Ask HN: What Are You Working On? (March 2026)

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

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.

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

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

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
        }
      ]
    }

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.

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.)

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.

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

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'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...

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'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.

I work on a few products as an indie bootstrapper.

* https://theblue.social — TheBlue.social, provides Bluesky native tools

* https://stacknaut.com — Stacknaut, SaaS starter kit to build on a solid foundation with AI, includes provisioning on Hetzner, deployment with Kamal 2 and dev with coding agents

* https://codevetta.com — Codevetta, Architecture and code reviews service

* https://myog.social — MyOG.social, OG Image Generation Service

I've been planning a new idea with that and possibly future ideas based on the future (and near future) where there are more and more "agent" users.

Got delayed on my 8th anniversary release of Video Hub App - hoping to get it out in March / April. I have some bug fixes and new features in my app for browsing and organizing video files across local and network drives.

https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App

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.

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.

I’m working on a tool to automate manual document workflows, specifically for industries like manufacturing where accounting paperwork is still a manual burden.

The workflow: Upload doc → LLM extracts structured data → Generate new doc from template.

It’s API-first, includes webhooks, and is built to be self-hosted/self-provisioned for privacy. Still very much a WIP, but looking for feedback on the feature set and the extraction accuracy.

URL: https://fetchtext.io

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.

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.

I write quite a bit about books and papers I read. This ranges from contemporary work on privacy and machine learning to math, economics, and philosophy from the nineteenth century.

Several readers have asked for an easy way to get recommendations without working through long-form review articles.

Here's the first iteration of a simple recommender: https://bcmullins.github.io/reading/

When I discovered that some local llama.cpp can OCR PDF images generated by TeX, I started to revisit literate programming defined by Donald Knuth and explore using PDF as the source of truth artifact (instead of Markdown or program source code itself) for LLM to consume.

I only got to the point of having code and data as \verbatim in \LaTeX. Next step is CWEB.

Here is an example (with C and Rust code in \verbatim)

https://ontouchstart.github.io/rabbit-holes/llm_rabbit_hole_...

The ultimate goal is machine and human readable proofs on algorithms.

Been building https://textkit.dev/ for the past week.

It's a collection of 40 (and growing) tools for text processing, data cleaning, conversions, dev utils etc. Everything runs in the browser and is completely free.

Started this partly to learn SEO from scratch on a fresh domain, partly because i am lazy with regards to doing basic data cleaning using pandas and i found myself repeatedly using similar online tools that are completely riddled with ads.

I built this using Flask + Vanilla JS. I don't think there was any need to overcomplicate it. And for fun, i vibe coded a windows 95 desktop mode where all the tools open as draggable windows.

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've been building a little io style game since Christmas, it's been fun!

https://hovertag.io/

My kid played it, and didn't stop for 45 minutes so I think that's a win :-)

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

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!

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...

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 wanted a real native app (iOS/macOS) as a client for my agents and to be able to truly control / mange them from it. So, think Claude Code remote but not just Claude and a proper native app. Or the Codex app but actually native.

The server is a rust binary so you can toss it on any container/computer and connect to it in the app.

My philosophy isn't to replace my other tools I love like emacs, ghostty, etc. But I am taking a stab at "real time code review" and have some crummy magit-like code review built in that I need to revisit.

https://github.com/Robdel12/OrbitDock

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

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.

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?

Spent the last year expanding my homelab and now I have my own rack at my local DC with my own ASN and /23 prefix.

Its been pretty fun cosplaying as an network engineer, and now I'm building out an Anycast network for a few ideas that I'm working on.

Its nothing too revolutionary or new, but I'm proud that I've built them from ground up and all running on my own infrastructure.

- DNS Authoritative Hosting - https://thelittlehost.com/dns/ - Quietnet - A family-focused internet filter - https://quietnet.app

I'm also getting ready to launch https://relaye.io, which was my personal tool I built to support my devops consultancy.

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

A fully vibe coded python 3.14 interpreter in Rust: https://blueblazin.github.io/pyrs

Now at 350k lines. Native and wasm binaries (you can try the limited wasm version online). Currently adding a full CPython test suite benchmark.

Just for fun, not trying to replace CPython here. Mainly to test the limits of current coding agents.

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.

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 building open source homebrewing (as in beer) software at https://www.brewdio.beer. It's something I've poked at periodically for a few years but now I'm using AI to see how far I can take it.

It has a few core libraries built in rust with a web app and a terminal UI. Android app is in the works. The persistence layer is intended to be offline first using a CRDT with an optional sync server. I'm also trying to integrate "bring your own AI" assistants to help tweak recipes or make suggestions.

