Journal
What we have learned, written down.
Notes on the decisions seed-stage founders actually face. Every piece says when it was written and when it was last checked, because advice with no date is advice you cannot weigh.
Deep tech
Quantum, spacetech, AI hardware, sensing and climate: turning a technical lead into paying customers.
The modern AI pricing dilemma
How to price a generative AI product when inference costs vary with use and the underlying models keep getting cheaper every few months.
Why trust is the essential moat for AI startups
When model performance becomes a utility, defensibility shifts to reliability, transparency and fairness. How to build and measure that.
Your first 100 users: a go-to-market playbook for vertical AI startups
Why SaaS growth playbooks fit vertical AI poorly, and what to do instead: one critical workflow, deep integration, and an enabled internal champion.
How to acquire your minimum viable dataset efficiently
Eight capital-efficient plays for acquiring the smallest useful dataset, and how each one evolves into a compounding data flywheel.
Five core moats for sustainable AI ventures
Data, workflow, network effects, distribution and brand: the five barriers that make an AI company defensible once model access is a commodity.
A 90-day plan for your first business executive in a scientific team
A three-phase plan for a senior commercial hire joining a research-led company: immersion, then mapping and translation, then co-creating the roadmap.
Hiring your first quantum commercial team: translators, not quota-crushers
Why a conventional enterprise sales hire struggles in a quantum company, what to look for instead, where to find those people and how to compensate them.
A quantum founder's guide to justifying enterprise value before advantage
Two ways to make an early quantum partnership legible to a finance team: frame the fee as an option premium, and cost it against building the team in-house.
Patent or trade secret? A founder's decision framework
Three questions to help a deep tech founder decide whether a core innovation belongs in a patent application or stays a trade secret.
SaaS and vertical AI
Pricing, go-to-market and unit economics, at a time when AI is changing how software is bought.
Choosing your first SaaS hire: marketer vs salesperson
Your first commercial hire follows from your go-to-market motion. Inbound and product-led needs a marketer; outbound to named accounts needs a seller.
A founder's playbook for changing your pricing without losing customers
Moving customers off legacy pricing: three grandfathering options, how to communicate the change, and the internal alignment that has to come first.
How to structure good-better-best pricing tiers that drive expansion revenue
Give each pricing tier a job, build value fences with jobs-to-be-done, and design an upgrade path customers take as they grow.
A template for reporting SaaS metrics that builds confidence
A structure for the monthly or quarterly investor update: a short summary, an honest narrative, a small KPI dashboard, and specific asks.
Fundraising
What the evidence has to show before a round, and what founders are rarely asked until too late.
Seed is the new Series A, and what that means if you are raising pre-seed
Cheaper building has pushed seed-stage expectations earlier. Pre-seed founders are now assessed on validation evidence they have often not gathered.
Designing a cap table and ESOP to hold scientific talent for a decade
Why a four-year vest fits software better than deep tech, and four options for a longer equity horizon to discuss with your own lawyer and accountant.
Consumer and lifestyle
Channel economics, margin and repeat purchase. We are writing here next.
Nothing here yet. The advisory work exists; the writing has not caught up.What we do in this sector