Mo
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto60%60% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive38%38% 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, revenue21%21% 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, podcasting4%4% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Qu
Quora for Recommendations43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quora for Recommendations
Hacker News1Ti
Tired of Netflix recommendations? Televisor57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tired of Netflix recommendations? Televisor
Hacker News1Sc
Scotch2Vec – AI Scotch Recommendations29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scotch2Vec – AI Scotch Recommendations
Hacker News2
ExpertVoice17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get rewarded with product recommendations
AppSumoMu
Music recommendations for Progressive Rock40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music recommendations for Progressive Rock
Hacker News1Pe
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 News5Me
Meetup Recommendations in your calendar45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meetup Recommendations in your calendar
Hacker News3Ex
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 News1Re
Recommendations map47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recommendations map
Hacker News1Gu
Guia.Social – Travel recommendations from people you trust40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Guia.Social – Travel recommendations from people you trust
Hacker News3