I am a tech enthusiast obsessed with the underlying cryptography of blockchain. Over the years, I have seen too many privacy public chain projects, and the same problem is everywhere—technically flashy designs, but when it comes to implementation, they become a joke.

In the past 16 months, I have reviewed nearly 30 whitepapers on privacy public chains and personally tested the core technical modules of 15 projects. The results? Either the encryption algorithms are beautifully designed but have performance metrics that are virtually useless; or the features are piled high, yet the code hides obvious security vulnerabilities; or the documentation is a mess, making it impossible for developers to understand how to use it. Frankly, this is the common flaw in the privacy public chain industry—looks advanced but feels uncomfortable to use.

Until early this year, when I was researching efficiency optimization for zero-knowledge proofs, I started to delve into Dusk Network. From manually compiling the Zerocaf zero-knowledge library, to testing the encryption performance parameters of the Sonny curve, and then fully simulating the entire Plumo cross-chain scaling process, I spent over two months on this. This process made me realize that the true value of DUSK isn’t just how cool the individual technologies are, but how they are used.

DUSK integrates its self-developed Zerocaf, Sonny curve, and Plumo technology with mature solutions like the PLONK proof system and DAS data availability mechanism, forming a systematic solution—privacy strength remains high, performance is uncompromised, and cross-chain scaling does not shrink. The clever design ideas hidden in the code details precisely address the core pain point of the "good-looking but hard to use" privacy public chains.

Previously, I was not very optimistic about the actual efficiency of zero-knowledge proofs. When testing a well-known privacy public chain earlier, a single routine privacy transfer required a large amount of elliptic curve computations, consuming a lot of time. Such performance cannot support large-scale real-world transaction scenarios. DUSK performs completely differently in this regard.