GTM Engineering Portfolio · live demos, no setup

The Revenue Machine

Five interlocking, free-tier-buildable systems that together form a complete B2B SaaS revenue engine — inbound, outbound, warm, data foundation, and measurement. Most candidates show one outbound workflow; this shows the whole system, with revenue impact proven in numbers.

Every project below runs right here in your browser on baked synthetic data — classify a signal, route a lead, detect a job change, interrogate attribution. No keys, no signup.

How the system fits together

live data flows left → right

P1 · Signal

outbound

signal

P3 · Inbound

speed-to-lead

lead

P4 · Champion

warm

warm intro

P2 · Data

foundation

clean data

HubSpot

CRM

deal

P5 · Control Tower

attribution + ICP

ICP loop

P5 feeds refined ICP back into P1 — a closed loop

signalleadwarm introclean datadeal

↩ P5 feeds a refined ICP back into P1 and data-quality SLAs back into P2 — a closed loop.

P1Outbound→

Signal-to-Sequence Engine

Turns free, public buying signals into prioritized, personalized outbound — so reps work the ~235 accounts with a live trigger instead of blasting all 500.

67.8%: accounts with a live signal
+19%: reply rate vs cold control
47 A · 188 B: priority accounts surfaced

Open live demo + case study

P2Data foundation→

RevOps Janitor

Continuous CRM hygiene, dedupe, and a per-record data-health score — the foundation every other GTM automation depends on.

86.2 → 93.6: avg health score (projected)
93: duplicates flagged for merge
53: deliverability-risk records suppressed

Open live demo + case study

P3Inbound→

Inbound Concierge

Speed-to-lead as a full system: every inbound demo request is enriched, scored, deduped, routed, and offered a booking link in under 5 minutes — with SLA escalation if a rep stalls.

~2.6 min: median first touch (vs 24h)
45.8% vs 17.9%: meeting rate (within SLA vs breached)
2.6x: conversion lift from speed

Open live demo + case study

P4WarmStandout→

Champion Job-Change Engine

When a past champion changes jobs they carry trust into a brand-new account. Detects the move, ICP-checks the new company, drafts a warm re-intro, and hands the rep their highest-odds opportunity of the week.

38 → 35: champion moves → A/B-fit warm plays
34.4% vs 11.6%: win rate vs cold (~3x)
~$32k: avg won ACV

Open live demo + case study

P5Measurement→

Revenue Control Tower

SQL models + dashboard that quantify every workflow's pipeline impact, plus a weekly AI-written exec narrative and an ICP feedback loop back into the outbound engine.

$2.27M: won pipeline attributed by workflow
~20% → ~7%: cold's share of effort vs wins
36% vs 7%: tier A vs C win rate

Open live demo + case study

GTM for founders

GTMtok

A reel-style feed of market-tested GTM lessons from real B2B SaaS companies: one card, one tip, built for founders who want sharper distribution instincts.

Open GTMtok

Each demo mirrors the exact logic the production system implements in SQL, Clay AI columns, and prompts — ported to deterministic TypeScript so the numbers stay honest. Full code, n8n workflows, SQL, and case studies live in the gtm-portfolio directory.