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Looking Up Hacker News User Profiles and Activity
Overview
The Hacker News MCP server enables you to access detailed user profiles and activity data directly through your AI assistant. This functionality allows you to research community members, track contributions from thought leaders, and analyze user engagement patterns without manually browsing the site.
Accessing User Profiles
To retrieve a user profile, simply ask your AI assistant about a specific Hacker News user by their username. You can request information naturally, such as "Show me the profile for [username]" or "What has [username] posted on Hacker News?"
The server will return comprehensive profile information including:
- Karma score: The user's accumulated points from upvotes on their submissions and comments
- Account age: When the user joined Hacker News
- About section: Biographical information the user has chosen to share
- Submission history: Recent stories and links the user has posted
- Comment history: Recent comments and discussions the user has participated in
Understanding User Activity
User activity data provides insights into how community members engage with the platform. You can track:
Recent Submissions: See what articles, projects, or discussions a user has shared with the community. This helps identify their areas of interest and expertise.
Comment Contributions: Access the user's recent comments to understand their perspectives on various topics. Comments often reveal deeper technical knowledge and engagement with specific subject areas.
Engagement Patterns: By reviewing submission and comment timestamps, you can understand when and how frequently a user participates in the community.
Practical Applications
Finding Subject Matter Experts: Identify users with deep knowledge in specific technology domains by reviewing their comment history and karma scores in relevant discussions.
Research and Verification: When evaluating claims or seeking additional context, check the profile and history of users who've commented on technical topics to assess their credibility and expertise.
Tracking Thought Leaders: Monitor the activity of influential community members to stay informed about topics they're discussing and resources they're sharing.
Community Analysis: Study user behavior patterns to understand how different members engage with the platform and contribute to discussions.
Tips for Effective Use
Request specific information to get more targeted results. Instead of asking for everything about a user, focus on what matters most—recent comments, submission history, or profile details.
Remember that all data reflects publicly available information on Hacker News. The server simply makes this data more accessible through your AI assistant, eliminating the need for manual browsing or custom scripts.
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