It's been a fun way to sharpen my claude skills but also to see how feasible it is to maintain multiple frontend applications with a large amount of shared code. Still a lot to do, particularly the core calculations are not yet on par with existing offerings.

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 am working on Voiden : Api client based on executable markdown !

Check it out here : https://github.com/VoidenHQ/voiden

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!

Still working bringing AI agents to Godot. We recently hit 1k MRR.

Product link: https://ziva.sh/

It's nothing big. I wanted an offline natural language to cron/cron to natural language translator and I wanted to get some experience building MacOS apps. It's not vibe coded, but I did get good help from Claude since it's my first time building MacOS apps. It's free and no data is collected.

https://cronwise.github.io/

Very much mvp but I just got this all set up: https://www.pginbox.dev/

Downloaded and parsed a bunch of the pgsql-hackers mailing list. Right now it’s just a pretty basic alternative display, but I have some ideas I want to explore around hybrid search and a few other things. The official site for the mailing list has a pretty clean thread display but the search features are basic so I’m trying to see how I can improve on that.

The repo is public too: https://github.com/jbonatakis/pginbox

I’ve mostly built it using blackbird [1] which I also built. It’s pretty neat having a tool you built build you something else.

[1] https://github.com/jbonatakis/blackbird

Last week I wrote the spec for a couple of vanilla JS https://danielgormly.github.io/primavera-ui/dnd/ that I've handwritten in the past. I used the spec to vibecode them + a few follow-up correction prompts. Honestly the robot did a better job of implementation than I would have. Just can't compete with the speed.

Very early days but will keep updating them & adding more.

Hi! My name is Pablo. I’m a Product and UX Designer currently working on Maxxmod [1], a browser extension that gives users more control over the YouTube interface by reducing clutter, removing distractions, and adding features the platform doesn’t offer.

I’ve already completed the research, business model, competitive analysis, feature set, branding, and the full UI (40+ screens).

The MVP/V1 is currently in development. When the V1 is ready I’m planning to do a Show HN with this account.

It's my first product. Any feedback or questions are very welcome, even if it's just based on the idea and the screenshots on the site, since the product isn’t available to try yet.

[1] https://maxxmod.com

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

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!

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.

It's still early, because I actually had some nice weather in the PNW, but looking at porting NanoClaw to use FreeBSD jails and ZFS snapshots. Why? I use linux because I have to - docker/docker images is what we are stuck with. For personal stuff - I prefer the BSDs.

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".

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

A bunch of things:

Jive Data: https://jivedata.com

Financial and Investing data

Random Data Monster: https://randomdata.monster

Random Data (also available as a Google Sheets Add-on)

WhatIsMyIPAddress.Monster: https://whatismyipaddress.monster

A clean website to get your IP Address. Also available as an API.

Phone Monster: https://phone.monster

Caller ID, but on steroids

I’ve been consumed by building https://emberdb.com https://github.com/kacy/ember over the last few months.

It’s a drop-in replacement for Redis written in Rust. Most if not all of your client code should work without issues. Outperforms in many areas and has more out of the box features like proto storage, raft/swim, and encryption at rest.

I’m pretty proud of it, and I hope you’ll give it a shot and open bug reports. :)

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.

I’m building an observability system that tries to surface answers instead of making people dig through huge amounts of raw telemetry.

The basic idea is that when one failure fans out across 20 services, you often end up with 20 alerts and 20 separate investigations, even though there is really just one root cause. I’m using distributed tracing to build a live model of how errors propagate through the system, and then exposing that context directly at each affected service.

Longer term, I want this to become a very high-precision RCA engine. Right now I’m looking to try it with a few early design partners that already have a lot of tracing data, especially OpenTelemetry or Datadog APM users. I'll love to chat with some folks who would be willing to try it out!

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.

Continuing my weekly newsletter about agentic coding updates:

https://www.agenticcodingweekly.com/

I've written and I'm now polishing and refining a tool for on-set data management for small to medium scale productions. I do Data Wrangling on the side and one of the hardest things to do is keep track of drives, backup jobs, and link them all together whilst knowing where everything is stored, who has what, how much data you have left, how much data you're going to use on the next scene given it's filmed on camera X using Y settings, and so on.

It's written in Golang and acts as a simple desktop app that creates a web server and then opens the site in your default browser. This way it's easily multi-platform and can also be hosted as a SaaS for larger production houses.

DesignFlo:

https://designflo.ai

Build enterprise grade applications (in Elixir) with AI the right way.

