Pa
Papier – a minimal, pretty semantic, responsive CSS library
Papier – a minimal, pretty semantic, responsive CSS library
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
66%66% predicted probability of success on BetaList, 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.
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
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