I made this to address a particular pain-point I had while looking for a new place: on a traditional real-estate site, you select your price range and your area and you get a swarm of thumbnails of apartment listings. Unfortunately these are often very unflattering images that don t tell whether the apartment/house has what I m looking for. Clicking every thumbnail and sifting through each photo of every listing is tedious and time-intensive.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.