CrewLAB is where I learned to build a company from the data up. I joined in 2020 as a Data Scientist and stepped out of the COO seat in 2024, moving through Chief Data Officer along the way. That's a compressed way of saying I got to build almost every function of a startup at least once.
Data before there was a product
My first job wasn't to build the product. It was to figure out what the product should even be. So I designed and ran data-science reports for our earliest prospective customers, back when none of them were paying yet. Those reports were the wedge: a reason to sit with real coaches and teams, understand what the market actually needed, and let the data tell us where to aim.
That meant building custom data pipelines from scratch, doing hands-on client and user discovery, and constructing real machine-learning models to make sense of it all. This was the pre-AI age, and nothing was off-the-shelf. Actual algorithms, built and trained by hand, pointed at one honest question: what does this market need badly enough to pay for?
From data to co-founder
That work is what turned a data role into a founding one. As Chief Data Officer I built out the data architecture on GCP: pipelines, data governance (including COPPA compliance, which matters when your users are youth athletes), and BI dashboards tracking the metrics that actually predict a SaaS company's health, like LTV/CAC, activation, and retention. As COO I took over go-to-market and growth, 10x'ing subscriber growth through content, paid campaigns, and sharper positioning. I also ran financial operations, including helping raise our pre-seed and seed rounds totaling $3M.
What changed
We scaled from 0 to 10,000 users, 10 to 140 teams, and $0 to $100K ARR. I onboarded coaches and teams by hand across the country. That's the unglamorous, in-the-field work that teaches you what your product actually does for people.
Still in it
CrewLAB is why I believe operators should learn to build and builders should learn to sell. When the same person can read the retention curve, find the block, and write the campaign that brings the right users in, the loop between insight and action collapses to nothing.
And I never fully left. I'm still on the board, and in 2026 I came back to work directly with the team on the admin and payments build behind their Innovator Program, and on the AEO direction they're pursuing now. The operating philosophy I picked up here is the spine of how I work, and it's still in use with them.
By the numbers
- Scaled 0 → 10,000 users · 10 → 140 teams · $0 → $100K ARR
- Helped raise $3M (pre-seed + seed)
- 10x subscriber growth
