LeapCat

Client

LeapCat

Members

Pinyi, Ping

Platform

Mobile App

Project Year

2026

LeapCat

An AI investing app where you hire a team of AI agents to research the markets—you just confirm each decision.

UI/UX

Background

For most people the barrier to investing isn’t capital but time and emotion—you can’t watch the markets around the clock or stay rational through the swings. LeapCat turns a professional investment team into agents: hire a team of AI agents, each with its own specialty and some modeled on legendary investors, to research the markets and propose strategies while you simply confirm each decision.

Challenge

Getting people to delegate investment decisions to AI hinges on trust. The challenge was to make "a crowd of invisible AIs" tangible—clear about who each agent is, what it’s good at, and how accurate it’s been; to balance "fully automated" with "user in control"; and to fit research reports, meetings, portfolio, and wallet into a clean, calm interface.

Action

We framed the experience as running an investment team, with fresh light green as the primary color and a touch of purple for meetings. The home "Team Status" uses live status rings (analyzing, generating, in meeting) to make the AI’s work visible, while "Recommendation" surfaces each agent’s targets and approval ratings, handing the decision back to the user. Every agent has a full persona (reports, accuracy, tenure, memory bank); users can join meetings to take part in debates and tune their team, and hire experts via a "Talent" marketplace (an AI analyst at 1,200 USDT/month vs. a human at $120k), with wallet and KYC under "My."

Results

An AI investing app that makes "automated investing" tangible, trustworthy, and controllable—by giving the AI team a human face and putting research and decisions in the open, LeapCat lets users enjoy round-the-clock research while always holding the final call.

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