting distracted).

I wanted something that watched my inputs and keep my GTD loop running, especially when back-to-back meetings and context-switching make it really hard (or impossible) to stay on top of things I need to do!

Might also augment it with LLM for some support of task breakdown, but only as human-in-loop assistance.

Not thinking this could ever turn into a product since it's so custom.

I built a suite of cli tools my last rotation at work for this exact reason. Made a contacts database using recutils with a go cli wrapper, used vikunja for Todo (with a cli wrapper from someone else), have all knowledge stored in a Johnny decimal folder structure with markdown summaries, and an automated typst document creation pipeline cli to blast out reports and posters and stuff, among a couple others. I basically did my job via terminal with agents after investing a couple days getting it set up, paid off very quickly.

Can you share more about your setup? This is such a common problem.

Have been working on three micro-saas, all built in Elixir/Phoenix:

https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.

https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.

https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".

Not sure if people interested, but since I use sqlite in a lot of my own projects, I am working on a lightweight monitoring and safety layer for production SQLite.

The idea is pretty simple: SQLite is amazing, but once it’s running in production you basically have zero observability. If something weird happens (unexpected writes, schema changes, background jobs touching tables, etc.) you only find out after the fact. It tries to solve that without touching application code. It's a Rust agent that runs next to your sqlite file, and connects to the server where everything is logged in. My current challenge right now is encryption and trust, mostly.

Curious if others here are running SQLite in production and if you would be interested in something like this.

PostalAgent - https://PostalAgent.com – direct mail automation for people who've given up on email open rates.

Email averages ~20% open rates on a good day. A postcard sitting on someone's kitchen counter for two weeks is hard to compete with. I've been building out the programmatic side. API, Zapier, and native integrations with Jobber and Zoho so you can trigger physical mail from the same workflows you already use for email.

Shopify integration is almost out the door too, which opens up a lot of interesting abandoned cart and win-back use cases for stores whose customers have opted out of email.

No bulk minimums, no design software needed. If anyone here wants to give it a try, reply or email me and I'll set you up with some free credits to get started.

I'm rewriting a shipping app, that is just over two years old.

This is a "full rewrite," because I need to migrate away from my previous server, which was developed as a high-security, general-purpose application server, and is way overkill for this app.

Migration is likely to take a couple more years, but this is a big first step.

I've rewritten the server, to present a much smaller API. Unfortunately, I'm not yet ready to change the server SQL schema yet, so "behind the curtain" is still pretty hairy. Once the new API and client app are stable, I'll look at the SQL schema. The whole deal is to not interfere with the many users of the app.

I should note that I never would have tried this, without the help of an LLM. It has been invaluable. The development speed is pretty crazy.

Still a lot of work ahead, but the server is done, and I'm a good part of the way through the client communication SDK.

https://notepad95.com/ I still use regular notepad.exe and text files to take meeting notes. But I thought it'd be fun to have a seperate browser tab for it.

https://github.com/nickbarth/closedbots/ I was also trying to do a simplified openclaw type gui using codex. The idea being its just desktop automation, but running through codex by sending codex screenshots and asking it to complete the steps in your automation via clicks and keypresses via robotgo.

Kind of funny how the notepad is faster than opening notepad installed on my machine lmao

I'm developing a system that uses graph differentials to understand what has changed between library versions and upgrades the target system without breaking things. [0]

Because source isn’t always available, it scans the bytecode of an application and the new library, building a full graph of each component in Neo4j to determine what breaking changes impact the target application. This is then translated into tickets and prompts to drive an LLM to make the appropriate changes.

Handling library upgrades is rarely interesting and just adds to our overall technical debt, so it has been nice to automate it away so that we can focus on features and functionality. It supports Java and .Net currently and we’re actively adding support for other languages.

[0] https://codelogic.com/

Been working on Petrichor - native macOS music player [1]

This has been my side project for nearly a year, and I also shared it here in HN when it was in alpha [2] and received a ton of feedback (and stars on GitHub).

The project has evolved quite a bit since then, like having additional file format support, lyrics, Last.fm scrobbling, and more!

[1] https://github.com/kushalpandya/Petrichor

[2] https://news.ycombinator.com/item?id=44515266

LocalKin – a 15MB single-binary AI agent runtime, written in Go, free and open source.

No Python. No Docker. No dependency hell. Just one binary.

What makes it different:

- Soul System: define your agent's identity, persona, and behavior in a plain .soul.md file. Swap souls to get completely different agents from the same binary. - Self-Forging: the agent can write its own skills and load them at runtime. It literally extends itself. - Voice Mode: offline JARVIS-style voice interface, no cloud required. - Works with Ollama (local) or Claude (cloud) — same binary, same config. - Pioneer Edition (29MB, $9.99 one-time): adds robotics/voice/advanced features, runs on Raspberry Pi with GPIO control.

I built this because I was tired of Python dependency hell every time I wanted a local agent. The entire runtime is a single Go binary with zero external dependencies.

Core is completely free and open source. No license key, no account, just download and run.

https://github.com/LocalKinAI/localkin

Designing a conversational UX for Bookmarker.

I was stuck on this conversation problem. First version had a dead-end search box: six starter prompts, one referencing a tool that didn't exist. No follow-ups. No guided flows. Users got an answer and had to invent the next question from scratch.

Now the assistant explores your library with you. Tag discovery, color browsing, weekly digests, smart collections that auto-curate as you save.

Semantic search runs hybrid, keyword matching plus pgvector cosine similarity on 768-dim embeddings. Streaming responses.

Almost there. https://bookmarker.cc/

Have been building a project https://github.com/openrundev/openrun/ which aims to make it easy for teams to easily deploy internal tools/webapps. While creating new apps has gotten easier, securely deploying them across teams remains a challenge. OpenRun runs as a proxy which adds SAML/OAuth based auth with RBAC. OpenRun deploys containerized apps to a single machine with Docker or onto Kubernetes.

Currently adding support for exposing Postgres schemas for each app to use. The goal is that with a shared Postgres instance, each app should be able to either get a dedicated schema or get limited/full access to another app's schema, with row level security rules being supported.

Building a self-hosted agentic OS I call AEGIS — Adaptive Execution & Generative Intelligence System. Running on a single workstation with a consumer GPU. The core idea is a three-tier model cascade: a cloud model handles architecture and review, a local 32B model handles execution and code generation, smaller local models handle evaluation. The cloud model never executes directly — it reviews diffs and approves before anything gets committed. The interesting problems so far: GPU arbitration across competing inference services using a distributed lock, giving local models read-only access to institutional memory before task execution so they're not flying blind, and autonomous fleet provisioning — I spun up a new server node last night without touching it after the USB went in. Next phase is adding department queues so the system understands context — infrastructure work vs. client consulting work vs. internal tooling — and idle-time priority advisory so it starts anticipating what I need rather than waiting to be asked. Goal is something closer to Jarvis than a chatbot. Early days but the bones are solid.

This month, I'm working on VT Code, a terminal-native coding agent I've been building in Rust (https://github.com/vinhnx/vtcode).

This month I'm focusing on long-pending TODO items: self-benchmarking with Terminal bench (https://www.tbench.ai/), fuzzing the security parsers (it executes shell commands, so the threat model is real), normalizing extended thinking traces across providers, and improving the agent UI/UX and TUI components and harness.

