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Card Combination Comparator

A personal web app that compares credit-card combinations by estimated net annual value for your spending. Set your annual spend by category, choose how you book and redeem, build a wallet by selecting cards, and see each combination ranked — with a per-category "what to swipe" breakdown.

Live: https://cards-drab-omega.vercel.app

General information, not personalized financial advice. Earn rates, credits, fees, and transfer values change frequently — verify on each issuer's site before relying on any number.

How it works

For a selected set of cards and your settings, it:

  • routes each spend category to the card with the highest value-per-dollar (earn × point value),
  • sums rewards, adds the credits you'll realistically use (scaled by a "credit diligence" slider), subtracts annual fees,
  • and reports net = rewards + credits − fees, plus effective rewards rate and lounge access.

Toggles let you switch between direct vs. card-portal booking and transfer vs. cash/simple redemption. You can also save named scenarios to your browser (localStorage).

Data

cards.json is the single source of truth — all card data (fees, earn rates, credits, currencies, point values, presets, the default profile) lives there and is typed by src/lib/types.ts. Updating rates is a one-file edit; nothing is hardcoded in components.

Tech

Next.js (App Router) + TypeScript + Tailwind CSS, fully client-side and statically prerendered. The calculation logic in src/lib/calc.ts is pure and unit-tested.

Develop

npm install
npm run dev      # http://localhost:3000
npm test         # unit tests for the calc module (Node built-in test runner)
npm run build    # production build

Deploy

Deployed to Vercel via the CLI:

vercel deploy --prod --yes

About

A personal web app that compares credit-card combinations by estimated net annual value for your spending. Set your annual spend by category, choose how you book and redeem, build a wallet by selecting cards, and see each combination ranked with a per-category "what to swipe" breakdown.

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