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LidRun
Keep AI working on your Mac — even with the lid closed
A safety-aware Mac runtime for Claude Code, Cursor, Codex, Docker, Ollama and local LLMs — with closed-lid workflows, timers, charging-only mode, low-battery auto-stop and thermal guardrails. Built for developers who need to keep AI/dev jobs running on Mac, keep a Mac awake with the lid closed, or use a more guided alternative to blind wake locks like caffeinate.
I built LidRun because AI coding tools exposed an old Mac problem in a new way.
Claude Code, Codex, Cursor, Docker, Ollama,... and long-running terminal jobs can keep working long after you step away. But macOS still thinks in old idle/sleep patterns. Close the lid, walk away, or leave a long run overnight — and the work may stop at the worst time.
The usual fixes are caffeinate, Amphetamine, or pmset. They are useful, and I respect them. But for daily AI/dev workflows, I wanted something more explicit:
Keep work running when it is still active
Support closed-lid workflows carefully
Stop on low battery or safety limits
Avoid leaving a blind wake lock on forever
Show why the Mac is being kept awake
That is the idea behind LidRun:
Agent running → stay awake.
Agent done or unsafe → release.
LidRun is free to start. The core safe workflow is free forever, and Pro is one-time with no subscription.
I’m especially looking for feedback from Mac developers using Claude Code, Cursor, Docker, Ollama, local LLMs, or long-running terminal jobs.
What should LidRun watch for next?
About LidRun on Product Hunt
“Keep AI working on your Mac — even with the lid closed”
LidRun was submitted on Product Hunt and earned 12 upvotes and 9 comments, placing #35 on the daily leaderboard. A safety-aware Mac runtime for Claude Code, Cursor, Codex, Docker, Ollama and local LLMs — with closed-lid workflows, timers, charging-only mode, low-battery auto-stop and thermal guardrails. Built for developers who need to keep AI/dev jobs running on Mac, keep a Mac awake with the lid closed, or use a more guided alternative to blind wake locks like caffeinate.
On the analytics side, LidRun competes within Mac, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how LidRun performed against the three products that launched closest to it on the same day.
Who hunted LidRun?
LidRun was hunted by Henry AGI. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LidRun including community comment highlights and product details, visit the product overview.
Henry AGI
Hey Product Hunt 👋 I’m Henry, maker of LidRun.
I built LidRun because AI coding tools exposed an old Mac problem in a new way.
Claude Code, Codex, Cursor, Docker, Ollama,... and long-running terminal jobs can keep working long after you step away. But macOS still thinks in old idle/sleep patterns. Close the lid, walk away, or leave a long run overnight — and the work may stop at the worst time.
The usual fixes are caffeinate, Amphetamine, or pmset. They are useful, and I respect them. But for daily AI/dev workflows, I wanted something more explicit:
Keep work running when it is still active
Support closed-lid workflows carefully
Stop on low battery or safety limits
Avoid leaving a blind wake lock on forever
Show why the Mac is being kept awake
That is the idea behind LidRun:
Agent running → stay awake.
Agent done or unsafe → release.
LidRun is free to start. The core safe workflow is free forever, and Pro is one-time with no subscription.
I’m especially looking for feedback from Mac developers using Claude Code, Cursor, Docker, Ollama, local LLMs, or long-running terminal jobs.
What should LidRun watch for next?