Show HN: My Claude quota ran out in 10 minutes, so I made a tool to find out why (github.com)

A new tool called "tare" has been developed for Claude Code users facing rapid token depletion issues. This utility allows users to analyze their usage logs effortlessly by interpreting how tokens are consumed during Claude Code sessions. By simply querying in plain English, users can determine the reasons behind hitting their usage limits, track where their tokens are going, and identify which projects or files are the costliest. The tool streamlines the process, eliminating the need for complex dashboards or technical commands. This development is significant for the AI/ML community as it enhances user control over resource management in AI applications, particularly for those who rely heavily on Claude Code. By enabling users to dissect their usage data, tare reveals hidden inefficiencies in the model's operations, like the high costs associated with repeated context in sessions. Furthermore, the tool operates locally, ensuring that sensitive data remains private while providing insightful usage reports that can be easily shared or analyzed. With tare, users can optimize their workflows, avoid unexpected costs, and make more informed decisions when working with AI resources.