Authorizer
Open Source Authentication and Authorization Solution
- Din't want to implement the same logic again and again - Din't want to pay for services like auth0 based on user count
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →72%72% 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.
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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