I
I made tailzilla – A online code editor for Tailwind CSS
I made tailzilla – A online code editor for Tailwind CSS
Share cardActual performance
24points
2comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →79%79% 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.
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
23%23% 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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