Automated Historical Hacker News Headlines Analysis

This n8n workflow automates the process of retrieving, analyzing, and summarizing Hacker News front-page headlines across multiple years for the same date, providing insights into how the tech landscape has evolved. It starts with a scheduled trigger that initiates the workflow every day at 9 PM, creating a list of historical dates from 2007 onwards. The workflow then fetches the front-page HTML from Hacker News for each date, extracts relevant headlines and the date, and merges this data into a comprehensive JSON object. The collected headlines are then processed by a Langchain-powered GPT model, which analyzes and categorizes the headlines into themes, highlighting key trends and changes over the years in Markdown format. Finally, the summarized analysis is shared via Telegram, making it easy for users to stay informed about tech history and trends.