I'm building web-based CAD software for woodworkers. Not a plugin, I'm starting from scratch. I'm aiming for it to be intuitive for non-technical users (think SketchUp), while also offering some of the more powerful tools of "proper" CAD tailored for woodworking: simple parametric workflows, cutting layout optimization, built-in tools like chamfers and joints,...

https://maqet.app

Built a last-mile delivery/logistics management system to power deliveries for on-demand/hyperlocal services and launched it last year (mentioned it in another one of these threads last year)

https://toanoa.com/

To date it's handled more than 70k orders, ingested nearly 10m telemetry records, has been extremely reliable, is almost entirely self-contained (including the routing stack so no expensive mapping dependencies) and is very efficient on system resources.

It handles everything from real-time driver tracking, public order tracking links, finding suitable drivers for orders, batch push notifications for automatic order assignment, etc.

I am working on a P2P VPN app that lets you use a friend abroad as your VPN provider with no special setup: https://spora.to

It's mainly for censorship evasion (should be much harder to block than the regular centralized VPNs), but also for expats to access geo-blocked domestic services.

It's at the MVP stage and honestly it evoked much less interest in people than I hoped it would, but I'm still going on despite my better judgement.

I’m working on uvmap.ai A browser tool for editing 3D model textures directly from the model view instead of bouncing between a UV map, an image editor, and an AI tool. You load a glTF, click the part you want to change, it uses SAM3 to mask that region, then sends it to Nano Banana and puts the result back onto the texture. Still early, but the goal is to make texture iteration much less tedious.

Soon here: https://github.com/RefactorHQ/UVMapAI

I’ve been iterating on nights and weekends on a hackers news like website that sources all content from engineering blogs (both personal and company blogs). I have about 600 of the total 3k rss feeds I’ve collected over time loaded up, just tweaking things as I go before dropping the whole list in there: https://engineered.at

While the main app is closed sourced, the rails engine that handles all the rss feeds is open sourced here: https://github.com/dchuk/source_monitor

I have another version of source monitor getting by published soon with some nice enhancements

VS Code Agent Kanban (just made it to the front page)

https://www.appsoftware.com/products/developer-tools/agent-k...

It's a VS Code extension that implements a Kanban board backed by markdown files. It's set up to allow you to communicate with GitHub Copilot chat via markdown files, so you have a clear permanent record of your considerations, decisions and actions. I'd been getting great results with a similar but more manual workflow, so I built this to make managing the markdown files easier and to give me the ability to visually organise with some shortcut commands.

https://lumenfall.ai

Right now we are "OpenRouter for Images", with video following this week.

Our north star is creating a broader developer platform for AI media generation that includes observability, with fine-tuned vision models as a judge to monitor production traffic.

We also have a model arena and showdown page that ranks models by task, so you can find the best model for e.g. photorealism: https://lumenfall.ai/leaderboard

Our stack is Rails for the dashboard and Cloudflare Workers (Typescript / Hono) for the engine.

Mostly Jolteon (https://github.com/lautarodragan/jolteon), a TUI music player written in Rust (for almost 2 years now!)

Also used the new Navigation API (and some Shadow DOM) to build a cheap, custom client-side rendering (sort of) into my site (https://taro.codes), and some other minor refactors and cleanup (finally migrated away from Sass to just native CSS, improved encapsulation of some things with Shadow roots, etc).

I've been wanting to write a simple AI agent with JS and Ollama just for fun and learning, but haven't started, yet...

Started vibe coding a more modern Telnet client for 68k Macintosh systems running System 6 last week, and within a couple of days have a fully working terminal emulator with VT100, VT220, xterm, glyph/emoji support, and dark/light mode.

- https://github.com/ecliptik/flynn

It's mainly for me to use but is entirely functional an real hardware.

I'm working on a project for deploying containerized workloads across your own servers, but with great dx from starting on a $5 server to migrating/scaling to 200 servers (no downtime required for any migrations). think coolify, but with railway dx and no single server limitations.

there's no control plane, each node is equal and eventually consistant and its (so far) end to end rust so a very minimal footprint per node.

Recently two selfhosted open source file sharing platforms archived their repos indicating no further updates (most recently https://github.com/kyantech/Palmr).

I wanted an opportunity to learn more Svelte so I created Enlace which has a Go backend and Svelte frontend.

It's nearly complete but I would love any assistance with testing.

Experimenting with: https://github.com/chocks/locode Local-first AI coding CLI. Routes simple tasks to a local LLM and complex tasks to Claude.

also just posted a Show HN thread: https://news.ycombinator.com/item?id=47310543

• Rogue-like FPS running in the browser

• Dice roller app

• Decompiling a trail cam app so that we don't need to use the stupid UI in the stupid app

• Woodworking. Not code, actual wood. Taking some pine logs I got from the neighbour's trees when they fell over and turning them into a bench and two tables.

• Job hunting?

Just a small project to assist with some stuff at work, but trying my hand at vibe-coding a "data science playground" to try and level-up a couple of people into feeling comfortable using Claude to write data analysis tools. I generated a bunch of synthetic data, that looks like stuff we might encounter on the job, and embedded trends into the data that can be revealed through statistical analysis. I encrypted the answers and put a lil LLM in front of the answer file. You submit answers to the LLM and it tells you warm/cold by looking at the answer file. Hoping to basically gamify the learning process to make it easier/faster to get data-driven results.

I'm working on building a co-pilot that will help chip engineers (VLSI) build chips faster. The process to build a chip is quite different from a software lifecycle and we want to fix that gap using agents that will act as a bridge the reasoning provided by claude and the traditional chip design eco system. https://www.archgen.tech/index.html

I am building npm for LLM Models, you can now install run and ship AI Models.

It’s a CLI tool that makes open-source LLMs installable like packages.

llmpm install llama3

llmpm run llama3

You can also package models with your projects so others can reproduce the same setup easily.

Website: https://llmpm.co

GitHub: https://github.com/llmpm/llmpm-dev

I inherited a stake in a pyridine derivatives chemical plant - while I do not know much about chemical feedstocks and the chemical supply chain, I am trying to help the current partner optimize their yields and reduce losses across multiple stages of reactions across the feedstock and reagents. It is quite similar to hardware design and electrical engineering than I thought.

I have also taken an interest in learning distributed paradigms like MPI and am using it on my own cluster of rPis

I've been building https://lan.events. It's been built entirely with an LLM as I've been learning more concepts behind agentic engineering for reliable development with an LLM. The primary reason I built it is because LANs are disappearing and they were a formative part of my childhood. They were a way to connect with people that I knew from all over the world. I still have some lasting friendships from the big and small LANs I went to as a kid. LANs are free for 50 and under so please sign up and if you have feedback, send it through the support system!

I love the idea and am working on something similar around getting more IRL events out in the world with https://onthe.town

I do wonder if the problem is not so much having a place to find LAN events but actually just having enough people put on LAN events in the first place. It feels like a thing of the past with how much less people interact in person these days. It's a shame because LANs are awesome!

Have you thought about ways to make it easier for people to host LAN events? Or does this solve that as well? I guess a solution would require matching random people together. Happy to discuss more - nick at onthe.town

Hello! I'll shoot you an email. Maybe we can mob on this problemscape together.

> I do wonder if the problem is not so much having a place to find LAN events but actually just having enough people put on LAN events in the first place.

