Topic Catcher: AI-Powered Content Trend Analysis
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Automates the discovery, analysis, and summarization of trending content from various online sources, powered by AI.
About This Workflow
This workflow is designed to act as a 'Topic Catcher', proactively identifying emerging content trends and potential viral topics. It leverages AI to analyze data from platforms like X (Twitter), Reddit, and YouTube, filters for high-potential content, conducts deep analysis, and synthesizes comprehensive reports. This enables users to stay ahead of the curve in content creation and strategy.
Key Features
- Multi-Platform Data Ingestion: Connects to X (Twitter), Reddit, and YouTube APIs to gather relevant data.
- AI-Powered Filtering: Uses LLMs (LangChain/Gemini) to filter content based on relevance, engagement potential, and controversial nature.
- Deep Content Analysis: Employs AI to extract key insights, sentiment, trending potential, and suggest derivative angles.
- Automated Report Generation: Synthesizes analyzed data into structured, HTML-formatted reports with actionable topic suggestions.
- Configurable Analysis Parameters: Allows users to define keywords and analysis parameters via a form trigger.
How To Use
- Form Trigger: The workflow starts with a
Form Triggernode. Input your primarykeywordhere (e.g., 'AI'). - Analysis Parameters: The
Analysis Parametersnode sets up variables like the keyword, date, and a unique analysis ID. - Data Acquisition: Nodes like
Reddit: Search Posts,YouTube: Search Videos, andX: Search Tweets(or its third-party alternatives) gather raw data. - Data Formatting: Nodes like
Format Reddit Data,Parse Twitter Data, andFormat YouTube Datastandardize the fetched data. - AI Pre-filtering: The
AI Pre-filteringnode (using LangChain/Gemini) uses your keyword to determine if content is potentially relevant based on specific criteria (personal opinion, controversy, new insights, emerging trends). - Content Filtering: The
IF: Is Content Relevantnode separates the 'YES' (relevant) and 'NO' (irrelevant) content. - AI Deep Analysis: For relevant content,
AI Deep Analysis(LangChain/Gemini) performs a detailed analysis, extracting summaries, topics, sentiment, key arguments, and suggestions for new angles. - Report Synthesis:
AI: Synthesize Final Report(LangChain/agent) consolidates all deep analysis results into a comprehensive HTML report, identifying clusters, predicting trends, and generating specific topic suggestions. - Final Payload Formatting: The
Format Report Payloadsnode structures the final report for distribution.
Apps Used
Workflow JSON
{
"id": "4211a99b-ec1d-4014-9852-7cb8ea10c1b4",
"name": "Topic Catcher: AI-Powered Content Trend Analysis",
"nodes": 11,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 4211a99b-ec1d...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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