A
Actual performance
69points
44comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
19%19% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
wemake-python-styleguide47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The strictest and most opinionated python linter ever!
Ju
Jupyterlab python linter using flake845%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jupyterlab python linter using flake8
py
pyproject – A linter for your Python project configuration54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
pyproject – A linter for your Python project configuration
Fi
First Live Online Python Linter47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
First Live Online Python Linter
zo
zodiac, a new approach to monkey patching in python60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
zodiac, a new approach to monkey patching in python
Le
Lewis, a new Android Linter35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lewis, a new Android Linter
Sc
Scope linter for coffeescript33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scope linter for coffeescript
Li
Linter for coverletters42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linter for coverletters
Fl
Flint – The filesystem linter in go68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flint – The filesystem linter in go
Li
Linter for Dockerfiles42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linter for Dockerfiles