Ke
Keep readers up to date on new entries to your 'awesome' list
Keep readers up to date on new entries to your 'awesome' list
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →53%53% predicted probability of success on BetaList, 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 TrustMRR, based on ML models trained on real launch data.
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
A
A list of awesome linters50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A list of awesome linters
Aw
Awesome-Compilers List50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome-Compilers List
Aw
Awesome-Ruby-AST – a list of AST related tooling in Ruby43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome-Ruby-AST – a list of AST related tooling in Ruby
Mo
Modestly awesome list of StimulusJS related content48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Modestly awesome list of StimulusJS related content
aw
awsm-list – @sindresorhus/awesome list fuzzy finder54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
awsm-list – @sindresorhus/awesome list fuzzy finder
awesome-go37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated list awesome Go frameworks, libraries and software
Dj
Django-Readers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django-Readers
A
A curated list of awesome cryptocurrencies65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A curated list of awesome cryptocurrencies
Aw
Awesome-hpp – A curated list of header-only C++ libraries64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome-hpp – A curated list of header-only C++ libraries
Aw
Awesome-runbook – A curated list of runbooks70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Awesome-runbook – A curated list of runbooks