PHBench
Predict the next Series A from a ProductHunt launch
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PHBench is a public benchmark for predicting Series A funding from Product Hunt launch signals. It analyses more than 67,000 featured launches over seven years, linked to 528 verified Series A rounds via Crunchbase.
The best model shows a 4.7x lift over random. The strongest signal is team size combined with community engagement; B2B categories like API, payments, and fintech convert at about three times the baseline; and a number-one rank raises at about 2.2 times an unranked launch.
The dataset, code, and baselines are open. It is aimed at researchers, investors, and founders interested in what launch signals correlate with early funding.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
PHBench stood out as a research curiosity rather than a tool to use daily — a public benchmark linking 67,000+ launches to verified Series A outcomes is worth naming for anyone skeptical of "Product Hunt buzz predicts success" who wants to see the actual numbers.
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