AI Intelligent Q&A Agent — Hacker News Top Posts Query
This workflow utilizes AI intelligent agents and custom tools to enable quick querying and intelligent responses for popular post data on the Hacker News platform. Users can obtain the top 50 most popular posts and detailed information through natural language commands. It includes built-in data cleaning and formatting features to ensure the results are clearly structured. This is suitable for technical researchers, content creators, and developers, helping them to rapidly access authoritative and up-to-date technology information, thereby enhancing the efficiency of information retrieval.
Workflow Name
AI Intelligent Q&A Agent — Hacker News Top Posts Query
Key Features and Highlights
This workflow integrates an AI intelligent agent with custom tools to enable real-time querying and intelligent answering of the most popular posts in Hacker News history. Users can simply send natural language chat commands to quickly obtain a list of the top 50 most popular posts along with detailed information. The workflow includes built-in data cleaning and formatting steps to ensure the returned results are well-structured and easy to understand.
Core Problems Addressed
Traditional manual searches for trending technical news are time-consuming and inconvenient, making it difficult to quickly access authoritative and up-to-date high-quality content. This workflow leverages automated data scraping and AI Q&A capabilities to help users efficiently obtain the most influential posts on Hacker News, significantly improving information retrieval efficiency.
Application Scenarios
- Technical researchers quickly grasping industry hotspots and trends
- Content creators seeking inspiration and trending topics
- Product managers and developers tracking community dynamics
- AI assistants integrating trending news query functions
Main Process Steps
- User sends a query request via chat interface (e.g., “What is the fifth most popular post on Hacker News?”)
- AI intelligent agent receives the request and invokes custom tools to trigger a sub-workflow
- The sub-workflow accesses the Hacker News API to fetch data of the top 50 popular posts
- Cleans and extracts fields from the fetched data (title, score, author, time, etc.)
- Converts the structured data into JSON format and returns it to the AI agent
- AI agent generates a natural language response based on the data and replies to the user
Involved Systems or Services
- Hacker News API: Retrieves community popular post data
- OpenAI GPT-4 Model: Natural language understanding and generation
- n8n Custom Tool Sub-workflow: Data scraping and processing
- LangChain AI Agent Node: Core engine for intelligent Q&A
Target Users and Value
This workflow is suitable for members of technical communities, data analysts, content operators, and anyone needing rapid access to technology trending information. It greatly enhances information query efficiency, lowers the technical barrier, and helps users quickly pinpoint the most valuable content amid vast information, enabling intelligent knowledge acquisition.