Tracks learning progress and generates personalized daily learning insights using RAG to fetch relevant content from blogs, RSS feeds, and Reddit based on your current topics and learning goals.
Provides personalized CSS learning updates by tracking known concepts in memory, fetching latest CSS news via Perplexity, and guiding users through new CSS features they haven't learned yet.
Provides semantic search over a self-building personal technical knowledge base that automatically collects and distills content from GitHub Trending, AI news, and arXiv.
Aggregates technical articles from multiple sources (Qiita, Dev.to, NewsAPI, Hacker News), summarizes them using Gemini API, and syncs them to Notion databases with personalized recommendations based on reading history and tags.