hn-research

Search Hacker News threads and extract comments and sentiment patterns.

13|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill hn-research-sergiocoding96
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hn-research
Source: https://github.com/sergiocoding96/hermes-multi-agent/tree/main/skills/hn-research
Command: npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill hn-research-sergiocoding96

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually sifting through Hacker News to find relevant discussions, gauge community reaction to tech tools or papers, and extract practitioner insights is time-consuming and inefficient. This Skill automates that research process using targeted web searches and content extraction.

Core Features & Use Cases

  • Thread Discovery: Locate regular HN threads, Ask HN practitioner experience posts, and Show HN launch discussions on any technology topic using optimized search queries.
  • Sentiment Analysis Support: Extract full thread content including top comments to identify recurring complaints, expert insights, and overall community sentiment (positive, negative, mixed, polarized).
  • Use Case: If you are evaluating a new open source developer tool, use this Skill to quickly find all relevant HN discussions about it, read detailed user feedback, and gauge whether the tool is widely adopted or has common issues.

Quick Start

Use the hn-research skill to find and summarize top Hacker News discussions about the latest AI coding assistant tools, including community sentiment and key user complaints.

Frequently Asked Questions about hn-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find Hacker News discussions about a specific technology topic?

To find Hacker News discussions, this Skill uses optimized web searches to locate regular threads, Ask HN posts, and Show HN launches, then retrieves full thread content and extracts high-signal comments without manual browsing.

What is the best way to gauge community sentiment for developer tools on Hacker News?

Gauging community sentiment involves extracting full HN thread content including top comments to identify recurring complaints, expert insights, and overall sentiment patterns like positive, negative, mixed, or polarized reactions to developer tools.

Can I track the reception of new tech releases using Hacker News search?

Yes, you can track reception of new tech releases by using targeted web searches to locate relevant Show HN launch discussions and extracting detailed user feedback to evaluate adoption and identify common issues.

How do I gather practitioner feedback on open source projects from Hacker News?

Gathering practitioner feedback on open source projects requires locating Ask HN experience posts and relevant threads, then retrieving full content to extract expert insights and recurring user complaints automatically.

Does this Hacker News research approach work for evaluating academic papers?

Yes, evaluating academic papers is supported by searching for relevant Hacker News threads, retrieving full content, and extracting community sentiment and discussion insights to understand practitioner reactions.