AI
Introduction Running Python applications on edge devices is fundamentally different from deploying them on servers or developer laptops. These devices - whether embedded compute modules, IoT gateways, or sensor hubs - operate under strict storage ceilings and must deploy updates reliably without exhausting disk space. At Hoomanely, our edge systems
Hardware
Introduction: Making the Invisible Visible Our vBus modules represent a feat of extreme integration, condensing high-performance processors, switching power regulators, wireless transceivers, and sensor interfaces into PCBs measuring merely a few square inches. This density introduces a fundamental challenge: heat generation is concentrated, thermal gradients are steep, and component reliability
Software
When we're building a pet health app, speed matters. A dog's nutritional needs can change based on age, breed, activity level, and health conditions. Waiting 2-4 days for app store reviews to push a simple content update? That's too slow when pet parents need
Software
Onboarding friction kills conversion. When building Hoomanely's pet parent onboarding flow, we discovered that one seemingly simple question - "What breed is your pet?"—can cause unexpected dropoff. Pet parents would pause, scroll through endless dropdown menus, type partial breed names that didn't match
Flutter
Client applications don’t usually fail because of one big bug. They fail because a dozen tiny unbounded behaviors accidentally combine: a user tapping too fast, a scroll listener firing dozens of times per second, a reconnect event triggering a sync job, or a background worker replaying offline writes all
Introduction Choosing the right operating system architecture for embedded projects can make or break your product's success. Should you leverage Linux's rich ecosystem and powerful userspace, or does your application demand the deterministic behavior of a Real-Time Operating System (RTOS)? The answer isn't always
Hardware
Every PCB design carries an invisible but critical responsibility: to communicate clearly with the machines that will bring it to life. The CPL is that language. It tells automated assembly lines exactly what to place and where, converting engineering intent into manufacturing reality. When this translation is crisp, production is
Firmware
If there’s one thing every embedded engineer learns the hard way, it’s this: logging is both a diagnostic superpower and a silent system-killer. Too much verbosity buries the actual signal. Too little structure makes triage impossible. And remote-capture methods—if naïvely designed can distort the very timing bugs
AI
Introduction Most computer vision models begin with a clean, carefully curated dataset. But real-world systems rarely stay that way. They evolve. New environments appear, edge cases emerge, and model failures surface in ways that the original training data could never fully capture. This is especially true when deploying lightweight models
Software
Why We Even Built Tech-Enabled Pet Tags When we started Hoomanely, we knew pet parents wanted more than just another app. They wanted something tangible—something that bridges the digital world with their everyday life. That's when we started thinking about pet tags. But here's the