Tripppr
Psychedelic journals and insights
Tripppr aims to improve education about psychedelic compounds by providing a thorough set of user submitted journals that can be used to inform, educate and improve the safety of a psychedelic trip.
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Launch Intel predictions
Analyze your own launch →70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% 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.
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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