Hokk Finance

Lawrence Hutson

Lawrence Hutson

CTO

Lawrence Hutson is a computer scientist and economist with a wealth of expertise in blockchain, cryptocurrencies, NFTs, DeFi, smart contracts, decentralized applications, token gating, tokenomics and the metaverse. Lawrence co-founded and served as CTO for Travelocity, the world’s first travel website (and largest Ecommerce site at the time) that was acquired by Expedia for $280m in 2015. He was a contractor to GTE (now Verizon), building the world’s first global Internet based on TCP/IP. Lawrence founded Nexgen Travel Distribution in Munich in 2005, leading the company through seed, Series A, and Series B funding rounds. In 2018 he began working exclusively with blockchain and decentralization in the Web 3.0 world, and has served as CTO, architect, consultant, advisor, investor and designer to numerous successful blockchain projects.

Lawrence was appointed CTO for: AdLunam, the industry’s first NFT-integrated Proof-of-Attention seed crowdfunding and IDO launchpad on Polygon; Aegis Studio, a blockchain development studio with a diverse range of projects in NFTs, tokenomics, metaverse platforms, dApps, decentralized gaming, and blockchain privacy solutions; Minterest, a DeFi cross-chain protocol on Polkadot, where he oversaw their 6.5 million USD funding round in Dubai, and their creation of the first decentralized liquidation system in DeFi money markets; Master Ventures, a blockchain venture capital company with over 50 companies in portfolio, including Coinbase, Kraken, Ripple, and Polkadex; and Crypto Exchange Alliance, a next-generation liquidity ecosystem with the aim of democratizing crypto exchanges everywhere.

In addition to all this, Lawrence designed the first AMM DEX for security tokens with multiple whitelists per token in liquidity pools; was Chairman and Advisor to CRM Adapt, the world’s first decentralized CRM; and was appointed Strategic Advisor to DigiShares, a real estate tokenization platform. Lawrence holds a BBA in Economics, a MS in Computer Science, and has a PhD tenure-track position in Computer Science with an emphasis in AI, ML, and cryptography.