Casafy
Casafy
Brazil's property marketplace was serving buyers and sellers through the same generic experience, and failing both. We built two dedicated apps on a shared data spine and AI matching layer, and scaled the catalogue past 1.2 million listings.
2024
South America
A marketplace that treats buyers and sellers as the same user serves neither. Casafy needed two products, working seamlessly as one.
CHALLENGE
Casafy needed to serve two completely different intents from one platform: a private buyer searching for a home, and a seller battling a crowded catalogue to put the perfect property in front of the right buyer. The hard part wasn't adding features to either side, but building a tech layer smart enough to personalize discovery for buyers while giving sellers meaningful visibility.
SITUATION
Brazil's online property market is dominated by large listing aggregators: buyers filter through near-identical inventory across portals with little personalization, while agents and sellers struggle to surface the right listing to the right person. A buyer's needs (location, budget, life stage, future plans) and a seller's needs (visibility, fast, qualified contact) are fundamentally different products, yet most platforms force them into a single generic app. Casafy's opportunity was to enter the market as a technology-led marketplace, with modern personalization and quality-of-life features baked into the build from the outset.
$0B
$0B
Brazilian online classifieds and proptech market
$0B
$0B
Brazilian online classifieds and proptech market
0M
0M
properties listed on ZAP, Brazil's major real estate portal
0M
0M
properties listed on ZAP, Brazil's major real estate portal
0M
0M
mobile connections active in Brazil
0M
0M
mobile connections active in Brazil
SCALING ARCHITECTURE
The core decision was to separate the two experiences at the surface while unifying them at the core. Casafy ships as two dedicated mobile apps — one for home seekers, one for sellers — built on a single Flutter codebase and data spine. iOS and Android stay synchronized; both dedicated apps share components, releases, and data contracts without duplicated effort. One member-and-inventory model, one single matching surface for a seller's listing and a buyer's intent. Beneath both apps sits a shared data layer: a recommendation engine that curates property feeds from each user's stated preferences, search, and interaction behavior. The engine draws from and feeds back into a search system built on granular property filters (size, value, amenities). It surfaces relevant properties on an interactive map, and allows users to set parameters in order to be notified when relevant properties become available. On top of that spine sit the transactional pieces (in-app messaging, favorites, and easy visit scheduling) that move a match toward a meeting, all reading from the same data so nothing is re-keyed between the two sides.
KEY INSIGHT
Most property platforms start with listings and add intelligence later. Starting with the data model — and building the apps on top of it — is what lets personalization, search, and matching work from the first listing rather than being bolted on after scale.
SELECTED CAPABILITIES
Dual Mobile Apps (Flutter)
Dedicated buyer and seller apps on one shared codebase — unified iOS + Android releases without duplicated builds.
AI Recommendation Engine
Curates properties from each user's preferences, habits, and future plans rather than generic popularity.
Advanced Search
Structured filters for size, value, and amenities, paired with interactive map-based exploration.
Shared Data Spine
One member-and-inventory model both apps read from, so buyer intent and seller listings meet on a single surface.
Seamless Communication
In-app messaging, favorite tracking, and visit scheduling to move buyers and sellers from match to meeting.
User-Centred Design
An interface tuned separately for the buyer's discovery flow and the seller's listing flow, sharing one design system.
OUTCOME
Casafy scaled past 1.2 million live listings and entered the market as a technology-led marketplace, not a listings board.
Designing the data layer before the apps lets recommendations, search, and matching draw on a single model from day one — so scaling the catalog to national volume didn't fragment the experience across two opposing user types. The shared buyer/seller architecture means new capabilities — map search, personalized topics, scheduling — extend across both apps from one codebase rather than being rebuilt twice. Casafy entered the market positioned as a technology-led marketplace rather than an aggregator, in a sector projected to grow from $1.1B to over $2.5B by 2034.
