Me
Meet up with people from other companies
Meet up with people from other companies
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
I
I developed a platform regrouping CVS from people at Top Companies49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I developed a platform regrouping CVS from people at Top Companies
Woozir41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An app to meet people and initiatives around you
I
I made an iOS app that pulls data about people and companies you meet24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an iOS app that pulls data about people and companies you meet
Vosalta51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet like minded people. Or not ;)
Y
Y Combinator Companies with Offices in San Francisco61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Y Combinator Companies with Offices in San Francisco
Wh
Who Cares About a GitRepo (companies and contributors)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Who Cares About a GitRepo (companies and contributors)
Pe
Pester Companies56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pester Companies
Co
Contra for Companies57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Contra for Companies
TheFollowUp41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Holding companies accountable on racial injustice.
Wh
Where books and people meet51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where books and people meet