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Comments on Hacker News represent some of the most valuable content on the platform, often containing expert insights, technical analysis, and nuanced discussions that extend far beyond the original submission. This server makes accessing and navigating these conversation threads straightforward, allowing you to explore discussions programmatically through natural language requests.
Each comment on Hacker News has a unique identifier that you can use to access it directly. Simply request a specific comment by its ID, and the server will return structured information including the comment text, author, timestamp, score, and importantly, references to parent and child comments that show where it fits in the conversation hierarchy.
To access a particular comment, you might ask: "Get the comment with ID 12345678" or "Show me the details of comment 12345678." The server retrieves the complete comment data, making it easy to understand both the content and context.
Hacker News discussions are threaded, meaning replies form hierarchical trees rather than flat lists. When you retrieve a comment, you'll receive information about its parent comment (the comment it's replying to) and its children (direct replies to it). This structure allows you to navigate up and down the conversation thread.
To explore an entire discussion, start by requesting the story's comments, then follow the thread by accessing child comments of interest. You can traverse the entire tree to understand how conversations evolve, identify popular sub-threads based on scores, or locate specific technical discussions buried deep in the comment hierarchy.
To see all comments associated with a particular story, request the story by its ID. The story data includes a list of top-level comment IDs—the direct replies to the submission itself. These serve as entry points into the various conversation threads that emerged from that story.
For example: "Show me comments on story 12345678" will help you access the discussion. From there, you can explore individual threads that interest you by following child comment references.
When analyzing comment threads, consider starting with highly-scored comments, as these typically contain the most valuable insights or community-endorsed perspectives. Pay attention to comment timestamps to understand how discussions evolved over time, and note the authors to identify domain experts or frequent contributors.
The hierarchical nature of comment threads means conversations can branch extensively. Focus on specific branches rather than trying to process entire discussion trees at once for more manageable and targeted analysis.
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