GitArborist
Mark PR merge-order dependencies, schedule PRs, and more
Looking to escape the dollars-for-hours lifestyle, and to see if I have what it takes to make a successful business.
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Launch Intel predictions
Analyze your own launch →46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
34%34% predicted probability of success on BetaList, 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.
15%15% 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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