PommeIndex
A database where you can find Apple product specifications
I'm a fan of gadgets—especially Apple products—but because it's hard to find content that comprehensively provides detailed data on Apple products and explains how each product came to be, I'm creating it.
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
35%35% 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.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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