• •Jingbiao Mei released Tokdash, an open-source dashboard designed to track API token usage and quotas locally.
• •The tool provides a centralized interface for users to monitor consumption across various LLM services without relying on third-party analytics.
• •While the GitHub repository establishes the core functionality, there is no documentation yet on supported API providers beyond standard OpenAI-compatible endpoints.

Developer Jingbiao Mei launched Tokdash, a local dashboard designed to track AI API token usage and quota limits. Unlike cloud-based monitoring services that often require third-party data sharing, this tool allows users to maintain full control of their usage metrics on their own infrastructure. However, the project currently lacks extensive community feedback and detailed performance benchmarks to verify its reliability at scale. Whether Tokdash gains traction among power users depends on its ability to support a wide range of LLM providers and offer seamless integration with existing dev workflows.