Show HN: CostClaw, a local audit of your Claude Code logs (www.costclaw.io)

CostClaw, a new tool showcased on Show HN, allows users to conduct local audits of their Claude Code logs, offering insights into spending patterns and efficiency. By analyzing past sessions, CostClaw identifies an alarming $1,284.50 in recoverable costs due to excessive cache misses—highlighting inefficiencies in resource allocation. The tool reviewed 1,840 sessions across 41 projects, with an impressive 95.1% cache hit rate but revealed that prolonged sessions diminished cache reuse significantly. This development is significant for the AI/ML community as it underscores the growing importance of cost management and resource optimization in model deployment. CostClaw scores various aspects of setup and configuration, such as context hygiene and prompting patterns, revealing areas for improvement. For instance, it recommends utilizing less expensive models for minor sessions and optimizing session management to prevent unnecessary spent. As AI applications grow increasingly resource-intensive, tools like CostClaw facilitate more sustainable practices, allowing developers to balance performance with cost-efficiency effectively.