Cross-platform apps move fast, until native features start leaking into product code. BLE streaming, notifications, file access, analytics, all must behave consistently across iOS and Android without tangling UI logic with platform quirks or slowing tests to a crawl. Our current setup uses direct native bridges from a view-model into
At Hoomanely, USB isn't just a connector, it's a critical part of the power architecture. Almost every product we build uses USB for one or more purposes: powering the device, configuring firmware, transferring logs or data. But USB is more than a port, it defines an
During prototyping of our EverBowl and EverHub hardware, we used the Raspberry Pi Compute Module 4 as our embedded compute platform for early-stage development, a prototyping vehicle ahead of transitioning to Hoomanely's custom, purpose-built System on Module for production. The CM4 requires specific initialization procedures to establish reliable
Storage wear and tear: a practical engineering guide from EverBowl's memory pipeline This post explains how the EverBowl platform uses PSRAM as a buffer and a flash-aware firmware stack to extend flash lifetime. It covers concrete implementation pitfalls and solutions, datasheet-backed guidance, and a practical checklist for engineers
Have you ever wondered how your pet's GPS tracker knows whether they're running, resting, or digging in the backyard? Or why sometimes the tracker seems to lose accuracy after a few weeks of use? The secret lies in a sophisticated component called an Inertial Measurement Unit,
At Hoomanely, we set out to build connected pet products that could genuinely understand pet behavior and health through multiple sensors working together. Trackers needed to monitor activity, detect vocalizations, track location, and communicate over long distances. Smart bowls needed to measure food consumption precisely, detect presence, capture video, and
When you're holding a PCB prototype, it's easy to focus on the exciting parts, the microcontroller, the sensors, the wireless module. But here's what I've learned at Hoomanely: the humble connector is often the difference between a product that lasts 5 years
Intro Devices in the field constantly send motion, temperature, and power data. In connected pet-tech products like ours, catching unusual patterns right on the device can prevent bigger problems, like a collar overheating or a tracker's battery draining too fast. Detecting anomalies locally means we can react in
How AI models are shrinking without losing their minds. Many of our real-time models, from detecting dog motion to analyzing eating patterns, run directly on embedded systems. At Hoomanely, we pair lightweight CNNs like MobileNet with quantization and pruning to get low-latency inference without giving up reliability. Processing data locally
In digital platforms where content relevance drives engagement, location-based geofencing plays a key role in connecting users with contextually meaningful information. It helps ensure users see posts that are local, timely, and personally relevant, a nearby dog park meet-up, a local pet store promotion, a real-time alert about a lost