Your tools' built-in meters skip sessions, miss whole days, and only count themselves. HashMeterAi reads the raw local transcripts every tool already writes, and shows you the true picture — across all of them, in one place. 100% offline. Nothing leaves your machine.

What you get

• The money number. Your estimated dollar value of AI compute used at public API rates — the stat everyone wants to screenshot.
• Processed tokens. The truest measure of work the model actually did (not inflated by cached re-reads), with the "approximately N times The Lord of the Rings" yardstick.
• Average focus time. Honest active-time-with-AI per day.
• Your AI persona. For example, "Deep Diver, Night Owl" — generated from your real patterns, and every claim shows the number behind it. No vanity, no lies.
• Where you stand. An honest "top X% of AI developers" read, computed against a documented, fully offline usage benchmark modeled from public 2025–26 figures — always shown with the number behind it, never a made-up rank.
• Achievements. Sixty ranked trophies across Volume, Intensity, and Mastery (twenty each) — from First Steps to the Billion-token clubs, Night Owl to Whale. Every token trophy counts processed (real-work) tokens, not the inflated billed footprint, and shows its true earn date on a tier-shaped medallion. Your three rarest headline your Share card.
• Calendar of activity. Your daily usage as a real calendar.
• One-click Share card. A clean branded image of your stats and persona to post. Brag, honestly.

Privacy is the whole point

HashMeterAi is built to read a little and send nothing:

The only thing that ever leaves is a brag-card image that you choose to export. See SECURITY.md.

Supported tools

Models. Model names and public list-price rates are recognized for the Claude, GPT/Codex, Kimi, Qwen, GLM, MiniMax, and Gemini families — so even a non-Anthropic model run through Claude Code is named and costed correctly, never lumped under a generic label.

Adding a tool is one Rust file — the architecture is a pluggable source adapter. PRs welcome.

Screenshots

Install

Download the installer for your OS from the Releases page, or build from source (below).

Why your OS shows a warning. HashMeterAi is a free, open-source project and ships unsigned — code-signing certificates (an Apple Developer ID, a Windows EV certificate) are paid, ongoing costs. The warning means "not signed," not "unsafe": there's no network access, and every line of source is in this repo for you to read or build yourself. Each warning below is a one-time step.

macOS — .dmg

1. Open the .dmg and drag HashMeterAi to Applications.
2. On first launch macOS says "HashMeterAi can't be opened because Apple cannot check it for malicious software." Get past it once, either way:
   • Right-click (or Control-click) the app → Open → Open, or
   • System Settings → Privacy & Security, scroll to the HashMeterAi message → Open Anyway.
3. If instead you see "HashMeterAi is damaged and can't be opened" (quarantine, common on Apple Silicon), clear the quarantine flag in Terminal, then reopen:

   xattr -dr com.apple.quarantine /Applications/HashMeterAi.app

Windows — .msi / .exe

1. Run the installer. Windows SmartScreen shows "Windows protected your PC — unknown publisher."
2. Click More info → Run anyway (one time only).
3. If your browser flags the download, choose Keep.

Linux — .AppImage or .deb

Linux doesn't block unsigned apps the way macOS and Windows do, so there's no "unknown developer" prompt.

• AppImage — make it executable and run:

  chmod +x HashMeterAi_*.AppImage
  ./HashMeterAi_*.AppImage

  If it won't start, install FUSE: sudo apt install libfuse2 (Debian/Ubuntu) or your distro's equivalent.
• .deb (Debian/Ubuntu):

  sudo dpkg -i HashMeterAi_*.deb
  sudo apt-get install -f   # pull in any missing dependencies

Build from source

git clone https://github.com/Hash-7777/HashMeterAi.git
cd HashMeterAi
npm install
npm run tauri dev      # run it
npm run tauri build    # produce a native bundle in src-tauri/target/release/bundle/

Requires Rust (stable) and Node 18+. Building from source skips every OS warning above — the app is local to your machine.

Tech

Tauri v2 + Rust + vanilla JavaScript — no Electron, no bundler. One small native binary (target under 15 MB). All parsing and aggregation in Rust (parallel and incremental, so refresh is instant). The UI is plain HTML, CSS, and JS.

The Hash ecosystem

HashMeterAi is one of three local-first, privacy-first apps by the same developer — no cloud, no telemetry, your data stays on your machine:

HashCortX and HashCerebrum write a local token-usage log that HashMeterAi reads, so your usage across the whole ecosystem is measured accurately in one place.

Contributing

Issues and PRs welcome — especially new source adapters. Keep it honest, local, and light.

Disclaimer

• Estimates, not bills. The cost figure is the value of compute at public API list prices — on a subscription you don't pay per token. Token counts are read from each tool's local files and may differ from a provider's official dashboard.
• Not a live ranking. The "top X%" standing is a percentile against a static, modeled 2025–26 usage benchmark computed entirely on your machine — it is labeled as a modeled benchmark, not a real-time leaderboard.
• Trademarks. All product names, logos, and brands are the property of their respective owners and are used for identification only. HashMeterAi is independent and is not affiliated with, endorsed by, or sponsored by Anthropic, OpenAI, Google, Alibaba, Moonshot AI, Z.ai, MiniMax, or any other tool named.
• No warranty. HashMeterAi is provided "as is", without warranty of any kind, as set out in the license.

License

Apache-2.0, Copyright 2026 Seif Hashish (Hash-7777). Provided "as is", without warranty of any kind.

_{The dollar figure is the value of compute at public API list prices — on a subscription you don't pay per token. The "top X%" standing is a percentile against a static benchmark curve modeled from public 2025–26 AI-coding usage data (≈$6/dev-day on Claude Code, agentic tasks of 1–3.5M tokens, power users at millions/day) — computed entirely on your machine, shown with its underlying number, and labeled as a modeled benchmark, not a live ranking. Honest by design.}