Uncover Decades of Tech Trends with Hacker News Lookback
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Automate the analysis of Hacker News front-page headlines across multiple years to identify key trends and shifts in the technology landscape. Gain historical insights and understand the evolution of tech topics.
About This Workflow
This n8n workflow automates the fascinating process of analyzing Hacker News front-page headlines from the same day across multiple years. Leveraging the power of AI, specifically Google Gemini, it delves into historical data to identify prominent themes and track the evolution of technology discourse. By pinpointing significant headlines and categorizing them into thematic trends, this tool provides a unique perspective on how the tech world has changed. From the early days of web development to the current AI revolution, uncover the narratives that shaped the digital age and stay ahead of emerging patterns.
Key Features
- Automated Historical Analysis: Set a schedule to automatically pull and analyze Hacker News headlines from past years.
- AI-Powered Trend Identification: Utilizes Google Gemini to categorize headlines and identify thematic shifts over time.
- Customizable Date Range: Easily configure the workflow to fetch data from specific years.
- Markdown-Formatted Insights: Receive a clear, structured output highlighting key trends and headlines with direct links.
How To Use
- Schedule Trigger: Configure the
Schedule Triggernode to define when the workflow should run (e.g., daily at a specific time). - Date Generation: The
CreateYearsList(Code node) andCleanUpYearList/SplitOutYearListnodes automatically generate a list of dates to query, starting from the current year and going back to 2007. - Fetch Headlines: The
GetFrontPage(HTTP Request node) fetches the Hacker News front page for each generated date. - Extract Data: The
ExtractDetails(HTML node) parses the fetched HTML to extract headlines and publication dates. - Process Headlines:
GetHeadlinesandGetDate(Set nodes) prepare the extracted data for the next step. - Combine Data: The
MergeHeadlinesDate(Merge node) combines the headlines and dates for each year. - AI Analysis: The
Basic LLM Chainnode, powered byGoogle Gemini Chat Model, analyzes the combined data, identifies themes, and generates a categorized, markdown-formatted summary of key headlines and trends. Ensure your Google Gemini API credentials are correctly configured.
Apps Used
Workflow JSON
{
"id": "ac390e12-7b48-487f-8879-fd234a2f44df",
"name": "Uncover Decades of Tech Trends with Hacker News Lookback",
"nodes": 22,
"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: ac390e12-7b48...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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