UsageAtlas
Free open-source AI usage tracker for coding tools.
Developer Tools·Analytics·Productivity
What is UsageAtlas?
UsageAtlas is a free, open-source desktop application designed to track AI coding usage across fourteen different providers, including tools like Codex, Claude Code, Cursor, and GitHub Copilot. It aggregates token history, available cost estimates, credits, and usage limits into a single view so you can monitor your activity without constantly checking multiple platforms.
Built for developers and engineers who rely on multiple AI coding assistants, the app helps you understand your model mix, working rhythm, and remaining capacity. It operates locally by default, ensuring your prompts, responses, and coding-tool credentials remain private on your computer without requiring an account to get started.
Unlike traditional monitoring tools, UsageAtlas provides optional cloud saving and public profiles if you choose to share your stats, activity, streaks, and favorite models. It runs on macOS, Windows, and Linux, offering desktop notifications for usage limits and reset cycles to help you pace your work.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
You can link to your products or to your company somewhere in there, but it should not be the front and center call to action — because then people will be suspicious of your intentions, and they may not react as strongly to what is valuable content.
Bury the CTA — the product link belongs deep inside genuinely helpful content
An overt product CTA in Reddit-style helpful content kills conversion because readers smell the pitch. Keep the link deep inside the post and make the content stand on its own — the click-through rate is higher when the audience has already been helped.
Even if I don't do anything with that data I think it's important to have that information... I started doing that when I did Create and Sell and launched it to the world at first, immediately I was segmenting but I wasn't doing anything with that data
Segment at opt-in even if you do nothing with the data
Bake two segmentation questions into your opt-in from launch day — even before you're ready to act on them. It's brutally hard to retrofit identity data onto an existing 50K-subscriber list; far easier to ask each new subscriber on day one. The first job of the data is market research on your own audience; conditional emails come later.
There's a play for whatever you're stuck on.
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