Points System Engages Users Ahead of Token Event
On December 4th, LISA, a Web3 AI security project, launched the 'Road to Genesis' points program to prepare for their upcoming token generation event. The program enhances community engagement and anticipates ecosystem growth, backed by recent $12 million funding aimed at advancing AI-native security on major blockchain networks.
LISA's announcement of the "Road to Genesis" is part of a larger strategy to prepare for its token generation event. Users earn points by linking their X, Telegram, and Discord accounts, along with executing and sharing wallet health checks. The objective is to build engagement in anticipation of the TGE.
The program is fueled by the $12 million funding, which LISA secured from notable firms including Redpoint Ventures and UOB Venture Management, among others. This funding focuses on advancing LISA's AI-based on-chain security systems and expanding its ecological reach.
“Our investment in LISA aims to enhance their innovative AI-native on-chain security system, which is crucial for improving vulnerability detection in smart contracts.” — Tom Smith, Partner, Redpoint Ventures
Currently, the crypto market has not shown a direct impact from LISA’s announcement, although the supported chains like Ethereum and Solana could benefit from enhanced security infrastructure once the TGE occurs. There are presently no major reactions from prominent industry figures published on mainstream channels.
AI and Funding Boost Security Infrastructure for Web3
Point-based reward systems for token launches are a familiar strategy in Web3, exemplified by initiatives from ENS and Optimism, aimed at boosting early community engagement and ecosystem growth.
The Coincu research team suggests that LISA's integration of AI in blockchain security could influence governance token dynamics. If LISA's measures succeed, blockchain infrastructure could benefit, enhancing security and potentially stabilizing certain market sectors across supported chains like Ethereum and Solana.
