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RvK – Pokémon Card Quoting App

A smarter way to sell your cards locally — without calculators, spreadsheets, or currency confusion.

React Native
Expo
TypeScript
React Navigation

🎯 The Vision

Most apps built for collectors assume you're in the U.S., pricing in dollars, and listing one card at a time. But in Latin America, it's different — and much more manual.

In Peru, everyday collectors often resell cards locally, but to do so they must:

  • Check USD prices on sites like TCGPlayer
  • Manually convert prices to local currency (e.g., PEN)
  • Adjust prices using urgency-based multipliers (e.g., x3.5, x3, x2.5)
  • Repeat this for every card — with no help from any existing tools

There's no app made for this process. RvK changes that.

⚙️ What RvK Does

Designed for collectors who resell cards in Latin America, RvK simplifies the quoting process by combining price lookup, currency conversion, and local multiplier logic — all in a single mobile experience.

You can quote 1 to 9 cards at a time, using real USD prices and your preferred conversion rate (e.g., x3.2).

(Future: AI-powered camera recognition will make this even faster — scan, detect, and quote in seconds.)

🧰 What I Built

🔍 Fast Card Search

Type a name, get the TCGPlayer market price, and move on — no need to copy-paste across tabs.

🧮 Smart Quoting

Choose your own multiplier (x3.5, x2.8, etc.) and instantly convert the price to your local currency.

💸 1–9 Card Batch Quoting

You can price multiple cards in one go — no need to do it manually, card by card.

💱 Currency-Aware Logic

Built-in conversion handles USD → PEN (or any other LATAM currency). You just pick the rate — the app does the math.

📱 Mobile-First UX

Stack navigation. No login screens. No distractions. Just search, quote, and go.

📚 The Stack

RvK App Stack/
├── React Native (Expo)
├── TypeScript
├── React Navigation
└── Expo Go for fast mobile testing

✅ Outcome

  • • Working prototype used by collectors in Peru
  • • USD-to-PEN quoting flow fully functional
  • • Quoting flow for 1 to 9 cards significantly reduces time spent
  • • Foundation ready for future AI-powered recognition

💡 What I Learned

This wasn't about building a Pokémon app — it was about solving a localized market problem that global platforms overlook.

I learned to:

  • Design for real collector workflows
  • Replace manual friction with fast, contextual logic
  • Build for people who use cards as income — not just as collectibles