Flipper Cloud
Feature Flags for Ruby
I built the feature flag system while at GitHub and saw first hand how it changed the way we released software there. I completely fell in love with feature flags and decided to launch a hosted product.
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Launch Intel predictions
Analyze your own launch →80%80% predicted probability of success on Product Hunt, 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 Hacker News, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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