Ti
Actual performance
8points
4comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ta
Tabical – Tinder-style city micro-itineraries, personalized by swipe56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tabical – Tinder-style city micro-itineraries, personalized by swipe
Hacker News8Ti
Tinder-Style News App50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder-Style News App
Hacker News4Sw
SwipeyTunes – Tinder style iTunes cleaner41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SwipeyTunes – Tinder style iTunes cleaner
Hacker News5Cr
CrushVote – Tinder for the US presidential election39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CrushVote – Tinder for the US presidential election
Hacker News2No
Nosy – Imgur for Tinder and texting69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nosy – Imgur for Tinder and texting
Hacker News4Ti
Tinder for Clothing62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Clothing
Hacker News15Ta
Tastebuds: Tinder for Concerts62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tastebuds: Tinder for Concerts
Hacker News1Hi
Hinder – Tinder for HN65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hinder – Tinder for HN
Hacker News1Ti
Tinder for Netflix with AngularJS/Ionic63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Netflix with AngularJS/Ionic
Hacker News7Ti
Tinder for Uber72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Uber
Hacker News6