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Collectibles Portfolio Tracker

Collectibles marketplace and investment portfolio tracker

Client
Collectibles Investment Platform
Industry
E-commerce
Platform
Mobile
Collectibles tracker app screens

About project

How we gave serious collectors an investment grade tracking tool on mobile, with live prices from multiple marketplaces and zero critical bugs at launch.

An e-commerce platform and portfolio management tool for high value collectibles. Users track market value, analyse historical price graphs and manage their investment portfolio across major marketplaces, all in one Flutter app.

A TDD first approach and a serverless AWS and GraphQL backend deliver the data precision serious collectors and investors expect.

App Store

Challenges & Solutions

Challenges

Serious collectors were managing six figure portfolios with spreadsheets and browser tabs across several marketplace sites. No mobile tool aggregated live prices, tracked cost basis and showed historical trends for high value collectibles.

Solutions

We built a Flutter platform that pulls live data from multiple collectibles marketplaces into one portfolio dashboard: real-time valuations, interactive price charts and unrealised gain or loss.

A serverless AWS and GraphQL backend normalises multi-source data at scale, and test driven development guarantees the integrity of every portfolio calculation.

Main functionality

From Spreadsheets to Real-Time Portfolio Intelligence

Real-time market value tracking
Live price feeds from several collectibles marketplaces.
Historical price graphs
Interactive charts for data driven buying decisions.
Portfolio dashboard
Valuations, cost basis and unrealised gains in one view.
Multi-marketplace integration
Data from major platforms merged into one model.
Preset filters and search
Fast research across a large collectibles database.

Results

0
critical bugs in financial logic at launch
<1s
query times at scale
  • Zero critical bugs in portfolio calculation logic at launch
  • Sub-second response times across large datasets
  • Rapid adoption driven by data depth previously unavailable on mobile

Technical implementation

  • Test driven development for all financial calculations
  • Serverless AWS with a GraphQL API for multi-source data
  • Sub-second queries across large historical datasets

Industries

Services

Solutions

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