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RepoSpend
Track AI coding token usage by repo, model, and tool
RepoSpend is a free, open source, local first dashboard for tracking AI coding token usage and API equivalent cost by repo, session, model, provider, and tool. It helps developers understand where their Codex, Claude Code, GitHub Copilot, and Cursor usage is going, without uploading code or prompts. No login, no telemetry, just local visibility for AI assisted coding.
Hey Product Hunt 👋
I built RepoSpend because I use AI coding tools every day, but I wanted a simple way to understand where the token usage was actually going.
I care a lot about performance and cost optimisation. Whether it is latency, infra cost, or AI usage, the first step is always measurement.
RepoSpend helps answer questions like:
Which repo is consuming the most tokens?
Which sessions are unusually expensive?
Which model or provider is driving most of the usage?
How much API equivalent cost would this usage represent?
Where can I improve my AI assisted workflow?
It is free, open source, and local first. It runs on your machine, reads local usage data, and does not upload your code or prompts.
Right now it supports Codex, Claude Code, GitHub Copilot, and experimental Cursor imports.
I would love feedback from developers using AI coding tools heavily, especially around what usage insights would be most useful next.
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About RepoSpend on Product Hunt
“Track AI coding token usage by repo, model, and tool”
RepoSpend was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #91 on the daily leaderboard. RepoSpend is a free, open source, local first dashboard for tracking AI coding token usage and API equivalent cost by repo, session, model, provider, and tool. It helps developers understand where their Codex, Claude Code, GitHub Copilot, and Cursor usage is going, without uploading code or prompts. No login, no telemetry, just local visibility for AI assisted coding.
RepoSpend was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
Who hunted RepoSpend?
RepoSpend was hunted by Mehmet Mustafa Demir. 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.
Want to see how RepoSpend stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.