
Actual performance
321upvotes
43comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →75%75% 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.
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Selling Lemons55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My mom grew TOO many lemons
Socrum.io68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Social selling becomes scalable!
Social Selling Ai59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Post better content in Linkdin
I
I am selling my side project Secondfounder44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I am selling my side project Secondfounder
yo
your own LinkedIn28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
your own LinkedIn
Th
The linkedin Killer28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The linkedin Killer
CakeResume55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LinkedIn for Asia
LinkAgent31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Linkedin Superpower
Zevlo43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
photograph. analyze. selling
Tr
TrueSeller – Who Is Selling on Amazon45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrueSeller – Who Is Selling on Amazon