What is CC Watcher?
CC Watcher is a free, lightweight macOS overlay that tracks your Claude Code token usage in real time within the rolling 5-hour usage window. It shows a small floating window that stays always on top and updates minute by minute, hook-driven, so you can see exactly how much of your budget you've used without breaking your flow. The app is completely local with zero configuration and no telemetry — nothing about your usage ever leaves your machine. It's signed and notarized with an Apple Developer ID and ships as a universal binary, so it runs natively on both Apple Silicon and Intel Macs. CC Watcher is built for Claude Code users who want a quiet, dependable gauge of their token consumption right on the desktop, helping them avoid surprises as they approach the limit of each 5-hour window.
What is CC Watcher used for?
AI tool for fun workflows
How much does CC Watcher cost?
Pros and cons
Pros
• Tracks Claude Code token usage in real time across the 5-hour window • Tiny always-on-top floating window, updated minute by minute • 100% local with no telemetry — data never leaves your Mac • Zero configuration and completely free • Apple Developer ID signed and notarized; universal binary for Apple Silicon and Intel
Cons
• macOS only — no Windows or Linux version • Single-purpose: it monitors usage but doesn't manage it • Useful only to people actively using Claude Code
Questions about CC Watcher
What is CC Watcher?
CC Watcher is a free, local macOS overlay that tracks your Claude Code token usage in real time within the 5-hour usage window.
Is CC Watcher free?
Yes. CC Watcher is completely free and 100% local.
Does CC Watcher collect any data?
No. It has no telemetry and requires zero configuration — nothing about your usage leaves your machine.
Which Macs does CC Watcher support?
It's a universal binary, signed and notarized by Apple, that runs on both Apple Silicon and Intel Macs.
What are the best alternatives to CC Watcher?
Compare this tool against close alternatives in the same category, focusing on output quality, onboarding speed, and workflow fit.
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