1.2M+
real estate listings live on the platform
2 apps · 1 codebase
buyer and seller apps on one Flutter codebase across iOS and Android
12.5% CAGR
projected growth rate of Brazil's proptech market through 2034
OTHER PROJECTS
Casafy
Brazil's property marketplace was serving buyers and sellers through the same generic experience, and failing both. We built two dedicated apps on a shared data spine and AI matching layer, and scaled the catalogue past 1.2 million listings.
2024
South America
A marketplace that treats buyers and sellers as the same user serves neither. Casafy needed two products, working seamlessly as one.
CHALLENGE
Casafy needed to serve two completely different intents from one platform: a private buyer searching for a home, and a seller battling a crowded catalogue to put the perfect property in front of the right buyer. The hard part wasn't adding features to either side, but building a tech layer smart enough to personalize discovery for buyers while giving sellers meaningful visibility.
SITUATION
Brazil's online property market is dominated by large listing aggregators: buyers filter through near-identical inventory across portals with little personalization, while agents and sellers struggle to surface the right listing to the right person. A buyer's needs (location, budget, life stage, future plans) and a seller's needs (visibility, fast, qualified contact) are fundamentally different products, yet most platforms force them into a single generic app. Casafy's opportunity was to enter the market as a technology-led marketplace, with modern personalization and quality-of-life features baked into the build from the outset.
$0B
$0B
Brazilian online classifieds and proptech market
0M
0M
properties listed on ZAP, Brazil's major real estate portal
0M
0M
mobile connections active in Brazil
SCALING ARCHITECTURE
The core decision was to separate the two experiences at the surface while unifying them at the core. Casafy ships as two dedicated mobile apps — one for home seekers, one for sellers — built on a single Flutter codebase and data spine. iOS and Android stay synchronized; both dedicated apps share components, releases, and data contracts without duplicated effort. One member-and-inventory model, one single matching surface for a seller's listing and a buyer's intent. Beneath both apps sits a shared data layer: a recommendation engine that curates property feeds from each user's stated preferences, search, and interaction behavior. The engine draws from and feeds back into a search system built on granular property filters (size, value, amenities). It surfaces relevant properties on an interactive map, and allows users to set parameters in order to be notified when relevant properties become available. On top of that spine sit the transactional pieces (in-app messaging, favorites, and easy visit scheduling) that move a match toward a meeting, all reading from the same data so nothing is re-keyed between the two sides.
KEY INSIGHT
Most property platforms start with listings and add intelligence later. Starting with the data model — and building the apps on top of it — is what lets personalization, search, and matching work from the first listing rather than being bolted on after scale.
SELECTED CAPABILITIES
Dual Mobile Apps (Flutter)
Dedicated buyer and seller apps on one shared codebase — unified iOS + Android releases without duplicated builds.
AI Recommendation Engine
Curates properties from each user's preferences, habits, and future plans rather than generic popularity.
Advanced Search
Structured filters for size, value, and amenities, paired with interactive map-based exploration.
Shared Data Spine
One member-and-inventory model both apps read from, so buyer intent and seller listings meet on a single surface.
Seamless Communication
In-app messaging, favorite tracking, and visit scheduling to move buyers and sellers from match to meeting.
User-Centred Design
An interface tuned separately for the buyer's discovery flow and the seller's listing flow, sharing one design system.
OUTCOME
Casafy scaled past 1.2 million live listings and entered the market as a technology-led marketplace, not a listings board.
Designing the data layer before the apps lets recommendations, search, and matching draw on a single model from day one — so scaling the catalog to national volume didn't fragment the experience across two opposing user types. The shared buyer/seller architecture means new capabilities — map search, personalized topics, scheduling — extend across both apps from one codebase rather than being rebuilt twice. Casafy entered the market positioned as a technology-led marketplace rather than an aggregator, in a sector projected to grow from $1.1B to over $2.5B by 2034.
