This n8n workflow automates the process of extracting top stories from Hacker News, transforming the data into a human-readable format with Google’s Gemini AI, and exporting the structured insights directly into a Google Document. Triggered manually, the workflow retrieves a specified number of Hacker News posts, processes each item with AI for clarity, and updates a Google Doc with summarized information. This is ideal for creating quick reports or summaries of trending news for editorial or research purposes. The workflow leverages nodes that fetch Hacker News data, split it into batches, utilize Google’s Gemini AI model for natural language processing, and interact with Google Docs for creating and updating documents. Practical scenarios include news aggregation, content curation, or automated reporting workflows.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, googleDocs, hackerNews, httpRequest, manualTrigger, set, splitInBatches, stickyNote