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Perspectives on Product & Growth
I write about what actually works in product management, growth, and AI, based on real experience, not theory. Follow on Medium to get new pieces when they drop.
Topics I cover
Product Craft
Building, shipping, decision-making
Growth & GTM
Acquisition, pricing, go-to-market
AI & Technology
AI in products, GEO, the future of PM
Data & Decisions
Metrics, analytics, what to measure
Customer Insights
User research, churn, retention
Startup Lessons
Working with founders, 0-to-1
Recent pieces
What Founders Get Wrong When They Try to Be Their Own PM
Most early-stage founders do not need a product manager. Until suddenly they do, and by then they have already made the expensive mistakes that a PM would have caught. Here is what those mistakes look like from the inside.
How to Know If You Have Product-Market Fit (Not the Theory, the Actual Signals)
Every founder says they're 'working toward PMF.' Very few can say specifically what they're measuring to know when they've crossed the line. Here are the signals that actually matter — quantitative and qualitative.
Why Adding AI to Your Product Is a Strategy Decision, Not an Engineering One
Every product team is being pressured to add AI. Most of them start with the wrong question. The question is not how to add it. It is whether the problem you are solving is genuinely better solved with AI, and whether solving it that way builds anything defensible.
Distribution Before Features: The Mistake Most Founders Make in Year One
Founders build great products that nobody finds. The temptation is to ship more features. The real problem is almost always distribution. And unlike features, distribution does not fix itself.
How to Get Your First 10 Customers Without a Sales Team
The first 10 customers are not a sales problem. They are a founder problem. The playbook that gets you from zero to ten is completely different from the one that gets you from ten to a hundred, and most teams use the wrong one at the wrong time.
B2B SaaS Pricing: How to Set Your First Price When You Have No Data
Most early-stage founders underprice because they are afraid to charge what the product is worth. The ones who get pricing right do not have better data. They ask better questions.
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