Sort of! I did a lot of research on this before I built lan.events. There are more gamers than ever, but LANs dropped off during COVID lockdowns despite surveys showing an increasing interest in in-person events. More or less, it's actually a venue problem. Running events has incredibly thin and risky margins for something that by its very nature needs to be planned out months in advance. Everything around the events are becoming prohibitively expensive: venues, vendors, equipment rentals, etc are all eating away at the ceiling gamers will pay and the floor that organizations can charge from.

LAN.events helps tackle this by decreasing the cost per ticket and shifting that cost to the customer rather than the event manager. We don't introduce minimum event costs or percentage based pricing which lets event managers keep or give back more profits. There is more I can do in this space, but that's the biggest way I can contribute right now.

A5 - a pentagonal geospatial index: https://a5geo.org

If you’ve used H3 the semantics should be familiar. The biggest differentiator is the fact that cells have exactly the same area globally, for why this matters see: https://a5geo.org/docs/recipes/a5-vs-h3

Since starting the project last year and providing implementations in TypeScript, Python and Rust it’s been great to see a community grow, porting or integrating into DuckDB, QGIS and many more: https://a5geo.org/docs/ecosystem

I'm a former Lyft & DoorDash engineer exploiting a talent loophole.

Mission: get startups access to senior & principal big-tech engineers at a 90% discount and without hemorrhaging equity.

The hack is that I'm tapping into a hidden supply of people hiding in plain sight: top engineers that are already full-time employed in big-tech with benefits who enjoy helping smaller startups, and, recently retired people who want something to do.

The name I'm using is Low Touch Advisor because we are selling what I call "low touch" help in the form of async Slack based guidance. By having access to senior people perfectly matched to your team's needs, you can use your actual engineers to do the hands on and majorly reduce the likelihood that a major rewrite is needed after 6 months of effort on new projects.

Basic model: - Our customer (an early stage company) pays $1,500 / month with no long term commitments to get async Slack help from a vetted senior/principal engineer perfectly matched to their needs - Of that, we ACH $1k / month to the engineer who provided the Slack-based help

Within the first 3 months of operating, I have $27k of monthly revenue booked in my sales pipeline.

So far I've done everything by hand but once I'm a bit further ahead, I'm going to look to begin automating this.

If you want to connect: https://www.linkedin.com/in/jonathanblockengineer/

Eazip (https://eazip.io) — ZIP remote files in one API call.

I built a service that lets developers bundle remote files into a ZIP with a single POST request. You send a list of URLs, we fetch, package, and return a signed download link.

The problem: creating ZIPs from remote files (S3, R2, CDN) usually means downloading to a server, zipping locally, managing temp storage, and cleaning up. It's surprisingly painful at scale — especially with large files or thousands of items.

Eazip handles all of that. ZIP64 support for files over 4GB, up to 5,000 files per job, zero egress fees on downloads, and no infrastructure to manage.

Use cases so far: e-commerce photo bundles, document delivery (invoices/contracts), creative asset distribution, and backup/export tooling.

Free tier available, no credit card required. Would love feedback from the HN community.

GetSize (https://www.getsize.shoes). We’re collecting the official sizing data of the world's shoes in one place.

Today, if you search for "what size should I get in Nike Air Max 90" you'll find size charts. We have it, and for 200+ brands across 70+ retailers. When users tell us which shoes they own and what size fits them we’re slowly building crowdsourced fit recommendations which are personal and more accurate compared to size charts.

We're two coders who've built an almost fully autonomous platform. AI agents build, debug and deploy crawlers on their own. We went from 4 crawlers to 280+ in about a month, and the whole thing runs on a home server. When new shoes are discovered, the platform publishes new pages with relevant info automatically. Agents get access to platform metrics and SEO data via custom MCPs to identify the right opportunities on their own. Currently at about 3000 MAU and about 100 size recommendations/day.

Example: https://www.getsize.shoes/en/shoes/nike-air-jordan-1-low-se-...

I'm currently working on https://FaunaMap.app (web/Android/iOS) which lets nature enthusiasts see which birds, mammals, reptiles, etc. can be expected at any location worldwide using the past 20 years of GBIF observation data. It features an interactive global sightings map, color-coded to quickly spot recent rarities nearby. Public birding hides from OSM and a hotspots heatmap are included for trip planning. Users can quickly log large numbers of observations in the field. Observations with images appear in an Instagram-like feed for interaction with other users. Personal species life lists (global, per country, and custom locations) are also included. Feedback is very welcome :)

Keep on chugging away at The HN Arcade :) https://hnarcade.com

Over the past weeks, we consistently get 5-6 submissions per week. The newsletter and number of visitors are growing.

I’ve come to treat this as a pet project but realized that for indie devs who get very little marketing attention, being featured in the newsletter, top of the daily list, etc. can be another burst of users.

https://i.imgur.com/mTyjQXs.png I am still building the "make money app" for some difficult users. :) Last update was calendar integration, everything besides the invoice is a sandbox, kind of like the Unix philosophy of pipes, lots of standalone apps. You are welcome to have a look at https://peterretief.org/ demo demo123 (Not accepting any new users atm, still too raw)

i've been grinding away to make "Plates" the best it can be. i know building a weightlifting app is a massive cliche, but i felt compelled to make it anyway and honestly have zero regrets. i was fully expecting people to roll their eyes at yet another workout tracker, but to my surprise, the feedback has been incredibly positive.

even with everyone and their mother shipping a workout app (accelerated by the vibecoding surge), nothing quite hit the bar i was looking for. everything seemed to be built in react native, flutter, or another cross-platform framework, meaning it never truly felt at home on the device.

beyond just wanting something fully native, i felt there was a real gap in the prosumer market. i wanted to build something for people who already know what they're doing in the gym, have their program, and just want a solid tool they can actually own (it's a one-time purchase of $12.99) that at the same time gives them all the insights they'd reasonably want (muscle heatmap, 1rm breakdowns with different formulas, working volume, best volume, etc.).

the app is called Plates: Weightlifting Log. if you're interested in checking it out: https://useplates.com

https://fyp3.com/ (not mobile friendly yet, desktop only)

Pocket meets HN: Store your bookmarks and read the latest on tech, startups & AI.

i am working on deep learning and reading from papers and implementing them my work on this: https://github.com/NalinDalal/ai planning a blog series on this soon

also working on a side project to learn about coding contest platform, hence building a web platform to let admin put up contest and user attempt them

Five months into building product analytics for conversational AI. Started by targeting vibe coding tools like Lovable but realized most of them don't care about user experience yet. With monthly churn over 50%, they focus on acquisition, not retention.

Now shifting to established SaaS companies adding AI assistants to their existing products. Some of them literally have people reading chats full time, so they actually value the experience.

Building https://lenzy.ai - 2 paid customers, 2 pilots, looking for more and figuring out positioning.

I have been using AI workflows at work to increase the productvity. I have shared these workflows internally and at a couple of tech meetups I went to. I got positive response.

Some of these are present here: https://github.com/vamsipavanmahesh/claude-skills/

Planning to package this as a workshop, so companies could be benefit from AI Native SDLC.

Put together the site yesterday https://getainative.com

Couple of the people I have worked with in the past agreed to meet me for a coffee, will pitch this. Fingers crossed.

