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Retrieving User Profile Information and Activity History

Understanding User Profiles on Hacker News

The Hacker News MCP server provides comprehensive access to user profile information and activity history, allowing you to research contributors, track thought leaders, and analyze community engagement patterns. This functionality is particularly valuable when you need to identify subject matter experts, understand user influence, or conduct research on community dynamics.

What Information Can You Retrieve?

When accessing a user profile through the server, you can retrieve several key pieces of information:

  • User karma score: The cumulative points a user has earned through community upvotes on their submissions and comments
  • Account creation date: When the user joined Hacker News
  • Biographical information: The user's self-written "about" section, which often includes background, interests, and contact details
  • Submission history: All stories and links the user has posted to Hacker News
  • Comment history: The user's complete comment trail across various discussions

How to Request User Information

To retrieve user profile data, simply ask your AI assistant for information about a specific Hacker News user. You can phrase your request in natural language, such as:

  • "Show me the profile for user [username]"
  • "What's the karma score for [username]?"
  • "Get me the recent activity for [username]"
  • "What has [username] posted about recently?"

The server handles the technical details of querying the Hacker News API and returns structured, easy-to-read information.

Practical Applications

Identifying Experts: Research users who frequently contribute to discussions in your area of interest. High karma scores and consistent quality contributions often indicate domain expertise.

Tracking Thought Leaders: Monitor the activity of known experts or influential community members to stay informed about what they're discussing and sharing.

Understanding Perspectives: Review a user's comment history to understand their viewpoints, technical background, and areas of focus before engaging with their contributions.

Research Verification: When evaluating comments or submissions, checking the author's profile can provide context about their credibility and areas of expertise.

Tips for Effective Use

Focus on users who actively participate in your areas of interest rather than simply chasing high karma scores. Quality of contributions matters more than quantity. When researching topics, cross-reference information from multiple user perspectives to get a balanced understanding of community sentiment.

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About Metorial

Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.

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