Automated Historical Hacker News Headlines Analysis

This n8n workflow automates the collection and analysis of Hacker News front-page headlines across multiple years for a specific date. It triggers on a schedule and fetches headlines from the Hacker News front page for the current day across different years, starting from a set baseline (e.g., 2007). The workflow involves creating a list of relevant dates, retrieving the front page HTML, extracting headlines and relevant metadata, and then processing this data through a language model (Google Gemini) to identify and categorize the top headlines and their evolution over the years. The final step sends a summarized, Markdown-formatted report via Telegram, offering insights into how the tech landscape has shifted. This setup is ideal for journalists, tech analysts, or enthusiasts interested in historical trends and news evolution.