Analyze Hacker News Anniversary Tech Trends with LLM and Telegram
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This workflow automatically fetches Hacker News headlines for a specific date across multiple years. It then uses an LLM to analyze and summarize the tech trends, before posting the findings to Telegram.
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About This Workflow
Overview
This n8n workflow automates the process of tracking technological evolution by analyzing Hacker News headlines on the same day across different years. It starts with a Schedule Trigger to initiate the process, followed by CreateYearsList and CleanUpYearList nodes to generate a list of dates for fetching historical data. The GetFrontPage node retrieves Hacker News front-page data for the specified dates, and ExtractDetails parses the HTML to get headlines and their associated dates. The headlines and dates are then processed and merged by GetHeadlines, GetDate, and MergeHeadlinesDate. Finally, SingleJson consolidates the data, which is then fed into a Basic LLM Chain for sophisticated analysis. The LLM categorizes headlines, identifies trends, and formats the output. The Google Gemini Chat Model node powers the LLM's analytical capabilities. The final summarized trends are then sent to a Telegram channel via the Telegram node.
Key Features
- Automated historical data retrieval from Hacker News.
- Leverages LLM for advanced trend analysis and categorization.
- Dynamic generation of date ranges for historical comparisons.
- Customizable output formatting using Markdown.
- Direct notification to a Telegram channel for immediate insights.
How To Use
- Configure the
Schedule Triggerto run the workflow at your desired frequency. - Ensure your
Google Gemini Chat Modelcredentials are set up correctly. - Customize the prompt within the
Basic LLM Chainnode to refine the analysis and output format. - Set up your Telegram bot and
Telegramnode with the correct chat ID and API credentials. - Adjust the year range in the
CreateYearsListnode if needed. - Run the workflow and monitor the output in your Telegram channel.
Apps Used
Workflow JSON
{
"id": "68d0f914-cb80-4318-94bc-81c75891a524",
"name": "Analyze Hacker News Anniversary Tech Trends with LLM and Telegram",
"nodes": 0,
"category": "Other Integrations and Use Cases",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 68d0f914-cb80...
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