LEAD GENERATION

GitHub Stargazer Harvester to Warm HubSpot Leads

On a schedule, pulls new stargazers of your open-source repo, enriches each engineer's company.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionFetch new stargazers since last runGitHubGitHub
  • ActionRead each starer's profile and companyGitHubGitHub
  • LogicDrop accounts with no company or email
  • ActionUpsert contact and company in HubSpotHubSpotHubSpot
  • OutputLog star event as a HubSpot timeline noteHubSpotHubSpot

What it does

Watches the people who star your OSS repo, figures out which company each engineer works for, and turns that signal into a CRM-ready lead. Every new starer becomes a HubSpot contact tied to a company record, with the star captured as a timeline note so SDRs know exactly why the account is warm.

When to use it

Run this when your repo gets steady organic stars and you want to convert that attention into pipeline instead of letting it sit on GitHub. Ideal for dev-tools and infra companies whose buyers are the same engineers who star projects.

How it works

  1. 1A daily schedule fires the run.
  2. 2Fetch stargazers added since the last run via the GitHub API.
  3. 3For each new starer, read their public profile and company field from GitHub.
  4. 4Filter out personal/throwaway accounts with no company or email signal.
  5. 5Upsert the engineer as a HubSpot contact and associate them with the company record.
  6. 6Write a HubSpot timeline note recording the repo, star date, and source so reps see the warm context.

Set it up

What you configure once, before turning it on.

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

Run this workflow in your colony.

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