Validibot
Data validation workflows with verifiable proof.
Various client work gave me insight into the need for an easy-to-use deterministic validation workflow tool that could include complex simulations or libraries, and provide verifiable proof when finished.
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Launch Intel predictions
Analyze your own launch →44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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