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Github Day Trend is an automated workflow that fetches and summarizes trending open-source projects from GitHub every day, enabling you to efficiently stay updated with the latest technology trends.

This workflow automatically and regularly fetches the latest posts from multiple X users and synchronizes the content to a Notion database. It intelligently handles text length to ensure compliance with Notion's limits while also recording interaction data such as likes and shares. Through automated collection and structured storage, users can efficiently manage social media updates, avoid missing information, and enhance work efficiency. It is suitable for scenarios such as social media management, content analysis, and personal information management.

This workflow automatically retrieves the web content of specified arXiv academic papers, extracts the paper titles and main texts, and employs advanced AI models for in-depth interpretation to generate comprehensive academic analysis reports. It effectively enhances users' efficiency in understanding complex research and lowers the reading barrier. Designed for researchers, students, and technical analysts, it helps them quickly grasp the core content and research value of papers, thereby promoting knowledge accumulation and technological innovation.