LEAD GENERATION

Weekly Stargazer Backfill and Attio Re-sync

Each week it walks the full stargazer list, finds people missing from Attio or with stale enrichment, re-enriches them, and reconciles the CRM so no past adopter slips through.

CategoryLead Generation
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionPaginate full stargazer listGitHubGitHub
  • LogicFind missing or stale Attio recordsAttio
  • ActionRe-enrich and recompute fit scoreOpenAI
  • ActionBatch upsert into AttioAttio
  • OutputEmit added and refreshed summary

What it does

Real-time triggers miss historical stars and let records go stale. This scheduled job reconciles the whole stargazer list against Attio: it finds adopters who were never captured, re-enriches records older than your freshness window, and updates fit scores so the CRM reflects current reality.

When to use it

Use this as the safety net behind your real-time stargazer flow, or to seed Attio from scratch on a repo that already has thousands of stars. Run it weekly to catch gaps and decay.

How it works

  1. 1A weekly schedule fires the reconciliation run.
  2. 2The flow paginates the complete stargazer list from the GitHub API.
  3. 3It queries Attio to find which stargazers are missing or have enrichment past the freshness window.
  4. 4A branch step processes only the missing or stale subset to stay within rate limits.
  5. 5An enrichment step refreshes company, role, and recomputes the fit score.
  6. 6Attio is upserted in batch, and a summary of added and refreshed records is emitted.

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.

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