Case studyAI Automation

ExplodingLeads — Lead Signal Engine

A lead-signal engine that monitors hiring, expansion, and job-posting signals, then qualifies them with AI before delivery. Sales teams receive context-rich leads in Gmail instead of manually scanning the web.

System stack
n8n
Google API
RapidAPI
OpenAI API
Gmail
LinkedIn
Built forA real operational bottleneck
Business impactA faster, more reliable workflow
Delivery approachScoped, built, tested, and documented
01

Client challenge

Sales teams waste hours manually scanning LinkedIn, Google alerts, and news sources for buying signals — new hires, office expansions, and job postings that indicate a company is in a growth phase and ready to buy. No automation existed to surface and qualify these signals at scale.

02

What I built

I built an automated signal detection pipeline using n8n that continuously monitors Google and RapidAPI LinkedIn for new hire announcements, new location openings, and strategic job postings. Each signal is passed through an AI qualification layer that scores relevance against defined ICP criteria — and only warm, qualified leads are delivered directly to Gmail for immediate outreach.

  • Google and RapidAPI LinkedIn signal monitoring for new hires, locations, and job postings
  • AI-powered ICP qualification layer scoring each signal against defined criteria
  • Automated filtering to eliminate noise and surface only high-intent leads
  • Enriched lead records with context on the trigger signal
  • Direct Gmail delivery of qualified leads ready for outreach
03

Measured outcomes

The pipeline surfaces warm, signal-triggered leads on autopilot — eliminating manual prospecting entirely. Sales teams wake up to a Gmail inbox filled with qualified, context-rich leads that have already shown a buying signal, compressing the prospecting cycle from days to minutes.

See the system, not just the summary.

2 project views
ExplodingLeads signal engine interface — view 1

Primary workflow view

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