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Tokenbase
Usage, cost, and behavior tracking for AI coding agents
AI coding agent spend is scattered across every developer's machine: each agent keeps its own logs, in its own format, under its own plan. Tokenbase reads those logs where they already live and rolls them up into spend and usage by team, with Claude Code, Codex, Copilot, and Cursor normalized to one basis so the numbers actually compare. Everything is measured from the agents' own logs, not modeled from estimates. You can even use it to help you get hired!
Hey PH! Maker here.
AI coding agent spend lives on every developer's laptop. Claude Code, Codex, Copilot, and Cursor each keep their own logs, in their own format, under their own plan. So nobody can answer: what are we actually spending, and is it working?
Tokenbase reads those logs where they already live. One curl command installs a read-only collector, and everything rolls up into spend and usage by team, translated to one format so the numbers actually compare.
Two rules we won't break: every number is measured from the agents' own logs, never estimated. And your code and prompts never leave the machine.
Favorite detail: agents log their own rate limits, so you can see which sessions your plan cut off mid-work.
Ask me anything!
Finally a way to see what our team is actually spending across Claude Code, Copilot, Cursor, and Codex without chasing everyone for receipts. The normalized comparison view clicked instantly for me, way more useful than another dashboard full of vanity metrics.
honestly this looks super useful for keeping AI coding spend in check across the team. one thing that would be a nice add is a budget alert system, like setting monthly limits per team or project and getting a slack ping when you hit 80 percent. would save a lot of surprise overages
About Tokenbase on Product Hunt
“Usage, cost, and behavior tracking for AI coding agents”
Tokenbase was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #95 on the daily leaderboard. AI coding agent spend is scattered across every developer's machine: each agent keeps its own logs, in its own format, under its own plan. Tokenbase reads those logs where they already live and rolls them up into spend and usage by team, with Claude Code, Codex, Copilot, and Cursor normalized to one basis so the numbers actually compare. Everything is measured from the agents' own logs, not modeled from estimates. You can even use it to help you get hired!
Tokenbase was featured in Analytics (172.8k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.7k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 200.5k products, making this a competitive space to launch in.
Who hunted Tokenbase?
Tokenbase was hunted by Tyler Gibbs. 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.
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Tyler Gibbs