Re
Reference nav datasets via Python module
Reference nav datasets via Python module
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Launch Intel predictions
Analyze your own launch →68%68% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
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