Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto95%95% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released33%33% 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, podcasting27%27% 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, revenue19%19% 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.
Correct prediction on native model
Similar products
MockRound47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Interview Simulations
Indie Hackers1$1,200/moaiInterYue63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Interview Assistant
Indie Hackers1ai
Addis AI Interview23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-Powered Interview Practice
Product Hunt+5Interviewise22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Interview Coach
Indie HackersInterviewise22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Interview Coach
Indie HackersTe
TechGrill – AI Interview Practice40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TechGrill – AI Interview Practice
Hacker News1HiredCopilot43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI résumé tailoring you can defend in an interview
Indie Hackerscommitment-full-timeSo
Sotto – AI interview assistant for Mac49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sotto – AI interview assistant for Mac
Hacker News1Linkjob.ai62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Interview Copilot
Indie Hackers1$1,000/moaiIn
Interview with Dave McClure, 500Startups34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interview with Dave McClure, 500Startups
Hacker News1