This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
AI Spend Tracker
oken-usage , cost-tracking , ai-coding-agent
If you run multiple AI coding tools (Claude Code, Codex, Hermes, OpenClaw, OpenCode, GitHub Copilot, Kimi), you're probably flying blind on how much you're actually spending. AI Spend Tracker reads session data from every agent's local storage and shows you the big picture.
Hey PH! I'm Vick, a full-stack developer and solo maker.
I built ai-spend-tracker because I was juggling Claude Code, Hermes, Codex, OpenCode, Copilot, OpenClaw, and Kimi every day — and had NO idea how much I was spending across all of them. Each tool has its own billing, none of them talk to each other, and the costs add up silently.
So I built a CLI that reads the local logs from 7 different AI coding agents, normalizes their wildly different data formats into one standard model, and gives you a clean report: tokens used, estimated cost, by agent and by model.
It's open source (MIT), cross-platform, and built with a plugin architecture — adding a new agent is just writing one collector.
I'm a frontend developer who learned Python backend while building this (with heavy AI assistance). This project went from idea to PyPI release in 3 months, solo.
Would love feedback from other devs using multiple AI coding tools:
- What other agents should I support?
- How do YOU track your AI tool costs?
- What would make this a daily-use tool for you?
Thanks for checking it out! 🚀
About AI Spend Tracker on Product Hunt
“oken-usage , cost-tracking , ai-coding-agent ”
AI Spend Tracker was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. If you run multiple AI coding tools (Claude Code, Codex, Hermes, OpenClaw, OpenCode, GitHub Copilot, Kimi), you're probably flying blind on how much you're actually spending. AI Spend Tracker reads session data from every agent's local storage and shows you the big picture.
On the analytics side, AI Spend Tracker competes within Open Source, Developer Tools, GitHub and Data & Analytics — topics that collectively have 631k followers on Product Hunt. The dashboard above tracks how AI Spend Tracker performed against the three products that launched closest to it on the same day.
Who hunted AI Spend Tracker?
AI Spend Tracker was hunted by Vick Peng. 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.
For a complete overview of AI Spend Tracker including community comment highlights and product details, visit the product overview.
Vick Peng