Insights for
Builders & Founders
Practical advice on infrastructure, cloud costs and scaling your AI startup — written by engineers who work with it every day.
When to Hire an Infra Engineer vs Outsource
Your first infrastructure hire is one of the most expensive mistakes early startups make. Here's how to time it right.
Incident Response and On-Call for Startups
PagerDuty won't fix your outages. Incident response requires someone who knows your architecture, and startups handle it differently at every stage.
Rising AI Token Prices: What It Means for Startups - and What to Do About It
Major AI providers keep adjusting token and inference pricing upward or narrowing discounts. Here's how margin, runway and roadmap react - and a concrete playbook for founders who can't afford surprises.
Tips for an AI Hosting
This guide covers practical tips for AI deploy and AI hosting, helping AI startups avoid common infrastructure, GPU, cost and security pitfalls at early stages
A Practical Guide to Optimizing AWS Infrastructure Costs for Startups and Small Teams
Most startups and early-stage products don’t think about infrastructure costs at the beginning - and that’s absolutely fine. When you’re building a product and validating the market, speed matters more than efficiency.
Why Your Startup Is Overpaying for Cloud (And How to Fix It)
Most startups waste 30–50% of their cloud budget. Here are the five most common mistakes we see — and actionable steps to fix each one.
The Real Cost of Running AI Infrastructure in 2026
GPU costs, model serving, data pipelines — running AI in production is expensive. Here's a realistic breakdown of what it actually costs and where you can save.
Why We Call Ourselves Partners, Not Vendors
There's a meaningful difference between a service provider and a partner. Here's what that means for how we work with startups.