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I design and build production-grade digital products — from concept to working prototype.

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I helped these brands design, test, and ship faster.
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo
01_Capgemini logo
02_Spark logo
03_Adamed logo
04_Done logo

— ABOUT

Lukasz Migacz

I validate product ideas by building prototypes that look and behave like the real thing — with real data, real flows, and real user feedback. No disposable mockups. No guesswork. Working software you can test, demo, and build on.

AI accelerates my process — from prototyping to automations that replace manual work across teams. Twenty years of design leadership ensures the craft. The result: faster validation, clearer handoffs, and foundations built with the same discipline as the final product.

Learn more

— WHAT I DO

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— HOW CAN I HELP

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Product strategy & concepting

From Idea to Product

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There's a product idea but no prototype, no validation, and no clear path to v1.
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The founding team is technical but has no design partner to shape the product experience.
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Decks and wireframes aren't enough — investors and stakeholders need to feel the product.
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Hiring a full design team is premature, but the product needs senior design thinking from day one.
Products & platforms

From Product to Scale

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Stakeholders squint at static mockups and still can't tell what they're buying.
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Real user feedback only arrives after development — when changes cost the most.
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Prototypes get thrown away and rebuilt from scratch because nothing was built to last.
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Figma, code, and documentation are all out of sync — no single source of truth.
Design operations

From Friction to Flow

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Each designer works differently and nothing is repeatable.
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There's no user testing framework, so decisions come down to the loudest voice in the room.
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Design, product, and engineering work in silos and don't share context.
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What worked with two designers falls apart at five — and every shortcut compounds into debt.
AI adoption & integration

AI That Ships

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Teams use AI in isolation instead of connecting it across product, design, and content.
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Competitors are shipping AI-powered features while the team is still debating.
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Everyone defaults to one LLM for everything instead of matching models to use cases and budgets.
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Repetitive cross-team processes still run on email and spreadsheets when they could be automated.

— LET'S TALK

I turn pain points into turning points.

What should we build today?

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