Secure. Scalable. Reliable.

Built based on a senior engineer's experience. Uses 10 years of battle-tested patterns, not just LLMs:

1. Uses algorithms over AI whenever possible.

2. No external library dependencies whenever possible.

3. Old school over shiny new toys. Use the right solution for the problem (Eg. SQL vs NoSQL).

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.

I've been on sabbatical (not on leave from anywhere, just decided to take a break from work) for months now, taking some time for myself. Minimal tech stuff until more recently, but now I'm back in the deep end.

The main thing I'm currently working on is a platform for organizing and discovering in-person events. Still not certain about the boundaries for "Phase 1", but I have a bunch of ideas in that space that I've been incubating for a while. One subset of features will be roughly similar to that app you've probably heard of that starts with 'M' and ends with 'p', but hopefully an improvement, at least for the right audience. But wait, there's more. :)

Currently building it; it's not public yet, so no link. Next month.

Thinking about how to grow the userbase is intimidating, but I think it might end up being fun.

A developer tool that lets you (or your coding agent) understand how users will experience your AI product before you ship it.

An automated file system handler, similar to Hazel[1].

I want to treat my Downloads folder (or some other one) like an "Inbox" where I can just dump everything, and then the program knows where exactly in my (Johnny Decimal) file system the file should land.

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

Working on a chat app/server and protocol builder to support it, in an attempt to use as little network as possible (e.g. dial-up should work fine).

It's heavily supported by Claude Code, but much fun.

https://superchat.win/

Actually not built on this yet I think, but I could switch over, haven't made anything more of it since it's still a bit rough around the edges, and I keep finding various issues during actual usage: https://binschema.net/

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’ve been working on an open source tool that turns your Kubernetes into a Heroku like PaaS — https://canine.sh — for about two years

A problem that we had at my last startup was that we got stuck between not wanting to spend too much time on devops, and getting price gouged by Heroku.

We were too big for the deploy to a VPS type options like coolify, but too small to justify hiring a full time Devops.

Eventually a few of us had to just suck it up and learn Kubernetes properly. Was pleasantly surprised how elegant it all was.

I was surprised there wasn’t something that “just worked” and plugged into our Kubernetes cluster, made it user friendly, teams, roles, etc.

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.

I've been reworking my blog to have a table of contents per article, clean CSS (something that actually looks nice and no longer relies on Bootstrap) and a few other nice things. Also taking the opportunity to fix minor errors in previous posts.

Aside from that, I need to document and properly release one of the pieces that PAPER is relying on (some generic tree-processing code that makes operations on directory trees a lot nicer than with the standard library "walk"s), and work on others (in particular, a "bytecode archive" format for Python that speeds up imports for some projects, mainly by avoiding filesystem work at import time — I want to offer it as an install-time option in PAPER, and later have `bbbb` make wheels with the bytecode precompiled that way).

I'm teaching a class in agent development at a university. First assignment is in and I'm writing a human-in-the-loop grader for my TAs to use that's built on top of Claude Agent SDK.

Phase 1: Download the student's code from their submitted github repo URL and run a series of extractions defined as skills. Did they include a README.md? What few-shot examples they provided in their prompt? Save all of it to a JSON blob.

Phase 2: Generate a series of probe queries for their agent based on it's system prompt and run the agent locally testing it with the probes. Save the queries and results to the JSON blob.

Phase 3: For anything subjective, surface the extraction/results to the grader (TA), ask them to grade them 1-5.

The final rubric is 50% objective and 50% subjective but it's all driven by the agent.

I am working on creating an Even Driven Architecture framework for Kotlin.

I went through the Software Architecture Patterns for Serverless Systems book, which I think it is fantastic. I learned a lot but I still had a lot of doubts to actually use the ideas in real life. So I started dissecting the companion framework, which is in written in Typescript. I have been going piece by piece and converting to Kotlin which I think it is more expressive (and fun) and it is allowing me to understand how everything fits together.

Typescript framework: https://github.com/jgilbert01/aws-lambda-stream

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/

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.

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

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://offmetaedh.com

Art search for magic cards

A developer tool that lets you understand how users will experience your AI product before you ship it.

I’m working on a Free and Open-Source Invoice Generator: https://easyinvoicepdf.com

- No sign-up, works entirely in-browser

- Live PDF preview + instant PDF download

- Flexible Tax Support: VAT, GST, Sales Tax, and custom tax formats with automatic calculations

- Shareable invoice links

- Multi-language (10+) and 120+ currencies

- Multiple templates (incl. Stripe-style)

- Mobile-friendly

- QR Code Support: Add payment QR codes with any invoice-related information (payment links, UPI, contact details, custom data)

- Multi-Page PDFs: Seamless multi-page support with automatic pagination and page breaks

GitHub: https://github.com/VladSez/easy-invoice-pdf

Would love feedback, contributions, or ideas for other templates/features.

