A
A Hacker News clone using Bootstrap
A Hacker News clone using Bootstrap
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →77%77% 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.
nativeThis product was originally launched on this platform.
40%40% predicted probability of success on Indie Hackers, 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.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
My
My Hacker News clone64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Hacker News clone
Ne
Newsboard – A Hacker News Clone64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Newsboard – A Hacker News Clone
SH
SHOW HN: Yet another Hacker News clone66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SHOW HN: Yet another Hacker News clone
My
My Hacker News clone (redesigned)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Hacker News clone (redesigned)
Ha
Hacker News clone in Rails59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News clone in Rails
Ha
Hacker News clone using Copper + Tailwind60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News clone using Copper + Tailwind
Na
Nacker Hews, Hacker News with Spoonerisms Using Go and Heroku55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nacker Hews, Hacker News with Spoonerisms Using Go and Heroku
Ha
Hacker News Clone Built with Aurelia66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News Clone Built with Aurelia
Ha
Hacker News Clone for Crypto61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News Clone for Crypto
Wh
What I Learned Writing a Hacker News Clone67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What I Learned Writing a Hacker News Clone