[2604.02378] YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches

Computer Science > Machine Learning arXiv:2604.02378 (cs) [Submitted on 1 Apr 2026] Title:YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches Authors:Mostapha Benhenda View a PDF of the paper titled YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches, by Mostapha Benhenda View PDF Abstract:Forecasting startup success is notoriously difficult, partly because meaningful outcomes, such as exits, large funding rounds, and sustained revenue growth, are rare and can take years to materialize. As a result, signals are sparse and evaluation cycles are slow. Y Combinator batches offer a unique mitigation: each batch comprises around 200 startups, funded simultaneously, with evaluation at Demo Day only three months later. We introduce YC Bench, a live benchmark for forecasting early outperformance within YC batches. Using the YC W26 batch as a case study (196 startups), we measure outperformance with a Pre-Demo Day Score, a KPI combining publicly available traction signals and web visibility. This short-term metric enables rapid evaluation of forecasting models. As a baseline, we take Google mentions prior to the YC W26 application deadline, a simple proxy for prior brand recognition, recovering 6 of 11 top performers at YC Demo Day (55% recall). YC Bench provides a live benchmark for studying startup success forecasting, with iteration cycles measured in months rather than years. Code and Data are available...