LEAD GENERATION

High-Intent Stargazer Agent with Outreach Sequencing

An agent-driven workflow that detects high-intent GitHub signals (star plus fork or issue), researches the person and account, decides whether to enroll them in outbound.

CategoryLead Generation
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMulti-signal GitHub intentGitHubGitHub
  • ActionFetch user activity + profileGitHubGitHub
  • ActionResearch company + roleExa
  • LogicAgent decides enroll vs skip
  • ActionCreate HubSpot contact + companyHubSpotHubSpot
  • OutputDraft personalized first-touch emailHubSpotHubSpot

What it does

When a developer shows layered intent on your repo, this agent gathers context across GitHub and the open web, judges whether the account is worth outbound, and if so creates the contact in HubSpot and drafts a tailored first-touch email referencing what they actually did in your project.

When to use it

Use this when raw star volume is noisy and you only want sales effort on genuinely engaged developers. The agent's reasoning replaces brittle rules, so it fits teams wanting quality over quantity in a HubSpot-based sequence.

How it works

  1. 1A GitHub trigger fires on a stargazer who has also forked or opened an issue.
  2. 2The agent fetches the user's GitHub activity and profile via an action.
  3. 3An Exa research action gathers company context, role, and recent news.
  4. 4The agent reasons over fit and intent, deciding enroll or skip with a written rationale.
  5. 5For enrolled prospects, an action creates or updates the HubSpot contact and company.
  6. 6The agent drafts a personalized first-touch email in HubSpot referencing their specific repo activity.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  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.