Tokenyst

What it does

Track your GitHub Copilot Chat usage, estimate token costs, and watch your spend against a monthly budget all from a VS Code sidebar and the status bar. Tokenyst is strictly local. It reads Copilot's own session files on your machine, estimates costs from a pricing table baked into the extension, and stores everything in a single JSON file under your home directory. Nothing is sent to any Tokenyst server.

• CA
  CodeBurn – Analyze Claude Code token usage by taskApr 2026 · github.com · ▲112

  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…

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  GitHub Copilot Workspace2024 · ▲435

  Copilot-native dev environment, designed for everyday tasks

• TP
  Token price calculator for 400+ LLMs2024 · github.com · ▲268

  Hey HN! Tokencost is a utility library for estimating LLM costs. There are hundreds of different models now, and they all have their own pricing schemes. It’s difficult to keep up with the pricing changes, and it’s even more difficult to estimate how much your prompts and completions will cost until you see the bill. Tokencost works by counting the number of tokens in prompt and completion messages and multiplying that number by the corresponding model cost. Under the hood, it’s really just a simple cost dictionary and some utility functions for getting the prices right. It also accounts for…

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  How to use ccusage2025 · ▲110

  Claude code usage analysis tool

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  Tokenomy.ai2025 · ▲105

  See your LLM token bill before you hit send.

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  Frugal Tokens – explore costs and usage across coding agents19d ago · demo.frugaltokens.com · ▲37

  I wanted to share a project I’ve been working on called Frugal Tokens. I originally built it because I was curious to see how much all of my sessions cost and how much cache misses affected that spend. I’d noticed people had widely different spend profiles and wanted to better understand what might contribute to that. As I’ve worked on this, the tool has grown to show more usage patterns across all of your sessions. It shows overall usage, estimated working time and overlapping sessions, and where your spend is coming from across models and cache misses. I also have a few session level…

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