alt Hacker NewsAsk HN: What Are You Working On? (March 2026)
What are you working on? Any new ideas that you're thinking about?
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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.
I'm building a distributed key-value store as part of my university project.
I am creating AI coding framework (a set of skills and scripts, really), since it seems a lot of them don't support copilot.
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 :).
Writing (https://www.metanoia-research.com/). A multi-year project but one I have needed to start for much longer. Publishing one essay per month.
Finishing up the last touches to release: https://getkatari.app/ my japanese immersion app
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
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’m building an application for documenting modular patches, mostly for my own use case. It uses ML to recognise the patch points, knobs and toggles from a photo of the front panel. You can then build racks from the scanned modules and then store presets of the knobs and connections which are displayed as simple schematics. Idea is ultimately to have it on an iPad as reference to accompany a live performance. Had some fun fine tuning the cable physics engine.
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
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
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.
Still working on my network monitoring tool.
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.
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 recently playing around with using LLMs and the promise of malleable software.
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.
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.
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.
Codeboards https://codeboards.io - Codeboards connects to GitHub, Stack Overflow, LinkedIn, and HuggingFace to generate a professional developer profile that updates itself. Your commits, contributions, and reputation — finally in one place.
Letterboxd for live events. Currently a waitlist system in place, and we're very UK-focussed.
The long-term plan is to build a really enthusiastic community and then become a primary ticket seller.
I am building a command line package manager for AI models. It’ll make installing and running models locally incredibly easy.
Checkout: https://llmpm.co
Working on improving AI Nexus - my custom LLM frontend that exposes all AI Models in a single interface: https://getainexus.com/
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.
I am working on ways to measure cognitive performance throughout the day and the impact of supplements or activities that supposedly help
Building Universal mobile devtool — control iOS Simulators, Android Emulators, and real devices from a single dashboard and CLI
GitHub: https://github.com/pranshuchittora/simvyn
Do give it a try, Thanks!
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
a general-purpose mobile agent, trying out on SLMs that work on phones. In case there's no internet.
Multi region AWS is the flavor of the quarter or half - for projects that were not terra formed.
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.
JetSet AI (https://bit.ly/4besn7l) — flight search in plain English instead of the usual date-picker maze.
Type "cheapest flight from London to Tokyo, flexible on dates in April" and it returns live results with real pricing. I compared a few against Google Flights and they matched. Not mocked data.
The part I found interesting: it runs on a dedicated VM so it keeps context across the conversation. If you say "actually make that business class" or "what about flying into Osaka instead" it knows what you were looking at. Most chat-based search tools lose that between messages.
I didn't build it from scratch — it's a pre-built app in the SuperNinja App Store that I deployed and have been extending. The deploy itself took about 60 seconds. The extending part is what I've been spending time on: describing changes in plain text and watching them go live without touching a repo.
Still figuring out what the right UX is for flexible-date search. Curious if anyone has opinions on that.
Atomically precise manufacturing. We are perfecting a method for 3D printing silicon & diamond atom-by-atom, with every atom bonded where you want it. At small scales this gets us precise nanophotonic and quantum devices with precisely placed defect centers in silicon. As we scale, we will bootstrap full molecular nanotechnology including replicative scale-up to industrial levels.
Email address in profile.
jsonmaps.dev its a way to create maps and create storytelling maps that you can embed in your react application, I was quite tired of how AI wasn't able to generate reliable maps in my applications.Every map library has its own imperative API and the AI output was always broken, hallucinated, or unmaintainable with so many different formats that you can put on the map.
The story map part came out of wanting to build Mapbox-style scrollytelling easily. You define chapters with a camera view and content, and it handles the scroll-driven camera interpolation.
Stack: MapLibre under the hood, React, published as an npm package.
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.
I am building a better console.log, for humans and agents
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.
Balance Buckets helps you set aside money for the things you care about.
It’s two-minute envelope accounting for your bank balance.
Building Bloomberry to help sales teams find companies that use any technology or SaaS product.
Example: Slack: https://bloomberry.com/data/slack/
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://archigraph.ai/ An architecture-level agentic IDE.
Hi. Garry. I hope you’re doing well. I wanted to briefly introduce myself.
I’m a Senior Full Stack Engineer with over 8 years of experience building and scaling production systems using Node.js, TypeScript, React, and Python. I’ve worked in remote, product-focused environments where I’ve led architectural improvements, including migrating a monolithic system to microservices, reducing deployment time by around 50% and improving scalability and reliability.
I’m comfortable owning features end-to-end — from system design and API development to deployment, performance optimization, and production support. I’ve also implemented CI/CD pipelines, improved database performance (PostgreSQL), and contributed to cloud-native infrastructure on AWS using Docker and Kubernetes. In addition, I’ve worked on AI-driven workflows and LLM integrations for modern product capabilities.
I’m currently exploring new remote opportunities and would love to connect if you’re building or scaling a product where strong backend architecture, clean execution, and ownership matter.
If it makes sense, I’d be happy to schedule a short conversation. Thank you.
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
A 16×16 multiplication table that encodes quoting, evaluation, branching, recursion, an 8-state counter, and IO — all as lookups in the same table. 83 Lean theorems, zero sorry. The project asks: can a finite algebra with a single binary operation be forced by axioms to contain its own representation layer? The answer is yes. Axiom-driven SAT search finds the constraints, Lean verifies the witness. I should be upfront: Claude wrote most of the Lean proofs and Z3 search scripts. My role was the ontological framework, the axiom design, and deciding what to search for and why. The AI-human split was roughly: I provided the "what should exist and why," Claude provided the "here's the code that proves/finds it." Every Lean theorem compiles independently regardless of who typed it. Universal results (hold for all satisfying algebras, not just this table): every model is rigid, judgment and synthesis provably cannot commute, and the tester's acceptance partition carries irreducible information that structure alone can't determine. The specific table fits in 256 bytes and can be recovered from a shuffled black-box oracle in 62 probes. https://github.com/stefanopalmieri/Kamea
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.
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.
EasyAnalytica.com It lets you view all your dashboards in one place. Dashboard creation is a 3 step away, point to a file, confirm ds, choose template and done. Supports csv/json files, locl/remote url, Google sheets and api's with bearer auth.
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.
I was exploring a spec development system (similar to the likes of openspec) but with specifications that are more succinct. One of my frustration with openspec is the number of files that are generated from the proposal, to the design and implementation.
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’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.
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.
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’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.
Completed:
- 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
Started on making my own AI model benchmarks and leaderboard[0], after I tested MiniMax M2.5, which was supposedly good based on standard benchmarks, but peformed really poorly in practice and burned through hundreds of thousands of reasoning tokens for each request...
[0]: https://aibenchy.com