Finding your space in seconds, not hours

The problem with 'just list everything'

Early on, we thought more information was better information. Every space showed up in every search. Renters scrolled through dozens of listings that didn't match what they needed. A choreographer looking for a sprung floor would see a concrete warehouse studio. A freelancer wanting a quiet meeting room would find a photography venue with no natural light. The friction was real, and the booking requests reflected it.

We started tracking what renters actually asked about in their booking messages. The pattern was clear. People weren't being vague; they were being specific. They wanted a space with certain features, within a price range, available on exact dates, in a neighbourhood they could actually reach. The filters weren't optional extras. They were the difference between finding a space and giving up.

What advanced filters actually do

Advanced filters live behind the Plus tier. They let you slice the results down to what matters. Space type comes first. Photography venue, studio, meeting room, hall, event space. Pick one or several. Then you can filter by hourly rate, square footage, amenities (kitchen, parking, wheelchair access), natural light, sprung floor, cyclorama, wifi, whether the host allows external bookings or overnight stays. Dates narrow down availability. Location can be by postcode, radius, or London borough.

The real shift happens when you stack filters together. A sound engineer looking for a basement studio in Hackney under £50 an hour with no windows (by choice) and parking space. A corporate event planner needing a hall in a specific postcode that fits 200 people and has wheelchair access. A ballet school scouting for a room with sprung floors available every Thursday evening in Streatham. Each of these renters now sees only spaces that fit. No scrolling through irrelevant listings. No wasting a booking request on something that was never going to work.

Why we didn't ship this for free

This question comes up in our Slack sometimes. Why not unlock advanced filters for everyone? The honest answer is that Plus tier renters rely on these filters consistently. They book more. They book faster. They're serious. The logic held during beta and holds now. Free renters get three booking requests a month and a straightforward search. That's enough to test the platform. If you're booking regularly, Plus tier (with advanced filters and natural language search) is where the time savings kick in.

We also learned that hosts benefit when renters find them more deliberately. A renter using filters to find a space with exact features is more likely to book. Fewer low-intent requests. Fewer cancellations. The quality of the match goes up on both sides.

The difference between browsing and searching

There's a moment in most bookings when the renter stops browsing and starts searching. Maybe they've got a shoot date locked in. Maybe they need to pitch a venue to a client. Maybe they're tired of scrolling. That moment is when advanced filters earn their place. You're no longer in discovery mode. You know what you need.

This is also where the Plus tier's natural language search complements the filters. You can type 'bright studio with parking, south London, evenings available' and get results. Or you can use the filters systematically. Most Plus renters mix both depending on what they're after. The filters are the precision tool when you know your exact constraints.

Real limits and what we're watching

Advanced filters aren't magic. They only work as well as the data hosts provide. A host who lists a space as '40 sqm' but doesn't specify amenities limits what renters can filter for. We're working with hosts to fill out their listings completely. Better metadata means better filtering. It's an ongoing conversation.

We also watch for filter combinations that return zero results. When they happen, the interface invites renters to broaden one constraint slightly. Expand the postcode radius by a mile. Bump up the hourly rate by £5. Small nudges that often reveal options they didn't know existed.

The other thing we're tracking is whether filters actually change behaviour over time. Do Plus renters book more often than free users? Do their bookings stick, or do they cancel more? Early data says they're stickier. But we're three months into this, not three years. Long-term patterns matter more than launch week enthusiasm.