GitHub Actions for Agents

Hacker News

Hi everyone, I really dislike the fix, commit, and wait loop that is involved with CI. I decided to fix that by shortening the loop. I did that by mocking the GH Actions control pane: the runner is the official GH runner, but the API is a mock. What you get is caching in ~0 ms. Pause on failure. Let your agent fix it and retry, without pushing! It's easy for humans, but even easier to AI to validate that your actually going to pass CI - the result is that an agent won't tell you it's done if CI doesn't pass. https://github.com/redwoodjs/agent-ci

Visit product View on Hacker NewsMar 25, 2026

Share card

Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor

79%79% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

23%23% 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, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

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 News2

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 News13

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 News2

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 News1

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 News3

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 News2

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 News5

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 News3

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

GitHub Actions Dashboard29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Actions Dashboard

Hacker News2

Browse all products Analyze your launch