1.2M+
real estate listings live on the platform
2 apps · 1 codebase
buyer and seller apps on one Flutter codebase across iOS and Android
12.5% CAGR
projected growth rate of Brazil's proptech market through 2034
Casafy
Brazil's property marketplace was serving buyers and sellers through the same generic experience, and failing both. We built two dedicated apps on a shared data spine and AI matching layer, and scaled the catalogue past 1.2 million listings.
2024
South America
A marketplace that treats buyers and sellers as the same user serves neither. Casafy needed two products, working seamlessly as one.
CHALLENGE
Casafy needed to serve two completely different intents from one platform: a private buyer searching for a home, and a seller battling a crowded catalogue to put the perfect property in front of the right buyer. The hard part wasn't adding features to either side, but building a tech layer smart enough to personalize discovery for buyers while giving sellers meaningful visibility.
SITUATION
Brazil's online property market is dominated by large listing aggregators: buyers filter through near-identical inventory across portals with little personalization, while agents and sellers struggle to surface the right listing to the right person. A buyer's needs (location, budget, life stage, future plans) and a seller's needs (visibility, fast, qualified contact) are fundamentally different products, yet most platforms force them into a single generic app. Casafy's opportunity was to enter the market as a technology-led marketplace, with modern personalization and quality-of-life features baked into the build from the outset.
$0B
$0B
Brazilian online classifieds and proptech market
0M
0M
properties listed on ZAP, Brazil's major real estate portal
0M
0M
mobile connections active in Brazil
SCALING ARCHITECTURE
The core decision was to separate the two experiences at the surface while unifying them at the core. Casafy ships as two dedicated mobile apps — one for home seekers, one for sellers — built on a single Flutter codebase and data spine. iOS and Android stay synchronized; both dedicated apps share components, releases, and data contracts without duplicated effort. One member-and-inventory model, one single matching surface for a seller's listing and a buyer's intent. Beneath both apps sits a shared data layer: a recommendation engine that curates property feeds from each user's stated preferences, search, and interaction behavior. The engine draws from and feeds back into a search system built on granular property filters (size, value, amenities). It surfaces relevant properties on an interactive map, and allows users to set parameters in order to be notified when relevant properties become available. On top of that spine sit the transactional pieces (in-app messaging, favorites, and easy visit scheduling) that move a match toward a meeting, all reading from the same data so nothing is re-keyed between the two sides.
KEY INSIGHT
Most property platforms start with listings and add intelligence later. Starting with the data model — and building the apps on top of it — is what lets personalization, search, and matching work from the first listing rather than being bolted on after scale.
SELECTED CAPABILITIES
Dual Mobile Apps (Flutter)
Dedicated buyer and seller apps on one shared codebase — unified iOS + Android releases without duplicated builds.
AI Recommendation Engine
Curates properties from each user's preferences, habits, and future plans rather than generic popularity.
Advanced Search
Structured filters for size, value, and amenities, paired with interactive map-based exploration.
Shared Data Spine
One member-and-inventory model both apps read from, so buyer intent and seller listings meet on a single surface.
Seamless Communication
In-app messaging, favorite tracking, and visit scheduling to move buyers and sellers from match to meeting.
User-Centred Design
An interface tuned separately for the buyer's discovery flow and the seller's listing flow, sharing one design system.
OUTCOME
Casafy scaled past 1.2 million live listings and entered the market as a technology-led marketplace, not a listings board.
Designing the data layer before the apps lets recommendations, search, and matching draw on a single model from day one — so scaling the catalog to national volume didn't fragment the experience across two opposing user types. The shared buyer/seller architecture means new capabilities — map search, personalized topics, scheduling — extend across both apps from one codebase rather than being rebuilt twice. Casafy entered the market positioned as a technology-led marketplace rather than an aggregator, in a sector projected to grow from $1.1B to over $2.5B by 2034.
1.2M+
real estate listings live on the platform
2 apps · 1 codebase
buyer and seller apps on one Flutter codebase across iOS and Android
12.5% CAGR
projected growth rate of Brazil's proptech market through 2034