Show HN: AI Meter – Local token usage with energy and water estimates

A developer created AI Meter, a local token usage tracker that estimates energy and water impact from AI coding-tool logs, after discovering their personal AI usage consumed nearly 1 MWh in the past three months. The tool, available at ai-meter.app, works offline without login or tracking, using formulas calibrated from Oviedo et al.'s production-scale inference model and LBNL's U.S. data-center water usage effectiveness scenario.

Problem I wanted to track how many tokens I am burning and it's estimated energy and water impact. WHAT THIS IS A local token usage tracker that works across different coding harnesses and estimates energy and water impact MY EXPERIENCE Tracking this really put things into perspective. My personal usage is close to 1 MWh in the past three months which I had no idea about. This does not include my AI usage at work which is probably 10x. DEMO If you are interested in tracking these numbers locally, try out: https://ai-meter.app https://ai-meter.app - It reads historical data if the files are present. Works completely locally except to check if there is an update for the widget - No login. No analytics. No tracking. ---- On estimates AI Meter measures tokens from local AI coding-tool logs, then estimates: Electricity: tokens ÷ 1M × 0.39 kWh, calibrated from Oviedo et al.’s production-scale inference model. Direct cooling water: electricity ÷ 1.20 PUE × 0.45 L/IT-kWh, using LBNL’s U.S. data-center WUE scenario. These are adjustable estimates, not provider measurements. They exclude training, hardware manufacturing, electricity-generation water, and local-device energy. ---- Hope you find this interesting Please feel free to give feedback, would love to make this better Comments URL: https://news.ycombinator.com/item?id=49043860 https://news.ycombinator.com/item?id=49043860 Points: 1 Comments: 0