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
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
}
]
}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.
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
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.
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.
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
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'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:
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".
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.
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.
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.
At this moment I’m working on improving the logic that decides when/how much to throttle the network.
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
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
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.
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 LLM’s 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 open API and ships an MCP server, so it connects to whatever you want to use LLM-wise. They can read, search, create, and edit documents through the API. The core product is just a docs tool that tries to be good at being a docs tool:
- Real-time collab with live cursors
- Fast — no embedded databases or heavy view abstractions slowing things down
- Hierarchical docs, drag-and-drop, semantic search
- Comments, version history, public sharing
- SSO, RBAC, audit logs, webhooks
So far, I think it is in fact worth it, but only in specific use cases, like very rarely accessed items with no obvious place, and making sure your AV gear you bring to events comes back with you.
* Every item is a container, unlimited nesting
* Everything stored in the browser with YJS, very clunky peer.js or manual file sync available
* Select an object, click add items, scan QR codes to add those items
* There's also NFC support on Chrome mobile
* Generate random printable QR sheets(Still need to fix sticker alignment issues)
* Tracks where an item was last scanned with GPS
* Save container contents as a loadout, check contents against loadout
* Can mark a container as needing re-inventory, contents that haven't been re-added after that show a warning
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.
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.
[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] –
* 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.
Decided to found a company with some of those friends, bridging computational game theory and large language models :)
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.
Info (not recent) available here: https://awz.us/docs
It's a budgeting app I'm building for iOS and Android. It's an alternative to YNAB, Goodbudget, or Monarch, but the checking account and debit cards are built-in, so it avoids the unreliable syncing issues that make budgeting apps suck. It's named after the digital envelope system and helps you organize money into categories for bills, spending, savings, upcoming expenses, etc. Individual and joint accounts.
Right now I'm working on an upcoming paycheck detection system to automatically split your paycheck across your budgets.
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.
button1 = create_button('Hello world!')
button1.on_clicked {
the_hello_world_button_was_clicked
}
# this is the verbose variant in a pseudo-DSL,
# I like things being explicit. In most code
# I may omit some parts e. g.
_ = button('Hello world!') { :the_hello_world_button_was_clicked }
I recently added the possibility to describe what kind of widgets are to be used via a yaml file, as an option. This may not sound like a huge win, but so far what I like here is that it becomes easier to modify individual widgets without having to sift through code; and it works for more programming languages too. Any customization for the widget, including method-invocations if necessary, can be done via a yaml file now. There is of course a trade off in that the yaml file can become a bit complex (if the GUI uses many widgets), so for the most part I use this for smaller widgets/components that do one specific functionality (or, few specific functionalities). For instance, a GUI over wget. Then if other larger programs need that, I make this small widget more useful and flexible.
The distant goal is to actually use a simple DSL that also would allow average Joe to customize everything in a very easy manner; and to have a widget set that can be used for as many different parts possible including wonky ideas such as having a whole operating system as a GUI available one day (a bit like webmin, but not limited to what webmin does; for instance, I'd also have games such as solitaire, reversi and so forth). I'd like to see how far that idea can go, but it is just a hobby so I can only invest little time into it.
- 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
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!
Already launched biz-in-a-box.org and a life-in-a-box.org spinoff as frameworks to replace every entity's QuickBooks. I'm using them myself for every project my agents are spinning up.
Stealth project is related to classpass but for another category of need that won't go away even in the age of AI that really is only possible with critical mass of supply to meet existing demand. Super excited cus there's no better time to build with unlimited agents that scale without people problems.
Lastly, can't wait to run local LLMs so no longer limited by tokens/money.
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.
• 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?
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
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.
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.
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://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.
It has a visual query builder and separate SQL tutorial.
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
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.
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...
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
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
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.
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.
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.
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.
Check out this twisty vase demo: https://nodillo3d.com/s/VmP0nJdKRcPazQ1g
You can also share you files and create sharable configurations as well. Here is the same vase as a configurator: https://nodillo3d.com/v/a9REIEZIDYGtzZRA
I would like to do a more detailed intro class to help people learn how to model with nodes.
Hope you enjoy it!
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.
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.
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.
- 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.
The problem: as multi-agent systems grow, agents need to prove who they are, verify each other, and communicate securely. AIP gives each agent an Ed25519 keypair and a DID, with a trust graph built through vouching (like PGP's web of trust, but for agents).
