AI
Building in the Token Economy
For about two years, building with AI felt free. It wasn’t. Someone was just paying for it. Now the bill is showing up. Uber capped how much its …
Read article →// Articles
Ideas, frameworks, and lessons from 18 years of building products. Not theory. Things I've learned by doing it.
AI
For about two years, building with AI felt free. It wasn’t. Someone was just paying for it. Now the bill is showing up. Uber capped how much its …
Read article →
AI
I caught myself last week telling a founder he was at Level 2 of agentic engineering. He looked at me like I’d made up the levels on the spot. I …
Read article →
Design
There’s an unspoken rule in product design that nobody writes down but every user enforces: the moment you came for needs to happen fast. Not …
Read article →
AI
Most mornings I’m running four or five parallel workstreams before lunch. One agent is building a feature on a project, another is reviewing a …
Read article →
AI
I was riding the wave like everyone else. Open source AI agents, personalities on Telegram, server integrations, multi-agent orchestration. The …
Read article →
AI
I shipped four products in the past year. tini.bio, lst.so, gratu, nod.so. All of them built with AI writing most of the code. Claude Code handles my …
Read article →
AI
In the last two weeks I’ve had a handful of conversations with founders. Different industries, different stages, different products. But the …
Read article →
AI
You built it in a weekend. Cursor, Bolt, v0, maybe Replit. It runs on your laptop, it looks good in a demo, and investors leaned in when you showed …
Read article →
Software
I spent 18 years estimating how long products take to build. Story points. T-shirt sizing. Sprint planning. Quarterly roadmaps. Gantt charts that …
Read article →
Entrepreneurship
Every startup blog will tell you the same thing about idea validation: validate before you build. Do 20 customer interviews. Run surveys. Create a …
Read article →
Software
For 20 years, building a software product meant the same thing. Hire a team. Write a spec. Sit through standups. Wait months. Spend six figures. Hope …
Read article →
Software
I shipped five products recently. All within about six weeks. Different stacks, different users, totally different problems. Two of them are already …
Read article →
Software
A 5-person team in 2026 can ship what a 50-person team shipped in 2016. AI has compressed the development curve dramatically. The question every …
Read article →
Software
Most AI products fail twice: once when the technology doesn’t work, and again when nobody wants it anyway. Traditional validation focuses on …
Read article →
Software
Everything you learned about product management is wrong for AI products. Roadmaps? Useless when underlying capabilities change every few weeks. …
Read article →
Software
Your startup doesn’t have an AI problem. It has a product problem that might be solved with AI. This distinction is everything. Get it wrong, …
Read article →
AI
The main reason AI projects fail is simple: companies start with the technology instead of the problem. 42% of companies scrapped their AI initiatives …
Read article →
AI
The fastest way to ship AI products is with a pod—a small, complete team that owns outcomes—not traditional hiring. A 3-4 person pod (ML engineer + …
Read article →