I am working on Grog, the “grug-brained” alternative to Bazel. Bazel has a very steep learning curve and is pretty much overkill for most medium-sized teams. Grog already powers all of our internal mono-repo CI and is a lot more fun to work with.

https://grog.build/why-grog/

Online sticky notes - https://estickies.com

Random episode generator - https://randomepisodes.com

Wishlist maker - https://listwisher.com

I'm making alternative client software for Bluesky. In part because I think the default client is a bit messy and embodies a few legacy UX decisions that clean sheet implementation could improve upon.

I have a bigger idea, too: I have a theory that a lot of enterprise group productivity software is really a species of social media. ATProto is an interesting basis for software that organizes workflows that incorporate agents.

I'm doing crystal bindings for pipewire and wayland clients. It is nice to be able to do so much with so little. github / yxhuvud / [pipewire_cr | wayland_client]

Building DynoWizard [1] - tool for designing single table DynamoDB tables.

I first used DynamoDB 8 years ago and have been designing single-table schemas heavily since. For me, the best way to create drafts was always pen and paper (and then excel/confluence tables), but in reality it's a process (based on The DynamoDB Book) that can be automated to an extent.

Decided to build an app while on paternity leave. You define entities and access patterns, create (or get suggested) key and GSI design, and generate code for access patterns (TypeScript and Python), infrastructure (CDK, CloudFormation, Terraform), and documentation you can share with stakeholders.

There's more I want to build beyond the MVP - things around understanding and validating designs that you can't get from a chatbot - but for now focusing on the core.

If anyone wants to try it out, sign up for the waitlist on the landing page. MVP should be ready in the next few weeks.

[1] https://www.dynowizard.com

I build Seaquel, the database client I've always wished I had. It's open source, works offline and doesn't track what you do.

It has a visual query builder and separate SQL tutorial.

https://seaquel.app

I’m working on a SaaS develop tool to integrate cross-device file uploads in web apps.

https://syncsnap.xyz

I'm working on JRECC, a Java remotely executing caching compiler.

It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.

https://jrecc.net

A friend and I are building Sheet Ninja (https://sheetninja.io).

It turns your Google Sheet into a live API.

We know the "Sheet to API" space is a little crowded, but we've always wanted to get better at distribution, marketing, and growth hacking. We needed a real product as a sandbox to learn, so we built a tool that we'd use ourselves.

There's a free tier. I'd love to hear any feedback on the product (or our marketing efforts!). Thank you!

https://github.com/crossplane/crossplane/issues/1805

Love learning about crossplane and diving into its internals, so I am working on fixing issues it has on its "issues" page in GitHub.

https://docules.net/about

I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude Code daily, but putting LLMs into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an API and an MCP server instead, so you connect whatever AI tools you actually want to use. The core product focuses on being a fast, solid docs tool. Real-time collab, fast — no embedded databases or heavy view abstractions, hierarchical docs, drag-and-drop, semantic search, comments, version history, public sharing, SSO, RBAC, audit logs, webhooks, etc. The stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package that exposes search, document CRUD, and comments — so Claude/ChatGPT can work with your docs without us reimplementing a worse version of what they already do. Happy to talk architecture or the MCP integration.

I wanted to make it exceedingly easy to learn vocabulary in Catalan and Spanish.

To me good is - Pre-determined lists of words - Audio examples - Sentence examples - Native app with offline support

most importantly: - No business model that requires a subscription

I'm trying to see it more as writing a text-book, than starting a business

https://learnthewords.app

When I have time between freelance work I make games and tools for myself.

Put One In for Johnny Minn (https://store.steampowered.com/app/3802120/Put_One_In_for_Jo...) - A small soccer game all about scoring nice goals. While I don’t expect it to do well, I’m very happy with how it came out, and it’s the first game I’ve made that I’ll release on Steam! Comes out on Thursday (March 12th).

HeartRoutine (https://www.heartroutine.com/) - I built this a few months ago to help me stay on top of my heart health. I enter my numbers on the (offline) app, and then configure my goals (like “lower Apo B through diet and exercise”), and then the server emails me every morning asking me what I ate yesterday, how I exercised, etc. The goal is to stay on track, and to be able to bring a cardiologist a very detailed report.

Me and Claude have been working on zfetch (https://github.com/roobie/zfetch), which is a single static binary that fetches URLs over HTTPS with strict security defaults. For many applications, it should be able to replace curl in restricted environments where you need a small, auditable tool with no runtime dependencies.

It should also be usable as a Zig library for embedding HTTP(S) fetches in your own programs.

Vendors and links BoringSSL

I'm working expanding upon one of the first web app projects I had on my resume when initially starting out in Software Engineering, HoopTime. It's an app for pick-up basketball players looking for a good park for games around your city. Right now focused on cities close to me, namely, Sacramento.

For this iteration of the project, I'm using Manus to build it. My first stab at using AI to build a web application, and the results have been interesting. Although I'm not debugging the code as much with this approach, I was surprised to still feel a similar level of 'fatigue' as I'm guiding the LLM along with the build. Check it out, would love your thoughts!

https://hooptime-vbn5prc4.manus.space/

Picked up hacking on sanctum again after a break - https://sanctorum.se/

I've been working on a surfing game on my spare time for the past year. The idea is to keep it closer to the real sport, focusing on pumping, carving, nose-riding, etc. I shared a video of it on the Unity3D subreddit[1] and the feedback was quite positive, so planning on getting a demo ready as soon as possible!

[1] https://www.reddit.com/r/Unity3D/s/mB2kn0BxIT

https://vocabuo.com - A spaced-repetition flashcards language learning app that allows you to extract words from websites, youtube and conversations with ai.

I've finally finished the long-abandoned project that I've been meaning to build for a while.

If you use Stripe Billing for subscriptions, your customers can specify reasons why they cancelled (e.g. too expensive, not using it, switched to competitor, etc.). However, to access those, you either have to use Stripe Sigma or pull them from the API. I wanted to build a more convenient way to access those (and also act upon them).

I've submitted the app to Stripe's App Marketplace, but I have a limited number of test invites to send out if you're interested (I will happily waive your subscription for 3 months).

https://dunningbear.com

My fun but ridiculous project is reverse engineering as much of Wizardry VI as I can: https://github.com/martydill/Wizardry-6-reverse-engineering

This is the type of project that I never would have started in the first place if not for LLMs.

A music livecoding app[0], it's open-source[1] and it's been in the works for years in various iterations, but I've finally settled on the format and delivery. I'm now trying to make it as newbie friendly as possible by doing tutorials[2] and videos[3] and having ready-made instruments[4] to begin with. Thinking also to expand it as a general purpose creative editor in a standalone electron app and bundle in other livecoding languages as well, for graphics also.

[0]: https://loopmaster.xyz

[1]: https://github.com/loopmaster-xyz/loopmaster

[2]: https://loopmaster.xyz/tutorials

[3]: https://www.youtube.com/@loopmaster-xyz

[4]: https://loopmaster.xyz/docs/synths/bongo

Agentic code construction has broken traditional models for code review - the volume is just too high for humans to keep up with.

There are some good tools out there for automating pr review; IMO, they don't catch enough, and they catch it too late.

I've been experimenting with some ideas about a very opinionated AI code reviewer, one that makes an ideal tradeoff between cost and immediacy (eg, how soon after composition does the code get feedback).

Currently in an invite-only alpha, but check out the landing page and lmk if you'd like to be a trial user!

https://getcaliper.dev/

Native macOS sandbox terminal:

- UI for sandbox-exec to protect filesystem - Network sandbox per domain - Secrets filter via gitleaks - Vertical tabs option

It's highly customizable. You generate native macOS app wrappers for each terminal app, each with its own rules and customizations.

https://multitui.com

I've been using a VM for claude code (probably would keep doing that as I do like how much control I have over it by doing that) but this is definitely a useful tool, I'll happily use that in the future.

