Newest at the top, demos right here.
Your ChatGPT and your AI tools know you much better than your LinkedIn does or your job experience does. Polymath reads that signal to find exceptional people and directly get them opportunities. The first tool is on npm: deterministic metrics from your local Claude Code, Cursor and Codex logs, fully private, fully on-device.
Take-homes are cooked. No one knows how much the human did and how much AI did. I built the fix: same take-home, the candidate screen-shares, we see their granular process and give a report. Six students assessed, five SF startups requested candidate reports.
Turns books into interactive podcasts you can interrupt and question. Market pull was low, but it adds a lot of value to my life and I use it every day to this day.
An n8n-style tool where you describe an app and it builds the workflow. 1,000+ users at its peak after going viral on X.
You lose your Notion notes in an unorganized abyss (organizing is tough). ChatGPT never retrieves all your relevant thoughts for a nuanced decision. Corta will build a second brain like you want, and use AI on it exhaustively.
This is Karen.ai, a website to stress test your customer support employees by being a Karen.
A tool to make documenting the specific knowledge in enterprises much easier, things that usually go undocumented.
A way to instruct AI agents to do workflows using examples. People have specific knowledge, and examples seemed to be the best way to capture that.
A platform to create your own digital persona. It's an AI that talks like you and that you can feed your information to in an authenticated way. Allow your friends to chat with it and embed it in your own website as an API. Built for the YC + Supabase hackathon (Got a special mention).
Current automation platforms are almost like visual coding (blocks and flowcharts), which is too complex for the average HR/accounting person to learn and do quickly. I built a much more intuitive automation platform for enterprises using Agentic AI and LLM Code generation.
Created a library that captures LLM input prompts you put in during development and uses an LLM to generate variations of these input-output pairs. This enables developers to evaluate the reliability of their system prompts in different ways. Entrepreneur First hackathon project.
I used AI agents to automate tedious accounting tasks like invoice data entry and ledger scrutiny. Used Langchain and LangGraph. Human in the loop for important actions.
An AI to teach users how to operate complicated software, like the EHR software Epic.
An innovation platform for Columbia students to bounce ideas and network.
An Ethereum-based FCFS freelancing platform with automatic job verification and payment.
AI research