Historical Hacker News Headlines Analysis Workflow

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This n8n workflow is designed to aggregate and analyze top Hacker News headlines from the same day across multiple years, starting from the current date back to 2007. The process is scheduled to run daily at 9 PM. It begins by generating a list of relevant dates spanning over a decade and fetches the Hacker News front page for each date. The headlines are then extracted and organized into a structured format. The extracted data is processed by a language model (Google Gemini) to identify key themes and trends in technology and news over the years. Finally, a summarized analysis is sent via Telegram for review.

This workflow is useful for understanding how technology trends and news interest have evolved over the years on the same date, providing insights into industry shifts, recurring themes, and emerging topics. It can be valuable for journalists, researchers, and tech enthusiasts interested in historical data and trend analysis.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, aggregate, code, html, httpRequest, merge, scheduleTrigger, set, splitOut, telegram

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