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CrbonFree

Audit-grade carbon numbers for every AI token you use

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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.

PH · launched Sep 25, 2026 · 59 upvotes (top 3%) · 0 views

Niche: ai token and inference cost trackers · 82 launches, 5 in the last 7 days · Explore this niche →

Category and tags

  • Energy & climate
  • Observability & eval
  • B2B
  • AI feature
  • Commercial product
  • SaaS
  • Artificial Intelligence
  • Climate Tech
  • Vercel Day

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Could you build this?

Partial Metering API token calls via a proxy is standard, but producing legitimate 'audit-grade' carbon accounting requires verified datacenter energy models, grid carbon intensity datasets, and compliance with GHG protocol standards.

What it would actually take: Architecture requires a high-throughput API gateway/reverse proxy to intercept and meter AI token usage across providers. The hard part is the carbon conversion methodology: mapping token volume to specific GPU hardware architectures (H100, A100), querying regional hourly grid carbon intensity APIs (e.g., WattTime/Electricity Maps), and complying with GHG Scope 2/3 reporting frameworks. This requires sustainability domain knowledge and established lifecycle assessment methodologies.

Competitors

Other products that read as similar to this one : 23 launches clear the similarity bar, closest 8 shown.

Attention rank: #1 of 24 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 79 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.