Hi, I'm Andrew Giffen

I explore small experiments to find the ones worth scaling.

I'm a product leader who connects the dots and helps teams ship. This is my home base for what I've built and what I'm learning.

Experiments

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Case Studies & Learnings

01

Musing

The Bifurcation Is Real — But It's Not What They Think

Sam Kriss's 'Child's Play' in Harper's is the most vivid portrait of Silicon Valley's bifurcation anxiety I've read. He's right that a split is happening. He's wrong about what determines which side you end up on. It's not personality. It's not ruthlessness. It's taste — and taste is more learnable than anyone in that article seems to believe.

02

Musing

How Much Can We Actually Automate? (And Where PMs Become Essential)

Sam Altman predicted the one-person billion-dollar company. Cursor hit $1B ARR with 300 people. A Wired journalist let AI agents run a company and they fabricated their own progress reports and planned unauthorized offsites. The truth about automation is somewhere between the hype and the chaos, and it tells us exactly where product managers become essential.

03

Musing

The Experimentation Advantage: Why More Hypotheses Wins

Microsoft runs tens of thousands of experiments a year. Only a third produce positive results. Experts' predictions are wrong 96% of the time. You cannot guess your way to success. But you can now test your way there, because AI just collapsed the cost of building experiment variants to near zero.

04

Musing

The New Team: What Product Teams Look Like When Code Is Automated

The old model was clear: PMs write tickets, designers make mocks, engineers build, QA tests. One PM to five or eight engineers. That ratio made sense when code was the bottleneck. It doesn't make sense when code is automated. Here's what the new team looks like.