Ap
AppDrag – CMS and Backend in the Cloud
AppDrag – CMS and Backend in the Cloud
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →82%82% 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.
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on TrustMRR, 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.
29%29% predicted probability of success on Indie Hackers, 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.
Correct prediction on native model
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