A
A multi-markup reader in less than 100 lines of Python code
A multi-markup reader in less than 100 lines of Python code
Share cardActual performance
30points
17comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, 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.
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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