A decentralised AI network where consumers contribute video data through a mobile app and node operators run validator infrastructure. Operators evaluate the network on technical and economic terms; contributors respond to reward mechanics and community. One message could not serve both, and the network needed volume on both sides simultaneously to be commercially useful.
“Reggie helped build the growth team from the ground up. His leadership and hands-on approach inspired juniors and built awesome team culture.”
“Helped kickstart our marketing strategy from concept to new product launch.”
“Deep knowledge in marketing with a deep passion about crypto. Always quick to produce results.”
Founders who can explain the architecture precisely and struggle to explain what changes in a customer’s week.
Teams generating interest and evaluations that stall, because impressive is not the same as necessary.
Deals that close when the founder is in the room and stall when they are not. A positioning gap, not a headcount gap.
Story Mode turns technical capability into market demand — with a category narrative that holds up and execution discipline behind it.
AI startup marketing fails at translation more often than at volume. The work below is aimed at the gap between what you built and what a buyer understands they are buying.
Where you sit in a crowded market, defined so a buyer can place you in one sentence and repeat it accurately to a colleague.
Who the technical evaluator is, who the economic buyer is, and what each has to believe. AI deals routinely die because only one was addressed.
Messaging that leads with the job and uses the technical depth as proof, so credibility survives the simplification.
The path from impressive demo to qualified opportunity, which is where most AI funnels quietly leak.
Material that respects the reader’s expertise — evaluation criteria, honest limitations, real implementation detail.
A KPI framework that tells you what to scale, what to kill, and when — defensible when an investor asks.
Founder interviews, sales call review, and lost-deal reasons. What buyers actually say when they decline, rather than what the team assumes they mean.
The use case where you are clearly the right answer rather than a plausible one. Narrow beats broad when the category is saturated.
Messaging framework, content direction, channel priorities, conversion path, and the KPI model underneath it.
Weekly cadence, experiments against the messaging assumptions, and iteration on what is moving deals.
Embedded marketing leadership on a monthly retainer, scoped to a market where positioning windows close quickly.
Scoped as a monthly retainer against what the company actually needs. Reggie has personally led every one of these engagements.
One 30-minute call. A practical conversation about why your demos are landing and your pipeline is not.
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