Show HN: HashMeterAi – Private AI Token Real Usage Meter for All Models (github.com)

HashMeterAi has launched as a local-first, privacy-focused AI token usage meter that aggregates usage from various AI coding tools like Claude Code and Codex into a single, user-friendly dashboard. Unlike existing built-in meters, which can miss significant usage data, HashMeterAi reads raw local transcripts, ensuring accurate token counts without sending any data off the user's machine. This innovative tool allows users to track their AI compute costs at public API rates, active usage time, and even provides a personalized AI persona based on their interaction patterns. The significance of HashMeterAi lies in its commitment to user privacy and data integrity in an age where AI usage is proliferating. It operates entirely offline, meaning no telemetry or data leaks, which is especially appealing for developers concerned about security. The tool also features a gamified element with achievements and trophies for usage milestones, encouraging developers to engage more with their AI tools. Built using Tauri and Rust, HashMeterAi promises swift performance while keeping the application lightweight, showcasing a growing trend towards local processing in a domain often reliant on cloud computing.