Cr
Create your own Codecademy-style lessons
Create your own Codecademy-style lessons
Share cardActual performance
96points
31comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Cr
Create your own Codecademy-style lessons44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create your own Codecademy-style lessons
Le
Lessons of HN48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lessons of HN
Singing lessons Westlake Village24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Singing lessons Westlake Village
Fr
Free AngularJS 1 on 1 lessons36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free AngularJS 1 on 1 lessons
Le
Lessons from building a SIMA2 style agent in Roblox40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lessons from building a SIMA2 style agent in Roblox
Life Lessons35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Life Lessons
Fi
Fiddlewax Interactive Lessons56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fiddlewax Interactive Lessons
Le
Lessons from a Flightless Bird (Book)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lessons from a Flightless Bird (Book)
Greek dialogues App ΕΛΑ68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Greek audio lessons
Cl
Clerb. ERB-style Clojure templating48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clerb. ERB-style Clojure templating