PHBench

PHBench introduces the first public benchmark designed to predict Series A funding success from a product's launch performance on Product Hunt. Key features include: • Analysis of 67,292 featured launches over 7 years • Linkage to 528 verified Series A funding rounds via Crunchbase • Champion model demonstrating a 4.7x lift over random prediction • Identification of team size × community engagement as the strongest signal • B2B products (API, Payments, Fintech) converting at 3x the baseline rate • Top-ranked launches raising capital at 2.2x the rate of unranked ones This benchmark provides a robust framework and open dataset for evaluating and improving prediction models for early-stage startup funding. Researchers and practitioners can access the full dataset, code, and established baselines to develop and test their own predictive algorithms. The platform facilitates a collaborative environment for advancing the understanding of venture capital signals. PHBench is ideal for venture capitalists, startup founders, market researchers, and data scientists looking to identify high-potential ventures early. It serves as an invaluable resource for strategic investment decisions, product launch planning, and refining predictive analytics methods for the startup ecosystem. Users can submit their own predictions and subscribe to receive weekly insights on high-probability launches.