Alternatives
Products that do what TokenWatch does
Know your Claude.ai limits before you hit them
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I built a macOS menu bar app to track Claude usage in real time via API after hitting limits mid-flow too often. Signed and notarised by Apple. Open source. https://github.com/richhickson/claudecodeusage https://x.com/richhickson
Jan 2026 · github.com
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See exactly how much you spend on Claude, across every tool
Mar 2026 · github.com
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See what your Claude Code sessions actually cost
Jul 2026 · langwatch.ai
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I kept slamming into Claude Code limits mid-session and couldn’t find a quick way to see how close I was getting, so I hacked together a tiny local tracker. Streams your prompt + completion usage in real time Predicts whether you’ll hit the cap before the session ends Runs 100 % locally (no auth, no server) Presets for Pro, Max × 5, Max × 20 — tweak a JSON if your plan’s different GitHub: https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor It’s already spared me a few “why did my run just stop?” moments, but it’s still rough around the edges. Feedback, bug…
2025 · github.com
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Hey HN! I built a native macOS menu bar app that shows your Claude Code usage limits at a glance — no more getting rate-limited mid-flow. It reads your OAuth token from macOS Keychain, polls the Anthropic usage API, and displays your 5-hour and 7-day utilization as a clean progress bar right in your menu bar. Zero token consumption. Built with Swift + SwiftUI. MIT licensed. https://github.com/puq-ai/claude-meter
Feb 2026 · github.com
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See how much Claude you have left before you hit the wall
May 2026
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Jun 2026 · github.com
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Ask Claude Code where your usage went. Token audit, limit diagnosis and usage forensics — built from the session logs already on your machine, nothing leaves it. - kelviq/tare
10d ago · github.com
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See Claude's 2× usage window live in your macOS menu bar
Mar 2026 · double.raphaelduhs.at
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Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
Apr 2026 · github.com
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