Optimizers Log (https://optimizerslog.substack.com/) - Collection of stories from engineers optimizing day-to-day activities at work and personal life.

I've been working on my local server mocking tool Decoy: https://decoy-app.com/

I've built it earlier and also did a Show HN, now I am going through some of the steps that get recommended to me such as creating Product Hunt launches, etc. But I am struggling a bit with the concept of PH. What is the audience? People into new apps? It all feels a bit desperate to be honest and this app is just a hobby side project, I am not.

So if anyone knows of a good way to get some attention to my useful fun tool, please let me know.

I've been working on an open source cat-themed virtual pet running on an ESP32: https://github.com/moonbench/catode32

It was inspired by tamagotchis of yesteryear (and my two cats). It uses a small common monochrome SSD1306 display with 128x64 pixels of resolution.

All of the pixel art is my own. And the cat features a bunch of different animated poses and behaviors, as well as different environments. And there are minigames (a chrome dino clone - but with a cat!, a breakout clone, a random maze generator, a tic-tac-toe game, and I plan to add more.)

I'm currently working on tweaking the stats so that they go up and down over time in a realistic way and encourage the player to feed and interact with the pet to keep stats from going too low. Then I plan on adding some wireless features, like having the pet scan WiFi names to determine if its home or traveling, or using ESP-NOW to let pets communicate with each other when they're nearby.

I made a reddit post with a video of it a few weeks ago [1] and have various prototypes of artwork for these little screens on my blog [2].

[1] https://www.reddit.com/r/arduino/comments/1r8i1vx/progress_o...

[2] https://moonbench.xyz/projects/tags/SSD1306/

rainy-city.com! rainy-city.com is an ambient rain sound generator that is also a kind of city simulation. it is my recurse center project. it's suppose to be more of an ambient experience than a city simulator. it's a total work in progress, I've implemented buildings but haven't made a PR yet because they don't really work the way I want them to, and so I had to rebuild the tiling for them. So right now, there is no city. lol. just rain. but eventually it will have all this stuff you would expect. there are whales.

https://rainy-city.com/

* Reconstructing `$HOME/git` after an unfortunate `rclone sync` wiped it. It was not fun discovering that my backup was on the wrong `git` directory and also that I'd not committed some stuff for ... years. Lesson learned, etc. * Implementing three new bot ideas. * Trying desperately to stay out of the "we must vibecode!" juggernaut's path at work. * Wasting hours having to manually download Every. Single. Model. from my MyMiniFactory library because they don't provide an API, a bulk download, or a sync to something like Dropbox. (1500 down, about 4000 to go!)

I use iPhone notes to write down all my thoughts and things I want to track. I want to make an app that turns each one into a heading text, and AI generated image or short video. And then I can scroll through them like tik tok and interact with them by adding more notes, etc.

Building wireless (LTE-based) sensors for most major horticultural sensing needs. Measurements include:

- CO2. Side note: I was surprised to find that most (all?) CO2 sensors used in closed plant production setups are not meant to operate below 400 ppm.

- Air temperature, pressure, relative humidity

- Photosynthetically Active Radiation (PAR)

- Addons like: wind speed, wind direction, soil moisture and Electrical Conductivity (EC)

- The coolest and most challenging: pH, EC, and flow rate

The hardest part has been running everything on battery while maintaining accuracy and using LTE (2–4G) and not common LPWAN options like LoRa. I'm primarily a software guy, so the learning curve has been huge.

Deep learning based encoding for data protection. Always looking to connect with interested parties.

https://lyfe.ninja/projects

https://struktur.sh

An all-in-one tool for structured data extraction with LLMs.

$ struktur extract —input doc.pdf —schema schema.json —model openai/gpt-5

- can prepare documents (PDF->text etc.) - run multiple different extraction strategies - runs a full agent loop for data extraction in-process using Pi agent and just-bash.dev. It can grep through large files for example.

I've been working on an app to track my son's 1000 books before kindergarten. I've also added QOL features like barcode scanning for adding books to the library and creating a rotation based on the last time the book was read and whether I actually enjoy reading it. (The books I don't like make it through the rotation just with less frequency.)

This was an excuse to ship a mobile app for the first time and get familiar with supabase.

After these last few bugs are fixed, its ready for a semi-public TestFlight with our friends who have kids.

https://bettertaste.cc/ Building an iOS app that helps travelers find handpicked places with real local character: cafés, restaurants, hidden galleries across European cities. No sponsored listings, no aggregator noise.

https://getvalara.com - PDF appraisal document in, grounded appraisal review out in 5-10 minutes to aid in risk management for lending institutions and individual appraisal reviewers.

We use landing.ai to parse the PDF, as well as useworkflow.dev to durably perform other work such as rendering PDF pages for citations, and coordinating a few lightweight agents and deterministic checks that flag for inconsistencies, rule violations, bias, verify appraiser credentials, etc. etc. Everything is grounded in the input document so it makes it pretty fast and easy. We’re going to market soon and have an approval sign up gate currently. Plenty of new features and more rigorous checks planned to bring us to and exceed parity with competition and human reviewers.

There’s plenty of margin for cost and latency versus manual human review, which takes an hour or more and costs $100 or more.

Working on Fairvisor — a tool for API governance and usage control.

The problem: one buggy integration, scraper, or infinite retry loop can suddenly explode your API costs or overload infrastructure before anyone notices.

Fairvisor acts as a guardrail in front of your API:

per-tenant and per-route rate limits

request budgets and soft/hard caps

anomaly alerts for sudden spikes

The edge component is open source (OpenResty / Nginx + Lua) and the SaaS part provides policy management and audit.

Still early, validating whether teams would use something like this instead of building internal scripts.

https://github.com/fairvisor/edge

I'm working on arranging talks and poster presentations at various conferences/seminars to spread knowledge of my latest academic paper, "Specieslike clusters based on identical ancestor points". In the paper, among other things, I argue that (we should define species in such a way that) for any organism in any species, either the species is made up almost entirely of descendants of that organism, or else the species is made up almost entirely of non-descendants of that organism. This is a funny property because most people who hear about it fall into one of two camps, those who say it is obviously true, and those who say it is obviously false!

The paper in question: https://arxiv.org/abs/2602.05274 (published in the Journal of Mathematical Biology)

I’m working on a small deployment tool called push2start[1]. The goal is to make Docker Compose apps easier to deploy from a laptop to a remote server without a lot of custom scripts. Right now, I’m trying to keep Compose as the source of truth and avoid creating another mini orchestrator. You point it at a compose file, it transfers only the images that need to come from local, then deploys and gives status, logs, and restart controls from one CLI.

[1]https://github.com/kwakubiney/push2start

I remember reading that Docker Compose is for development environments only, and should not be used in production. Did that change?

Nope! This is for development purposes only. Say, for example, you have a frontend team that wants to connect to a service, and that service talks to other services to get a response, and you sort of want like a central point of connection for the frontend team just for development purposes only, not for production.

I wrote this little web app over the weekend, the idea was to make you think about your next purchase by introducing a 48 hour countdown. In 48 hours you come back and decide if you really need this product, or if it was just an impulse buy.

