Mo
Mockylla, a library that allows you to easily mock out ScyllaDB tests
Mockylla, a library that allows you to easily mock out ScyllaDB tests
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →55%55% 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.
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
14%14% 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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