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Tokens 4 BreakfastThe AI spend guard for builders.
Claude Code

See your Claude Code rate limit before it ends the session.

Tokens 4 Breakfast keeps the Claude Code 5-hour window visible in your menu bar so you do not discover the limit in the middle of an agent run.

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Why this page exists

Claude Code Rate Limit Tracker for macOS

See your Claude Code runway before a long session cuts out. Track the 5-hour window from your Mac menu bar and catch pressure before it breaks your flow.

  • Visible 5-hour Claude Code window from the Mac menu bar
  • Local-first tracking with no account and no telemetry
  • Free download first, Pro unlock when you want the full picture

FAQ

Does it track the Claude Code 5-hour limit on Mac?

Yes. Tokens 4 Breakfast keeps the Claude Code session window visible so you can see pressure building before the limit hits.

Do I need a Claude API key to use the Claude Code tracker?

No for Claude Code detection itself. The app is built to pick up local Claude Code usage without turning setup into another project.

Tracking scope

Scope, fit, and practical use

These pages are intentionally practical: buyer-intent SEO should answer the exact decision a builder is trying to make before asking for a download.

Claude Code limits are a workflow problem

Claude Code rate limits hurt most when they arrive mid-session: after the agent has loaded context, explored the repo, started making changes, and become part of your flow. The problem is not only the limit itself. The problem is discovering the limit too late. Tokens 4 Breakfast keeps Claude Code pressure visible from the Mac menu bar so you can decide whether to compact context, finish the current patch, or avoid starting another long run.

Track the session before it becomes expensive

Long agent runs can burn through tokens through repeated tool calls, broad file reads, noisy logs, and retries. A visible session signal helps you notice when the work has shifted from productive to wasteful. Instead of waiting for the model to slow down or stop, you can step in earlier, narrow the prompt, split the task, or switch to a smaller follow-up.

Use it with normal Claude Code habits

The tracker works best alongside disciplined Claude Code habits: keep project rules in the right instructions file, clear unrelated sessions, compact when context is still valuable, and avoid asking one agent to solve too many unrelated problems. Tokens 4 Breakfast is the ambient signal layer that tells you when those habits matter right now.

Why this is better than checking later

Usage pages and billing history are retrospective. They explain what already happened. A menu bar signal gives you a chance to change behavior while the session is still alive. For solo builders, that is the practical difference: you do not need a finance dashboard, you need a small warning before a focused coding session runs into a wall.

Comparison context

How Tokens 4 Breakfast compares with the usual tracking options

Provider dashboards, spreadsheets, and scripts all have a role. The gap is live multi-provider visibility while you are still working.

Provider dashboards

Best for invoices and official account history, but fragmented when your AI stack spans several vendors. Tokens 4 Breakfast makes the day-to-day signal easier to see from one Mac menu bar, especially during long build sessions where switching tabs means losing the thread.

Spreadsheets

Useful for manual planning, but they drift stale unless you maintain them. Tokens 4 Breakfast is designed for live operating awareness instead of after-hours reconciliation.

Open-source scripts

Good for narrow technical checks, especially inside one provider or workflow. Tokens 4 Breakfast packages the broader multi-provider view, privacy posture, and conversion-ready Mac UX.

Workflow bridge

Use T4B before starting another long agent run

Open Tokens 4 Breakfast before the session gets deep. If Claude Code pressure is already high, split the task, compact context, or reserve the remaining runway for the part that actually needs the strongest model. The product turns rate-limit awareness into a visible habit instead of a post-failure explanation.

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