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A list of no-code software, by category, with real-world examples
A list of no-code software, by category, with real-world examples
Share cardActual performance
75points
22comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →86%86% 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 Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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