PS: e-invoice support is wip

Data extraction: https://simplescraper.io

A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html').

Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402[1]

[1] https://simplescraper.io/blog/x402-payment-protocol/

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...

Multiplayer tactical shooter inspired by id tech 3 era, using Godot.

More movement than CS, less than quake

Focused on infiltration mode - one team stealing a briefcase back to base with the other on the defense

Devlog: https://bsky.app/profile/lumi4x.bsky.social

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

Selecto, an elixir SQL query library that works with or without Ecto. Also SelectoComponents which gives you a web interface to build queries.

It is based on 20+ years of experience maintaining a similar system in Perl.

It's on Hex.pm already, looking for people to test and comment!

As Codex would say:

Selecto is an open-source SQL query builder for Elixir that helps you generate complex queries from clean, domain-based configs. It supports advanced joins, CTEs, subqueries, and analytics-friendly patterns, with companion packages for LiveView interfaces (selecto_components) and code generation (selecto_mix). If your app is data-heavy, Selecto gives you SQL-level power without brittle hand-written query strings.

Making my own epub reader with the kitchen sink of features I'd like. It's a speed-reading app first and foremost, using RSVP (rapid serial visual presentation, one word at a time). Also answers questions about the book with an LLM without spoilers, and can create illustrations. I've been reading _Mercy of the Gods_ lately, which has vivid descriptions of a bunch of alien races, but the pictures have done a great job supplementing my imagination. I've read more books in the past month than the last year, but we'll see if I keep it up.

https://github.com/achatham/epub_speedread

I've been migrating my projects from Dagger to Bazel. It's... slowly making progress. Claude really wants to take shortcuts and I've never used Bazel before.

https://github.com/shepherdjerred/monorepo

Currently working on C++ DirectX12 graphics engine of my Engineering / CAD software. Part of my Mission Vishwakarma 2035.

https://mv.ramshanker.in/

Github: https://github.com/ramshankerji/Vishwakarma

Working on...

- Portable Secret (https://alcazarsec.github.io/portable-secret/) - self-contained HTML files that decrypt in the browser.

- Dead Man's Switch (https://alcazarsec.com/deadmanswitch) - sends messages when you stop checking in.

- Flare (https://alcazarsec.com/) - silent alert when your device is accessed without authorization.

Testeranto - The AI powered BDD test framework for polyglot projects. There is a implementation now in ts, golang, rust, ruby, java and python. Add the language(s) that you need to your project and launch the server. Testeranto will run your BDD tests in docker and produce a set of results and logs. These logs, test results and your code are fed into an LLM, which fixes your tests for you. In essence, you write the tests and the LLM fills in the code.

AM3 - (Allied MasterComputer or Artificial Mind, version 3) - An attempt to make a symbolic AI that approaches the capacities of a LLM. An LLM makes variations on the same code and schedules those variations to play in "games". The results allow the LLM to make further changes.

Writing the release announcement for FreeBSD 14.4! The release is ready (aside from propagating to mirrors and clouds) but I have until 2026-03-10 00:00 UTC to get the announcement email ready to go out.

Lately I’ve been spending a lot of time transitioning from tech into urbanism and working on a few projects I care deeply about.

- Urbanism Now - I run https://urbanismnow.com, a weekly newsletter highlighting positive urbanism stories from around the world. It’s been exciting to see it grow and build an audience. I'm thinking of adding a jobs board soon that'll be built in astro.

- Open Library - I’ve been helping the Internet Archive migrate Open Library from web.py to FastAPI, improving performance and making the codebase easier for new contributors to work with.

- Publishing project - I’m also working on a book with Lab of Thought as the publisher, which has been a great opportunity to spend more time working with Typst.

These projects sit at the intersection of technology, cities, and knowledge sharing, exactly where I’m hoping to focus more of my time going forward.

We're pivoting our growth agency to be "AI-Native" this quarter. Getting everyone on the team to begin their tasks with "let's instruct Claude to do this" rather then themselves.

Lots of this is going to involve getting people more up to speed on CS, can't wait.

https://approximated.app

It makes connecting user domains to your app easy and reliable at any scale. Each Approximated user gets the own globally distributed, managed cluster of servers with its own dedicated IPv4 address. Includes (unlimited) edge rule features, DDoS protection, webhooks, and more. Make a simple API call, tell the user to point an A record at the IP, and it’s connected to your app with its own SSL certificates.

