LEAD GENERATION
Weekly Stargazer Lead Digest to Airtable and Slack
On a weekly schedule, collects all new stargazers across your repos, enriches and dedupes them into an Airtable lead sheet.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionList new stargazers across reposGitHub
- ActionEnrich stargazer companiesExa
- LogicDedupe and rank by ICP fit
- ActionWrite leads to Airtable baseAirtable
- OutputPost ranked digest to SlackSlack
What it does
Once a week this workflow gathers every new stargazer since the last run, enriches each one with company data, writes deduped rows into an Airtable lead base, then posts a ranked summary of the strongest prospects into a Slack channel so reps can grab them.
When to use it
Use this when you don't need real-time alerts but want a steady, reviewable weekly pipeline of inbound interest. Ideal for small teams who triage leads in batches and live in Airtable plus Slack.
How it works
- 1A schedule trigger runs every Monday morning.
- 2A GitHub action lists new stargazers across the configured repos since the prior run.
- 3An Exa action enriches each stargazer's company with size, industry, and domain.
- 4A logic step dedupes against existing Airtable rows and ranks by ICP fit score.
- 5New and updated leads are written to the Airtable lead base with status New.
- 6A Slack message posts the top-ranked prospects as a claimable digest with links to each Airtable record.
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.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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For webinars that use free-text poll questions, an AI step reads each attendee's written answers, classifies intent and pain points into structured fields.
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After a webinar, identify attendees whose poll answers signal high purchase intent, create or update their HubSpot contact with a lead score.
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Manual Brave keyword sweep into an Airtable research board
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Run it inside a business
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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