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Integration

Automate Hacker News research

Twin agents search HN via Algolia, track topics and discussions, and route findings to your tools—without manual copying or missed threads.

Integration guide

How Twin uses Hn inside repeatable agent workflows

Twin treats Hn as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Hn: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include competitive intel from hn, founder and launch prospecting, hn-sourced content digests. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when manually scanning HN and pasting results into sheets or docs creates stale data. Twin pulls search results via the Algolia API and writes them directly to Google Sheets, Docs, or wherever you need them.

What you can do with Hn

Real Hn workflows the Twin community runs every day, ready for you to clone.

  • Search HN posts by topic or keyword

    Query Hacker News via Algolia's search API for posts matching any topic, keyword, or domain, then collect titles, links, and scores.

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  • Compile weekly discussion summaries

    Aggregate search results into structured summaries—covering top threads, comment counts, and dates—on a recurring schedule.

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  • Monitor for brand and competitor mentions

    Run recurring searches for your brand, product, or competitors and surface new HN threads as they appear, as used in the Brand Monitor agent.

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  • Surface early-stage founder signals

    Find HN posts from founders describing new products or early-stage launches, then enrich and export those leads for outreach pipelines.

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  • Aggregate multi-source tech digests

    Combine HN results with arXiv papers, TechCrunch, and GitHub Trending into a single digest, as seen in the AI News Digest agent.

    Explore
  • Detect automation opportunity signals

    Filter HN threads where people describe manual processes or repetitive tasks—useful for identifying unmet demand or sales triggers.

    Explore

How it works

Three steps from idea to a running Hn agent.

  1. 1

    Connect via OAuth

    Sign in to Hn once. Twin securely manages the connection and handles token refreshes for you.

  2. 2

    Describe the workflow

    Tell Twin in plain English what you want done in Hn. The agent figures out the API calls itself.

  3. 3

    Twin builds and runs

    Twin assembles the agent, runs it on demand or on a schedule, and adapts when Hn responds in unexpected ways.

Why Twin for Hn

What makes Twin a better fit than a generic automation tool.

No manual copying between tools

Manually scanning HN and pasting results into sheets or docs creates stale data. Twin pulls search results via the Algolia API and writes them directly to Google Sheets, Docs, or wherever you need them.

Runs on a schedule without babysitting

One-off searches miss things. Twin agents can run daily or weekly, so recurring topic monitors and digest compilations happen without you triggering them each time.

Combines HN with your other data sources

HN rarely tells the full story alone. Twin can pair HN search results with Product Hunt launches, GitHub trending repos, or arXiv papers in a single workflow—something a point integration can't do.

Build with more than Hn

These related integration pages give crawlers and readers another path through the automation catalog. They connect Hn to nearby apps, categories, and paired workflows that teams often evaluate together.

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Frequently asked questions

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