Built/building with elixir and phoenix, which has been fantastic.

Project, Time, Expenses, Invoicing and Quoting app. https://heygopher.ai

- look for feedback on the Freelance Rates calculator https://heygopher.ai/tools/freelance-rate-calculator

I’ve been working on an RSS reader for macOS and iOS - https://gmnz.xyz/projects/ember-feed/

It has gained a little traction in Reddit and grateful for the several paying users currently giving me lots of feedback. One of the features is that you get to import your own font using any otf, ttf files. App is 100% native too written in SwiftUI, AppKit and UIKit.

I just wanted my own interpretation of an RSS Reader app, I have been a heavy user of both Reeder and NNW but the interface is just the same and I got bored a lot.

A proxy server to give my agent access to my Gmail with permissions as granular as I like. Like can create filters to custom label but not send to trash. As my inbox is at 99% due to years of zero discipline giving my email out to every company on the web :)

Creating my own models in Blender for 3D printing. Currently creating replacement wings for a hummingbird whirligig yard decoration that broke a couple years ago. It’s a sentimental gift and I’ve hated the idea of throwing it away.

Physical engineering is a huge welcome transition for me from what coding has become in the last couple years.

There’s something nice about the realities of creating a model, then printing it, then seeing that exact is too exact, then reprinting, then eight more times, and then that feeling when it all comes together properly.

A few weeks ago I was working on an adapter for an airbrush to use on a standard pancake air compressor. Learning to create threads in blender was really neat! I learned a lot about the physical construction of threads, something I have never put much thought into before.

I built a lightweight (<1mb) chrome extension (with over 600,000 downloads) that lets you chat with page, draft emails and messages, fix grammar, translate, summarize page, etc.. You can use models from OpenAl, Google, and Anthropic.

Yes, you can use your own API key as well.

I'm thinking about how to maximize the speed, bandwidth of collaboration with agents and teams to get to shared context as fast as possible. I think for the human, based on biology, its visual into to the human (out from agent) and voice out of the human (into the agent). Based on this, we are working on a local, agent-native workspace where you can collaborate with your coding agent visually in your sessions, markdown, mockups, code, tasks, etc... Called Nimbalyst. Would love feedback on it.

I am working on a SSL certificate monitor. It comes with its own probe that can scan your private infra and collect the certs for monitoring. It also has a web interface for monitoring SSL certificate of any public domain. There are a few chinks here and there. Hope I can get it over by this month.

https://www.certgorilla.com

I built a daily puzzles site at https://dailybaffle.com, and I'm working on promoting it and releasing the mobile app for it this month. Turns out it's a lot of work to promote things!

I'm working on Rauversion https://github.com/rauversion/rauversion, an open platform for independent music communities that combines music publishing, events, and marketplace tools in a single place. Artists can upload tracks, albums, and playlists with metadata, audio processing (waveforms, analysis), and embeddable players with chunk-range loading to save bandwidth. It also includes ticketing for events (QR validation, Stripe payouts), streaming integrations (Twitch, Zoom, etc.), a magazine system for publishing articles, and a marketplace to sell music (digital or physical), gear, merch, and services. The goal is to give underground scenes a self-hosted infrastructure for releasing music, organizing events, and sustaining their communities.

I’ve been working on the last months on Leggen (https://github.com/elisiariocouto/leggen), a self hosted personal banking account management system. It started out as a CLI that syncs your bank account transactions and balances, saves them in a sqlite database and can alert you via Telegram or Discord if a transaction matches a filter. It is now a PWA and uses Enable Banking to connect to the bank accounts (it is free for personal use AFAIK). Started hand-made, it is now mostly vibe coded with supervision.

Ive been running with this little ongoing project of making little nintendo ds games with rust.

I put together a pretty basic portal clone. I think its pretty cool to see it come together, animations, level creation, portal jumps.

The basic hardware on the ds makes 3d pretty approachable. Ive found opengl overwhelming in the past. It seems like a fun platform to make games on, but idk if there is any active ds homebrew communities. Anyway sharing because i thought it was cool, hard to find anyone that seems to be to interested. I thought about getting a 3ds but they are surprisingly expensive now

It's a personal project, but inspired by OpenClaw (which I find way overhyped), I am building an ambient intelligence layer for investment finance including a 3-tiered memory architecture, sensors (for environment scanning), skills, reasoning agents, and a new agentic UI concept only for that purpose.

