VISAL NKR — WHERE GTM MEETS AUTOMATION
Welcome to my GTM lab — a space where outbound systems, AI automation, and revenue operations come to life. Building signal-based prospecting engines and scalable B2B GTM infrastructure.
┌───────────────────────┐ │ GTM SYSTEMS CLI │ │ │ │ > init signal_engine │ │ > qualify --icp │ │ > status: active │ └───────────────────────┘┌─────────────────────────────────────┐ │ │ │ ╔═════════════════════════════╗ │ │ ║ VISAL NKR - GTM ENGINE ║ │ │ ╚═════════════════════════════╝ │ │ │ │ > init signal_engine │ │ > qualify --icp │ │ > enrich --clay │ │ > sequence --ai │ │ │ │ status: building systems │ │ last update: today │ │ │ └─────────────────────────────────────┘
GTM Systems
Detects hiring activity, funding events, and technology changes. Enriches and qualifies accounts in Clay against ICP criteria, and routes high-intent prospects into personalized outbound sequences.
Automates inbound lead enrichment, HubSpot record creation, contact routing, and account qualification through webhook-driven workflows.
Scores accounts using firmographic, hiring, funding, and technographic signals. Routes high-fit prospects into AI-personalized outbound campaigns and sequencing workflows.
Complete CRM infrastructure including lifecycle management, lead routing, workflow automation, and funnel reporting to support outbound and revenue operations at scale.
Real-time detection and monitoring of buying signals across multiple data sources including website activity, hiring events, funding announcements, and technographic changes.
AI-powered tool for prospect research and personalization using prompt engineering. Automatically generates contextual outreach messaging based on prospect data and company insights.
Intelligent account segmentation and multi-factor scoring system using ICP criteria, firmographic data, and buying signals to prioritize high-value prospects.
Waterfall enrichment system using Hunter.io, Prospeo, NeverBounce, and BuiltWith. Ensures every prospect record is comprehensive, verified, and ready for outbound execution.
Insights
Insights from building GTM systems, automation workflows, and revenue operations infrastructure.
Learnings from detecting hiring activity, funding events, and tech changes. How to combine signals for maximum predictive power.
Insights from designing Clay workflows and HubSpot infrastructure to handle hundreds of prospects with personalization at scale.
From defining ideal customer profile to executing signal-based qualification and routing qualified leads into personalized sequences.
Using prompt engineering and structured data extraction to create contextual, personalized outreach at scale.
Work in Progress
Active GTM systems under development. Building the next generation of signal-based prospecting and automation.
Expanding signal detection to multiple data sources for comprehensive buying intent coverage
ML-powered account scoring using historical conversion data and firmographic patterns
AI-powered lead qualification routing prospects directly to sales with confidence scores
Dynamic sequence optimization using engagement metrics and response patterns