Actual performance
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Product HuntOn track for Day 1 leaderboard · Strong signals: slack · Missing: mac, agents, macos78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, podcasting26%26% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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GitHub Pull Request Bot54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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GitBar64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Every pull request, one menubar. GitHub, GitLab & Azure
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Prace – Pull Request Linter for GitHub50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prace – Pull Request Linter for GitHub
Hacker News1MergeGuard39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered pull request reviews for GitHub.
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Filter files in your GitHub pull request via Regular Expressions
Hacker News4