Insights From Builders
Deep dives on AI, software architecture, product development, and the industries we serve. Written by the engineers at Zyptr who build these systems every day.
Our Shopify Headless Migration Horror Story (And What We Learned)
A client wanted headless Shopify for "performance." What followed was six months of unexpected complexity, breaking changes, and hard-learned lessons about when headless is worth it.
Push Notifications That Get Opened: Engineering the Full Stack
The average push notification open rate is 4.6%. Our best-performing implementation hits 31%. Here's the full technical stack behind notifications that actually get opened.
Edge Functions Are Overhyped. Here's When They're Actually Worth It
Everyone's talking about edge functions like they're the future of backend. We've deployed them in production and the reality is more nuanced than the marketing.
The SaaS Metrics That Actually Predict Churn Before It Happens
Most SaaS teams track churn after it happens. We built a system that predicts churn 30 days before cancellation with 78% accuracy. Here's the engineering behind it.
E-commerce in Southeast Asia: 11 Technical Surprises We Didn't Expect
Building an e-commerce platform for Southeast Asian markets taught us things that no amount of research could have prepared us for. Here are 11 technical surprises from the trenches.
PostgreSQL vs MongoDB: The Actual Decision Framework We Use for Client Projects
We use both PostgreSQL and MongoDB extensively. The decision isn't about which is "better" — it's about matching database strengths to your specific data patterns and team.
App Store Rejection Hell: Technical Mistakes That Get Apps Rejected
We've had apps rejected by Apple 23 times across various projects. Here are the technical reasons that actually cause rejections — and how to avoid the review cycle nightmare.
Building Real-Time Dashboards: WebSockets vs SSE vs Polling in Practice
We build a lot of dashboards. The "real-time" requirements vary wildly, and so should your technology choice. Here's when each approach actually makes sense.
API Rate Limiting That Doesn't Make Your Users Hate You
Rate limiting is necessary but usually implemented badly. Here's how we build rate limiting that protects infrastructure without frustrating legitimate users.
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