Do I need to know how to code?

No coding required. You describe what you want in plain English—something like "search HN weekly for posts about my product category and email me a summary"—and Twin builds the agent. The Algolia API connection and scheduling are handled automatically.

Can my Hn agent run on a schedule?

Scheduling is a core part of how Twin agents work. Your HN agent can run daily, weekly, or on whatever cadence fits your workflow. Recurring topic searches, digest compilations, and brand monitors all run unattended once configured.

What can a Twin agent do with HN search results?

Agents can search HN via Algolia, filter results by date, score, or keyword, and then write structured output to Google Sheets, Google Docs, or other connected tools. They can also combine HN data with other sources like Product Hunt or arXiv in one run.

Which tools pair well with HN agents?

The most common pairings in Twin are GitHub, Product Hunt, Google Sheets, Google Docs, and Indie Hackers. Multi-source digests often pull from HN alongside TechCrunch or arXiv, with results landing in Sheets or sent via email.

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.

Automate Hn Browse 88 Hn agents

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.
Explore
Compile weekly discussion summaries

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

Connect via OAuth

Sign in to Hn once. Twin securely manages the connection and handles token refreshes for you.
2

Describe the workflow

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