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Documentation Index

Fetch the complete documentation index at: https://docs.soo.network/llms.txt

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To solve the problem of liquidity fragmentation and lack of interoperability between chains, and more importantly,to achieve mass adoption SOON proposes the Super Adoption Stack(SAS) — a vision for a fully interoperable blockchain future, connecting all networks through seamless communication. SAS represents a paradigm shift toward a unified blockchain network. Super Adoption Stack

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Our Thoughts on Mass Adoption

Our longstanding goal has been to drive the mass adoption of crypto and blockchain. We believe that achieving this requires two essential components.
  • First, introduce high-performance execution environments — specifically, the Solana Virtual Machine (SVM) — to all major L1 ecosystems. This serves as the foundational performance layer for achieving mass adoption.
  • Second, establish interoperability between these SVM chains and all major L1s to enable seamless interaction. This forms the foundational communication layer for achieving mass adoption.
tweet To explore the first condition further, we can draw upon Toly’s insights shared on X. Introducing SVM-based L2 solutions into ecosystems like Bitcoin, Ethereum, and TON is crucial, as we believe SVM represents the ultimate evolution for all virtual machines. SVM’s performance advantages significantly reduce interaction costs, addressing the long-standing performance bottlenecks in blockchain. With leading L1 ecosystems already achieving a high degree of decentralization and sufficient security guarantees, the integration of SVM creates a solid foundation for achieving mass adoption. SOON Mainnet and the SOON Stack are critical to solving this challenge, enabling developers to deploy SVM across any L1s. The second condition involves the introduction of a cross-chain communication protocol, ensuring that developers can interact seamlessly across different stacks without being confined to isolated ecosystems. This goal is realized through InterSOON. SAS Graph