LEAD GENERATION

OSS Topic Account Discovery Agent to Notion Brief

On demand, an agent searches GitHub for repos in chosen topics, surfaces the most active engineers and their companies, builds an enriched account shortlist.

CategoryLead Generation
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator runs with target topics
  • ActionSearch and rank matching reposGitHubGitHub
  • ActionPull top contributors and companiesGitHubGitHub
  • ActionEnrich and research each companyPerplexityPerplexity
  • LogicScore and rank the account shortlist
  • OutputPublish ranked outreach brief to NotionNotionNotion

What it does

Given a set of GitHub topics or keywords, this agent goes prospecting: it finds the most relevant and active repos, identifies the engineers and companies behind them, enriches each account, and assembles a ranked outreach brief. The output is a Notion page your team can work straight from, complete with rationale and suggested talking points per account.

When to use it

Use it for proactive account discovery in a new vertical or product area, when you want a researched shortlist rather than waiting for inbound GitHub signals to accumulate.

How it works

  1. 1An operator runs it with target topics and a desired account count.
  2. 2The agent searches GitHub for matching repos and ranks them by relevance and activity.
  3. 3It pulls top contributors and their companies from the GitHub API.
  4. 4It enriches each company with web research for fit and contactability.
  5. 5It scores and ranks the accounts, writing per-account rationale and talking points.
  6. 6It publishes the ranked outreach brief as a Notion page for the team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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