Open-source Deep Research

Searching Hacker News from your AI Agent

Turn Hacker News threads into cited developer-market context for agent workflows.

HN threads become agent evidence

AutoSearch lets an agent collect Hacker News discussion as part of a research task. The agent can find launch reactions, technical objections, adoption clues, and expert comments, then cite them in briefs or implementation notes.

Balanced against source diversity

Hacker News can overrepresent certain developer viewpoints. AutoSearch can compare HN findings with GitHub, Reddit, docs, papers, YouTube, Twitter, and Chinese sources, giving the agent a more balanced evidence set.

Fits coding and product prompts

HN research often matters while planning a feature or evaluating a tool. Through MCP, AutoSearch can be called from agent hosts during that work, so discussion context reaches the decision point without manual tab switching.

How it fits

AutoSearch connects Hacker News to agent research loops without making it the only authority. The agent asks for HN context, AutoSearch gathers cited threads and related sources, and the agent extracts patterns such as objections, technical caveats, and adoption signals. This is useful for DevTools, infrastructure, AI products, and open-source launches where HN can reveal expert skepticism quickly.

Try this prompt

Search Hacker News for recent discussion of MCP and AI coding tools.
Return cited themes, objections, and links to related GitHub projects.