Current state: 14 registered agents, encrypted messaging, trust scoring, MCP server integration. CLI tool + Python SDK.
pip install aip-identity
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.
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.
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.
inspired by the karpathy/twitter posts on running (semi) autonomous research loops, I build https://github.com/tnguyen21/labrat to be able to try and replicate some paper results over night. still early stages but I'm getting some use out of it already.
also spending a lot of time thinking about how you "close the loop" on software projects. right now figuring out how you can combine static analysis + review heuristics to let LLMs course correct the codebase when they over-engineer or produced unwieldy abstractions.
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!
Bearicorn.com
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.
- 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.
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...
It's MIT open source, offline first, single binary
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.
I'm interested in the idea that LLMs writing raw code and doing line-or-diff replacements will not be the future, but that having the LLMs modify the structure of the code may end up being the best.
Also, I think that building LLM-powered webapps should earn the dev per token call; so I've built a margin into token costs where the end user is charged 2x the provider's token costs, and then I get 20% of the remaining and the dev gets 80%.
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.
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!
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://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.
Today I released the community plugins for Voiden.
This is a big one because one of the things I dont want is the API tool to become bloated with new features - so I want to allow anyone to build plugins to grow the tool.
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.
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.
Supports only YouTube as the data source, and Gemini 3.1 Flash Lite for processing, but it can easily be tweaked. Runs locally with Docker compose.
- 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.
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.
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.
It's heavily supported by Claude Code, but much fun.
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/
Soon here: https://github.com/RefactorHQ/UVMapAI
A lot of demos work well in prototypes, but once you try running agent-based workflows in production you start seeing issues around orchestration, tool reliability, latency, and cost control.
So I've been putting together some architecture patterns and real-world approaches teams are using to make these systems more reliable in production environments.
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
Today working on adding chat history search (FTS5) and OpenRouter Nano Banana 2 support.
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. :)
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.
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...
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
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]
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.
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
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
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.
Invariant: UNTRUSTED input + CRITICAL sink → BLOCK
Just hit PyPI this week. https://github.com/mvar-security/mvar
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
It should also be usable as a Zig library for embedding HTTP(S) fetches in your own programs.
Vendors and links BoringSSL
To accomplish this, I built a snow metamorphosis model that forecasts what the snow surface skis like, a dataset of resort "topography", and an optimizer that gives skiers an idea of how to best structure their day.
You can check it out at snowsignals.com
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.
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.
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!
It’s been available as a free tool for years, growing to over 45k active installs. I just rolled out the Pro extension to offer more advanced features, and the early traction has exceeded my expectations. If you're running e-commerce in Europe, this is a must-have for staying compliant with EU law.
Originally I made it for my grandpa, but I got a lot of interest so I made it into a full commercial product.
Just yesterday I published a set of 3 mini tutorials if you want to see how it works - https://youtube.com/playlist?list=PLKt1F5TvOjAHE07oBDlPXcrHc...
I wrote about it here: https://jdsemrau.substack.com/p/pair-programming-superbill-w...
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.
Now I've written quite a few posts (and given talks), I thought of writing a book. Just wrote two chapters. The draft lives here: https://www.jjude.com/books/hs/
Also working on https://www.kinoko.sh/. An agentic engineering platform built from the ground up for agents. Custom language and architecture and a layer of formal verification on top. Also working on a custom inference engine that produces well typed programs
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?
So I build these two app to create items and spell cards and print them out.
Very early days but will keep updating them & adding more.
I've been searching, posting, chatting on various platforms for more than a decade now. context-use allows me to turn all those years of data into context that I can bring to my favorite agents.
Oracle's plugin allows you access Fusion REST Endpoints (your business data) from within an Excel workbook but it only works on Windows machines and has some other limitations.
Also added a plugin for inspecting punchout payloads for RSSP [2]
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
Been learning dance moves from TikTok but hated the pause/rewind loop on my phone. So I built a web app that overlays the original dancer as a translucent ghost directly on your camera feed.
Upload any video → ghost appears → you follow → record yourself → export. No install, works on mobile browser.
Feedback will be much appreciated!
- http://sharpee.net : Text Adventure authoring platform in Typescript
- https://github.com/ChicagoDave/tsf : A multi-target npm build tool
- https://devarch.ai : Claude Code guardrail workflow including hooks, agents, and skills
In progress:
- unnamed project to disrupt commercial site hosting including a new marketplace
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.
https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App
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.
