Joel Martinez · Go-to-market operator
Build the thing. Push to main.
I'm a go-to-market operator who ships. Ten years carrying a bag, and AI-native enough to build the systems most operators wait on engineering for.
Signal engines, data pipelines, the automation that does the work of a team. I find what AI is actually good for, then build the thing and write about it. Everything below, I built by orchestrating AI. That is the point.
The Three Rings — how the work fits together
01
The Signal
Propensity models and signal engines that find who's worth talking to — the moment they're worth it.
02
The Send
Campaigns and channels that turn signal into real conversations.
03
The Rails
The governance and plumbing that keeps it all running without me.
The Circus — a suite of GTM intelligence tools
01
Merlin
Finds companies the moment they raise capital and scores each with an AI propensity model. A signal engine built entirely on Cloudflare — durable, scheduled, serverless.
02
Lamplighter
Type any company and see its go-to-market stack — what they run, who they buy from — fingerprinted live from the edge on Cloudflare.
03
Connie
Scans Ashby, Greenhouse, and Lever job boards concurrently and remembers every posting she's ever seen — run her on a cron and the diff is a hiring signal feed. Open-source Go, one static binary.
04
The Math of Sales
An interactive calculator for outbound: exactly what it takes — dials, conversations, meetings — to hit a revenue goal by cold calling.
05
Cassette
Desktop app for recording and transcribing meetings. Tauri + Whisper, designed to look like it belongs on a 1991 Macintosh.
06
Punch GTM
AI-powered sales agency. Pain-based segmentation and multi-channel outbound, run mostly by automation.
The Workshop — systems and programs I built for clients
07
Email From Zero
Stood up cold email as a brand-new channel for a phone-only mineral-rights company that had sworn off it — and turned a standing start into real positive replies and opportunities.
08
Integrator's Exit
A full custom pipeline for an M&A-arbitrage thesis no one else was chasing: sourcing → AI qualification → a seven-dimension propensity model → enrichment → CRM. 1,336 companies scored, 778 contacts.
09
Clinical Signal Platform
An eight-stage healthcare data platform with a real governance layer — audit logs and data lineage across every stage — plus compliance screening of 4,561 providers against a live federal exclusion dataset, zero misses.
10
SEC Form D Pipeline
Pulls newly-funded companies straight from SEC EDGAR and qualifies each with a two-tier AI agent. Filtered 14,749 targets from ~99,000 raw filings in about 24 seconds.
11
Signal-Index Engine
A propensity engine that scores thousands of brands on composite health signals, plus a crash-safe enrichment pipeline that resumes from exactly where it died. Architected for multi-tenant; 3,400+ contacts verified.
12
Reply → Slack Relay
A single Cloudflare Worker that turns cold-email replies into rich Slack alerts for any client — a new client goes live in about two minutes, one secret and one webhook.
13
CRM Sync Automations
Idempotent, state-tracked cron jobs that sync LinkedIn and cold-email activity into HubSpot with governance over what actually lands — auto-created contacts, notes, tasks, and routed hot replies. 2,214 leads across 10 campaigns.
14
GTM Skill Library
A reusable harness that brings governance to GTM sprawl — uniform interfaces and documented API contracts so recurring operations run the same way every time. Enrichment verified at an 80% hit rate.
15
Data-Companion Factory
Spins up a self-serve data project per client, so non-technical teammates can query their own campaign data without going through me. Four client instances built from one template.
Writing
Dumb Questions I Asked Claude Code X ↗ What is Rizz Dev? X ↗ The Opposite of a Business Truth is Another Business Truth X ↗