I wrote about it here: https://jdsemrau.substack.com/p/pair-programming-superbill-w...

working on a text game engine similar to Evennia: https://github.com/electroglyph/atheriz

I've been building high-bandwidth memory streaming interfaces for HBM on VCK5000 & U280 FPGAs in my own language - "SUS".

The goal is to get consistent synthesis to 450MHz such that I can use a narrower 256-bit instead of a 512-bit interface, while maintaining full bandwidth. I've got it working at an FMax ranging 440-490MHz, though there's still some edge cases I need to hammer out.

https://github.com/pc2/sus-xrt

https://github.com/blue-monads/potatoverse

Platform for running web apps.

Single static binary and SQLite

lua for now (WASM future)

DEMO:

https://tubersalltheway.top/zz/pages/auth/login

RateRudder: https://raterudder.com

I've been working on a solution to automate solar+battery use to arbitrage the market. I'm on a real-time utility plan but even if you're on TOU it can save you $1+ per day by strategically planning when to use the battery and when to conserve or charge the battery. So far it's limited to a few providers and only FranklinWH batteries but I'm eagerly looking for someone to help me get Powerwall support working and other ESS. It's open-source on GitHub as well.

I’ve been working on an rss, atom, json feed reader app that strives to make it a simple as possible to isolate what articles are meaningful for you.

For now it uses UX patterns to make it easy to remove uninteresting articles and keeps a record of your read and saved articles. All locally of course.

I’d like to make it into something we can share quality content with one another eventually. For now I’m focusing on making it good enough my entourage will want to use it

Goofy sideprojects:

https://dnsisbeautiful.com - clean, ad free dns lookup tool.

https://evvl.ai - combination of Github Gists and AI output comparisons (evals)

https://finalfinalreallyfinaluntitleddocumentv3.com/ - free mac app to intelligently rename any kind of file (photos, videos, audio, text) based upon their contents.

https://fitcal.app syncs Strava activities to your Google calendar. No fancy features, just does what it says on the tin. Really fun to build out with elixir + phoenix.

When training I like to have every day mapped out with how many miles to run, at what pace, etc as an event in my calendar. My actual workout gets uploaded into Garmin and Strava, but I always wanted it back in the calendar so I could see at a glance the consistency over time. It's been really fun to see other people use and get value out of something I built for myself.

https://pagewatch.ai/ - make sure LLM's can understand your site.

There is a surprising amount of edge cases that can cause ChatGPT or others to misunderstand your pages. Some models can handle div based tables, some want alt tags but cannot understand title tags, etc.

I built the tool to check your site as close as possible to what a human would see and then compare it with LLM's.

It was a weird journey trying to tease this info out of the models, they will happily lie, skip checking sites or just make things up.

SocialProof (https://socialproof.dev) – a tool that helps service businesses collect written testimonials from happy clients via a shareable link.

The insight: the friction in getting testimonials isn't that clients don't want to help – it's that a blank "leave a review" box produces mediocre one-liners. SocialProof guides them through structured questions ("what was your situation before?" / "what changed?") so you get a compelling before/after narrative automatically.

Free tier: unlimited testimonials. Just launched and looking for feedback from anyone who deals with client testimonials.

I'm learning how to train transformer models locally to do useful work instead of having to pay for claude. I regularly update my blog here https://seanneilan.com/posts

I wanted to build a landing page for my gf, but since LLMs make it so simple I'm building SaaS for Psychoeducation.

Modifications to my Land Cruiser j90

- LED daytime running lights / off-road LED light bar

- Winch

- Front left – tie rod end (both)

- Rear axle – pinion bearing (loud while driving)

- Right rear brake caliper – brake fluid leaking from the piston

- Boost chip (chip + turbo tee), Kill switch

Puzzleship - https://www.puzzleship.com/ It's a daily puzzles website focused on logic puzzles at this moment. I have about 90 subscribers, and it's online since Dec/25.

A context management system that keeps your docs synced to your code and gives LLMs a way to navigate docs easily: https://github.com/yagmin/lasso

Deep link now ( https://Deeplinknow.com ) - deferred deep linking for developers / people who dont want their links blocked by adockers because Branch/Appsflyer et al are actually under-the-hood cross platform ad tracking services.

I do no tracking, no analytics, just help you cross the airgap between web and mobile app so you can send users to the right place (and track them however you deem necessary)

Health.md - https://healthmd.isolated.tech/

Export your Apple Health data directly to Markdown files in your iOS file system.

Open-sourced it at https://github.com/CodyBontecou/health-md.

