What are you working on? Any new ideas that you're thinking about?
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.
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
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.
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.
Numenon: Sandbox knowledge base management tool for teams.
website: https://about.numenon.app
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
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.
I’m working on a new word game, called Wordtrak:
(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:
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.
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]
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
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.
Building a tool to make test reports useful - https://gaffer.sh
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.
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.
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
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'm building DB Pro, a better database client.
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.
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
Our family is enjoying Flip7 card game lately and was playing almost every day. Created an app to make it more fun and engaging by creating an app to manage the daily score and to make it a weekly, monthly competition for leaderboard. https://flip7battle.com/. Only available in apple store for now. It was fun to create and use this app.
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.
I've been writing interactive math and computer science articles at https://growingswe.com/blog. The past few months, I have been obsessed with interactive learning experiences and currently building https://math.growingswe.com for learning probability.
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.
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.
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 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.
SEEKING WORK | Remote | AI/Full-Stack Engineering
We ship production AI backends for startups and agencies: • RAG pipelines (Pinecone, Weaviate, Supabase Vector) • Multi-agent systems (LangGraph, CrewAI) • Full-stack AI MVPs (Next.js + Python + Supabase) • Auth migrations & infrastructure hardening • Fine-tuning (OpenAI, Llama 3)
Recent: Trading platform auth migration (700+ users, zero downtime), IoT payment gateway, multi-agent cybersecurity monitoring.
Stack: Python, LangGraph, Next.js, Supabase, Pinecone, AWS Portfolio: sauravjain.dev Email: [[email protected]] Rate: $50-80/hr or project-based ($5-15K)
I'm building a distributed key-value store as part of my university project.
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.
Building an AI graphic designer that takes you text and converts into a finished design based on your choosen size, style and branding.
Currently optimized for restaurant menus but maybe we should expand to other type of long-form materials like brochures and infographics.
I am working on https://beta.colorguesser.com/ - a small daily color guessing game.
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.
To reverse engineer old C64 games using Coding Agents, I built a CLI and MCP flow disassembly tool. The agent can search the disassembly, provide annotations, manage symbols, and reinterpret code and data.
For about a year I've been working on Mu - an app for everything without ads, algorithms or exploits. https://mu.xyz
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 am working on making product managers more aware about what kind of personality they are. I have seen there are couple of tests but those are not the ones that will put people into the actual work of Product Management.
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.
Personalized educational activity (real, physical) books: https://elbobooks.com
^^ 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
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/
the main thing ive been hacking on recently is what i consider to be the first next gen llm harness, ive a demonstrator that implements like 40percent of what ive pretty complete specs for on top of mono pi. theres some pretty big differences in overall reasoning and reliability when i run most useful sota frontier models with all my pieces. early users have reported the models actually are more cozy, reliable and have a teeny bit more reasoning capacity
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.
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...
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.
i'm working on this two projects: https://github.com/shrec/Exorcist and https://github.com/shrec/UltrafastSecp256k1
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'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.
I am working on https://yakki.ai, a Mac dictation app. I have started expanding what the users can do with it, for the moment you can record your meetings and get insights and notes. I am considering where to take it from here! competition is fierce, so I am focusing on making it better and to serve specific users that provide feedback.
Building Bloomberry to help sales teams find companies that use any technology or SaaS product.
Example: Slack: https://bloomberry.com/data/slack/
Working on improving AI Nexus - my custom LLM frontend that exposes all AI Models in a single interface: https://getainexus.com/
I made a web-based speaking clock: https://alexsci.com/time-at-the-tone/
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’m working on an R7R7-small scheme called Sable. The focus is on having good Windows support, vscode support, Lsp and Debug adapter protocol support. It is closer to SBCL and is image based, and builds with just the platforms native c compiler