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Every financial market eventually yields to systematic investment strategies. VC is next + rule30 is leading that shift with a fully algorithmic, index style approach to identify outlier founders at scale
We’ve built an AI decision engine that reasons probabilistically about early stage investing, moving beyond hype cycles + pattern matching
It identifies outliers by ranking founders into percentile bands (top 10%, 3%, 0.1%) - a new category in venture: algorithmically curated outlier founders
rule30: Would we back your startup + whyShare your LinkedIn. Receive a decision + reasoning in 24h.
Early stage investors evaluate you by deciding if you’re a good fit for the startup you’re building. They call this founder-market fit. Founderfit calculates your fit in seconds so you can see how VCs rate your experience and take the guesswork out of pitching
Founderfit by KobleSee how you compare to VC-backed founders