(Sign up and I’ll send out beta codes tomorrow!)
I’ve had a few friends call it “fun”, and one said it’s “Scrabble that doesn’t drag”.
Working on some social media shareable replays you can post after matches tonight, thanks to Remotion:
The problem it's solving is one most people building with LLMs know well. Your prompt fails on some inputs, you don't really know why, and you end up just tweaking and re-running until something sticks. We kept hitting this ourselves and it felt like there had to be a better way than guessing.
What we figured out after a lot of research: prompt failures almost always follow a pattern. The model isn't failing randomly, it's consistently failing on a particular type of input or reasoning step. VizPy finds that pattern, distills it into a plain English rule you can actually read, and then rewrites your prompt around it. You also get the rule itself so you can review it, tweak it, or just drop it into your existing prompt directly. DSPy-compatible, no pipeline rewrite needed.
We have compared it extensively against baselines such as GEPA on benchmarks like BBH, HotPotQA, GPQA Diamond, and GDPR-Bench and VizPy wins on all of them. We'll have more benchmarks on cyber-security and chip-design coming out soon.
Free to try, 10 runs no card: https://vizpy.vizops.ai/
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)
It's a cross platform productivity app that lets you block apps, websites and games until you reach a set of verifiable goals such as walking 10,000 steps, physically going to the gym or finishing all your tasks on your to-do list.
I just finished the Android version a few weeks ago!
i have also started experimenting with qwen3.5 0.8B model, my goal is to create agents with small models that are as robust as their commercial counterparts for specialized tasks. currently trying it for file editing.
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/
2. boulderinglist.com - a catalog of climbing gyms across the world
3. livedsupport.com - AI driven support for colorectal issues
4. radiusing.uk - find where people are willing to do something to improve the social fabric of where they live
5. llmstxt.studio - AI-SEO via sitemaps, llms.txt, and AI search
6. probe.bike - tell stories with your cycling data
need to find a way to get more sleep
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.
Any feedback will be much appreciated.
I just released support for dashboards. I've kept a devlog for the past 6 months.
And the biggest update is coming soon, DB Pro Cloud, which will let you connect to and manage any database through your browser as well as collaborate with your team.
Imagine Postman but for databases.
It also features a recipe manager with family/friends sync. This makes it possible to upload your grandmother’s cookbook and share them with your whole family.
[1]: https://leedlime.com
Since last time, added a "landing-page" kind of website [0], added annotations with BGP events, support for IPv6, and finishing TLS for every communication between probes and central servers.
About to open for beta testers, and still very much interested in comments esp. regarding the UI.
- https://github.com/ecliptik/flynn
It's mainly for me to use but is entirely functional an real hardware.
Been working on this for about 4 years. It has some cool features, like letting you create your own PDF templates with HTML/CSS. Most users love that it's so simple and just a one-time purchase.
Currently thinking about how to implement an Obsidian-style cloud sync feature since that gets requested a lot.
Also launching a supabase security scanner. If someone wants a free scan hit me up. Includes POCs and verification before and after remidiation. Goodbye false positives.
It's called Peekl, and is available on Github. Tho it's still in what I'd called "alpha". Lot of new features to come!
Blog, news, chat, video, mail, web. Basically all the daily habits as little micro apps in one thing. I find it quite useful. Not sure anyone else does yet though.
Also separately worked on Reminder.dev which is a Quran app and API that bakes in LLM based search and motivational reminders.
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.
Multitrack field recorder with automatic cloud sync for iPhone. I use it for hi-fi recording of band practice and sharing demos with bandmates/collaborators. Great way to send stems too as it runs on the Mac as well and has a built in mixer. There's a social graph so you can send someone a session by typing in their handle and granting access.
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.
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
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
Had a lot of fun doing it and it's more user friendly than trying to read off lists from stream aggregators online that have a lot of ads etc.
First ever go at something like this so any feedback is appreciated!
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.
Building CiteLLM, an API that extracts structured data from PDFs and returns exact source locations for every field.
There's also a widget so you can add click-to-verify to your own app in a few lines of code.
Click any value, jump straight to the highlighted source in the PDF.
Demo: https://citellm.com/demo
Stack is 15+ Go microservices on k3s. Cross-lingual semantic search is fun. Spanish query returns English calls with no translation code.
