Actual performance
153upvotes
27comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos54%54% predicted probability of success on Product Hunt, 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, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto28%28% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive21%21% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting8%8% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Th
The Rooftop – people turn their rooftops into restaurants67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Rooftop – people turn their rooftops into restaurants
Hacker News3Th
The Rooftop – people turn their rooftops into restaurants67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Rooftop – people turn their rooftops into restaurants
Hacker News1
Aloude69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Be the voice people trust
Product Hunt+84AndroidHa
Hapibelly, Rotten Tomatoes for Restaurants55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hapibelly, Rotten Tomatoes for Restaurants
Hacker News40IntuiFood12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Logiciel de gestion de restaurants
Indie HackersAt
Attract more customers by highlighting why people trust you52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Attract more customers by highlighting why people trust you
Hacker News107Shoutout47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Attract more customers by highlighting why people trust you.
Indie Hackers6$2,000/mob2bBe
Ben Horowitz “Who Do You Trust” with Navigable Narration42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ben Horowitz “Who Do You Trust” with Navigable Narration
Hacker News4
CraveBuddy32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Revolutionizing the way people find restaurants
Product HuntAlook24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Share your AI agents with people you trust.
Indie Hackerscommitment-full-time