Te
Tenreads – Ten top stories everyday on everything you love
Hacker NewsTenreads – Ten top stories everyday on everything you love
Share cardActual performance
6points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos40%40% 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, personal28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ek
Ekdota - Share your everyday anecdotes and stories48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ekdota - Share your everyday anecdotes and stories
Hacker News8A
A New Platform to Share Stories of Unsung Everyday Heroes41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A New Platform to Share Stories of Unsung Everyday Heroes
Hacker News1AI
AI Written Stories/Poetry/Raps about Love34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Written Stories/Poetry/Raps about Love
Hacker News2At
Atoms Everyday Mask45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Atoms Everyday Mask
Hacker News2Intentful62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Take back your everyday
Indie Hackers1b2cSu
Superboost – Love Hacking for OkCupid59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Superboost – Love Hacking for OkCupid
Hacker News9I
I love it Vapor-ware at its finest47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I love it Vapor-ware at its finest
Hacker News2Ha
Hall of Fame – Show some love to your contributors45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hall of Fame – Show some love to your contributors
Hacker News5Wh
Why We Love Giveaway (And You Should, Too)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why We Love Giveaway (And You Should, Too)
Hacker News1We
We Love Golang33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We Love Golang
Hacker News19