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Pvalyou Founder Model (ML) on VCBench

PvalyouClassical ML
Board as of 2026-10-07

Pvalyou Founder Model (ML) scores F0.5 31.5 on VCBench, the venture capital benchmark from the University of Oxford and Vela Research, with 38.2% precision and 18.8% recall on the 4,500-founder private test set. That is rank 7 of 32, 2.9× the F0.5 of tier-1 VCs and 3.7× Y Combinator, at $0 per 1,000 founders scored.

Pvalyou Founder Model (ML) on the VCBench leaderboard today
Rank
#7 of 32
F0.5
31.5
Precision
38.2%
Recall
18.8%
Cost / 1k founders
$0

Scored on the 4,500-founder private test set, mean over three folds. That is 2.9× the F0.5 of tier-1 VCs. See the full leaderboard.

Compared with the reference rows

EntryPrecisionRecallF0.5Cost / 1k
Pvalyou Founder Model (ML)38.2%18.8%31.5$0
Think-Reason-Learn Ensemble40.6%30.1%37.9$0.87
Tier-1 VCs23.0%5.2%10.7n/a
Y Combinator14.0%6.9%8.6n/a
Random Classifier9.0%9.0%9.0$0

Human rows are normalized to the dataset's 9% success rate, so every entry is compared on the same base rate. Costs use list prices on 2026-09-24.

How it was scored

No LLM runs at scoring time. A trained model reads structured features from the anonymized profile (education, career history, prior companies) and scores the founder directly, so the API cost at scoring is $0. Training cost is excluded, the same rule applied to every entry.

Read more

  • VCBench Leaderboard Update: Accuracy vs Cost, Plus GPT-6 and Claude Opus 5.5: VCBench now plots F0.5 against the cost of scoring 1,000 founders, with GPT-6, Claude Opus 5.5, new submissions and the Think-Reason-Learn Ensemble.

Frequently asked questions

What does Pvalyou Founder Model (ML) score on VCBench?
Pvalyou Founder Model (ML) scores F0.5 31.5 on VCBench, with 38.2% precision and 18.8% recall, rank 7 of 32 as of 2026-10-07.
Does Pvalyou Founder Model (ML) beat human investors at predicting founder success?
Yes. Its F0.5 is 2.9 times that of tier-1 VCs (10.7) and 3.7 times Y Combinator (8.6), after both are normalized to the dataset's 9% base rate.
How much does Pvalyou Founder Model (ML) cost per 1,000 founders?
$0 at scoring time: no LLM runs when Pvalyou Founder Model (ML) scores a founder. Training cost is excluded for every entry.

About VCBench

VCBench is the first benchmark for venture capital. It tests how well AI models, AI-native venture capital methods and human investors predict which startup founders will succeed, on 9,000 anonymized founder profiles. It was built by the University of Oxford and Vela Research, the research arm of Vela Partners, an AI-native quant venture capital firm in San Francisco. Many methods on the leaderboard are open source in Think-Reason-Learn.