Automated Nostr #damus Analysis & Reporting Workflow

This n8n workflow automates the process of analyzing Nostr social media threads tagged with #damus, generating thematic insights, and sharing reports through email and Telegram. Triggered manually or scheduled, it begins by reading #damus threads from Nostr, then uses AI language models to extract themes, identify common threads, and generate comprehensive reports. The workflow converts data into HTML, consolidates multiple insights, and distributes the results via Gmail and Telegram, making it an invaluable tool for social media analysis, community management, and content strategy.

The process involves multiple nodes including manual triggers, Nostr data collection, AI-powered thematic analysis with Google PaLM models, HTML conversion, content aggregation, and reporting. Additionally, sticky notes serve as informational annotations, and the entire system can run on a scheduled basis for continuous monitoring. This workflow enables users to easily track community discussions around #damus, extract actionable insights, and communicate results seamlessly, supporting enhanced community engagement and data-driven decision-making in digital communities.