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Random Rule Forest on VCBench

Vela + OxfordReasoning
Board as of 2026-10-07

Random Rule Forest scores F0.5 31.3 on VCBench, the venture capital benchmark from the University of Oxford and Vela Research, with 37.9% precision and 18.5% recall on the 4,500-founder private test set. That is rank 8 of 32, 2.9× the F0.5 of tier-1 VCs and 3.6× Y Combinator, at $0.13 per 1,000 founders scored.

Random Rule Forest on the VCBench leaderboard today
Rank
#8 of 32
F0.5
31.3
Precision
37.9%
Recall
18.5%
Cost / 1k founders
$0.13

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
Random Rule Forest37.9%18.5%31.3$0.13
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

An LLM reads each founder profile at scoring time and returns a prediction. Random Rule Forest used about 3,174 input and 1,794 output tokens per founder on Typesafe System One (jev-1.13.0), measured from the API usage fields. Cost is tokens times the provider's list price on 2026-09-24 ($0.042 input and $0 output per million tokens), so it recomputes when prices change. Build costs such as question or policy generation are excluded.

Read more

  • Random Rule Forest: Predicting Startup Success with LLM-Written Yes-or-No Questions: Random Rule Forest turns LLM-written yes-or-no questions into a scorecard investors can read. In the paper, half of the founders it flagged went on to succeed, 5x chance.

Frequently asked questions

What does Random Rule Forest score on VCBench?
Random Rule Forest scores F0.5 31.3 on VCBench, with 37.9% precision and 18.5% recall, rank 8 of 32 as of 2026-10-07.
Does Random Rule Forest beat human investors at predicting founder success?
Yes. Its F0.5 is 2.9 times that of tier-1 VCs (10.7) and 3.6 times Y Combinator (8.6), after both are normalized to the dataset's 9% base rate.
How much does Random Rule Forest cost per 1,000 founders?
About $0.13 per 1,000 founders at list prices on 2026-09-24. An LLM reads each founder profile at scoring time and returns a prediction. Random Rule Forest used about 3,174 input and 1,794 output tokens per founder on Typesafe System One (jev-1.13.0), measured from the API usage fields. Cost is tokens times the provider's list price on 2026-09-24 ($0.042 input and $0 output per million tokens), so it recomputes when prices change. Build costs such as question or policy generation are excluded.

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.