AI AutomationProblem → system → impact

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.

Best for

Operations teams removing high-volume manual work

Business impact

A clearer, faster operating workflow

ExplodingLeads — Lead Signal Engine interface

01 · The problem

Client challenge

The operational constraint.

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 · The solution

What Orkestra built

A system designed around the work.

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 — passing each signal through an AI qualification layer before delivery.

Key capabilities

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Google and RapidAPI LinkedIn signal monitoring for new hires, locations, and job postings

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AI-powered ICP qualification layer scoring each signal against defined criteria

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Automated filtering to eliminate noise and surface only high-intent leads

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Enriched lead records with context on the trigger signal

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Direct Gmail delivery of qualified leads ready for outreach

03 · The results

Business impact

A clearer, faster operating workflow.

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.

04 · Stack used