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Token Watcher is an open-source tool that helps developers monitor token usage while working with Codex, Claude Code, and agentic coding workflows. Spot oversized prompts, runaway loops, and expensive sessions before they get out of hand.
Hey Product Hunt 👋
I built Token Watcher because I kept running into the same problem while using agentic coding tools like Codex and Claude Code: token usage is powerful, but often invisible.
When an agent is working well, it feels magical. But when it starts retrying, pulling in too much context, or looping through the same task, it can quietly burn through a lot of tokens before you notice. I wanted a lightweight way to see what was happening in my coding sessions without turning it into a full observability platform.
Token Watcher helps developers:
monitor token usage across coding-agent workflows
spot unusually large prompts
catch runaway loops earlier
understand which sessions are getting expensive
keep agentic coding more transparent and controllable
The project is open source and intentionally simple. It is built for developers who are already using Codex, Claude Code, or similar AI coding CLIs and want better visibility into how their prompts and sessions are behaving.
I’d love feedback from other builders using agentic coding tools:
What token/cost visibility do you wish these tools had by default?
Would this fit into your workflow?
What should I add next?
Thanks for checking it out.
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About Tokenwatch on Product Hunt
“Codex/Claude Code local token watcher”
Tokenwatch was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #8 on the daily leaderboard. Token Watcher is an open-source tool that helps developers monitor token usage while working with Codex, Claude Code, and agentic coding workflows. Spot oversized prompts, runaway loops, and expensive sessions before they get out of hand.
Tokenwatch was featured in Developer Tools (512.7k followers), Artificial Intelligence (469k followers), GitHub (41.2k followers) and Tech (623.9k followers) on Product Hunt. Together, these topics include over 347.8k products, making this a competitive space to launch in.
Who hunted Tokenwatch?
Tokenwatch was hunted by Kai K. 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 Tokenwatch stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kai K