This n8n workflow scrapes Hacker News, utilizes an advanced AI Agent for business viability analysis via OpenRouter, and automatically logs structured results into Google Sheets. Start leveraging this powerful n8n template for market research.
Download this n8n workflow template and start using it instantly.
Market Researchers and Trend Analysts looking for rapid, structured data extraction.
Startup Founders and Solopreneurs seeking validated business ideas based on current trends.
n8n Users who want to implement sophisticated AI reasoning within their data pipelines.
Developers needing an automated way to monitor relevant topics from high-traffic news sources.
Sifting through large volumes of content, such as Hacker News, to find viable business opportunities is time-consuming and prone to human bias. This specialized n8n workflow solves this problem by automating the entire research and analysis process.
The automation starts by fetching popular posts. Crucially, each potential idea is fed into an AI Agent powered by a high-end model (like GPT-4 via OpenRouter). This AI agent not only summarizes the post but, thanks to a structured output parser n8n node, reliably extracts specific data points—such as the target audience, potential monetization strategy, and overall viability score—into a clean JSON format. Only posts matching pre-defined criteria (checked by an If n8n node) are processed further. Finally, the structured data is instantly recorded in Google Sheets, creating a clean, actionable database of business ideas. This powerful n8n template dramatically accelerates market research and idea validation.
This n8n workflow is initiated manually using the 'When clicking ‘Test workflow’ n8n trigger, although it can easily be converted to a scheduled trigger.
To deploy and run this sophisticated n8n workflow template, follow these steps:
When clicking ‘Test workflow’ (Manual Trigger n8n trigger): Initiates the execution of the entire n8n workflow upon manual request.
Hacker News (n8n node): Fetches recent posts and their metadata, serving as the raw data source for the n8n workflow.
Filter Posts By Features (If n8n node): Applies initial logic to filter posts based on quantifiable metrics (e.g., minimum score or number of comments) before processing by the AI, saving LLM tokens.
Loop Over Items (Split In Batches n8n node): Manages the flow by separating incoming items, ensuring that the heavy AI processing is executed sequentially for each individual post item.
AI Agent (Langchain n8n node): The core intelligence of the n8n workflow. It orchestrates the analysis, using the attached OpenRouter Chat Model to determine the business potential of the post content.
OpenRouter Chat Model (Langchain n8n node): Provides access to powerful, cost-effective LLMs (like GPT-4) necessary for complex reasoning and structured analysis within the AI Agent n8n node.
Structured Output Parser (Langchain n8n node): Guarantees that the AI's complex analysis is returned in a strict, predictable JSON structure, which is vital for reliable data processing downstream.
If Topic1 (If n8n node): A conditional gate that verifies if the structured output from the AI meets specific topic or viability thresholds before the idea is logged.
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