Open Source Dashboard Reveals Actual Claude Code Compute Costs

What This Tool Does
A developer built an open source dashboard that calculates your actual compute costs when using Claude Code. This addresses a visibility gap: Anthropic's /limits command only shows a percentage without context, and there's no built-in way to see real compute costs.
How It Works
The developer reverse-engineered the rate limit formula from API response headers. Claude Code uses a weighted token cost model where input, output, cache creation, and cache read are all priced differently. Once you know the weights, you can calculate exact dollar burn per session.
Dashboard Features
- Real-time usage percentage (matches Anthropic's internal number exactly)
- Actual dollar cost
- Burn rate
- Peak hours tracking
- Shows which skills/hooks are firing
Key Finding
The developer discovered their $100/month maximum plan burned $13,286 in equivalent API compute in one month. This reveals the current level of subsidization, suggesting many users will face cost shocks when subsidies end.
Compatibility and Setup
The dashboard works for TUI, VS Code, and T3 Code users. It's particularly useful for IDE users who currently have zero visibility into their limits. The tool runs locally and takes approximately 60 seconds to set up.
📖 Read the full source: r/ClaudeAI
👀 See Also

Destiny: Claude Code Plugin for Deterministic Fortune Telling Using Classical East Asian Astrology
Destiny is a Claude Code plugin that computes your eight-character birth chart, today's day pillar, and I-Ching hexagram deterministically (Python), then uses Claude to generate prose readings — no LLM-hallucinated horoscopes.

Rowboat: Open-Source AI Coworker with Knowledge Graph Memory
Rowboat is an open-source app that transforms your work into a living knowledge graph, storing data locally as Markdown, and offering AI-driven local assistance.

Qwen2-0.5B Fine-Tuned for Local Task Automation with llama.cpp
A developer fine-tuned Qwen2-0.5B for task automation using LoRA on ~1000 custom examples, creating a 300MB GGUF model that runs locally on CPU via llama.cpp. The model takes natural language tasks, detects task types, and generates execution plans with CLI commands and hotkeys.

Intuno: Open-Sourced Network for AI Agent Discovery and Communication
Intuno is an open-source network where AI agents register capabilities, discover each other via semantic search, and invoke functions with 3 lines of Python code. It includes MCP integration for use with Claude Desktop or Cursor.