I
Actual performance
2points
5comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto53%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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ex
Exhaustive Book recommendations from pmarca54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Exhaustive Book recommendations from pmarca
Hacker News1Bo
Book Recommendations by Digital Nomads48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Book Recommendations by Digital Nomads
Hacker News2
Lorekeep42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personalized book recommendations
Product Hunt+1Pe
Personalized book recommendations with Librarian AI41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personalized book recommendations with Librarian AI
Hacker News150As
Ask anyone for book recommendations or give one57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask anyone for book recommendations or give one
Hacker News3Ev
Every Ask HN about book recommendations56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Every Ask HN about book recommendations
Hacker News4KinStor12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Book and Podcast recommendations
Indie HackersA
A directory of Seth Godin's book recommendations46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A directory of Seth Godin's book recommendations
Hacker News3I
I made a book recommendations app based on your mood37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a book recommendations app based on your mood
Hacker News1My
MyRead – simple book tracker with BYOK AI recommendations47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MyRead – simple book tracker with BYOK AI recommendations
Hacker News7