Actual performance
1upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto62%62% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% 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, revenue18%18% 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, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pe
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 News150Ex
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 News1BookPrescriber19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get curated personalized book recommendations.
Indie Hackerscommitment-full-timePe
Peloton Personalized Recommendations37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Peloton Personalized Recommendations
Hacker News5I
I made a book recommendations app47%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
Hacker News2
TasteLanc47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An app providing personalized dining and nightlife recommendations in Lancaster, PA.
TrustMRR15$750/moArtificial IntelligenceBo
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 News2Arbeitr17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personalized job recommendations that go beyond the paycheck
Indie Hackers2aiAs
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 News4