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Companies used to ask candidates to describe their process. Now they want to watch it — live, unedited, prompt by prompt. Most people are terrible at this interview, and it has nothing to do with their prompting skills.
Read more →PM craft, interviews, product judgment, and the maker bar for modern product work.
In 2026, "I understand AI" is not a superpower. Building something with it — live, in front of another human — is. Here's the free stack I use, and why a live URL beats your resume.
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Pain point thinking drives incremental hits. Desire-based thinking is where the 10x products come from — and nobody complains about a desire in a customer interview.
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SpaceX pitches Musk's five-step Algorithm to IPO investors. It's ostensibly about rockets — and actually about the quiet ways product teams waste their own time.
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Frameworks get you in the room. Taste gets you trusted.
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From Moto X wake words to Nest Auto-Away to today's LLMs, the hardest part of AI product work isn't building models — it's defining quality. The best AI PMs are measurement designers: inputs, outcomes, golden datasets, and evals that connect model behavior back to what users actually expect.
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Expectations for great PMs have shifted—from slide decks and PRDs to AI tools, side projects, and a maker's instinct to build. The old qualities still matter, but the new bar is simple: are you a maker?
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Simplicity is hard—but sometimes the most powerful product moves are subtractive. A numberless Robinhood Gold Card looked like aesthetics; after fraud, it revealed a lesson in seams, legacy, and what happens when you remove what no longer needs to be there.
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Most product managers think they need to pick just one pain point to build a focused MVP, but this approach creates "Minimum Products" that fail because they're not actually viable in the real world. This post introduces the "Product Onion" framework—how to build a hero feature at your core while strategically layering basic solutions to multiple pain points, creating MVPs that actually survive and thrive.
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If you're interviewing at Meta, Google, DoorDash, Coinbase, or Stripe, tradeoff questions are unavoidable—and they make or break your performance. Here's the mental model top candidates use, where others stumble, and the mistakes that sink interviews.
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How a simple mindset shift can transform your interview performance and confidence.
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How to navigate product sense interviews with confidence using the goal as your handrail.
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Transforming technical interviews from robotic recitations into compelling narratives.
Read more →History, investing, travel, and other things Mark is reading and thinking about.
Unsold stock is a fancier mattress — and the load-bearing beam of how large fortunes work. The real debate isn't fairness slogans; it's plumbing: how to tax wealth that can leave.
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Roughly ten companies now account for around 40% of the S&P 500. Wealth didn't just migrate into corporations — it piled up into a handful of them, and tax systems still only act when something is sold.
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For millennia, land was wealth. Over two centuries, ownership moved from acres to shares — and the tax systems built for immovable property still haven't caught up.
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Before we argue about billionaires and wealth taxes, we need to ask what wealth actually is — and why our tax systems still behave as if it has a mailing address.
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I didn't plan a career in finance — but twenty years of automatic QQQ deposits for my kids taught me what conviction, compounding, and not selling actually look like.
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I went to Hawaii to unplug. Instead, work found me on the pool deck — and the trip turned into a running list of what bad systems, capture, and cheap tradeoffs actually cost when time is scarce.
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Owning DNS, hosting, email, forms, and AI tooling shifted my stack from accidental to intentional. Here is what changed, what broke, and why composability beats defaults when you care about control.
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