Notes on cloud infrastructure, AI engineering, and pricing — written for founders and engineers running a startup company, not a platform team.
Reserved capacity made sense when GPUs were scarce and teams were large. For a lean startup company, it's often the single worst line item on the bill.
Read post →Kubernetes is the right answer for a lot of companies. For a five-person startup shipping its first product, it's usually the wrong one — and the cost shows up later than you'd expect.
Read post →The gap between a working demo and a production AI feature is where most startup timelines quietly slip. Here's the checklist we walk every new team through.
Read post →Seat-based and tiered pricing were built for a world of predictable headcount growth. A startup's growth is anything but predictable — which is exactly the problem.
Read post →There's no universally correct stack — only the one that matches how big your team is today, not how big you hope it'll be in two years.
Read post →Latency is the metric most AI startups discover they should have been measuring the week after launch, instead of the week before.
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