Developer Builds GitHub-Based Fundraise Predictor, Backtested Against 219 Startups

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A data-focused developer has built a tool that monitors over 4,200 startup GitHub organizations weekly to detect early signs of upcoming fundraising rounds. The system tracks three signals — commit velocity, contributor growth, and new repository creation — combining them into a composite score to classify engineering activity trends. Backtesting against 219 documented fundraises found that startups showing an acceleration pattern raised at roughly 3.4 times the base rate, with the signal appearing 21 to 47 days before public announcements. The methodology has been published as an SSRN preprint with the backtest dataset made publicly available on Zenodo for independent verification. The creator acknowledges a 23% false-positive rate and is open-sourcing the signal computation logic, while also offering a free weekly email and an MCP server for querying live data.

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ProgrammingDEV Community ·

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