Crocodile
Code reviews as they should be
I think code review is critical for mentoring engineers, spreading knowledge, and producing great code. I couldn't find a code review tool that I liked, so I decided to do something about it. Crocodile is the result.
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Launch Intel predictions
Analyze your own launch →77%77% 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.
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on TrustMRR, 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.
15%15% 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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