Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Bu
Built a newsletter on startups in SE Asia and grew it to 10k subs – AMA59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Built a newsletter on startups in SE Asia and grew it to 10k subs – AMA
Hacker News4Sc
Science Weekly – a newsletter containing science news and questions32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Science Weekly – a newsletter containing science news and questions
Hacker News2Sc
Science Fighter45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Science Fighter
Hacker News2Sc
Science Slider45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Science Slider
Hacker News1Sc
Science Artifact Antiformat58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Science Artifact Antiformat
Hacker News1Th
The Science of Flatness45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Science of Flatness
Hacker News2NullData Newsletter44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Newsletter for Data Science Practitioners and Enthusiasts
Indie Hackers1mailing-listsRe
ReactDOM - The ReactJS, ReactNative and GraphQL Newsletter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ReactDOM - The ReactJS, ReactNative and GraphQL Newsletter
Hacker News4Da
Daring Fireball Newsletter28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Daring Fireball Newsletter
Hacker News1Al
Alleyooop is your Dribbble newsletter hookup28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Alleyooop is your Dribbble newsletter hookup
Hacker News1