Writing — a working ledger

A ledger of non-consensus bets — from early crypto and cross-border fintech to building in AI today.

The Control Plane a four-part series
Part 1 The Gateway Is Plumbing. The Control Plane Is the Prize.Why this layer exists: every layer of the AI stack, and why the durable money sits with the one that can say no. live Part 2 The AI Maturity LadderCompanies grow into needing a control plane, they don't start there. The ladder, and a ten-agent simulation of where a policy actually holds. live
Part 3 Everyone Agrees on Control. Nobody Agrees on Where It Lives.Mapping the four competing architectural bets for AI control: gateway, lifecycle, neutral layer, enterprise platform. A fair map each camp would recognize. in progress
Part 4 Why Enterprise AI Governance May Become Global AI Governance.Where the enterprise control layer and the coming public one converge. in progress
Work & track record
Currently building
Oriya

I bought the wearables and ended up with five dashboards, four scores, and no read on what any of them wanted from me. A bad number could quietly cost me a morning. That's what I build against.

One fair 0–100 recovery score to compete on: how well you recovered, not whose device runs generous.

Oriya normalizes Oura, Garmin, Whoop, and Apple onto that one index. Private beta in SF & NYC. The long arc is health data you own.

Visit Oriya

Diana has been building and selling since she was fifteen: e-commerce, simultaneous interpreting for government events and investor demos, albums of her own compositions. She grew up between Guangzhou, Cairo, and Seoul, watching who got to participate in that growth and who was quietly routed around it. That question has shaped everything since.

She studied across USC, Bocconi, and HKUST, and passed on the offers that followed, from JPMorgan, Bloomberg, and Bain, to build instead. Early growth and product across a run of hard fintech and web3 companies (VegaX Holdings, Solana Pay, Bifrost and BiFi, Demether, Tashi), then venture at Nest VC across Hong Kong and Singapore.

She's scaled startups from seed to Series B, and backs founders where most funds don't look: Accra, Lagos, Vilnius, Bali.

AI is making the product itself easy to copy. What it can't copy is distribution, trust, and a growth loop that compounds — the part I've spent my career on, in the hard version of fintech and web3 and now in AI. These days I take on a couple of fractional growth engagements at a time, and back the startups I believe in — sometimes with a check, always with the work: the loop that hasn't clicked, the developer tool individuals love but enterprises won't yet buy, the market your team can't reach, the inference bill outrunning the product. My edge is the growth most advisors can't do — cross-border, into the markets where the next users actually are. If you're teaching yourself into tech, that conversation's free — those I answer first.

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© Diana Seo Press ⌘K to jump · built as a working ledger