Lists
Make lists... attendance, gratitude, books, and more!
I wanted to have a better system to take attendance and make notes in classes I teach.
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Launch Intel predictions
Analyze your own launch →56%56% predicted probability of success on TrustMRR, 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 Product Hunt, based on ML models trained on real launch data.
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
42%42% predicted probability of success on Hacker News, 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.
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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