Enterprise Ecosystem

Fakdoo Case Study

Architecting a high-performance, multi-category classifieds marketplace engine. Structured dynamic attribute schemas and real-time synchronization pipelines designed to scale effortlessly.

Client
Fakdoo Inc.
Services
Ecosystem
Stack
Next.js, PG
Status
Active
Launch Live Platform
Fakdoo Case Study Visual

Unified Engineering

Building cohesive architectural models that handle varying data formats under a single codebase.

Typical classified marketplaces solve the challenge of varying category schemas by building disjointed tables or rigid layouts. Real estate listings require variables like plot area and bedrooms, whereas automotive listings require odometer readouts and engine types. GCAN resolved this by designing a dynamic attribute model built around PostgreSQL JSONB columns and Next.js dynamic client form maps.

By coupling highly indexable schema-less JSON storage with strict server-side validation, we created a lightning-fast data pipeline that permits infinite category vertical scaling without requiring database migrations.

JSONB Catalogs

Indexes custom attribute sets dynamically directly inside PostgreSQL core storage.

Vercel Edge

Executes dynamic routing and middleware optimizations with minimal request latency.

Schema Visualizer

Toggle through the core marketplace verticals below to observe how the client-side forms and PostgreSQL schemas transform dynamically.

Attributes Engine
Dynamic Form Input
{ "id": "lst_820381", "category": "real-estate", "attributes": { "property_type": "apartment", "bedrooms": 3, "bathrooms": 2 } }

Performance Pipeline

Run the simulation to inspect search request processing and see the latency delta between standard database disk queries and cache layers.

Latency Diagnostics
Edge Network Entry
Request received at geographic Edge node.
Redis Cache Validation
Checking hot records in memory buffer.
Database Fallback Query
Executing full-text filter on primary records.
Redis Cache Hit 0ms
DB Disk Query 0ms

Native Companion App

GCAN designed the Fakdoo mobile client to run natively on iOS and Android. Built around an offline-first architecture, the application buffers database listings internally to maintain responsiveness under unstable mobile networks.

01

WebSocket Communication

Instant vendor-to-buyer communications operating on low-latency messaging frames.

02

Native Compression Pipeline

Images are automatically processed, resized, and transcoded into WebP directly on-device before uploading.

Fakdoo Mobile
Hot Item
Contemporary Living Apartment
$2,450 / mo
Tesla
Model 3 Performance Edition
$38,900