| Content: |
| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| language: |
| - en |
| tags: |
| - venture-capital |
| - product-hunt |
| - benchmark |
| - startup-prediction |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # PHBench |
| |
| PHBench maps 67,292 featured Product Hunt posts to 528 verified Series A outcomes within 18 months of launch (2019-2025). |
| |
| ## Dataset Description |
| |
| - **Paper:** https://arxiv.org/abs/2505.XXXXX |
| - **Website:** https://phbench.com |
| - **GitHub:** https://github.com/ihlamury/vc-market |
| - **License:** CC BY 4.0 |
| |
| ## Dataset Structure |
| |
| | Split | Posts | Positives | Positive Rate | |
| |-------|-------|-----------|---------------| |
| | Train | 47,071 | 372 | 0.79% | |
| | Validation | 6,753 | 53 | 0.78% | |
| | Test | 13,468 | 103* | 0.76% | |
| |
| *Test labels withheld. Submit predictions to benchmark@vela.partners for scoring. |
| |
| ## Features |
| |
| 61 engineered features per post including engagement signals (votes, comments, reviews), rank signals (daily, weekly, monthly rank), maker features (count, followers), temporal features, topic flags, and |
| interaction terms. |
| |
| ## Citation |
| |
| If you use PHBench please cite: Ihlamur et al. PHBench: A Benchmark for Predicting Startup Series A Funding from Product Hunt Launch Signals. arXiv 2026. |
