How It Works
The Limits of Human-Scale Analysis
Traditional VC has been incredibly successful, but human decision-making has inherent constraints at scale. Pattern matching on proven success (Stanford, FAANG) tends to miss founders who don't fit familiar profiles. Great companies with emerging metrics or non-traditional pitch approaches can fall through the cracks. Markets that haven't yet been validated by consensus signals go unnoticed.
This isn't a failure of the current system—it's a fundamental limitation of human analysis. When you're evaluating hundreds of companies with limited time, you rely on heuristics. But heuristics miss the outliers. And in venture, the returns are literally driven by the outliers.
We saw an opportunity: what if you could remove this constraint entirely?
Our Four Core Principles
1. Eliminate Human Bias
- •Demographic bias: Identity hidden until scoring
- •Recency bias: Evaluate fundamentals, not trends
- •Anchoring bias: First principles, not pattern matching
2. Find Talent Before They're Founders
- •GitHub signals: Execution velocity and side projects
- •Team assembly: Leadership before fundraising
- •Early discovery: 6-12 month lead time advantage
3. Cut Through BS with Data
- •Product signals: Customer reviews and retention data
- •Alternative data: Social sentiment and hiring patterns
- •Scale: 200+ signals vs. 5 traditional data points
4. Deeper, Differentiated Diligence
- •Percentile ranking: Exact position in distribution
- •Distribution view: Full outcome picture, not binary
- •Comparables: How winners and losers stack up
What This Means for Your Portfolio
More Rigorous Deal Analysis
Great outcomes in venture are driven by exceptional founder and company selection. Our data-driven signal analysis enables systematic, bias-free evaluation of companies at scale—identifying which opportunities warrant deeper consideration based on market signals rather than pattern matching alone.
Across All Stages
You don't have to be first to be right. We find great companies at pre-formation, seed, and growth stage. Being early matters less than being right.
Systematic Consistency Beyond Human Constraints
Exceptional investors have always been able to identify winners. But scaling that judgment across thousands of companies while removing cognitive biases is difficult at human speed. When you automate the baseline analysis, you don't just find more exceptional opportunities—you find them more reliably and faster.
Speed Without Sacrifice
We can make comprehensive investment decisions in 24 hours. Not because we cut corners, but because we've already done the deep analysis before we ever talk to a founder.