Martin Knapic (@MartinKnapic) header
Martin Knapic (@MartinKnapic) profile picture

Product Manager

Barcelona, Spain
Joined June 2014
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This week on Product Moat: Grega Pusnik, Head of Product at Joan, on why AI makes it easier than ever to ship a lot of things, and a lot of bad things.
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3/ Designers and engineers at Joan write skills a PM can use. With them, a PM builds an 80% prototype, ships it behind a feature flag, and real customers try it before the full design, engineering and QA review.
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I run Product Moat, a free weekly interview series with product people about how they actually work. This week: Grega Pusnik, Head of Product at Joan (90+ countries). He went from developer to Head of Product at the same company in 11 years. Full interview in the reply👇
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A while ago I started using Claude Code, prompting my way into building software with no formal coding background. Pure curiosity about what these tools could actually do. Caroluma was born, and it's the best proof I have that there's no better way to learn than to do.
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So here I am with a working product that might lighten your day. Try it, share it with people you care about, and give me your honest feedback. Would love reasons to improve it. caroluma.com
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Building with AI didn't just help me ship faster. It keeps pulling me deeper into engineering than I planned, and that's the real education, still very much in progress.
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Net effect: I spend more time hardening and optimizing than writing new features, and I care more about technical quality than I expected going in.
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Cost optimization is becoming a real discipline too. How the database is set up and how much traffic it handles hits the bill directly, so I keep learning to make it efficient, not just functional.
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Security and privacy are becoming a real design constraint, not an afterthought or a checkbox before launch.
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As a PM I already thought in trade-offs and failure modes. What's different is daily hands-on coding: it pulls me into a rabbit hole where I have to understand what's behind a problem, not just describe it.
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Skill production is becoming my main productivity lever. Not writing more code faster, but building reusable skills and workflows that compound over time.
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Systems thinking keeps growing on me. I pay more attention to how real eng teams produce code and build in QA, and how to compress that into something a one person team can run without dropping the ball.
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It's not a one time lesson, it's an ongoing experience. The more I stay in it, the more it pulls me deeper into engineering concepts. A few things I'm noticing:
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Do you remember when you joined X? I do! #MyXAnniversary
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