Search by commute, not by circle.
A radius search lies about cities. Isochrones computed on the real road network answer the question buyers actually ask: what can I reach in twenty minutes? Matrices score every listing against work and school, and static map images give each one a branded map at zero marginal cost.
From search to shortlist with honest travel times.
The buyer journey is a chain of location questions. Each one below maps to one shipped tool.
What can I reach in twenty minutes?
Drive, cycle and walk isochrones from any point on the real road network, intersected with your listings: commute-first search as a first-class query instead of a radius that pretends every direction is equal. This image is our own static map API rendering real 10 and 20 minute cycling isochrones from St Peter's Square, Manchester.
See isochrones live →
Score every listing against real life
One matrix call scores a whole results page against the buyer's anchors. These are real cycling times from one call: Ancoats, Chorlton and Didsbury against the city centre and the airport, computed by the engine, not crow-flies distances dressed up.
A branded map on every listing
Static map images render the location map for every listing page, email and PDF from your own deployment, styled to the portal's brand. The three thumbnails here are real renders from the static map API, each in a different hosted Studio style; self-hosted, portfolio-scale volume costs nothing per request.
What is actually nearby
Nearby-place search answers by category: schools, stations, pharmacies, supermarkets, nearest first with real distances. Honest context for a listing, from open data your users can check.
Listing data that stays yours
Your listings and your users' search patterns are the business. Self-hosted, neither transits a third-party map provider, and there is no per-load metering on your busiest search pages.
Property copilots with real answers
The hosted MCP server gives AI agents geocoding, isochrones, matrices and place search directly, so a property copilot can answer “find me a flat within 25 minutes of the office by bike” with engine-computed truth.
Known limit: commute times cover driving, cycling and walking on the road network. The platform does not compute public-transport journey times, so a rail-commute search is not something we will claim until it is real.
We will build commute-first search on your listings, fast.
Give us a sample of listings and three buyer anchors, and our AI agents will build a working commute-search proof of concept on MapMap: real isochrones, matrix scoring, branded listing maps. Fast enough to demo to your product team before the quarter plan closes.
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