Push GitHub Leads to Dripify for LinkedIn Outreach Automation

Why Combine GitHub Signals With LinkedIn Outreach

GitHub and LinkedIn are two sides of the developer identity: GitHub shows what developers are building and evaluating; LinkedIn is where professional outreach happens. GitLeads captures the GitHub side — new stars on tracked repos, keyword mentions in issues and PRs — and Dripify automates LinkedIn connection sequences. Together, you get a pipeline that starts with real buying signals and executes outreach through the channel developers actually respond to.

The critical difference: you're not cold-prospecting random developers on LinkedIn. You're reaching people who have already shown intent — they starred your competitor's repo, mentioned a pain point keyword, or opened a GitHub issue about a problem your product solves.

How the GitLeads → Dripify Integration Works

Dripify accepts prospects via CSV import or its API. GitLeads pushes to Dripify through one of two paths:

1. GitLeads webhook → Make/Zapier → Dripify API: GitLeads fires a webhook for each new lead; Make or Zapier maps the fields and calls the Dripify prospect import endpoint
2. GitLeads webhook → Clay → Dripify: use Clay to enrich the GitHub lead with a LinkedIn URL, then push the completed record to Dripify

Step-by-Step: GitLeads to Dripify via Webhook + Make

1. In GitLeads, set up your signal sources: add repos to Tracked Repos, configure keyword monitors in Tracked Keywords
2. Go to Settings → Integrations → Webhook and create a new webhook destination
3. In Make (formerly Integromat), create a new scenario with a Webhook trigger (Custom Webhook)
4. Paste the Make webhook URL into the GitLeads webhook destination
5. Add a Make HTTP module to call the Dripify API: POST /api/v2/prospects with the lead's LinkedIn URL and custom variables
6. Map GitLeads fields: use signal_context as a Dripify custom variable for personalization in sequence messages
7. Test: trigger a test signal in GitLeads and verify the prospect appears in your Dripify campaign

Webhook Payload and Dripify Mapping

// GitLeads webhook payload
interface GitLeadsWebhookPayload {
  event: 'lead.created';
  lead: {
    github_username: string;
    name: string;
    email: string | null;        // public GitHub email if available
    linkedin_url: string | null; // if Clay enrichment added this
    company: string | null;
    location: string | null;
    bio: string | null;
    top_languages: string[];
    followers: number;
    signal_type: 'stargazer' | 'keyword';
    signal_context: string;      // e.g. "Mentioned 'redis alternative' in issue #..."
    signal_repo: string;         // e.g. "redis/redis"
    captured_at: string;
  };
}

// Dripify API call (via Make HTTP module or Zapier)
// POST https://api.dripify.io/api/v2/prospects
// {
//   "linkedin_url": lead.linkedin_url,
//   "first_name": lead.name.split(' ')[0],
//   "campaign_id": "your-campaign-id",
//   "custom_1": lead.signal_context,    // "Mentioned 'redis alternative' in issue..."
//   "custom_2": lead.top_languages.join(', '), // tech stack reference
// }

Personalizing Dripify Sequences With GitHub Context

The power of this integration isn't just automation — it's personalization at scale. Dripify allows custom variables in sequence messages. Map the GitLeads signal_context field to a Dripify custom variable, then reference it in your connection request or follow-up:

• Connection request: "Hi {{first_name}}, saw you're building with {{custom_2}} — noticed {{custom_1}}. Would love to connect."
• Follow-up: "Your {{custom_1}} — we solve exactly that at [Company]. Worth a quick chat?"
• Signal-specific context typically doubles connection acceptance rates vs generic templates

Getting LinkedIn URLs for GitHub Leads

Dripify requires a LinkedIn profile URL, which GitHub profiles don't always include. The recommended enrichment path:

1. Route GitLeads webhook to Clay first
2. In Clay, add a LinkedIn enrichment step (Clay has built-in LinkedIn lookup by name + company)
3. Only push records to Dripify where Clay successfully found a LinkedIn URL
4. This filter typically matches 40–70% of developer leads captured by GitLeads