Lacquer – GitHub Actions for AI workflows in a single Go binary

Hacker News

Hey folks, I wanted to share an open source project I've been working on that might interest some of you. Lacquer is a lightweight AI workflow engine that turns repeatable engineering tasks into reliable YAML workflows that never skip a step. Think GitHub Actions, but for AI-powered internal tools. I built this because I needed something quick and practical for my day-to-day engineering work. The market is saturated with no-code automation GUIs, but they don't fit my workflow as an engineer. With Lacquer, I wanted: - Local First: Prototype workflows directly in your terminal and editor - Version Control: Plain YAML files you can commit to GitHub and share with your team - Familiar DSL: GitHub Actions-like syntax that leverages what you already know - Single Binary: Ships as one Go binary (~40MB) - no complex dependencies or container orchestration - Easy Deployment: Run locally with `laq run` or deploy to production with `laq serve` It's early days, but I'd love to hear if this scratches an itch for you, or if you have ideas for what would make it more useful for your workflows. GitHub: https://github.com/lacquerai/lacquer | Website: https://lacquer.ai | Docs: https://lacquer.ai/docs Thanks for checking it out!

Visit product View on Hacker NewsAug 22, 2025

Share card

Actual performance

11points

1comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: single, tasks, code · Missing: mac, agents, macos

96%96% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

60%60% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

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

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

A local-first, reversible PII scrubber for AI workflows51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A local-first, reversible PII scrubber for AI workflows

Hacker News38

Reuse GitHub Actions workflows across repositories34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reuse GitHub Actions workflows across repositories

Hacker News4

Pipelex – Declarative language for repeatable AI workflows66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pipelex – Declarative language for repeatable AI workflows

Hacker News122

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 News3

GitHub Actions I built for automating Terraform workflows30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Actions I built for automating Terraform workflows

Hacker News1

Tersa76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualize your AI workflows

Product Hunt+237Open Source

Browse all products Analyze your launch