I
I made an app for stories that you truly own
Hacker NewsI made an app for stories that you truly own
Share cardActual performance
4points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto76%76% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, 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.
Incorrect prediction on native model
Similar products
Up
Upvoted Stories49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Upvoted Stories
Hacker News2Su
Sundance – A HN Wrapper Graying Out Stories You Already Saw47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sundance – A HN Wrapper Graying Out Stories You Already Saw
Hacker News4De
DevRel Origin Stories47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DevRel Origin Stories
Hacker News2Di
Diversity-Related HN Stories, Collected42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Diversity-Related HN Stories, Collected
Hacker News2Ze
Zeitgeist – Stories for You31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zeitgeist – Stories for You
Hacker News2Mo
Most Penalized HN Stories56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Most Penalized HN Stories
Hacker News19SideHustler58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Telling the stories of Africans and their side hustles.
Indie Hackers1educationTheImmigrantPost24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Inspiring stories of immigrants
Indie Hackers
Tellus31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Grandpa’s stories, preserved for his grandkids
Product Hunt+139WritingBugJail58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The first truly new debugger since 1970s
Indie Hackers3programming