PHBench shows Product Hunt launch signals predict Series A funding with an ensemble model reaching AP 0.037 and F0.5 0.097 on blind test data, outperforming logistic regression and zero-shot LLMs.
The Varying Importance of Extrinsic Factors in the Success of Startup Fundraising: Competition, Market Timing and Startup Ecosystem
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YC Bench is a new live benchmark that evaluates forecasting models for startup outperformance within YC batches using a short-term Pre-Demo Day Score derived from public traction signals.
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PHBench: A Benchmark for Predicting Startup Series A Funding from Product Hunt Launch Signals
PHBench shows Product Hunt launch signals predict Series A funding with an ensemble model reaching AP 0.037 and F0.5 0.097 on blind test data, outperforming logistic regression and zero-shot LLMs.
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YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches
YC Bench is a new live benchmark that evaluates forecasting models for startup outperformance within YC batches using a short-term Pre-Demo Day Score derived from public traction signals.