LEAD GENERATION
Track competitor repo stargazers and surface switchable prospects in Airtable
On a schedule, pull new stargazers of competitor developer-tool repos, enrich and score them against your ICP, and log switchable prospects to an Airtable pipeline for review.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled prospecting run
- ActionList new competitor-repo stargazersGitHub
- ActionEnrich profiles + companies via ExaExa
- LogicScore ICP fit, dedupe against CRM
- OutputLog switchable prospects to AirtableAirtable
What it does
Mines your competitors' GitHub stargazers as a prospecting source. It watches the repos of rival developer tools, enriches the people newly starring them, scores how well they fit your ICP, and records the strongest candidates in an Airtable pipeline — these are people actively evaluating tools in your category.
When to use it
You compete in a crowded developer-tooling space and want a steady feed of in-market prospects already shopping for an alternative. Run it weekly to keep a fresh poaching list.
How it works
- 1A scheduled trigger runs on your chosen cadence.
- 2The flow lists stargazers added since the last run across the competitor repos you track.
- 3Each profile is enriched via GitHub, with Exa adding company firmographics.
- 4A scoring step rates ICP fit and tags which competitor signal they came from.
- 5A logic gate keeps only prospects above the fit threshold and not already in your CRM.
- 6Qualified prospects are written to an Airtable pipeline with score, source competitor, and enrichment notes.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect ExaNeural search across the web.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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