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Scaling a Data Intelligence Pipeline: Conquering Memory Leaks and AI-Powered Fuzzy Matching
Calendar iconJuly 17, 2026

Scaling a Data Intelligence Pipeline: Conquering Memory Leaks and AI-Powered Fuzzy Matching

Scraping 15,000+ companies caused severe memory leaks. Discover how we fixed Heroku OOM crashes using a fan-out queue architecture, SHA-256 change detection, and a two-tier AI fuzzy matching system to build a highly scalable Data Intelligence platform.

Automating Tenant Onboarding With OCR and Identity Verification
Calendar iconJuly 16, 2026

Automating Tenant Onboarding With OCR and Identity Verification

Automating tenant onboarding with OCR and identity verification cuts move-in time from days to minutes. Here's how to build it so AI fakes don't slip through.

The Hidden Complexity of Building Cross-Platform Apps for Field Workers
Calendar iconJuly 14, 2026

The Hidden Complexity of Building Cross-Platform Apps for Field Workers

Cross-platform field service apps promise efficiency, but offline sync, GPS integration, and device constraints create hidden complexity. Learn what it really takes.

Bypassing the Missing SDK: Building a Custom Multi-Tenant TCP Server for Hardware Integration
Calendar iconJuly 10, 2026

Bypassing the Missing SDK: Building a Custom Multi-Tenant TCP Server for Hardware Integration

Discover how we integrated biometric hardware without an SDK using a custom .NET Core TCP server with reliable delivery and tenant isolation.

Why Offline-First Mobile Apps Matter in Field Service Operations
Calendar iconJuly 8, 2026

Why Offline-First Mobile Apps Matter in Field Service Operations

Why offline-first mobile apps keep field service operations running when connectivity drops, and how sync and conflict resolution decide success.

How We Eliminated 4.1 Billion Redis Calls Per Day with 10 Lines of Code
Calendar iconJuly 3, 2026

How We Eliminated 4.1 Billion Redis Calls Per Day with 10 Lines of Code

How a simple 3-tier cache enabled NUS Technology to eliminate billions of Redis reads, reduce AWS costs by 92%, and scale a high-traffic platform.

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