https://i.redd.it/myb1kfmvav9h1.gif
We all know how prediction markets end for the average person. It's just a casino, and the house always wins. So instead of building yet another "beat the market with AI" thing, I built the opposite.
You describe a betting strategy in plain English, an LLM turns it into actual Python that runs in a sandbox, and your bot goes live on a public leaderboard to find out whose genius system loses the least. All simulated paper trades, no real money is involved.
It's themed around losing because that's the realistic outcome, but the leaderboard still crowns whoever's somehow making money.
Solo side project. Stack is Next.js, Supabase, and a separate Python FastAPI backend that validates and sandboxes the generated strategy code. Feel free to try it out.
The user describes a project where AI generates Python code for trading bots that compete in a simulated prediction market. The goal is to see which bot loses the least money. The project uses Next.js, Supabase, and a Python FastAPI backend for code validation and sandboxing. The user is open to discussing details but has not open-sourced the project.
Is it open source?
Nah, the repos are private for the time being. Happy to get into some of the details though, if you want.