LEAD GENERATION
Detect multiple stargazers from one company and roll them into a HubSpot account
When several people from the same company star your repo, group them as buying-signal evidence, create or update a HubSpot company record.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub star event on repoGitHub
- ActionResolve + enrich company domain via ExaExa
- ActionAppend stargazer to per-company tallyPostgres
- LogicCheck multi-stargazer threshold
- ActionUpsert account in HubSpotHubSpot
- OutputAlert account owner in SlackSlack
What it does
Treats clusters of stargazers from the same employer as an account-level buying signal. Rather than scoring individuals in isolation, it groups stargazers by company domain, and when a company crosses a threshold of distinct stargazers, it builds an account-level HubSpot company record and notifies the owner.
When to use it
You run account-based outreach and care more about which companies are interested than which individuals. Useful when a single team evaluating your tool shows up as several stars over days or weeks.
How it works
- 1A GitHub webhook captures each new star event.
- 2The flow resolves the stargazer's employer to a company domain and enriches it via Exa.
- 3The new stargazer is appended to a running per-company tally in Postgres.
- 4A logic gate checks whether the company has crossed the multi-stargazer threshold.
- 5Qualifying companies upsert as a HubSpot company with all known stargazers attached.
- 6The flow notifies the assigned account owner in Slack that the account is heating up.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect ExaNeural search across the web.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect HubSpotCRM, deals, marketing, support.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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.
Fast-track hot webinar leads into HubSpot and ping the rep on Slack
After a webinar, identify attendees whose poll answers signal high purchase intent, create or update their HubSpot contact with a lead score.
Agent-driven Brave intent harvest with enrichment and Gmail draft outreach
A CEO-driven agent harvests intent signals from Brave, enriches each prospect via web research, writes a personalized cold email.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.