Nick founded Drafted (YC P26) to tackle residential architecture's biggest bottlenecks. Traditional custom home design costs $10,000–$50,000 and takes months, leaving most homeowners unable to visualize outcomes before major decisions. Drafted trains AI models that understand the built environment to make architectural design accessible to non-professionals.

Users input basic parameters like square footage, lot boundaries, and room preferences. The system generates complete floor plans and exterior elevations in seconds, supporting 2D and 3D exploration. Recent updates let users draw custom footprint shapes and automatically fill them with interior layouts. Designs can be furnished, material options tested, and exported as CAD or PDF files for construction workflows.

Over 120,000 people have used the platform in the past month, producing 325,000+ home designs. This represents significant early traction for an AI architecture tool targeting both consumers and professionals. The approach could democratize residential design by removing expensive barriers.

Drafted joins a growing field of AI design tools, but focuses specifically on the complex constraints of residential construction. Early adoption suggests strong demand for faster, more accessible architectural workflows in an industry historically slow to adopt technology.