All data lives in your browser (IndexDB) - https://buyitlater.vercel.app

I just add things to my Amazon wish list. I never buy anything from the list but it seems to put the idea out of my mind.

I've been celebrating five years of working on OnlineOrNot (https://onlineornot.com/) by adding more features for teams that build software:

- 2FA, PassKey, and password-based login for folks that hate magic links

- Moved my entire API from GraphQL to REST so I can fully dogfood the API I offer

- Added an audit log as standard on all plans

- Built a terraform provider (https://github.com/OnlineOrNot/terraform-provider-onlineorno...), and a way to download existing config into terraform files

- Started iterating on a CLI (https://github.com/OnlineOrNot/onlineornot)

I just launched Kyaraben, it's an alternative to EmuDeck that autoconfigures Syncthing for your devices.

For those not in in that niche, the goal is to set up a Linux desktop or Steam Deck for retro (and not so retro) video game emulation, so you just drop in your ROMs, open a frontend via Steam, and play your games.

https://kyaraben.org

I'm building Fillvisa: Turboxtax for Immigration [1]

It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.

So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.

I found out SimpleCitizen(YC S16) offers a DIY plan for $529 [2]

So, a free (and local-only) version might be a good alternative

[1] https://fillvisa.com/demo [2] https://www.simplecitizen.com/pricing/

Delving on to personalized software again now that AI agents code it for me with little hand holding.

Instead of building scrips here and there I'm attempting my own everything app. Lets see if that's a good idea :).

Starting with android home screen and widget sync to server/desktop. So e.g. calendar notifications happen desktop first, then escalate to mobile etc. Also phone as mousepad (for using my projector from bed). Just feature creeping it all in without regrets so far.

In general I feel like feature creep needs to be reevaluated. UX must not be destroyed, but features cost less now.

Doing similar except decided against a single app. Lots of small apps behind a reverse proxy with mTLS auth instead.

cool! what features?

I have or am planning:

- escalating reminders

- always on display

- upcoming meetings / calendar

- have "website + prompt = widget" app that needs integration

- want 2 tier prio email filter (important, personal, ignore rest)

- android launcher with decent ergonomics (match "ff" to firefox, most used prioritized, launch with enter etc.)

- maybe some agent integration

I'm porting Jetpack Compose to Rust. The Rust would be the future default ai language. Having the familiar well designed by Google UI API will help Android developers to be in a loop. https://github.com/samoylenkodmitry/Cranpose

This weekend I spent a lot of time on an Agent Registry idea I wanted to try out. The basic idea is that you put your Agent code in a Docker image, run the container with a few specific labels, and the system detects the Container coming online, grabs the AgentCard, and stores it in the Registry. The Registry then has (in the current version) a REST interface for searching Agents and performing other operations.

But once all the low level operations are done, my plan is to implement an A2A Agent as the sole Agent listed in the AgentCard at $SERVER_ROOT/.well-known/agent-card.json, which is itself an "AgentListerAgent". So you can send messages to that Agent to receive details about all the registered Agents. Keeps everything pure A2A and works around the point that (at least in the current version) A2A doesn't have any direct support for the notion of putting multiple Agents on the same server (without using different ports). There are proposals out there to modify the spec to support that kind of scenario directly, but for my money, just having an AgentListerAgent as the "root" Agent should work fine.

Next steps will include automatically defining routes in a proxy server (APISIX?) to route traffic to the Agent container. And I think I'll probably add support for Agents beyond just A2A based Agents.

And of course the basic idea could be extended to all sorts of scenarios. Also, right now this is all based on Docker, using the Docker system events mechanism, but I think I'll want to support Kubernetes as well. So plenty of work to do...

For over a year now, I’ve been working on Compute Prices (https://computeprices.com).

It’s been a great way for me to better understand the cloud GPU industry, learn about data collection, normalization and use agentic coding to build a side project.

One thing I’m working on is distinguishing spot vs on demand prices and listing those separately. Also, including inference pricing for non-text AI models.

What features or data would you like to see me add next?

Trying out vibe-coding (so mostly not even reading the code) a note-taking web app that's essentially a simplified and dirt-cheap to host Workflowy clone. That seems to me like an easily disruptible SaaS in the sense that note-taking is a very generic app, I only use a small part of the feature set of Workflowy and find the price far too high given that. A lot of other vibe-coding around me I see is throw-away junk, but my intention is to actually use this. The frontend is mostly done and working quite nicely already. Sync is then more crucial to get right to avoid data loss and I think I'll review and rewrite myself more of that.

Is the frontend component from scratch? Must be quite hard to get that right. I wish Dyanlist (from the same talented people who are doing super well with Obsidian...) was open-sourced so we had a good model for outliners.

Yeah, the frontend is from scratch. Each bullet is just a div contenteditable. The DOM is the state (Claude Code suggested the usual frontend pattern of separate state and rerenders, but I rejected that). Apart from the DOM, content is dumped to local storage. Bullet folding and zooming work mostly just by showing and hiding the bullet divs i.e. the whole note tree is all the time in the DOM. It's conceptually quite simple and Claude Code is good at writing code that traverses the DOM. There's of course a lot of operations like indent/dedent, copy-paste, undo/redo etc. but they've been quite painless to add.

A macOS screen recording CLI application that can record: screen, mic(s), camera(s), system audio, iPhone/iPad screen. You can select different tracks with their own options (video encoding, audio encoding, filename, combine camera with mic for example or even screen + system audio + mic). It also tracks clicks, scroll, keyboard and generates closed captions automatically at the end. Now I'm working on adding 1-2 more features and an MVP is done.

Completely automating the difficult problem of json parsing and normalization in cloud data warehouses. https://forge.foxtrotcommunications.net/

Today engineers spend dozens of hours agonizing over how to unlock the vast analytical possibilities of JSON data in their warehouse. The internet is littered with half solutions and broken promises. Today, we have solved this problem.

I finally, after a couple of years off, picked up work on a Standard Ebooks[1] edition of The Book of the Thousand Nights and a Night. I made a new years’ promise to myself to get it as done as possible by the end of the year. If it doesn’t happen I’m not going to be too hard on myself though, given the 5K endnotes and 1.5M overall word count. But we’ll see!

[1] https://standardebooks.org/

Working on a Vercel-like cloud hosting PaaS, but specifically tailored to South Africa. Everything is hosted on local servers, and pricing is ZAR instead of USD. It's called Zanode if you want to check it out :)

https://www.zanode.co.za/

Training a tiny LLM for fun using Rust/Candle - I constantly tweak stuff and keep track of results in a spreadsheet and work on generating a bigger corpus with LLMs. It's a project for fun, so I don't care about finding actual human generated text, I'd rather craft data in the format I want using LLMs - Probably not the best practice, but I can sleep properly despite doing that.

My favorite output so far is that I asked it what life was and in a random stroke of genius, it answered plainly: "It is.".

It's able to answer simple questions where the answer is in the question with up to 75% accuracy. Example success: 'The car was red. Q: What was red? ' |> 'the car' - Example failure: 'The stars twinkled at night. Q: What twinkled at night? ' |> 'the night'.

So nothing crazy, but I'm learning and having fun. My current corpus is ~17mb of stories, generated encyclopedia content, json examples, etc. JSON content is new from this weekend and the model is pretty bad at it so far, but I'm curious to see if I can get it somewhere interesting in the next few weeks.

https://github.com/antoineMoPa/rust-text-experiments

https://odap.knrdd.com/

A site for anti patterns in online discourse.

