Au
Auto-fix lint errors with GitHub Actions
Hacker NewsAuto-fix lint errors with GitHub Actions
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos64%64% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting23%23% predicted probability of success on Indie Hackers, 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Gi
GitHub Actions for Pixela23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Actions for Pixela
Hacker News2St
Sticky Disks in GitHub Actions31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sticky Disks in GitHub Actions
Hacker News13Bu
Butler – GitHub Actions Oversight Across Organisations23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Butler – GitHub Actions Oversight Across Organisations
Hacker News2Gi
GitHub Actions for Agents33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Actions for Agents
Hacker News3Gi
GitHub Actions for MkDocs and GitHub Pages25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Actions for MkDocs and GitHub Pages
Hacker News1An
An OIDC issuer for GitHub Actions pull_request workflows30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An OIDC issuer for GitHub Actions pull_request workflows
Hacker News3Py
Pyenv Support for GitHub Actions23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pyenv Support for GitHub Actions
Hacker News2Gi
GitHub Actions Aibom Generation26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Actions Aibom Generation
Hacker News5De
Deploy to CPanel with GitHub Actions (FTP)29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy to CPanel with GitHub Actions (FTP)
Hacker News3De
Deploy without credentials with GitHub Actions and OIDC29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deploy without credentials with GitHub Actions and OIDC
Hacker News3