StageSnap

StageSnap is the flagship product from Harding Labs, my own product studio focused on building and shipping AI-native applications.

The core problem: traditional home staging costs $2,000–$5,000 per property and takes days to arrange. Virtual staging services exist but are slow, manual, and expensive. StageSnap uses generative AI to transform raw real estate photos into professionally staged listings in about 30 seconds.

I built the full stack from scratch: a Next.js frontend with real-time before/after previews, a Node.js backend orchestrating multiple AI models for room detection, themed virtual staging, and high-fidelity image generation, plus Stripe integration for usage-based billing.

The technical challenges were interesting: preserving architectural accuracy across three staging modes (declutter, empty room, and furnish across 16 design styles) while handling diverse room types and lighting. The pipeline runs room detection, mode-specific AI enhancement, and optional HD or 4K upscaling, with concurrent job processing and SSE streaming live progress to the client.

StageSnap is live with early users in the real estate space, with plans to scale to homeowners, agents, and brokerages.