Example: https://odap.knrdd.com/patterns/strawman-disclaimer

Need to gather more patterns then create tooling around making it easier to use.

The goal is to raise the quality of comments/posts in forums where the intent is productive discussion or persuasion.

Biodiversity & climate platform that takes care of your plants.

Online part mostly done at https://www.meso.cloud/plants/, currently building glass grow box and light prototypes that will be driven by it.

Happy March everyone,

I am working on Entangle, https://entangle.cloud something for me to learn and play with LLMs and AI.

It is not ground breaking but let your website to have an AI chat bot / agent with minimal integration effort. Also was a good way for me to learn how to keep things safe, prevent prompt injection etc.

Looking for feedback and feel free to give it a try, happy to try it with your project documentation or developer docs.

I'm working on a TUI-based agent orchestrator called Tenex: https://github.com/Mockapapella/tenex

It's gone a long way to solve the "review" bottleneck people have been experiencing (though admittedly it doesn't fix all of it), and I'm in the process of adding support for Mac and Windows (WSL for now, native some other time).

Some of the features I've had for a while, like multi-project agent worktrees, have been added as a part of the Codex App, so it's good to see that this practice is proliferating because it makes it so much easier to manage the clusterf** that is managing 20+ agents at once without it.

I'm feeling the itch to have this working on mobile as well so I might prioritize that, and I'm planning to have a meta-agent that can talk to Tenex over some kind of API via tool calls so you can say things like "In project 2, spawn 5 agents, 2 codex, 2 claude, 1 kimi, use 5.2 and 5.4 for codex, use Opus for the claudes, and once kimi is finished launch 10 review agents on its code".

Working on an all in one "platform" that runs multiple different checks on a website/domain. Got sick of having to run different checks in different places to ensure everything is at it should be - SSL, HTML, SEO, redirects etc.

Extended the checking to monitoring and change detection/alerting. You can try for free at https://www.augsentric.com - built for my own needs, but made it for others if there's interest... feedback welcome

icloudpd-rs - Fast iCloud Photos downloader, Rust alternative to icloudpd

The original Python icloudpd is looking for a new maintainer. I’ve been building a ground-up Rust replacement with parallel downloads, SQLite state tracking, and resumable transfers. 5x faster downloads in benchmarks, single binary, Docker and Homebrew ready.

https://github.com/rhoopr/icloudpd-rs

Running a marathon soon and want my friends to track and engage with me in realtime. Working on:

1. An app for my Apple Watch that streams GPS + health data

2. A web app that tracks my run in realtime. Friends can engage by sending cheers that I see while running.

https://github.com/radjavi/liverun

https://talimio.com/ Generate fully personalized courses from a prompt. Fully interactive.

New features shipped last month:

- Adaptive practice: LLM generates and grades questions in real-time, then uses Item Response Theory (IRT) to estimate your ability and schedule the optimal next question. Replaces flashcards; especially for math and topics where each question needs to be fresh even when covering the same concept. - Interactive math graphs (JSXGraph) that are gradable - Single-image Docker deployment for easy self-hosting

Open source: https://github.com/SamDc73/Talimio

Very cool! I'm chaperoning a python club for teens these days, I should make use of this concept!

i was delighted to see your comment at top... I am working on the exact same thing, generating concept DAGs from books and letting a tutor agent use it for structure and textbook reference. can we discuss this somewhere else?

yeah sure, my email is in the bio

Is this launched? Looks cool, but you should add a privacy policy.

It's -kind of- launched, still have couple of things to tight.

And will add a privacy policy by the end of the day, thank you for point that one out

Mostly art projects:

- VR version of Surface Browser (3d internet browser): https://boxc.net/surfacebrowser.html

- Crowd Strike: faster self-driving: an exhibition where the visitors help autonomous drones target a different visitor each minute with lasers

and also Wingman: a dating app secretary (privacy focus, runs locally on your computer for any dating app that has a web site. It tells you if favourites have messaged you): https://boxc.net/wingman_app.png I'll open source this one if interest.

Is crowd strike like a digital twin / virtual world sandbox for autonomous drones? Do you have any additional information I could check out? Been working on autonomous drone flights but eventually need a digital world to experiment in but have yet to reach that step. Debating working with Unreal Engine or NVIDIA omniverse but unsure what the right direction is.

https://beanhoard.com/

Coffee Roaster Aggregation ETL using fastapi, nextjs, bs4 etc etc. It's been fun, just finished up the oauth for discord that pairs nicely with the info required to make Discord dm notifications function. attempting to charge 6$ for the instant notifications, but doubt many people will be interested. up to 75 roasters and all of them are checked every 10 mins for new products.

Considering reusing the repo as a framework for other industries if this project ever gains any traction. Also was considering adding a goofy rag discord bot to the server just because i love tossing in a rag layer everywhere lately, and feel like i fall a bit short on my filters for stuff like origin/flavor notes and all that junk. Semantic search with solid chunk strategies might create a better solution than if i did get all the filters working as well as possible.

I built Collider, A wrap-based package and dependency manager for Meson.

I needed a way to use and push my own artifacts in Meson projects. WrapDB is fine for upstream deps, but I wanted to publish my packages and depend on them with proper versioning and a lockfile, without hand-editing wrap files.

Collider builds on Meson’s wrap system: you declare deps in collider.json, run collider lock for reproducible installs, and push your projects as wraps to a local or HTTP repo. It’s compatible with WrapDB, so existing workflows still work: you just get a clear way to use and push your own stuff. Apache-2.0.

https://collider.ee

Published a post that contains all of the blog posts by other people that I shared in my monthly mail-letter: https://bryanhogan.com/blog/other-cool-blog-posts-2026

Also moving to Sveltia as my CMS (Astro markdown blog), after exploring multiple other options. Changed the structure of my Obsidian vault, will write about that also.

I’m also still working on a few projects:

- https://dailyselftrack.com/

- https://game.tolearnkorean.com/

- https://app.tolearnjapanese.com/

- https://tolearnkorean.com/

* Remote viewing stock market trading programs - One version is with a buddy who shows me a colored board depending on the outcome for the week. The other is a solo version using a Swift app on Mac. We're just out of buggy beta (the analog version was laughably more difficult to get clean. We'll see if either works and which one wins.

* Telephone handset for my mobile phone with side talk.

* First draft of a book / workbook on Work Flow. Outcrop of the work flow consulting I do, stuff I've learned, and so on.

* Short film script - trying to convince a local actor to play the lead before we lose the rainy season here - otherwise we'll need special effects or just wait until the fall.

* Polishing firmware, OSX, and iOS suite for a wearable neuromodulator unit. Deadline in a week!

* Nmemonic community and app - been poking at this for years and finally had a breakthrough on the UI. My first app to release in the wild, so pretty exciting.

ChatShell (https://github.com/chatshellapp/chatshell-desktop) — open-source desktop AI agent built with Tauri 2 + Rust. Ships with 9 built-in tools (web search, bash, file read/write, grep, etc.) so the AI can take real actions from the first conversation. No plugins, no config. Supports 40+ providers, MCP with OAuth, and a skills system. Apache 2.0.

Today working on adding chat history search (FTS5) and OpenRouter Nano Banana 2 support.

Been using ChatShell as my daily driver for non-dev tasks — research, writing, file management, web lookups. The features I rely on most are well tested through dogfooding.

