GTM engineering with a closer's instinct
six years carrying a bag. now building the system.
across saas and real estate · 2017—present
Every case study on this site is about finding signal in noise. This one's yours.
Runs entirely in your browser. Nothing is stored, nothing is sent.
Finding who's in market, when, and why — the engine nobody sees but everybody feels.
The message, the film, the frame — the thing that makes someone reply instead of delete.
Deals closed, pipeline moved, numbers hit — the reason any of it matters.
Six years carrying a bag taught me where deals actually come from. Now I build the systems that find them, and cut the films that make people reply.
Software engineering sits at 2 on purpose. Knowing where my edge ends is the skill — I direct the person who writes the code, I don't pretend to be them.
An AI voice agent for restaurants needed to know exactly who to sell to and how, not just that everyone with a phone was a prospect.
Built a live scoring system that reads funding, hiring, and product signals to tell reps exactly which accounts are in a buying window right now.
Replaced gut feel sponsorship decisions with a system that shows exactly where target accounts cluster and validates it against real event activity.
Replaced gut feel account prioritization with a live signal engine that tells reps who to call first and why, then automates the alert straight to Slack.