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Justin Wang

@hwjustin

Founder of APEX, PhD at Imperial College London

Founder of APEX, PhD at Imperial College London

Skill iconJavaScript
Node.js
React
Skill iconTypeScript

London, United Kingdom

Devfolio stats

Devfolio stats

2

projects

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prize

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GitHub

GitHub

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Work Experience

Work Experience

Work Experience Logo
OKX

Software Engineer II

Work Experience Logo

Software Engineer II

OKX,

Top Projects

Top Projects

Project Image
APEX

The Ad Promotion Exchange Protocol.

Manus, Claude Code, OpenClaw — we have been consistently amazed by what AI applications can do just in the past two months. However, does capability really pay the bill? Even ChatGPT - one of the most well-known and comprehensive AI products - only convert 5% of its active users to paid subscription. The current subscription-based monetization channel is simply not sustainable and cannot scale. Under such economic crisis, advertisement will become an attractive monetization channel for future AI agents and applications. It is what powers our current digital economy and scales directly with user engagements. And AI agents might be the perfect medium for advertisement as they understand user context and deliver targeted recommendations better than any platform in the history. However, the infrastructure for AI-native advertisement does not exist yet. When thousands of agents and advertisers are participating in advertising business, we need a open infrastructure to support the decentralized coordination for each ad campaign, verify ad completion fairly and trustlessly, and process payment autonomously. That’s why we are building APEX - Ad Promotion Exchange Protocol. APEX employs a two-layer architecture to support the complete advertising workflow. The registry layer handles the coordination. Inspired by ERC-8004 that govern future agentic interaction, APEX extends this standard by not only storing the agent and advertiser identities, but also recording campaign information and ad jobs on-chain. This open protocol creates a permissionless platform where advertisers and agents can coordinate autonomously. The validator layer supports the execution. APEX currently deploys an on-chain action validator to verify the ad outcome in the form of smart contract deposits that web3 advertisers may prefer. In future, we are opening the validator network to the public, where independent operator can contribute by verifying all different types of off-chain and on-chain actions tailored to the business needs of various advertisers. For this BUIDLathon, we also built an autonomous AI agent that demonstrates the complete APEX vision. The agent fetches available campaigns from our on-chain registry, delivers context-aware recommendations to users, and earns protocol fees from each completed action. We include real-time financial tracking that shows API costs versus ad revenue - proving the agent can sustain itself autonomously. Without full reliance on user subscriptions, future AI can become freely accessible everywhere in the world - a universal tool for all of humanity, not a luxury for the few.

Project Image
Love Lock Ring

An NFT love lock ring that will help show your love commitment to your partner using Algorand, also records a series of celebratory and meaningful events between you two—representing 100% honesty.

We help solve two main problems. 1) dishonesty and cheating in a relationship (dating multiple people at the same time when in a supposedly exclusive relationship) 2) social pressure and environmental impact of getting a diamond ring. Using Algorand technology, events and commitments between the two will be timestamped, making it impossible to lie about their relationship status. We will also use Algorand technology and possibly smart contact to make sure one can only purchase the ring once in a given relationship (thinking tied the purchase to one's unique identifier). Of course, if the relationship did not work out. The NFT ring will turn black but one's past relationship records will still be stored on Algorand, making the person impossible to lie about their past.