All projects

Primary commercial product

TradeBroker

Collectibles intelligence, portfolio, trading, inventory, and marketplace infrastructure.

A connected product suite for collectors, stores, and market participants—built around real market data and the operational work that happens after a price lookup.

ProductionPrivate
TradeBroker Cards preview with stylized trading cards and a market chart

Public, sanitized project material.

01

The problem

Why it exists

Collectibles businesses and serious collectors rarely have one clean system of record. Catalogs, prices, binders, inventory, customer trades, and sales workflows tend to live in separate tools.

The hard part is not displaying a card. It is keeping identity, condition, ownership, valuation, and operational state coherent as an item moves through real workflows.

Limits
  • Public material intentionally omits proprietary pricing and matching logic.
  • No customer information, confidential data sources, or production topology is disclosed.
02

Architecture

Operating model

03

Capabilities

What it does

01Portfolio and collection tracking
02Card and binder scanning
03Trade matching and fair-value validation
04Store inventory and cycle counts
05Liquidity and valuation tools
06Marketplace and sharing workflows
04

Security

Trust model

  • Commercial data and proprietary logic stay behind explicit product boundaries.
  • Public portfolio material is intentionally architectural rather than operational.
  • User and store workflows are separated from administrative control surfaces.
05

Tradeoffs

Key decisions

A platform, not a feature pile

Portfolio, scanning, trading, and inventory share the same item identity and valuation model instead of becoming disconnected mini-products.

Operational truth over demo polish

The product is shaped by cycle counts, ambiguous scans, changing markets, and the messy edge cases of real collections.

06

Current state

Current state

Implemented
  • Multi-game catalog and collection surfaces
  • Market pricing and valuation workflows
  • Store inventory operations
  • Scanning and AI-assisted identification
In development / planned
  • Broader marketplace connectivity
  • More store-side operational automation
  • Deeper liquidity and portfolio intelligence
07

Lessons

What the work clarified

  1. A trustworthy product needs a coherent data model before it needs more screens.
  2. Market information becomes useful only when it is connected to a decision or workflow.
  3. Closed product logic and reusable infrastructure need deliberately different boundaries.