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AI Chatbot for Instant Hacker News Insights & Data

Transform manual Hacker News research into instant AI-driven insights, saving hours of data aggregation and analysis with a 90% reduction in research time.

Manually sifting through Hacker News for specific information wastes valuable time and effort. This workflow provides an AI chatbot that instantly answers complex queries about Hacker News posts using a powerful custom data retrieval tool.

OpenAI
LangChain
FREE
Ready-to-use workflow template
Complete workflow template
Setup documentation
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Documentation

AI-Powered Hacker News Insight Engine

This n8n workflow empowers users with an intelligent AI chatbot capable of answering specific questions about Hacker News posts. It combines the power of an AI agent with a custom tool to fetch, process, and analyze real-time Hacker News data, making information retrieval fast and effortless for developers, researchers, and tech enthusiasts.

Key Features

  • Interactive AI Chat Interface: Query Hacker News data using natural language commands.
  • Real-time Hacker News Data Retrieval: Automatically fetches the latest and most popular posts.
  • Customizable Data Tools: Easily extend or replace the Hacker News integration with your own data sources.
  • Automated Data Cleaning and Structuring: Presents information in a clear, usable format.

How It Works

This workflow operates in two main parts: a responsive AI agent and a dedicated custom tool for data retrieval. When a user inputs a query via the chat interface, the AI agent, powered by OpenAI, interprets the request. If the query pertains to Hacker News, the AI agent intelligently invokes a custom n8n tool. This tool activates a sub-workflow that connects to Hacker News, fetches the specified data (e.g., top 50 posts), cleans it, and structures it into a JSON format. The AI agent then processes this refined data to generate a precise, natural language answer, delivering immediate insights back to the user.

Workflow Details

Category:Productivity
Last Updated:Dec 16, 2025

Frequently Asked Questions