
Actual performance
8upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →87%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.
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pa
Pangamea – Tinder for game discovery52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pangamea – Tinder for game discovery
Ca
Career Database – Salary and employment data on 550 careers79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Career Database – Salary and employment data on 550 careers
Cr
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
No
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
Sw
Swish, Tinder for Dribbble62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Swish, Tinder for Dribbble
Ti
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
Ta
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
Hi
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
Ti
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
Ti
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