I’m in the early stages of making a game similar to shattered pixel but I want it to be mostly above ground instead of dungeons and have more variability and character interactions.

Get in touch if you want to help. Email in profile.

Current working on two new products:

* https://sprout.vision/ - AI generated Go-To-Market Strategy for launching your next venture. I have a Tech background with limited GTM experience, so I experimented with AI to learn about different strategies and decided to turn it into a simple product that will generate a comprehensive plan (500+ pages) to help you launch your next venture. Try it out, would love to hear your feedback, use the HN50 promo code for 50% off your order.

* https://pubdb.com/ - Reviving a 10 year old project, it’s meant to make research publications more accessible to mere mortals with the help of AI. I have lots of ideas I want to try out here but haven’t gotten around to it yet. Currently focused on nailing down the basics with an OCR indexing pipeline and generating AI summaries.

[dead]

We are developing a single-passenger autonomous vehicle, capable of traveling over 1000 miles, performing fully automated vertical takeoff, cruise, and landing.

Info (not recent) available here: https://awz.us/docs

On a side, I am building OS player in React for museums and other cultural institutions: https://audioguidekit.org/ – released the very first version just a month ago.

Hosting and nicely typesetting some of the essays/speeches of Alfred North Whitehead on education and the role of Universities, now in the public domain. Most are from Project Gutenberg, but I've been manually transcribing a couple others.

https://mkprc.xyz/public-domain/whitehead/

Working on a software trial automation infra.

While working on another project, I needed a very simple service I could setup in a few clicks, which would take my docker compose and manage the spin up and tear down of ephemeral VM automatically when triggered by a signup on my landing page.

I couldn't find anything real simple, so I decided to build it. Currently working on it.

https://trialbox.io

Any feedback will be much appreciated.

I've joined this year's Flame Game Jam which uses the Flame Engine built on top of Flutter. This is my first game jam and I really hope I manage to submit the game before the deadline on Sunday.

Here's a link to the jam if anyone else is interested, and I recommend joining the Discord server too because the organizers and participants are really great and fun to hang around! - https://itch.io/jam/flame-game-jam-2026

I'm working on "context bonsai" which is currently a plugin for OpenCode that allows the LLM to self-edit its own context. It works like compaction, but it can retrieve back the compacted info if needed. And it's not just when the context is completely full, and it doesn't compact the entire context - it picks messages / tool calls where the details are no longer necessary, like a debugging session that is already solved or feature implementation that is complete and you've started on implementing the next feature.

I've also used tweakcc to make this work in Calude Code and plan to also do one for open source coding agents - codex, pi, Gemini, etc. And I'm also doing Livestreams of the development process.

https://github.com/Vibecodelicious/opencode

I've been working on Peachy, a framework for writing native Linux applications easier and faster with React and GTK: https://peachy-9b8f81.pages.gitlab.gnome.org/

Very WIP and no docs, but I hope it will be helpful someday

SEEKING WORK | Remote | AI/Full-Stack Engineering

We ship production AI backends for startups and agencies: • RAG pipelines (Pinecone, Weaviate, Supabase Vector) • Multi-agent systems (LangGraph, CrewAI) • Full-stack AI MVPs (Next.js + Python + Supabase) • Auth migrations & infrastructure hardening • Fine-tuning (OpenAI, Llama 3)

Recent: Trading platform auth migration (700+ users, zero downtime), IoT payment gateway, multi-agent cybersecurity monitoring.

Stack: Python, LangGraph, Next.js, Supabase, Pinecone, AWS Portfolio: sauravjain.dev Email: [sourishkundu22@gmail.com] Rate: $50-80/hr or project-based ($5-15K)

Still on time. It is almost two months now and this is such a deep subject and there are so many little tricky bits that I wonder if I will be able to complete the thing but there is still (slow) progress. I never suspected the amount of hard work that goes into building something that is stable at the nano second scale. But I'm becoming more appreciative every day ;)

MedAngle + MedGPT + MedAgent

All in the MedAngle Super App - literally everything a future doctor needs in one place. 100k+ users, 150m+ questions solved, tens of billions of seconds spent studying smarter

https://medangle.com

Still working on:

https://www.votivus.org

A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection. I've just shipped a small feature where you get a Bible reading (KJ only for now) in response to a prayer.

https://dugnad.stavanger-digital.no/

A pro bono tech consultancy for local (Stavanger, Norway) non profits. The idea is to help them use tech to better deliver on their mission. Last week I built a little bookmarklet for a non-profit to surface some of their data buried in a SaaS tool ... which will make their apple pressing operation easier.

Working on Functional Universe (FU), a formal framework for modeling physical reality as functional state evolution, integrating sequential composition with simultaneous aggregation.

https://voxleone.github.io/FunctionalUniverse/

I made a simple headless todo list to use it personally and within the team. Beside simple api surface I also implemented MCP and already been able to use it inside my AI editors. Ping me if you like to give it a try!

NotifyButton - A simple script on the frontend of your site, a complete SaaS platform on the backend for DSA compliance.

If you operate in the EU and want to avoid heavy fines, this is for you. Once integrated, it allows users to report legal content issues directly to you, which you can then manage via a dedicated dashboard following official EU procedures. Without such a system, users are much more likely to file complaints through official state or EU channels, which can trigger investigations.

https://notifybutton.com/

I've written my own version of OpenClaw, but it's cloud-first so no setup or install. An early release, but I think its pretty neat and I'd appreciate any feedback: https://gipity.ai

Nonograms! I built Nonodle[1], a daily nonogram puzzle game and I’m adding an option to access these puzzles from Nonoverse[2], my iOS nonogram app.

There is an API, and it’s a straightforward task, but one thing led to another and I’m also improving the app UI. The update will take some time but I hope it will only be better.

[1]: https://lab174.com/nonodle/

[2]: https://apps.apple.com/app/nonoverse-nonogram-puzzles/id6748...

https://gitlab.com/usecaliper/caliper-python-sdk

An LLM observability SDK that let's you store pre and post request metadata with every call in as lightweight an SDK as possible.

Stores to S3 in batched JSON files, so can easily plug into existing tooling like DuckDB for analysis.

It's designed to answer questions like; "how do different user tiers of my services rate this two different models and three different systems prompts?". You can capture all the information required to answer this in the SDK and do some queries over the data to get the answers.

I started working on Rio[0], a modern TypeScript HTTP client for Node.js 24+, Deno and Bun. It's built on the native `fetch` API and fully type-safe from request to response. It's still very much a work in progress but I'm working towards an alternative to fetch/Axios/ky I wish I had.

[0] https://github.com/carlos-menezes/rio

I've been working on an MQTT Broker/Topic tree explorer. It's intended to help someone understand what kinds of data are moving through their broker, what the busiest data is, and just generally be pretty. https://ryanbateman.github.io/mqtt_vis/

OSS, MIT licensed. Feedback welcomed!

Not a developer but have few ideas that I didn't pursue due to professional and personal responsibilities. One of them was a simple protein price comparison tool that allows me to find the value for money protein powder which is tested for label accuracy, heavy metals, amino spiking etc. I used to maintain an excel of my known brands and track which ones offered the best value without breaking my bank. I thought if I am looking for such data then there might be others like me. So I recently subscribed to Claude and was able to create a simple website from scratch. It's great that people can create their hobby projects so easily now.