Built from a real question we kept asking ourselves
LocaMetric started as a personal tool — a way to answer a question that came up every time we searched for accommodation. It turned into something much bigger.
A question that kept coming back
"Every booking platform shows me the hotel. None of them show me what's around it."
It always happened the same way. We'd be planning a trip, searching through Booking.com or Airbnb — finding a handful of similar options at similar prices. Then came the part no platform helped with: figuring out which one was actually better located.
Which is closer to the city centre? Which one has a supermarket within walking distance? Is there decent public transport nearby, or will we need a taxi every time? Is it on a noisy road or a quiet side street? One by one, we'd open Google Maps for each option, manually checking the surroundings. It worked — but it was slow, inconsistent, and frankly exhausting.
Late 2025, Gábor decided to stop doing it manually and build a tool to do it properly. What started as a personal project — a script that scored locations based on proximity to key amenities — gradually became a full scoring engine covering 26 factors, tuned to how people actually think about distance and convenience.
When it became clear the tool was genuinely useful, we decided to make it public. Not as a startup with grand ambitions, but as a product built by people who needed it themselves — and figured others probably did too.
From idea to product
The idea takes shape
Frustrated by manually comparing accommodation locations on Google Maps, Gábor starts building a scoring algorithm for personal use. The initial focus: proximity to city centre, grocery stores, and public transport.
The engine is built
The scoring system expands to 26 factors, each with its own custom distance-decay logic. A grocery store and a restaurant have different tolerance distances — the algorithm reflects that. Airport proximity uses a completely different scale: beyond 200 km, it stops contributing to the accessibility score.
First public version launches
LocaMetric goes live with Single Point Analysis, Area Analysis, and Top Stays modes. First 9 European cities covered. Data sourced from OpenStreetMap, stored in a local database and refreshed quarterly.
New identity, ongoing expansion
Complete redesign of the interface. City coverage continues to grow. The scoring logic is continuously refined based on real usage and feedback. More European cities coming soon.
How the scoring works
Every factor uses a custom algorithm — because what counts as "close enough" is completely different depending on what you're looking for.
OpenStreetMap data
All location data comes from OpenStreetMap, stored in our own database and refreshed every quarter for accuracy.
Factor-specific logic
Each of the 26 factors has its own distance-decay curve. A supermarket at 300m scores differently than a restaurant at 300m — by design.
Customisable weights
You decide what matters most. Every factor can be weighted by importance, so your score reflects your actual priorities, not ours.
Real-world noise model
Noise scoring accounts for highways, railways, airports, and industrial zones — each with their own realistic impact radius.
Urban density awareness
The algorithm distinguishes between large supermarkets and small convenience stores, metro lines and infrequent bus routes.
Quarterly updates
The underlying dataset is refreshed four times a year so scores stay current as cities change and new amenities open.
Who built this
Gabor
FOUNDER & DEVELOPERLandscape architect and geospatial engineer. Designed and built LocaMetric from the ground up — from the scoring algorithms to the map interface.
Nora
MARKETING & STRATEGYCo-creator and the reason LocaMetric became a product rather than a personal script. Leads marketing, product positioning, and growth.
Growing team
We're a small team building something useful. If you're passionate about location data or urban analysis, we'd love to hear from you.
Try it for yourself
The best way to understand LocaMetric is to score a place you know. Enter your home address, your last hotel, or anywhere you're curious about.