Back to projects

PokeCardIndex

Full-stack TCG platform for browsing, pricing, and collection tracking at scale.

React 18 TypeScript Supabase Vite 5 Tailwind CSS Zustand Framer Motion Recharts
Tens of thousands Cards in the database
Hundreds Sets & releases
Real-time Market pricing signals
Global Multi-currency & localization

One product, end to end

Built a comprehensive web application for trading card collectors, combining a large-scale card database, real-time market data, and personal collection management into a single, unified experience.

Grid of classic Pokémon Trading Card Game cards on a black background—illustrating the catalog and indexing focus of the platform.

Collectors were juggling too many tools

Collectors lacked a single platform that combined complete card data, real-time pricing, and collection tracking.

Existing tools were fragmented—users had to rely on multiple platforms for pricing, set information, and managing their collections.

Everything in one cohesive interface

Developed a full-stack application that brings together card data, pricing insights, and user tools into one cohesive interface.

Key capabilities include:

Comprehensive card database

Tens of thousands of cards across hundreds of sets, with detailed metadata and regular updates.

Market pricing insights

Real-time and historical pricing across multiple conditions and grading levels.

Collection management

Tools for tracking inventory at a granular level, including variations and quantities.

Global support

Multi-currency pricing with localization based on user preferences.

Community signals

Lightweight sentiment and engagement features to surface popular items.

Exploration layer

Interactive visualization for navigating large datasets in a more intuitive way.

Search & discovery

Structured search and filtering for fast access to specific items.

User accounts

Authentication and persistent profiles for saving collections and preferences.

Designed for performance and scalability

Built with a modern web stack oriented around maintainability and scale:

01 Component-based frontend with typed architecture
02 Real-time-enabled backend with relational database
03 API-driven data ingestion and aggregation
04 Optimized rendering, caching, and data-fetching strategies
05 Scalable hosting and deployment infrastructure

What made it work in production

Efficient caching and revalidation strategies to minimize redundant data requests.

Backend proxying and orchestration for reliable external data access.

Real-time features enabling shared, interactive experiences.

SEO and indexing infrastructure supporting tens of thousands of dynamic pages.

Continuous schema evolution to support new product features.

Media optimization pipeline for large-scale asset delivery.

One place instead of many

A unified platform that combines large-scale data, real-time pricing, and user tooling into a seamless experience for collectors—replacing the need for multiple fragmented tools.

Have a similar challenge?

Let's discuss how VervoLabs can build something like this for your business.

Start a project