The Web3 Myth of No-KYC: A Regretful Experiment in Payment Anonymity

The Problem We Were Actually Solving Our system, codenamed "Liberty," aimed to disrupt the traditional payment landscape by decoupling identity from payment processing. We envisioned a world where users could send and receive cryptocurrencies without revealing their real-world identities or locations. Liberty was designed to be a bridge between the convenience of traditional payment systems and the anonymity of decentralized finance (DeFi). We planned to offer Liberty as a payment gateway for various Web3 applications, from e-commerce platforms to decentralized marketplaces. What We Tried First (And Why It Failed) Initially, we thought the solution lay in leveraging Ethereum's own Web3 APIs to create a payment framework that could bypass traditional KYC requirements. We spent countless hours studying the Ethereum documentation, experimenting with various smart contracts, and debating the merits of different design patterns. However, our early experiments highlighted a fundamental problem: the Ethereum ecosystem, although innovative, was still subject to the constraints of the underlying blockchain architecture. Transaction latency, gas costs, and network congestion made it impractical for real-time payment processing. The Architecture Decision As we dug deeper, we realized that the only feasible solution lay in using a different runtime environment. One that offered better performance, lower memory footprints, and more flexible concurrency models. We turned our attention to Rust, a language that had gained popularity among systems engineers for its focus on performance, reliability, and memory safety. We rewrote Liberty from the ground up, using the async-std library for concurrent I/O operations and the tokio runtime for efficient task management. Our new implementation, dubbed "Liberty 2.0," promised to deliver sub-second payment processing and support for multiple cryptocurrencies. What The Numbers Said After After deploying Liberty 2.0 to production, we were thrilled to see the results. Our payment processing latency dropped from an average of 15 seconds to under 200 milliseconds, while concurrent requests reached an astonishing 10,000 per second. We also reduced our memory footprint by 70%, allowing us to serve more users with fewer instances. But what truly pleased us was the fact that Liberty 2.0 was able to handle transactions from users in restricted countries without any issues. What I Would Do Differently In retrospect, I would advise anyone embarking on a similar project to take a more nuanced approach to anonymity in payments. While our goal of preserving user autonomy was admirable, we underestimated the complexity of building a system that could scale while maintaining the required level of anonymity. I would recommend starting with a more incremental approach, exploring the trade-offs between performance, security, and anonymity. We might have achieved a better balance between these competing interests by leveraging more established payment processing infrastructure and adapting it to the needs of Web3 applications.