Fun little vibe-coded app that has made a lot of users happy.

I’m working on Green Tea. A open source note app built on Pi agent framework. Basically gives you the power of a coding agent harness for knowledge work in an electron app.

No accounts required, all data is yours and lives on your computer.

Check it out: https://greentea.app

Developing this idea of a ClaudeVM and that being the future where we just write literate programs of Englishscript that run directly on the VM and eliminate this code compilation steps entirely.

https://kerns.ai/ - Get answers to questions with citations, visualize papers/books/reports.

Wondering if there are other similar tools out there which people love, and why ChatGPT/Gemini/Claude won't let you do the same in their native apps.

AI-proof careers leaderboard

https://www.ai-proof-careers.com/

Super annoyed by the "AI will take your jobs" hysteria, so I pulled BLS data and analyzed talks by AI researchers and a few industry folks, and ranked 900+ BLS jobs by AI resilience.

The best agent framework: https://github.com/fugue-labs/gollem

Making rent as an open source developer.

Shamelessly trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my crap HTML skills.

https://brynet.ca/wallofpizza.html

We've been building Doodledapp, a visual node-graph editor for Solidity (Ethereum). It's been really exciting to work on something genuinely interesting.

https://doodledapp.com/

usm.tools https://usm.tools/public/landing/ - platform that allows defining services (the organizational kind) as data, allowing different stakeholders differemt views on them. For instance somebody participating in a service delivery can see how they contribute to it

Arch Asxent https://github.com/mikko-ahonen/arch-ascent - tool for analyzing large microservice networks with hundres of microservices and creating architectural vision for them, and steps to reach the vision

TypeQuicker (https://typequicker.com) - personalized and engaging typing application.

Anyone can learn to type fast - I think it just takes the right tools to make it interesting enough for the users to use daily

https://github.com/computerex/dlgo

Golang inference engine from scratch that can run a bunch of models with vulkan acceleration.

mock, an API creation and testing utility. Any feedback is welcome.

https://dhuan.github.io/mock/latest/examples.html

A prompt injection solution that seems to benchmark better than any other approach out there, while not using hard-coded filters or a lightweight LLM which adds latency.

Trying to get into learning more about Hardware Security Modules and PKCS#11

After reading Sebastian Aaltonen's No Graphics API blog post [1], now I'm working on implementing the suggested API using Metal 4.

Also I gave that blog post to Claude Code and asked to implement the API and it made terrible terrible mistakes. Just saying.

[1] https://www.sebastianaaltonen.com/blog/no-graphics-api

Trying to solve source control collaboration for agents across dev teams to preempt merge conflicts pre-commit

https://www.personalreach.ai/

Automated personal outreach app for job seekers, integrated with Gmail.

A lightweight web-based RSS reader to use on my Kindle.

https://github.com/adhamsalama/simple-rss-reader

learning how to fine tune image models, for an attempt at getting diffusion to output LWIR fire mapping data from RGB picture images

so far, ive spent a lot of manual time labeling and matching RGB and LWIR images, and trying to figure out first ways to get better pose matches when the flights arent the same.

that, and many different attempts at getting torch to work using my laptop's GPU and NPU. i think im close, without having to build torch from source woo.

Ive been having an eye towards getting better llm generation quality for python too, but havent put a focus on it yet. im fed up with it making one off script after one off script and instead of just making a react app, making some raw html and making a new html file with the new and old bugs every time i want to do something interactive. its maddening.

my last month of gettin claude code ro play pokemon webt well and ive about learned skills pretty well now, but it keeps wanting to do like a challenge run of sticking with a single pokemon.

A few things.

I've been on/off working on a Forth compiler for the NES. It will be open source soon enough but I'm not happy with the code right now as it's extremely messy, repetitive, and buggy, but I think it's turning out ok. I am resisting the urge to use Claude to do all the work for me, since that's depressing.

I've also been working on a clone of the old podcasting website TalkShoe. It's nothing too complicated. It's mostly an excuse to learn a bit more about Asterisk and telephony stuff. I'm hoping to have something fully usable in about a month or two.

I forked the main MiSTer binary due to some disagreements I had with Sorg in how he's running things [1]. My fork was largely done by Codex and Claude, but the tl;dr of it is that it has automatic backup of your saves, tagging and versioning of your saves, and it abuses the hell out of SQLite to give better guarantees of write safety than the vanilla MiSTer binary gives you. I've been using it for a few weeks now and it seems to work fine, and it's neat to be able to tag and version saves.

I think that's mostly it. I'm always hacking on something so there might be a straggler there.