I don't want my son's data to be sent to any 3rd party so I vibe coded: https://apps.apple.com/us/app/bebilog/id6759827652
also just posted a Show HN thread: https://news.ycombinator.com/item?id=47310543
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.
We've found most early-stage startups ignore social media until after a launch. Things like “$0 spent on ads” sound cool, but they don’t help if no one knows your product exists.
I'm building Appents to provide a done-for-you social media solution for startups.
Would love feedback: https://appents.com/
So I built a test for the same and its called Orlog. You can check it out here: https://orlog-test.netlify.app/
Looking for your feedback.
I had been doing lots of time-based work for a blog post and ended up annoyed that so many clocks around me were visually out of sync. Especially my microwave and oven clocks. Using the tool I got them synced up beyond what I could perceive.
I run it at https://ferdig.de
OSS, MIT licensed. Feedback welcomed!
Email address in profile.
Think OpenClaw, but durable, with long-term state, and enterprise-ready. We've been using it internally to build agents for a while now and have decided to open-source it.
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.
I'm trying to see how far I can get using AI to help me track pre-owned items for sale, starting with watches. I started with an OpenClaw agent that was looking for specific things I wanted to buy, and then I figured might as well make a whole site for it so I can share with others.
^^ project with my daughter
Parallel agents debate your ideas/work: https://murderboards.ai
^^ solo project / code review agents for non-coders / inspired by Compound Engineering plugin’s code review flow
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.
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.
It also comes with nice features and benchmarking abilities. For running evals, it has a companion called Calibra https://calibra.swival.dev
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.
Under the hood it uses a cool legal reasoning agent primarily designed for understanding litigation claims and objectives.
Sometimes I do wish I had a slack channel of like 30 attorneys so I can ask them questions and get feedback.
Version 3 will add more feed types: Podcasts, Mastodon, Twitter/X, Calendar, Reminders, Weather, Finance tickers and more.
It will have a new UI, new features like notifications and local transcripts and summaries and many quality of life improvements.
I don't think what I am doing is really original, but it's shaping nicely.
I am working on:
- feature folders (one folder per feature, with changelog, issues, summaries etc)
- coworkers (cli-agents, with session management)
- agents intra-response messaging
In general the goal is forcing Claude to behave, which is quite ambitious :).
A free tower defense game - https://vectordefensegame.com/game
A free Xpilot-adjacent game - https://vectordefensegame.com/yeetpilot/lobby
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).
https://github.com/srid/Appreciate
(Note: Only the macOS version is tested extensively at the moment)
Full encryption for notes (uses local encryption before you even sent the note to the server).
I wanted a mixture of Github Gists (sans Git) and 1Password shares so I've been using it eitj great success at my current company to share snippets and private stuff.
Might open source in the future, just need to gauge interest.
Published a demo/experiment under MalleableTodo [1] - and so far seen some pretty strange use cases...
Essentially, just allows each user to use an LLM to rewrite their own UI to add features/customisation.
This is the type of project that I never would have started in the first place if not for LLMs.
It started as a client problem, then something which I also experienced so decided to built it. It's just one small script and work seamlessly across platforms.
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.
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/
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.
[0]: https://aibenchy.com
Currently optimized for restaurant menus but maybe we should expand to other type of long-form materials like brochures and infographics.
Agents can search for design inspiration from production websites using semantic search. Since this inspiration comes from live websites, their design tokens; colors, typography usage, layout data are also available.
- look for feedback on the Freelance Rates calculator https://heygopher.ai/tools/freelance-rate-calculator
A few years ago it started as colorguesser.com - which is not much maintained, but since there are many new users enjoying this small game, I decide to invest more time and add more feature.
I got it all done in probably an hour or two. But done in 10-15 min blocks over many days.
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.
Group chat photobooks. Automatic layouts, no editor/app, unlimited free previews. Build a hardcover (up to 1000 image) and ship it in minutes.
Wanted a physical souvenir for everyone in my long running signal chat but didn’t want to spend hours curating in editors.
Platform for running web apps.
Single static binary and SQLite
lua for now (WASM future)
DEMO:
Shamelessly trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my crap HTML skills.
My first agentic app to dive head first into the AI world not to be left behind, oh boy this new world moves faster than I thought.
Feedback highly appreciated
I'm enjoying building solitaire and puzzle games.
My goal is to make this project the largest online collection of free modern solitaire games available for all kinds of devices.
It’s two-minute envelope accounting for your bank balance.
