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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.
Guy Marc Conwayleft a comment
Hey Hunters! Damian and Guy here from Koble. In 2016 we co-founded a venture builder, Zero 1. There, we launched three tech startups and raised $8 million in venture capital, notably Lifted and Heata. Launching a startup is the hardest thing in the world. And we strongly believe founders and investors are suffering from lacking a quantitative approach in the early stage. We became obsessed with...
Founderfit by KobleSee how you compare to VC-backed founders
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
Guy Marc Conwayleft a comment
I like this will try it out next time for sure :)
Sktch.ioThe fastest way to develop an MVP for your next website/app
Guy Marc Conwayleft a comment
Will use for sure next time we make a hire !
Match.devA free dev recruiter for startups
Guy Marc Conwayleft a comment
Very cool :)
Replace Car Background magically-SpyneAIBoost online car sales with AI generated backgrounds