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Hacker News discussions often contain insights that rival or exceed the value of the original submissions. With the Hive Intelligence MCP server, you can access and explore these comment threads through simple natural language requests to your AI assistant.
To view comments on a specific story, you first need to identify the story you're interested in. You can ask your assistant to show you top stories, new submissions, or search for stories on specific topics. Once you've found a story of interest, simply request its comments.
For example, you might say: "Show me the comments on that story about the new programming language" or "What are people saying in the discussion about AI safety?" The server retrieves the comment thread and presents it in a readable format.
Hacker News comments are organized in threaded conversations, where replies are nested beneath parent comments. This structure creates a tree of discussion that can branch in multiple directions.
When you access a comment thread, you'll see this hierarchical structure preserved. Top-level comments appear first, with their replies indented beneath them. You can explore specific branches of conversation by asking about particular comments or requesting to see deeper levels of discussion.
If a thread becomes too complex or lengthy, you can focus on specific parts by asking questions like "What are the main arguments in this thread?" or "Show me the highest-scored comments in this discussion."
Not all comments carry equal weight. The Hacker News community uses voting to surface valuable contributions, and comment scores indicate which responses the community found most insightful.
You can specifically request highly-voted comments to quickly identify the most valued perspectives. Ask your assistant to "Show me the top-rated comments" or "What are the most popular responses?" to filter for community-endorsed insights.
Each comment contains metadata including the author, timestamp, and score. You can investigate who wrote particularly insightful comments and explore their other contributions by requesting their user profile. This is especially useful when you've identified a subject matter expert or want to follow thought leaders in specific domains.
Start with an overview of the entire thread to understand the conversation's scope, then drill down into specific branches that interest you. If you're researching a particular angle, ask your assistant to summarize arguments or identify comments discussing specific aspects. The server handles the complexity of traversing the comment tree, allowing you to focus on extracting insights rather than managing data structures.
The Hive Intelligence integration lets you query threat intelligence data, analyze indicators of compromise, and enrich security investigations with collective threat information from the Hive Intelligence platform directly within your workflow.
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