LEAD GENERATION

GitHub Stargazer to Attio Prospect Enrichment

When someone stars your repo, it pulls their GitHub profile, enriches their company and role.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew star on repo (GitHub watch webhook)GitHubGitHub
  • ActionFetch stargazer GitHub profileGitHubGitHub
  • ActionEnrich company domain and roleOpenAI
  • LogicScore fit and drop below threshold
  • OutputUpsert scored prospect in AttioAttio

What it does

Every new star on your repository becomes a researched prospect in Attio. The workflow reads the stargazer's public GitHub profile, infers their company and seniority, scores how qualified they are, and writes a clean person + company record into your Attio CRM — no manual data entry.

When to use it

Run this when your open-source project is your top-of-funnel and you want stars to feed a real pipeline instead of a vanity metric. Ideal for dev-tools companies whose buyers are the engineers adopting the library.

How it works

  1. 1A GitHub webhook fires on the `watch` (star) event with the actor's username.
  2. 2The flow fetches the full GitHub user profile — bio, company field, public repos, follower count, hireable flag.
  3. 3An enrichment step uses the profile and company string to guess employer domain and role.
  4. 4A scoring step assigns a fit score from signals like company present, follower count, and account age.
  5. 5Records below the floor are dropped; qualified ones continue.
  6. 6Attio upserts a person record linked to a company, tagged `github-stargazer` with the fit score.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect AttioReal-time CRM with structured data + powerful views.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

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