Actual performance
261upvotes
36comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto84%84% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos74%74% 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, personal46%46% predicted probability of success on TrustMRR, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ho
How AI Sees You43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How AI Sees You
Hacker News3Caret39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI that sees everything and completes you everywhere.
Indie Hackerscommitment-full-timeI
I Implemented Shadow Volumes in WebGL70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Implemented Shadow Volumes in WebGL
Hacker News1Shadow63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The interface AI needs. One that sees, hears, and runs.
Product Hunt+218Productivity
TwinMind78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI sidebar that listens, sees tabs, and helps proactively
Product Hunt+509ProductivityShadow43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Botless AI meeting assistant that completes tasks
Indie HackersHintedly13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your AI Co-Pilot, Reimagined. Listens. Sees. Get answers!
Indie HackersWh
What AI sees in images32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What AI sees in images
Hacker News2Sh
Shadowfront quickly bootstraps ClojureScript, shadow-cljs and Reagent44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shadowfront quickly bootstraps ClojureScript, shadow-cljs and Reagent
Hacker News2Bu
Built a shadow banning test. Banned?38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Built a shadow banning test. Banned?
Hacker News1