Connected home devices for families: digital frames and shared calendars
Skylight makes consumer hardware—digital frames and calendar displays—designed to keep distributed families coordinated. The tech stack reveals a split-brain architecture: Rails + React on the backend for web and account management, paired with native Android (Kotlin, Jetpack Compose) for device firmware, plus AWS Lambda for serverless workloads. Engineering hiring is accelerating relative to other departments, while active projects cluster around forecasting, inventory optimization, and accessory expansion—suggesting the company is transitioning from pure software iteration toward supply-chain and SKU management complexity that comes with hardware manufacturing at scale.
Skylight manufactures connected home devices—the Skylight Frame and Skylight Calendar—that display family photos, event schedules, and task management without requiring constant phone interaction. The products are marketed toward families who want a non-screen presence in the home but need to sync information across geographically distributed members. The company operates with 51–200 employees based in West Hollywood, California. Active development spans device firmware (Android), cloud backend services (Rails, AWS Lambda), and consumer-facing web and mobile clients (React, TypeScript). Current operational focus includes demand forecasting, inventory planning across multiple channels, and building out an accessory product line to complement the core frame and calendar hardware.
Backend: Ruby on Rails + JavaScript/TypeScript. Frontend: React for web, native Android with Kotlin and Jetpack Compose for device firmware. Infrastructure: AWS Lambda, AWS services. Device layer: Android SDK, Hilt, Room, Retrofit, Dagger, Linux, UART, JTAG.
Forecast engine development, inventory optimization, new SKU setup, subscription tier features, performance optimization, analytics dashboards, and an accessory roadmap. Current pain points include demand forecasting accuracy, inventory flow, and engineering team scaling.
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