#️⃣Nostr #damus AI Powered Reporting + Gmail + Telegram

Automated reporting for #damus that integrates with Gmail and Telegram, analyzing Nostr threads to extract themes and insights. Schedule reports to enhance community engagement and streamline communication, delivering detailed summaries and actionable suggestions directly to your inbox or chat.

7/4/2025
24 nodes
Complex
schedulecomplexmarkdowngmaillangchainaggregatesticky noteschedule triggertelegramnostrobotsreadautomationadvancedcroncommunicationbot
Integrations:
MarkdownGmailLangChainAggregateSticky NoteSchedule TriggerTelegramNostrobotsread

Target Audience

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.

Problem Solved

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.

Workflow Steps

  • 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.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the Schedule: Adjust the schedule trigger to run at specific intervals that suit their reporting needs.
    - Changing Email Recipients: Update the email addresses in the Gmail nodes to send reports to different stakeholders.
    - Altering Themes Extraction: Edit the LangChain parameters to extract different types of themes or insights based on varying user needs.
    - Customizing Report Content: Personalize the content of the reports by modifying the Markdown templates used in the report generation nodes.
    - Integrating Additional Nodes: Add more nodes to connect to other services or databases for enriched data analysis.