Ev
Every video recommendation system nowadays
Hacker NewsEvery video recommendation system nowadays
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto87%87% 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.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released37%37% predicted probability of success on Hacker News, 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, revenue29%29% 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, macos28%28% predicted probability of success on Product Hunt, 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
Ev
Every video recommendation system nowadays37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Every video recommendation system nowadays
Hacker News1Gem Recommendation Tool32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free Gemstone Recommendation
Indie HackersWi
Wine recommendation app for Albert Heijn27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wine recommendation app for Albert Heijn
Hacker News2
KiftMe18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A prepaid recommendation app
Product Hunt+2Gi
Gitlove – Recommendation Engine for Programmers60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gitlove – Recommendation Engine for Programmers
Hacker News1Re
Recommendation Engine as a Redis Module39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recommendation Engine as a Redis Module
Hacker News2Phonevice33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recommendation engine for smartphones
Indie Hackers1aiYoutube Search28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Foucus on video search without video recommendation.
Indie Hackers2productivityMo
MovieInbox – Netflix Recommendation Powered by Email, Catalogue Italian67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MovieInbox – Netflix Recommendation Powered by Email, Catalogue Italian
Hacker News1Nutriverify33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nutriverify – Personalized Supplement Recommendation app
Indie Hackerscommitment-full-time