hn-discoverer

To find relevant Hacker News threads, you provide a topic and the tool runs parallel searches, deduplicates story IDs, and ranks results by relevance, points, comments, and recency. It returns the top 3-7 thread IDs with metadata for analysis.

Hacker News thread deduplication works by identifying and removing duplicate results based on their unique story ID. When parallel searches return overlapping threads, the system consolidates them into a single entry before ranking by relevance and recency.

You can filter Hacker News search results by points and comments because the tool ranks threads using these metrics alongside relevance and recency. This ensures the top 3-7 returned thread IDs contain high-signal discussions.

The best way to gather competitive insights from Hacker News is to search multiple topic variations in parallel, deduplicate overlapping story IDs, and rank the threads by relevance, points, and comments to extract the most valuable discussions.

The tool returns the top 3 to 7 Hacker News thread IDs for downstream topic analysis. These selected threads are the highest-ranked results based on deduplicated story IDs, relevance, points, comments, and recency.