LidRun is the safe runtime layer for AI work on Mac. Keep Claude Code, Cursor, Docker, and local LLM workflows running even with the lid closed, with battery and thermal guardrails, Auto Mode, and smart release when work is done.
A startup from Open Source, No Single Home Country.
AI Workflow Continuity
Keep Claude Code, Cursor, Codex, Docker builds, Ollama and local LLM jobs running on your Mac even when the lid is closed.
Battery & Thermal Guardrails
Monitor battery level and thermal state during long runs, with low-battery auto-stop and thermal-aware protection instead of a blind wake lock.
Auto Mode (Smart Routing)
Keep your Mac awake only while a watched process is actively running. Idle apps won't hold your Mac awake unnecessarily.
Closed-Lid Runtime
Continue AI and developer workflows with the MacBook lid closed without requiring an external display setup.
Smart Auto Release
Automatically release the wake lock and let your Mac return to normal sleep when the task is finished.
Developer CLI Support
Built for terminal-first workflows with CLI support for developers running scripts, builds, agents and automation.
Live System Monitoring
View battery status, temperature information and runtime state directly from the menu bar.
Safety-First Runtime Engine
Designed as a safe runtime layer for AI work on Mac โ helping reduce risks during long unattended sessions.
LidRun started from a simple frustration: starting a long AI coding session or overnight build, closing a MacBook to move around, and discovering the workflow stopped because macOS went to sleep.
Existing tools could keep a Mac awake, but they were mainly designed for simple scenarios like keeping a screen active. Long AI and developer workloads created a different challenge: keeping work running while being more aware of battery and thermal limits. LidRun was built to solve that gap โ giving Mac users a safer way to keep AI and development workflows running even with the lid closed.
LidRun is built for a new category: the safe runtime layer for AI work on Mac. Unlike traditional keep-awake tools that simply prevent sleep, LidRun is designed for long AI and developer workflows โ keeping Claude Code, Cursor, Codex, Docker, and local LLM jobs running even when the lid is closed.
Its key difference is safety-aware automation: battery monitoring, thermal awareness, low-battery auto-stop, Auto Mode, and automatic release when work is finished. LidRun helps developers keep AI workloads running without relying on a blind wake lock.
Traditional tools like caffeinate and Amphetamine are excellent for simple keep-awake use cases. LidRun focuses on a different problem: keeping long-running AI and developer workflows alive when you leave your Mac.
LidRun combines closed-lid runtime support with intelligent controls โ keeping your Mac awake only when work is actually running, monitoring battery and thermal conditions, and automatically returning the Mac to normal sleep when the task is complete.
It is built for developers, AI users, and anyone running unattended workloads on a Mac.
LidRun uses native macOS technologies to provide reliable runtime control:
LidRun is built without kernel extensions or display simulation hacks, focusing on documented macOS capabilities.
LidRun is designed for Mac users running long AI and developer workflows, especially:
LidRun is currently designed for individual developers, AI builders, and Mac power users.
Typical users include:
LidRun appears to be a lesser-known online platform, and without verified, up-to-date information on its current offerings, reliability, or customer feedback, it's difficult to confirm its overall quality or trustworthiness. Prospective users should conduct their own due diligence, such as checking recent reviews, verifying business legitimacy, and testing customer support before committing.
We have collected here some useful links to help you find out if LidRun is good.
Check the traffic stats of LidRun on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of LidRun on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LidRun's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of LidRun on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about LidRun on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is LidRun good? This is an informative page that will help you find out. Moreover, you can review and discuss LidRun here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.