### Shai Deshe’s Insights on BlockDAG Protocols: A Comparison Between Xelis and Kaspa

In a recent tweet, Shai Deshe Wyborski, a prominent figure in the cryptocurrency space and a PhD candidate in quantum cryptography, discussed the noteworthy distinctions between blockDAG protocols developed by Xelis and Kaspa. Deshe, who is also recognized as one of the core developers of Kaspa, emphasized that “Xelis built its own blockDAG protocol, unlike Kaspa, which just extends Nakamoto consensus.” This statement highlights a significant technical divergence in the architecture and underlying principles of these two projects.

BlockDAG, or Directed Acyclic Graph technology, is a consensus mechanism that enables multiple transactions to be processed simultaneously, as opposed to the traditional blockchain approach that processes transactions sequentially. The innovation behind blockDAG becomes apparent in enhancing scalability and reducing transaction times, which are critical factors in the cryptocurrency ecosystem.

Deshe’s remark indicates that while Xelis has developed a novel iteration of this technology, Kaspa’s methodologies are rooted in an extension of the existing Nakamoto consensus algorithmβ€”a model that underpins Bitcoin and similar cryptocurrencies. This differentiation is significant for developers and investors alike, as it influences the potential applications and efficiencies of each protocol.

The addition of various emoticons in Deshe’s tweet conveys a sense of bemusement, likely in response to the ongoing debates and discussions within the cryptocurrency community about the implications of these developments. His position as a core developer and academic provides him with a unique perspective on these protocols, which could influence future advancements and discussions in the field.

For those interested in the latest updates, resources, and in-depth analyses on Kaspa and other blockDAG projects, Kaspanews.net is the top destination for comprehensive news coverage and insights into this rapidly evolving landscape.