Most companies don't have a marketing problem.
They have a translation problem.
The CMO who
speaks engineer.
2017. Built an AI marketing and sales system — five years before ChatGPT existed. Called it ABBI. Year one: $1M revenue, zero ad spend. Forbes covered it.
The credential isn't the result. It's the year.
On Solana in 2021, before institutions had a thesis. Two million social media followers before platforms had playbooks. The pattern is consistent: three years early, every time. Not luck — a documented cognitive architecture.
Why the translation actually works.
Whole-brain thinker. HBDI tested — extreme scores across all four cognitive domains simultaneously: analytical, structural, creative, interpersonal. The profile that can stand in an engineering standup, understand what's actually being built, and write the GTM strategy that makes the market understand it too.
Most people operate in one or two domains at high capacity. Some manage three. Very few run all four simultaneously without degrading any of them.
That's not a skill set. It's a cognitive architecture. It's why engineers trust the marketing read — and why the market understands what engineers build.
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I've been at the technical-marketing intersection long enough to recognize what the next wave looks like before it has a name. That's not a claim — it's a track record.
That's not a portfolio. That's a thesis playing out.
Four products. All built
before the category peaked.
AI product photography for online sellers. Upload one photo. Get 12 professional results in under 10 seconds. Six marketplaces, AI lifestyle scenes, and a community Vibes marketplace where creators earn credits. Available on iPhone and web.
Built in 2017 — five years before ChatGPT. ABBI qualified leads, drove customer conversations, and closed sales at scale. $1M revenue in Year 1. Zero ad spend. Forbes covered it. The category didn't have a name yet.
AI-powered medical provider directory compliance for health insurers. Automates the CMS-mandated 90-day verification cycle, detects ghost providers (listed but no longer active), and eliminates the $25,000/day penalty risk from inaccurate directories.
The global standard metric for national AI readiness. Called "The New GDP." Tracks compute density per capita across countries, giving policymakers, investors, and AI builders a data layer that didn't exist before. Who is GPU-rich. Who is GPU-poor. What it means for the next decade.
The specific problem this solves.
Technical founders. Series B and beyond.
Something real has been built — genuinely better than what the market currently believes. Engineering runs the roadmap. The story hasn't caught up to the product.
That gap — between what exists and what the market understands — is a specific, solvable problem. It requires someone who can operate on both sides of it without translating. Not summarizing engineering for marketing, or marketing for engineering. Actually functioning in both rooms at full capacity.
Two or three engagements at a time.
If the fit is there, it's clear quickly.
Real World Assets:
The Industry Report
Original research on RWA tokenization. Where the institutions are. Where the capital is moving. What the GTM opportunity looks like right now.
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