Actual performance
344upvotes
9comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: gemini · Missing: mac, agents, macos66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Personizely46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Targeted popups and Website personalization
Indie Hackers5$5,125/mob2be-
e-Commerce Personalization with WebGL48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
e-Commerce Personalization with WebGL
Hacker News3A
A roster help programmers find some interesting naming67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A roster help programmers find some interesting naming
Hacker News1He
Help me crowdsource a definition of Americanness34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help me crowdsource a definition of Americanness
Hacker News2He
Help a Scientist38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help a Scientist
Hacker News1He
Help me propose to my girlfriend38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help me propose to my girlfriend
Hacker News7He
Help with Covid33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help with Covid
Hacker News2We
We're trying to help eradicate preventable blindness32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We're trying to help eradicate preventable blindness
Hacker News1He
Help us with the MIT Tetris hack64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help us with the MIT Tetris hack
Hacker News37So
Socket.im Get Help Immediatly.54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Socket.im Get Help Immediatly.
Hacker News2