If you use GitHub Copilot, Cursor, or any LLM-powered coding assistant, you probably have no idea what you're actually spending per sprint.
I built a tiny tracker to fix that.
The hidden cost of AI coding
AI coding tools are billed by the token. Most teams don't connect that billing to actual engineering output. The result: surprise invoices, no budget control, and zero visibility into which projects or developers are consuming the most.
What the AI Coding Cost Tracker does
It turns token usage into actionable finance.
- Real-time dashboards for Copilot, Cursor, and OpenAI-powered tools
- Per-developer and per-project cost breakdowns
- Exportable reports for budget reviews
- One-time £5 price — no subscription
I use it to see which refactors eat tokens, which features balloon in cost, and when a junior dev is learning the ropes versus shipping fast.
Why this matters for indie hackers and SaaS founders
If you're building a product on a budget, token costs are part of your unit economics. Knowing your AI spend lets you price features correctly and avoid silent margin bleed.
Get it
The tracker is live at:
theaisuite.pages.dev/copilot-token-billing/
It takes two minutes to set up. No recurring fees. Just clean data.
Canonical URL: https://theaisuite.pages.dev/copilot-token-billing/
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