A
Actual performance
3points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
16%16% predicted probability of success on BetaList, 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
LivingCharts45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tool for making animated charts easily
Pr
ProjectManagement.jl: PERT charts and probabilistic durations in Julia45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ProjectManagement.jl: PERT charts and probabilistic durations in Julia
Fo
Formula 1 Lap Charts57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Formula 1 Lap Charts
I
I made a Pie Chart maker for making pie charts without headache47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a Pie Chart maker for making pie charts without headache
Ma
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making explainability algorithms more robust with GANs
Ma
Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making a Cypherpunk Loot Derivative
Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making your standups more joyful with Zest
My
My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Q&A with Neal Stephenson on making the Metaverse himself
Ma
Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making IBANs More Memorable
Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making of an HTML5 cube timelapse