Launch HN: Drafted (YC P26) – Models for residential architecture
Hacker News PrimalNick ● Covered by 2 sources
Drafted, a Y Combinator-backed startup, launched AI models that generate residential floor plans and exterior elevations from design constraints like square footage and room preferences. The system processed 325,000 home designs from 120,000 users in its first month, completing designs in seconds that traditionally cost $10,000–$50,000 and take months. The tool aims to make custom home design accessible by automating architectural work that currently excludes most homebuilders from professional design involvement.
Why it matters
I’m Nick, founder of Drafted (https://www.drafted.ai). We’re training models that generate residential architecture from structured design constraints.Product demo: https://www.youtube.com/watch?v=8QkJ7jNU9y4Residential architecture is still one of the most expensive, slow, and inaccessible creative processes in the world. Designing a custom home typically costs $10,000–$50,000 or more, takes months, and requires making major decisions before most people can even visualize the outcome. As a result, the vast majority of homes are built without direct architectural involvement.Our goal is to teach computers how the built environment works so anyone can imagine, explore, and eventually create physical spaces tailored to them.Today, users can design homes using simple inputs such as: - Square footage targets - Footprint shapes - Lot boundaries - Room placement preferences - Spatial relationships and constraints.Our models generate complete floor plans and matching exterior elevations in se
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