For sure, those searches are more about showing what’s possible (and making browsing fun) than what a high-intent buyer would actually type in.
That said, from speaking to a lot of London buyers, people are often more flexible on location than you’d expect. The real criteria tend to look more like: “3-bed house under £700k, 30 min commute from [office], near a park, low crime, good schools” rather than “3-bed in Hackney.” Basically along the lines of the location / mapping data you're suggesting.
We’ve already built travel-time search and plan to layer in more of that other 'services' style data in the next few months.
Does that mean it excludes most of the results from "Floor to ceiling libraries without a ladder"?
You know, if I'm buying a house, I think I can supply my own ladder separately...
Less pedantically, what I'm trying to say is: are you really sure these are the kinds of searches that home buyers are really looking for? "Home in london, under £1m, with big beautiful windows" - I suspect that most London buyers are going to care an awful lot about where in London the house is, a city-wide search isn't going to be useful to most. Maybe your functionality (as presented) won't inspire actual buyers.
Speaking of which, that might be a way to improve it - combine with location & mapping data to figure out nearby transport, services, schools, etc...