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PHBench

PHBench is the first public benchmark that predicts Series A funding from Product Hunt launch signals. Developed by Vela Partners and Oxford University, it analyzed 67,292 featured launches over 7 years and matched 528 verified Series A rounds. Key findings include that team size combined with community engagement is the strongest predictor, B2B categories convert at 3x the baseline rate, and rank #1 launches raise at 2.2x unranked. The dataset, code, and baselines are open-source.

SourceProduct Hunt AIAuthor: Rajiv Ayyangar
PHBench
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Analyzed 67,292 Product Hunt launches and 528 Series A rounds
  • Team size × community engagement is strongest signal
  • B2B categories convert at 3x baseline
  • Dataset and code open-sourced; paper submitted to NeurIPS 2026

Highlights and analysis are generated automatically and may contain errors. Check the original source.