Spectre BTC

Delivery-versus-Payment on the Dusk Network ensures that assets and payments move at the exact same moment—an all-or-nothing exchange. This synchronized settlement acts like a secure handshake, removing uncertainty and aligning blockchain execution with the standards long used in traditional financial markets.
Dusk separates execution from settlement. The network itself is responsible for final, immutable settlement and data availability, while DuskEVM and Dusk VM handle the programmable logic of the exchange. Assets and payments only transfer once every condition is met; if anything fails, the transaction halts entirely, eliminating partial or broken trades.
This model is reinforced by Dusk’s strong finality. Once a DvP transaction is confirmed, it cannot be reversed. For institutional use cases such as securities trading, this certainty is critical, allowing clearing and settlement processes to run automatically without settlement risk.
Privacy is built in by design. DvP transactions can use Phoenix transactions for confidential trades, hiding counterparties, amounts, and pricing while still proving validity, or Moonlight transactions when transparency and regulatory disclosure are required. This dual model supports both private market activity and public compliance obligations.
Regulatory enforcement happens at the protocol level. Through Citadel, participants must prove eligibility—such as KYC and AML compliance—during the transaction itself. Non-compliant trades are blocked before settlement, reducing reliance on external controls and post-trade checks.
Smart contracts define the DvP conditions clearly and verifiably. These rules can be implemented on DuskEVM for standard workflows or on Dusk VM for more specialized logic. In all cases, settlement follows transparent, deterministic rules that all parties can audit.
DvP on Dusk supports both tokenized and real-world assets, enabling regulated instruments like stocks, bonds, and other securities to be exchanged for DUSK or approved settlement assets. This brings blockchain efficiency to traditional finance without sacrificing compliance.
The network’s modular architecture is coordinated through a native bridge, ensuring atomic DvP execution across layers. For oversight and reporting, the Rusk Universal Event System records each DvP transaction, producing audit-friendly events that regulators and monitoring tools can consume without exposing sensitive data.
By executing delivery and payment simultaneously, Dusk’s DvP significantly reduces counterparty and settlement risk. This mirrors best practices in securities markets and positions Dusk as a strong foundation for exchanges, trading venues, and institutional finance.
In short, Delivery-versus-Payment on Dusk provides a native, compliant framework for secure and private atomic settlement. By combining finality, identity enforcement, smart contracts, and flexible privacy, Dusk enables real-world financial markets to operate directly onchain.
@Dusk #Dusk $DUSK

Walrus is built so that strong read and write performance is the norm, not an afterthought. For clients, using Walrus feels similar to interacting with modern cloud storage—fast, parallel, and reliable—while still maintaining decentralization and robust security.
High write throughput is achieved through efficient data encoding and distribution. When a client uploads a blob, the data is split and erasure-coded into many smaller pieces, which are sent in parallel to multiple storage nodes instead of being written sequentially to a few replicas. Since each node handles only a portion of the data, bottlenecks are avoided. Writes complete once a quorum of nodes responds, allowing progress even if some nodes are slow or temporarily offline.
Read performance follows the same parallel model. Clients fetch multiple data pieces simultaneously from different nodes and reconstruct the original blob as soon as enough pieces arrive. Because any sufficient subset can restore the data, slow or unresponsive nodes can be skipped, making reads resilient to network variability, churn, and partial failures.
Walrus also decouples data transfer from availability verification. While storage nodes continuously prove data possession, clients are not forced to wait on heavy verification steps for every operation. This avoids the latency overhead common in systems where reads and writes are tightly bound to on-chain checks or expensive processing.
By combining erasure coding, quorum-based completion, and extensive parallelism, Walrus delivers consistently high throughput for both reads and writes. The result is a decentralized storage network that scales with its node count while remaining fast enough for real-world use cases, from data-heavy Web3 applications to long-term public datasets.
@Walrus 🦭/acc $WAL #walrus

Walrus is designed so that overall storage capacity grows naturally with the number of nodes in the network. Expansion is a built-in feature, not a limitation that requires later architectural workarounds. Unlike traditional storage systems that depend on centralized upgrades or heavy coordination, Walrus allows independent, professional operators to add storage that becomes immediately available to the network.
Every new node contributes real, verifiable capacity. By using erasure coding instead of full data replication, Walrus turns added hardware into usable storage efficiently, avoiding excessive overhead while maintaining strong safety and availability guarantees. As the network grows, both total capacity and resilience increase in tandem.
Capacity is managed through quorum-based shard assignment and recovery rather than binding data to specific machines. This abstraction enables automatic rebalancing as nodes join, leave, or experience downtime. Even during churn or partial failures, effective capacity stays reliable because shards can be reconstructed and redistributed without interrupting the entire system.
The economic model further supports this scaling dynamic. Operators are incentivized to add capacity and maintain uptime, while governance parameters can evolve alongside network growth. There is no hard architectural cap—capacity is limited only by the combined resources of participants.
As adoption increases, Walrus scales organically: more nodes translate into greater storage, higher throughput, and improved fault tolerance, all without redesign. This makes Walrus well-suited for long-term, internet-scale data that must remain available as the network continues to expand.
@Walrus 🦭/acc $WAL #walrus

Walrus introduces a self-custodied, object-based staking model that redefines how users stake tokens. Rather than transferring funds into a protocol-controlled contract, staked WAL is wrapped into staking objects that stay fully owned within the user’s wallet. This design choice significantly reduces systemic risk and stays true to the principles of decentralized ownership.
When WAL is staked, it becomes an on-chain staking object that encodes all relevant parameters—stake amount, epoch timing, reward eligibility, and slashing rules. Importantly, ownership never leaves the user’s wallet. Walrus does not custody principal funds, eliminating the large attack surfaces common in pooled or escrow-based staking systems. Even in adverse scenarios, user funds are not concentrated in a single vulnerable contract.
This model also unlocks powerful composability. Because staking positions exist as on-chain objects, developers can build around them—adding delegation layers, automation strategies, analytics, governance tools, or even secondary markets for staking-related use cases. Staking evolves from a simple lock-up into a modular, programmable primitive.
At the same time, protocol enforcement remains robust. Walrus applies rewards, penalties, and exits through deterministic object rules and epoch transitions, without needing control over private keys. Slashing adjusts the value of the staking object itself, preserving both accountability and user sovereignty.
By combining self-custody, object-oriented staking, and clear economic enforcement, Walrus delivers a staking system that is more secure, composable, and future-ready—strengthening trust while enabling innovation across the decentralized storage ecosystem.
@Walrus 🦭/acc $WAL #walrus