A City Guide That Rebuilds Itself Around Where You Land
Pick a city and the whole app changes: the map, the categories, what it recommends for tonight. We took a travel startup from a clickable prototype to both app stores in eight weeks.
One App That Feels Different in Every City
Most travel apps are the same list of pins whichever city you open. The founders wanted the opposite: choose a city and the app becomes that city’s app, with its neighbourhoods, its transport, what's open on a Sunday, and the places locals would send a friend.
That meant an interface driven by city data instead of hard-coded screens, and accommodation, attractions and restaurants pulled from several providers into one consistent model. Two founders, a validated idea, a design in Figma, and no engineering team yet.
A Map-First App Driven by City Data
A native iOS and Android app where every screen is configured by the selected city, a places layer that merges and ranks data from multiple sources, and a trip planner that puts it all on one map.
Eight Weeks, One City at a Time
Eight weeks for two native apps isn't a heroic schedule. It's what AI-native engineering looks like in practice: the provider connectors, the data model and most of the test suite were generated with AI tooling and reviewed by senior engineers, so the team spent its time on the parts that needed judgment.
One city, on paper
A clickable prototype for a single city, put in front of travelers before we wrote a line of production code.
Data before screens
The city content model and the ingestion pipeline for three providers came first. The first build was a map with real places on it and nothing else.
The second city
Adding a second city with zero changes to the app was the acceptance test for the architecture. It took an afternoon of content work, not a sprint.
Store launch
Released on iOS and Android with analytics, crash reporting and a release pipeline, then handed over to the first in-house engineer we helped them hire.
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