Remote: Open to hybrid; strongly prefer in-person in NYC.
Willing to relocate: No.
Technologies: Python, TypeScript, React, LLM apps and agents.
Résumé/CV: https://www.abiraja.com/resume
Email: [email protected]
Engineer and founder, 18+ years. Most recently built Screenshot to Code (open source, 73K+ GitHub stars) and Pico, scaled solo to $200K ARR and 330K users. Before that: one of 5 people at early Notion, founder of PeerCDN (acquired by Yahoo), Yahoo video, Palantir (intern work Palantir patented). Stanford CS.
Looking for a senior IC role on a strong engineering team in the AI / AI-coding / robotics space — ideally a company that genuinely embraces AI-assisted development.
Hi everyone,I wanted to share an open source Telegram-based personal AI assistant I built. It’s a model-agnostic agent with memory, skills, tools (like web search, browser user, etc.) operating in a persistent workspace. It also has support for scheduled tasks, and can build powerful HTML-based apps that live in the workspace.Here are some of my favorite use cases:* Send Lilo photos of food,...
Sharing a small Mac app I built around OpenAI’s gpt-realtime-2 model. You call up a voice coding agent and talk to it like you’d talk to a freelancer ("make the hero tighter, put a product image on the right, that one's too big"). You can even point at things on your webpage and say “remove this” or “make that bold”. Pointing feels like a killer feature. It pushes the conversation bandwidth way...
I’ve found it super useful in my personal life and is pretty much my #1 app.
Hey everyone, I’ve been working on Lilo for the last few months. In short, it’s an intelligent personal OS. Lilo = your apps + your AI assistant + your files + your memories.For a visual intro, here’s a YouTube video demonstrating the features and use cases: https://youtu.be/Jz0l_izoA1wI started this project because I wanted a few small AI-powered apps for myself — a bookmarks tool, a calorie...
The HTTP layer is fine. Websockets work great. This is how the Codex app server works, I believe: https://openai.com/index/unlocking-the-codex-harness/ Same pattern I've used in my agentic OS/personal assistant project: https://github.com/abi/lilo Works great!
Chat history shouldn’t be hard to add with local storage and Indexed DB.
Just wrappers all the way down
Approx sizes are listed in the GitHub README.
Models are stored in indexeddb and will be managed by the browser. Might get evicted.
https://github.com/abi/secret-llama
I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs).I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM.I’ve been using it as a therapist...