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
Benchmark: Gemma4 12B vs Qwen3 8B quantized on 24GB Mac Mini
A developer tested Gemma4 12B against Qwen3:8b-q4_K_M on a 24GB Mac Mini using two prompts. Qwen3 processed prompts 4-5x faster, while Gemma4 generated output slightly faster.
Agent-Desktop: Structured Desktop Automation via OS Accessibility Trees
Agent-desktop is a cross-platform CLI (Rust binary, ~15 MB) that exposes 53 commands with JSON output for inspecting and operating native apps through OS accessibility APIs — no screenshots or vision models needed. It uses progressive skeleton traversal to reduce token usage by 78-96% on dense apps like Slack or VS Code.
KANBAII: A Visual Kanban Board Built with Claude Code for AI-Assisted Development
A developer built KANBAII, a local kanban board tool entirely with Claude Code over two months. It provides visual task management, AI planning, and parallel execution modes for Claude Code workflows.
Homelab AI Sentinel: Self-Hosted Monitoring Assistant with LLM Integration
Homelab AI Sentinel is a self-hosted tool that processes monitoring webhooks through an LLM to generate plain-English diagnoses. It supports 11 alert sources, 10 notification platforms, and works with any OpenAI-compatible endpoint including Ollama and LM Studio for local inference.