
Actual performance
103upvotes
12comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
60%60% predicted probability of success on BetaList, based on ML models trained on real launch data.
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I built a cute, little isometric block stacking editor in QML51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a cute, little isometric block stacking editor in QML
A
A little library to list all dependencies from code57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A little library to list all dependencies from code
Ec
Ecks.pl, a handy little tmux wrapper in Literate Perl49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ecks.pl, a handy little tmux wrapper in Literate Perl
Li
Little Betsy, curating the margins of Etsy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Little Betsy, curating the margins of Etsy
Li
Little Guys34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Little Guys
Little Betsy20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Equitable curation for Etsy.
Yenicorn39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
🦄 — There's a little yenicorn in all of us.
Monitor Riser31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
It's a cute little table you put under your monitor
Cu
Cute – Didactic VM, Assembler and Debugger in the Browser65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cute – Didactic VM, Assembler and Debugger in the Browser
Cu
CuteUID – Generate Cute UIDs41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CuteUID – Generate Cute UIDs