3w
3wordsmovie – Simple movie recommendations
Hacker News3wordsmovie – Simple movie recommendations
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto52%52% 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, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, 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.
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, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Le
Letterboxd Movie Recommendations48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Letterboxd Movie Recommendations
Hacker News2Le
Letterboxd Movie Recommendations48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Letterboxd Movie Recommendations
Hacker News2Mo
Movie Recommendations for several people to watch together58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Movie Recommendations for several people to watch together
Hacker News26Ly
Lykely – Instagram for Movie and TV Show Recommendations43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lykely – Instagram for Movie and TV Show Recommendations
Hacker News2CouchSurfer52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get your friend's recommendations and watch any show/movie
Indie Hackers1b2cQu
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 News1Po
Popcorn.fm — Movie and TV show recommendations47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Popcorn.fm — Movie and TV show recommendations
Hacker News3Sc
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 News2Criticker57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The movie, TV show and games recommendations engine.
Indie Hackers1$1/moanalytics