Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto82%82% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
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
Hacker News2Fr
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
Hacker News1Life 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
Indie Hackers1advertisingFi
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
Hacker News13Le
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)
Hacker News3Greek 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
Indie Hackerscommitment-side-projectCr
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
Hacker News96Cr
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
Hacker News2El
Elixir School – Lessons in the Fundamentals of Elixir66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Elixir School – Lessons in the Fundamentals of Elixir
Hacker News9Pr
Primer – Marketing Lessons from Google41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Primer – Marketing Lessons from Google
Hacker News29