Show HN: I built a 0-CPU desktop app to track LLM limits,Python/DjangoPyWebView (github.com)

A developer has introduced a desktop application designed to streamline the monitoring of reset timers for various language models (LLMs) like Gemini Flash, Gemini Pro, and Opus/GPT across multiple accounts. The tool allows users to manage up to 20 distinct accounts, resetting timers as needed, which enhances usability for those working with multiple AI models. The application is built with Django and MongoDB for the backend, while using PyWebView as a GUI wrapper to deliver a native macOS experience. This application is significant for the AI/ML community as it addresses the common challenge of tracking model usage and reset schedules, which can vary across different platforms. By providing a standalone interface with efficient account management and timer tracking, it simplifies workflows for researchers and developers working with LLMs. With its glassmorphism design and accessibility through straightforward installation instructions, this tool encourages collaboration and improvement, making it an accessible resource for the growing AI community.