Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
32%32% 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.
10%10% 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
Hudayriyat-island31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hudayriyat island properties
So
So Long, and Thanks for All the Veggies55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
So Long, and Thanks for All the Veggies
2/
2/2/22 Jumpy2 (long overdue)53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2/2/22 Jumpy2 (long overdue)
Th
The Long Beach Pub62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Long Beach Pub
Gi
Gimuby – genetic algorithms and island model for Ruby55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gimuby – genetic algorithms and island model for Ruby
Li
Lirr.py Long Island Railroad train times in python42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lirr.py Long Island Railroad train times in python
An
An interactive implementation of the Koch Island fractal57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An interactive implementation of the Koch Island fractal
Pe
Pen Island – Clean Drawings via AI47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pen Island – Clean Drawings via AI
Pr
Preact Island – create your own slice of paradise on any website54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Preact Island – create your own slice of paradise on any website
Ithaka App24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
island for creators