Startup advisory & technical leadership
We help founders see what matters, solve what matters, and move forward — combining systems thinking, technical and business expertise, and the right people at the right time.
Time-boxed. Outcome-driven. No endless consulting.
01 — When founders call us
02 — What we do
You come with one concrete problem. We work out what actually needs solving, which expertise is missing, who to involve — and come back with recommendations you can act on.
A thinking partner for the decisions you can't make in a team meeting and shouldn't make alone. Not a course, not a framework — a person who has built things and will tell you what they actually think.
Senior technical leadership without hiring a full-time CTO. Eight years inside production systems — infrastructure, cloud, Kubernetes, platform engineering — applied to your architecture, your bill and your roadmap.
Not our main scope, but we can help with it — usually as a continuation of technical advisory, when the answer to the problem turns out to be a person you don't have yet.
03 — Underneath all of it
No single advisor has solved every problem. What matters is knowing who has.
When a problem sits outside our own expertise, we bring in people who have spent years inside it — not generalists with an opinion. You work with us, we stay accountable for the outcome, and you never manage a roster of strangers.
The most expensive thing a founder can buy is a senior-sounding guess in a domain nobody in the room has worked in.
04 — How we work
Find the real problem — which is usually not the one named in the first sentence.
Identify the expertise that's missing, and bring in the person who has already lived it.
Turn what we learn into options, a recommendation, and a plan with a sequence and owners.
Stay involved while it gets done, if that's what you need. Scoped separately, never assumed.
05 — Who you're working with
The Startupologist is led by Oksana Linkevych, a platform and DevOps engineer with 8+ years of experience running Kubernetes in production, rebuilding observability stacks, cutting infrastructure spend, and keeping systems standing during the incidents nobody writes case studies about.
Her method is the engineering one: find where the constraint actually sits before touching anything, measure instead of assuming, and make the trade-offs explicit rather than fixing whatever is loudest. It works the same way on a problem that isn't technical.
She founded Tech Garden, a community for women in tech.
06 — Fit
Good fit: a technology startup where something is already happening — funding, revenue, paying customers, a working product, a growing team — and a decision in front of you that is expensive to get wrong.
07 — Start here
If we're not the right people for it, we'll say so on the call and point you at who is.