An analytical mobile app for crypto investors — from first-timers to experienced traders. The product combines AI-driven research across 20+ platforms, a daily curated token watchlist, and an AI assistant that turns complex market data into clear, actionable guidance.

As Lead Product Designer, I built a trust architecture into every layer of the experience — transparent data sourcing, clear reasoning behind every asset recommendation, and an AI assistant that responded to exactly what each user needed in the moment. Rather than overwhelming users with information, the product guided them toward confident decisions.

Trust remained the hardest problem to fully solve. In a high-stakes industry like meme coin investing, design alone isn't enough — credibility has to be earned through partnerships, track record, and education over time. The onboarding trust signals helped, but building a truly trusted crypto product is a long game.

We developed a bold, high-energy visual system that reflects the fast-moving nature of meme coin discovery. The interface is built around deep dark tones and vibrant gradients, creating a sense of focus, intensity, and opportunity—while allowing key insights and signals to stand out instantly. Bright accent colors are used to highlight important actions and data points, such as selected preferences, trending coins, and early alerts, guiding users toward quick decisions without adding noise to the experience.

User segmentation from day one — onboarding split users by experience, token preference, portfolio size, and engagement level, letting the product speak to each group differently.

Data as a research brief — each token came with a clear context layer: why it made the list, who's holding it, launcher background, risk level, and estimated price window. A decision, not a spreadsheet.

Trust baked into onboarding — user reviews, real PnL examples, partner platforms, and a refund guarantee — all before users saw the product.

Two-way AI assistant — answered user questions and pushed proactive alerts when market conditions changed.