VC / PE
Problem: Uncertainty about KPI delivery post-investment.
Outcome: Tech DD + risk map before the round.
Learn moreFounder-Operator · Fractional CTO/CPO · Advisor
I help founders and VC/PE investors deliver KPIs — faster and without chaos.
20 years in tech and product execution. Built 3 startups from zero to PMF and scaled delivery in Fortune Global 500. Now I guide founders and investors through the same process — concretely and without chaos.
3×
Consulting & Management in Fortune Global 500
20 years
in tech & product execution — 150+ products designed and shipped
30+
tech due diligence processes for VC/PE funds
5× founder
3× 0→1 build · 1× acquisition · B2B/B2C/B2B2C
Who this works for
I work with three types of clients — each has a different problem and gets a concrete outcome.
Founders / Operators
Problem: Operational chaos slowing execution.
Outcome: 90-day sprint to predictable delivery.
Learn moreEnterprise / Exec
Problem: No alignment between tech and business.
Outcome: One decision system: strategy → results.
Learn moreI'm not a consultant. I'm an operator.
Natu.Care and MoreGrowth are companies I co-founded and built as an operator — not as an external consultant. I work at my own risk with my own accountability for results.
When I enter an organization, I understand the pressure a founder faces and the language an investor speaks. I know from practice what burn rate, hiring mistakes, and product-market fit really mean.
Natu.CareCEO & Co-founder · own project
0 → 18M PLN ARR (run-rate 2026) · 5.5× YoY · 100K+ customers
PMF in 18 months. Subscription model with industry-leading retention. 27 European markets.
MindgramCTO & CPO
1M+ users · 80 countries · Forbes Best Startups 2025
AI deployed to production — hundreds of thousands EUR in annual savings, ~25 FTE OPEX reduction.
AnkietaPlusSolo Founder · bootstrapped
Solo-built SaaS · Fully automated · Self-sustaining
Built entirely alone from concept to GTM. Sales and billing run automatically without ongoing maintenance.
Case studies: problem → change → outcome
Natu.Care
CEO & Co-founder · own project
📌 Result: 0 → 18M PLN ARR (run-rate 2026) · 5.5× YoY · 100K+ customers
BEFORE
Starting from zero: no product, no team, no sales channels. Highly competitive supplements market with dominant incumbents and a short window to validate PMF.
CHANGE
Built a D2C e-commerce with subscription model and omnichannel growth engine. Combined product, tech, operations and performance marketing under one accountability. Iteratively validated PMF before scaling.
ONGOING
0 → 18M PLN ARR (run-rate 2026) · 5.5× YoY · 100K+ customers · 4.93/5 rating · 27 EU markets · actively scaling
Mindgram
CTO/CPO → CTO (2021–2025)
📌 Result: 1M+ users, 80 countries, AI saving ~25 FTE/year
BEFORE
Building a startup from scratch: no internal teams, product built by an external software house, investor pressure to scale fast.
CHANGE
Built the MVP and led the transition from software house to own cross-functional teams. Deployed AI to production — automating support, translations and content management.
AFTER
1M+ users · 80 countries · 37 languages · ~25 FTE OPEX reduction via AI · hundreds of thousands EUR saved annually · Forbes Best Startups PL 2025
Roche Diagnostics
IT Delivery Manager (2016–2018)
📌 Result: budget 1M → 4M CHF (4×)
BEFORE
Early-stage contract: 1M CHF budget, sub-10 person team, slow delivery throughput. Potential to take on a larger scope — but no operational structure to carry it.
CHANGE
Rebuilt the operating model: new vendor management structure, virtual team governance, ITIL service management. Systematically escalated responsibility and budget over 12 months.
AFTER
Budget 1M → 4M CHF (4×) in 12 months · Team <10 → 80+ FTE · Green KPIs: on time, on budget, on quality
InterviewMe
Growth and product scale-up
📌 Result: Conversion +208%, Retention +600%, Revenue +320%, acquired by BOLD
BEFORE
Delivery and process problems in technology. Breaking product, growing technical debt, no predictability in the roadmap.
CHANGE
Rebuilt the SaaS product from the ground up. Established 7 autonomous cross-functional teams. Built an experimentation culture: 120+ A/B tests, 42% success rate.
AFTER
Conversion +208% · Retention +600% · Revenue +320% · Subscription model · Acquisition by BOLD
Zety
Product & growth scale-up
📌 Result: growth 18→185 people, 100M global traffic, acquisition
BEFORE
Rapid growth of the organisation and product was threatening delivery quality and team overload.
CHANGE
Set up scaling of product and engineering through clear ownership, decision rhythm and a data-driven operating model.
AFTER
Growth 18 → 185 people · 100M global traffic · Acquisition
Services
Fractional CTO / CPO
C-level tech and product strategy without the full-time cost.
Read moreTech Due Diligence
10-point execution risk framework. 30+ DD processes across Europe.
Read moreKPI & Growth Optimization
I drive conversion, retention and delivery velocity through experiments that end in results.
Read moreAI Implementation
AI systems that reduce OPEX in production, not just in a deck.
Read moreCustom App Development
I build web, mobile and desktop from a founder's perspective.
Read moreTeam Building
Hiring strategy, roles and work rhythm so the team delivers consistently.
Read moreHow I work
Execution risk audit (VC/PE)
- • Fast tech due diligence + 30/60/90 action plan.
- • Timeline: 1–2 weeks · Format: remote or on-site
- • Output: 10-point readiness score + risk map + 30/60/90 plan
3-month operator sprint
- • I enter daily execution and rebuild delivery without adding chaos.
- • Commitment: 2–3 days/week · Format: hybrid
- • Output: predictable delivery system + new working rhythm
Fractional CTO/CPO
- • Ongoing strategic support for product + tech decisions tied to business outcomes.
- • Commitment: 1–2 days/week, min. 3 months · Format: remote-first
- • Output: strategy + execution without full-time C-level cost
Articles
Playbook · Fractional Leadership
Fractional CTO: When It Makes Sense — and When It's a Mistake
5 signals your startup needs C-level tech support — and 3 situations where it's a trap.
Guide · VC/PE
Tech Due Diligence for VC: What I Check and Why
10-point execution risk framework from 30+ DD processes across Poland and Europe.
Case Study · AI
AI in Your Company: How to Cut OPEX Measurably, Not Experimentally
How to deploy AI agents that actually reduce costs. Case from Mindgram: ~25 FTE OPEX savings.