GitHub Open Source
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🌟 GitHub Open Source 🌟

Discover fascinating projects from GitHub! We curate the best repositories, highlight innovative ideas, and share tips for developers. Join us to explore hidden gems and fuel your tech passion! πŸš€
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πŸš€ OpenStock | TypeScript

🎯 Primary Use Case:
Tracking stock market prices and company information with customizable alerts.

✨ Key Features:
β€’ Real-time price tracking
β€’ Personalized alerts
β€’ Detailed company insights
β€’ Open-source and free

πŸ“– Summary:
OpenStock is an open-source platform providing real-time stock market data, personalized alerts, and company insights. It aims to be a free and accessible alternative to expensive market data services.

πŸ”— Links:
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β€’ Homepage
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πŸ”“ Open Source
πŸ”₯ ESP-Drone | C

🎯 Primary Use Case:
Building and controlling a customizable DIY drone using the ESP32 microcontroller, suitable for hobbyists and developers looking to experiment with drone technology.

✨ Key Features:
β€’ ESP32 and MPU6050 integration
β€’ Wi-Fi control
β€’ Basic stabilization
β€’ Height hold
β€’ Position hold

πŸ“– Summary:
This repository provides the firmware and hardware design for a DIY ESP32 drone, initially focused on basic stabilization and Wi-Fi control. It has evolved into LiteWing, a developer-friendly drone development platform with advanced features like height and position hold.

πŸ”— Links:
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πŸ”“ Open Source
πŸ”₯ PokeTokenBar | Swift

🎯 Primary Use Case:
To provide users with an engaging and visually intuitive way to track their AI coding token usage and associated costs within a macOS menu bar application.

✨ Key Features:
β€’ Visualizes AI token usage as PokΓ©mon companions
β€’ Tracks token spend, cost, and official 5-hour/weekly limits
β€’ Reads usage data directly from local logs (no external CLI needed)
β€’ Hatches, evolves, and collects PokΓ©mon based on token usage

πŸ“– Summary:
PokeTokenBar is a macOS menu bar application that visualizes AI coding token usage by raising and evolving PokΓ©mon. It tracks token spend, costs, and usage limits directly from local logs, providing an engaging way to monitor AI tool consumption.

πŸ”— Links:
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β€’ Homepage
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πŸ”“ Open Source