Actual performance
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.
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Make Design54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn ideas into beautiful designs.
StampIt58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make SVGs templatizable within seconds
Voicr64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your voice in, polished text out — in seconds
Polished20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn ideas into polished writing
Sn
Snap Shot – Make Screenshots Look Polished in Seconds25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Snap Shot – Make Screenshots Look Polished in Seconds
I
I made "specloop" – O1 prompts to codegen43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made "specloop" – O1 prompts to codegen
Cr
Crilio – pytest for prompts43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crilio – pytest for prompts
Critic Designs69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Critic Designs is to help you advance in your design career
Ma
Make asynchronous your prompts in Fish46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make asynchronous your prompts in Fish
Cashew Designs73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Website and product design for futuristic companies