Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →95%95% 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.
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Correct prediction on native model
Similar products
Ta
TagOverflow - Stack Overflow topics visualized56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TagOverflow - Stack Overflow topics visualized
De
Deploying Elixir – Advanced Topics56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploying Elixir – Advanced Topics
Exploding Topics34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We surface rapidly growing topics before they take off.
I
I grouped HN by topics, so you don‘t have to52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I grouped HN by topics, so you don‘t have to
Af
After 4 hours learning React, I made a joke app based on ur fav topics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
After 4 hours learning React, I made a joke app based on ur fav topics
Fi
Filter HN topics you're not interested in73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Filter HN topics you're not interested in
Axcelgram21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Technology-related topics
cur.to26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A social networks aggregator based on topics
Trendshelp44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find topics in news around the world
Fi
Find proven topics before they take off47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find proven topics before they take off