
iCliniq Tes AI Assistant-Type 1 Diabetes
Crafted by Expert Physicians
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →71%71% 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.
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
21%21% 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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