Analytics for Indies
Content to help IHers set up and understand their analytics
I've spent nearly a decade working on high-scale analytics (at PlayStation and Rakuten) and I want to make analytics easy for indies.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →80%80% 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.
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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