ARCHITECTURE
System design, scalability decisions, and long-term technical trade-offs.
The Complete SaaS Technology Stack for 2026
Choosing the wrong technology stack can slow development, increase costs, and create scaling problems that are painful and expensive to fix. This guide covers every layer of a modern SaaS stack with concrete recommendations for each growth stage.
Users Sign Up but Never Become Paying Customers
High signup volume and low paid conversion is one of the most demoralising SaaS metrics to stare at. It tells you acquisition is working but something between sign-up and payment is broken. Here is how to find it.
Launched Your MVP but Users Aren't Returning?
Launching an MVP and watching DAU flatline after the initial surge is a specific kind of product failure. It usually means core value delivery is too slow, the habit loop is missing, or the wrong users showed up. Here is how to diagnose it.
SaaS Churn Increased Suddenly: What to Check First
A sudden churn spike is different from gradual churn growth it points to a discrete event. Knowing which event to look for first is the difference between recovering in two weeks or spending three months on the wrong diagnosis.
Customer Support Requests Grew Faster Than Your Team
When support ticket volume grows faster than headcount, the instinct is to hire. The better instinct is to ask why tickets are being generated at all. Most support overload is a product problem with a UX fix, not a staffing problem with a hiring fix.
Your Application Was Fast at 100 Users. Why Is It Slow at 10,000?
Performance that was fine at small scale almost always degrades through the same patterns at growth: N+1 queries, missing indexes, no caching, synchronous blocking, and missing pagination. The good news is these are all diagnosable and fixable without a rewrite.