Audit-grade carbon numbers for every AI token you use
How much energy and carbon does your AI use? CrbonFree meters every call, per model and per provider, and turns the answer into a report an auditor can check.
We built CrbonFree because AI had become a real line in company budgets, but it was missing from their carbon inventories. Every tool we found estimated it, usually from a calculator or an average per query. An auditor can't sign off on a guess, and from September 2026 the EU bans the carbon-neutral claims that used to paper over the gap.
CrbonFree connects to the providers you already pay (OpenAI, Anthropic, OpenRouter, Bedrock, Vertex and the Vercel AI Gateway) and reads the usage they meter, token by token. Each call gets an energy, water and CO2e figure. We publish the whole methodology, down to every factor and formula, and each figure comes with an uncertainty band. You end up with a report that someone outside your company can check.
Measurement is the centre of the product. Climate action is separate and optional: if a customer retires credits, that money never changes the measured footprint. We also put the numbers where engineers already work, so there's a CLI, TypeScript and Python SDKs, an MCP server, and a browser extension for the ChatGPT and Claude use that never touches an API key.
Our first beta customer is a billion-token-a-month user, and the SDKs and MCP server have passed 4,500 downloads with zero paid marketing. We write up what we measure on the blog, most recently what Meta's 73.7 trillion tokens a month weigh per employee.
Ask us anything about the methodology. It's the part we're proudest of, so try to break it.
About CrbonFree on Product Hunt
“Audit-grade carbon numbers for every AI token you use”
CrbonFree launched on Product Hunt on September 25th, 2026 and earned 57 upvotes and 1 comments, placing #64 on the daily leaderboard. How much energy and carbon does your AI use? CrbonFree meters every call, per model and per provider, and turns the answer into a report an auditor can check.
On the analytics side, CrbonFree competes within SaaS, Artificial Intelligence, Climate Tech and Vercel Day — topics that collectively have 537k followers on Product Hunt. The dashboard above tracks how CrbonFree performed against the three products that launched closest to it on the same day.
Who hunted CrbonFree?
CrbonFree was hunted by Sadi Mustafa. 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 CrbonFree including community comment highlights and product details, visit the product overview.
Sadi Mustafa
Hi everyone, Sadi from Crbon Labs.
We built CrbonFree because AI had become a real line in company budgets, but it was missing from their carbon inventories. Every tool we found estimated it, usually from a calculator or an average per query. An auditor can't sign off on a guess, and from September 2026 the EU bans the carbon-neutral claims that used to paper over the gap.
CrbonFree connects to the providers you already pay (OpenAI, Anthropic, OpenRouter, Bedrock, Vertex and the Vercel AI Gateway) and reads the usage they meter, token by token. Each call gets an energy, water and CO2e figure. We publish the whole methodology, down to every factor and formula, and each figure comes with an uncertainty band. You end up with a report that someone outside your company can check.
Measurement is the centre of the product. Climate action is separate and optional: if a customer retires credits, that money never changes the measured footprint. We also put the numbers where engineers already work, so there's a CLI, TypeScript and Python SDKs, an MCP server, and a browser extension for the ChatGPT and Claude use that never touches an API key.
Our first beta customer is a billion-token-a-month user, and the SDKs and MCP server have passed 4,500 downloads with zero paid marketing. We write up what we measure on the blog, most recently what Meta's 73.7 trillion tokens a month weigh per employee.
Ask us anything about the methodology. It's the part we're proudest of, so try to break it.