TurbineFi – Build, Backtest, Deploy Prediction Market Strategies

Hey HN!

We just finished our first major build of TurbineFi, an AI-assisted workflow for building, backtesting, and running prediction market strategies. There are over 1,000 community strategies you can try out, there's a backtesting engine integrated in the workflow, and you get your own sandbox to execute the trades 24/7. Currently live for Kalshi, Polymarket coming soon.

We developed a custom DSL to make compiling AI-assisted strategies more deterministic than raw python generation, so creating a strategy takes seconds even on low-tier models (thinking of migrating to a self-hosted model soon to reduce costs).

We also worked with Locus (YCF25) to do the sandbox provisioning, so that we never manage keys for users. When a user signs up with their email, Privy creates a wallet for them, and then that wallet uses the X402 agent payment protocol to pay for their own server. We created a deployment harness around it that accepts and runs new code via a hosted API, so once it's up, every deployment is authorized by EIP-712 signatures. It keeps everything non-custodial, and code deployments happen in seconds. And users don't really realize they're using crypto rails.

Turbine also includes weather and crypto historical information, so you can do things like fading the BTC-15min UP markets when it's cold in NYC, and backtest and run it in seconds. Adding sports data soon.

There's a 7-day trial if you want to poke around. Would appreciate feedback on which strategies you'd want to try first, so we can make sure we have the infra to support them. Thank you!