Vitaebase
Evidence-based longevity research
I built Vitaebase because most "longevity" content online is either selling supplements or citing studies loosely, and I wanted something closer to a primary-source map which is easy to understand.
Share cardActual performance
1followers
$6MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
17%17% 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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