Gaussian splatting for real estate promotion
Gaussian splatting tours offer better fidelity than Matterport, but platform is early.

Visual search for Swiss apartments when Zillow and Immobilienscout already do this.
Swiss apartment hunters, real estate seekers
Zillow · Immobilienscout24 · Rightmove
With FlatHawk I wanted to try to improve this search experience. The user can still set the usual parameters (e.g. price, area) _but_ the user can also say in plain language what they are looking for (e.g. an open floor plan, or a view of a lake). In the background, similarity search is performed on a set of more than 150k photos of actual apartments and houses that are currently available for rent or sale. The user gets a list of relevant listings and the original thumbnail of each listing is replaced with the picture that best matches what the user asked for.
I should add this currently only contains Swiss real estate as that is where I am based.
On the technical side, I decided to keep it simple. It is a React Router application that queries a Postgres DB (with pgvector extension for the search). I use Gemini Embedding 2 for the cross-modality embeddings.
Gaussian splatting tours offer better fidelity than Matterport, but platform is early.
Pretty real estate editing suite, but Zillow, Redfin, and Matterport already own this.
BRRRR-specific calculator when DealCheck only does basic rental math.
Tokenized real estate in India, but regulatory moat unclear and execution unproven.
15-18pp fact recall boost over flat summarization with full provenance tracing.
Normalizes 150M parcels from 3,000 counties when Reonomy already does this.