Anthropic s usage analytics dashboard is only available to Team and Enterprise org admins. On a Pro or Max plan all you get is /usage and the claude.ai usage page, which show where you stand right now but not where you re heading. I looked at various open-source projects but none quite matched what I had in mind: an all-round control panel for Claude Code that s also a single binary, with no dependencies and no install steps.The other thing I cared about was forecasting the usage limits. Existing tools do burn-rate projections (ccusage) or percentile heuristics (Claude-Code-Usage-Monitor), which felt too simplistic for what I wanted - I was after a calibrated statistical model with proper credible intervals.I built claumon over the last few months in Go. It runs on Linux, macOS and Windows, with a Homebrew install. It has the usual consumption gauges, cost breakdowns and conversation history, plus two tabs for memory management: after a while I had memories scattered across several projects and wanted to see them in one place and prune the stale ones.In the last few weeks I focused on the forecast model. I started from an empirical-Bayes linear regression with Brownian noise, but ended up with a Gamma process for the path noise: token usage can t decrease over time, so Brownian motion, however mathematically convenient, was the wrong choice. The intervals are calibrated against your own recorded history, and there s tooling that scores the forecasts out-of-sample, so the coverage is checked rather than assumed.I wrote a formal, versioned spec for the model, and the implementation follows it: https://github.com/fabioconcina/claumon/blob/main/internal/f...Everything runs locally - nothing leaves your machine. It s open source, MIT. I d welcome feedback on the model especially.