Automated Nostr Reporting for Damus

This workflow is ideal for:

• Social Media Managers looking to analyze and report on user engagement through hashtags like #damus.
• Content Creators who want to extract themes and insights from discussions to enhance their content strategy.
• Data Analysts needing to automate the extraction and reporting of social media trends.
• Marketing Teams aiming to improve community engagement and gather actionable insights from user-generated content.
• Developers interested in integrating automated reporting features into their applications.

This workflow addresses the challenge of efficiently gathering, analyzing, and reporting on social media content related to the #damus hashtag. It automates the extraction of themes and insights from user threads, allowing for:

• Time Savings by reducing manual data collection and analysis efforts.
• Improved Decision-Making through detailed reports that highlight user engagement and common themes.
• Enhanced Communication with automated email and Telegram updates to keep stakeholders informed.

1. Trigger the Workflow: The process starts with a scheduled trigger or manual test, activating the workflow to gather data.
2. Read Nostr Threads: The workflow connects to the Nostr platform to fetch threads containing the #damus hashtag.
3. Aggregate Content: It aggregates the content from the fetched threads to prepare for analysis.
4. Extract Themes: Using LangChain, the workflow extracts a list of themes from the aggregated content.
5. Analyze Threads: It further analyzes the threads to identify common themes and insights.
6. Generate Reports: The workflow compiles the findings into a structured report, detailing themes, common threads, and user insights.
7. Convert to HTML: The report is then converted from Markdown to HTML format for better presentation.
8. Send Reports: Finally, the workflow sends the HTML report via Gmail and Telegram to designated recipients.