[1] https://github.com/Tombert/Main_MiSSus/blob/master/README.md

I'm building a zork-like dungeon explorer for vibe coded projects. Ok, the zork interface is not that important, but it adds an extra layer of fun, and does reflect the reality of how I dig through a codebase to understand it. You start at the entry point and start exploring each code path to build a map of what is going on, taking notes as you go, and using tools if you're lucky to get a sense of the overall structure. You can also go up and down a level of abstraction like going up and down a dungeon.

It incorporates also complaints from a static analyzer for Python and Javascript that detects 90+ vibe slop anti-patterns using mostly ASTs, and in some cases AST + small language models. The complaints give the local class and methods a sense of how much pain they are in, so I give the code a sense of its own emotional state.

I also build data flow schematics of the entire system so I can visualize the project as a wire diagram, which is very helpful to quickly see what is going on.

Against my better judgement, I'll post this landing page to a tool I'm working on:

https://wasm-drydock.dev

About an hour ago I was dismissed as AI slop on the r/rust Reddit. Whatever.

This tool is my line of defense in case `trunk` goes dead, which it seems to be increasingly likely. It helps me build fullstack sites using Actix Web and Yew.

Using it now to see if I can re-invent my blog site for the umpteenth time. :)

I've been working on an online catan alternative. Play at https://sokataan.io I'm using expo and spacetimedb.

# My over-engineered console.log replacement is almost API/feature-stable: https://github.com/Leftium/gg

- Named `gg` for grep-ibility and ease of typing.

- However Claude has been inserting most calls for me (and can now read back the client-side results without any dev interaction!)

- Here is how Claude used gg to fix a layout bug in itself (gg ships with an optional dev console): https://github.com/Leftium/gg/blob/main/references/gg-consol...

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# I've been prototyping realtime streaming transcription UX: https://rift-transcription.vercel.app

- Really want to use dictation app in addition to typing on a daily basis, but the current UX of all apps I've tried are insufficient.

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# https://veneer.leftium.com is a thin layer over Google forms + sheets

- If you can use Google forms, you can publish a nice-looking web site with an optional form

- Example: https://www.vivimil.com

- Example: https://veneer.leftium.com/s.1RoVLit_cAJPZBeFYzSwHc7vADV_fYL...

- DEMO (feel free to try the sign up feature): https://veneer.leftium.com/g.chwbD7sLmAoLe65Z8

We're building a new CRM from the ground up. We've helped a handful of companies and non-profits set up CRMs and it's amazing how bad existing CRMs are. It's like they don't understand what common day to day tasks need to be made as easy as possible.

We're also trying to use AI more thoughtfully than just bolting on a chatbot. We're planning to consider each workflow our customers need and how AI might help speed them up - even letting them build custom AI workflows. I think most businesses (especially smaller businesses) don't want to work at the level of Claude Code, Codex, etc. They want to work on higher level problems - build this dashboard, connect these data sources, invoice this customer, etc.

Aside from that, we've noticed that the basics really matter, so we're trying to nail that first.

We're definitely a bit delusional, we're just 3 people, we're doing it without funding and the competition is stiff, but we really believe in the product. Additionally, I think a lot of CRMs go south by taking on too much VC that naturally pushes them to prioritize ROI instead of continually improving the product.

A semantic search engine for urban dictionary to be able to search for stupid phrases that the youth keeps redefining

Problems I'm having: - Getting enriched vectors because the definitions to some of the words are absolute garbage - Finding a good open source embedding model, currently using nomic-embed-text

Goal: Find me words originating from X city and it not giving me results that match X

org-babel for neovim, using markdown instead of org as the file format.

Opensource Toast alternative for restaurants

I posted another comment about my main project, but on the side, I'm working on an ergonomic local sandbox management tool. Yes, for AI agents, but also for anything else. Crowded space — there's one at the top of the homepage right now — but at the very least it'll work the way I want it to. Currently dogfooding that; if it gets decent I'd likely open-source it.

Also a bunch of other smaller projects and ideas.

I'm building the best ebook reader you'll ever find. Supports all devices.

https://merrilin.ai

I am hauling junk in Silicon Valley: https://650hauling.com

Growth hacking tool on X platform,

https://xrayfeed.deepwalker.xyz

https://codeinput.com - Currently working on a comprehensive CODEOWNERS solution. Check out the CLI @ https://github.com/code-input/cli - Chrome Extension @ https://chromewebstore.google.com/detail/code-input/fehfhejp... and VS Code extension @ https://marketplace.visualstudio.com/items?itemName=codeinpu...

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