// GTM_SYSTEMS_ARCHITECT
I replace Zapier spaghetti with event-driven pipelines. I de-anonymize dark traffic. I automate technical research at scale — so your team closes faster with better data.
n8n · Go · PostgreSQL
// CASE_STUDIES
Full architecture walkthroughs for every project.
PROBLEM
Sales team spending 3hrs/day on manual prospect research with 60% stale data.
SOLUTION
Built a Go + Chromedp scraper with Groq AI scoring — enriched profiles delivered in < 2 seconds.
PROBLEM
Company paying $1,200/mo on Zapier tasks and missing 40% of inbound leads.
SOLUTION
Replaced Zapier with a custom n8n + Go microservice handling 10k enrichments/mo at $0 infra cost.
PROBLEM
Zero visibility into which prospects were actively researching their product category.
SOLUTION
Scraper aggregates G2, Reddit, and LinkedIn signals, scored via Groq AI, piped to Slack in real time.
PROBLEM
Outreach sequences managed in spreadsheets — 30% of follow-ups missed every week.
SOLUTION
Event-driven sequencer via webhooks: triggers, delays, and personalization all handled in n8n.
PROBLEM
Lead data scattered across 4 tools with no single source of truth for the BI team.
SOLUTION
Unified enriched lead pipeline into PostgreSQL with automated normalization and Metabase dashboards.
// EXPERIMENTAL_LABS
Stress-testing the frontier of GTM technology so your team doesn't have to.
Passive visitor de-anonymization without cookies — reverse IP lookup + enrichment pipeline.
LLM-powered ICP simulation for stress-testing outreach messaging before it reaches real inboxes.
Open TypeScript node collection for common GTM workflow patterns. Drop-in and deploy.
// TECH_STACK
// INITIALIZE_CONTACT_SEQUENCE
⚡ This form triggers my enrichment pipeline. By the time I reply, I'll already know your stack.