GTR.Trade: Designing a Next-Gen Multi-Market Trading Platform

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As one of the founding & sole designer at GTR.Trade, I was responsible for designing and building the complete end-to-end trading experience for a next-generation on-chain platform. GTR.Trade enables users to trade crypto, perpetuals, and stocks seamlessly across networks. The challenge was to create scalable design components, intuitive trading flows, and a polished interface that could compete with established exchanges while supporting rapid iteration.

Being part of the founding team also meant the focus wasn’t on endlessly polishing Figma files. What mattered most was bringing the product to market quickly, learning from real traders, and iterating fast. My design approach was practical, execution-driven, and always tied to business outcomes.

Building the Trading Experience

I collaborated directly with the CEO and engineers to define the product vision and translate trader needs into clear, actionable journeys. Alongside this, I used AI-assisted workflows to quickly test variations, refine flows, and polish visual details, which accelerated iteration cycles. My work included:

• Market Research & Competitive Analysis identifying usability gaps and performance shortcomings in leading exchanges, supported by AI tools to benchmark patterns and compare flows

• Core Modules designing flows for meme trading, perpetuals, token transfers, wallet trackers, and event/news feeds, with AI helping to refine micro-interactions and copy across modules

• Design Systems defining and shipping a component library that ensured consistency, speed, and scalability across all future product expansions

• Interaction Models creating wireframes, prototypes, and interfaces that balanced simplicity for new traders with depth for professionals, refined through AI-based testing and design suggestions

The leadership team were traders themselves, which meant feedback loops were fast, practical, and grounded in real-world needs. AI added another layer by highlighting friction points and helping optimize clarity in data-heavy flows.

Desktop First, Mobile Next

We began with a desktop-first approach to support professional execution and high-performance trading. Later, I extended the same design system to a mobile app, introducing gesture-driven controls and glanceable states to make trading fast and intuitive on the go. AI was used throughout this process to simulate usage patterns, refine mobile ergonomics, and validate design choices across devices.

Outcome and Impact

The flagship platform shipped from zero to launch and quickly surpassed $35M in trading volume within the first few months. The modern interface, clear workflows, and powerful features were praised for making complex strategies feel approachable, while still offering the speed and precision pros expect. The component library I built continues to accelerate product velocity, enabling the company to expand into new markets without compromising quality or user trust.

Beyond Product Design

In addition to the trading platform, I partnered with the marketing team to shape communication design across campaigns, social media, and product announcements. Here too, AI supported iteration by generating quick visual variations and refining copy, which helped the team stay agile while keeping the brand voice consistent. This ensured that GTR.Trade’s brand identity was cohesive across product and marketing, reinforcing trust and professionalism.