LEAD GENERATION

Agent-Researched Stargazer Brief to Notion

An agent investigates each high-value stargazer across GitHub and the web, writes a one-page account brief with talking points and fit rationale.

CategoryLead Generation
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew star on strategic repo (GitHub webhook)GitHubGitHub
  • ActionAgent reads GitHub footprintGitHubGitHub
  • ActionWeb research on company and roleExa
  • LogicScore and decide strategic fit
  • ActionCompose structured account briefOpenAI
  • OutputFile brief in Notion prospect DBNotionNotion

What it does

For stargazers worth a real conversation, this agent does the homework a rep would otherwise skip. It explores the person's GitHub footprint, searches the web for their company and role, and produces a structured one-page brief — who they are, what they're building, why they fit, and concrete talking points — saved into Notion.

When to use it

Use this for the top slice of stargazers where a thoughtful, researched approach beats a templated email. Best when dev-rel wants briefing material before reaching out to a strategic adopter.

How it works

  1. 1A GitHub webhook fires on a new star, gated to repos or accounts you flag as strategic.
  2. 2The agent reads the stargazer's profile, pinned repos, and recent contributions.
  3. 3The agent runs web research to confirm the employer, role, and any public signals.
  4. 4A scoring and rationale step decides whether the prospect clears the strategic bar.
  5. 5The agent composes a structured brief with summary, fit score, risks, and talking points.
  6. 6The brief is written as a new page in the Notion prospect database, ready for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.