X Account: @tech_unlmtd_com |
Core Strategy: Day trading, swing trading, HODLing, technical analysis, fundamental analysis |
Passion: Interest in technology
The technology behind Plasma XPL is centered on its custom Layer-1 architecture specifically engineered for high-throughput stablecoin transactions. Launched as a specialized financial rail in late 2025, it utilizes three distinct layers—Execution, Consensus, and Settlement—to provide zero-fee stablecoin transfers while maintaining Bitcoin-level security. Core Technological Components PlasmaBFT Consensus: Plasma uses a custom Byzantine Fault Tolerant (BFT) mechanism based on the Fast HotStuff algorithm. This pipelined consensus engine is written in Rust and enables the network to process thousands of transactions per second (TPS) with sub-second finality. Reth Execution Layer: Its execution environment is powered by Reth, a high-performance, modular Ethereum execution client also written in Rust. This ensures full EVM compatibility, allowing developers to deploy existing Solidity smart contracts with no code changes. Bitcoin Anchored Settlement: For enhanced security, Plasma regularly bundles its state roots and anchors them to the Bitcoin blockchain. This creates a trust-minimized layer that inherits the security profile of the world's most robust decentralized network. Native Paymaster System: The network's "zero-fee" capability is powered by a protocol-level paymaster that sponsors gas for standard USDT transfers. This system abstracts away the need for users to hold native $XPL tokens for basic payments, significantly lowering entry barriers. Key Innovative Features in 2026 Trust-Minimized Bitcoin Bridge: Scheduled for activation in 2026, the pBTC bridge will allow users to bring native Bitcoin into Plasma's EVM environment to be used as collateral in DeFi protocols. Custom Gas Tokens: Beyond zero-fee transfers, the paymaster allows users to pay for more complex smart contract interactions directly using stablecoins like USDT instead of only $XPL . Parallel Verification Structure: Unlike traditional blockchains that process sequentially, Plasma XPL splits the execution environment into multiple independent domains, allowing for horizontal scalability. Confidential Payments: The roadmap for 2026 includes the integration of confidential transactions, which will allow users to hide transaction amounts and recipient information while remaining compatible with standard wallet UX.
@Plasma #plasma $XPL The launch was further amplified by a substantial airdrop to early participants, which helped generate strong goodwill and immediate trading volume exceeding $5.5 billion within the first 24 hours. The primary feature highlighted at launch was the ability to conduct zero-fee USDT transfers, aiming to make stablecoins a frictionless global payment rail. $QNT $QKC
@Plasma #plasma $XPL The XPL token began trading on major exchanges, including Binance and KuCoin, on the same day as the mainnet launch. The price surged, peaking at $1.54 on launch day from an ICO price of $0.05, a 14.6x jump. Approximately 1.8 billion XPL tokens (18% of the total supply) were in circulation at launch. $Q $QI
@Plasma #plasma $XPL The Plasma network went live on September 25, 2025, at 8:00 AM ET.The network launched with over $2 billion in stablecoin liquidity (TVL) on day one, an unusually high amount for a new chain. The mainnet launch followed a highly successful public token sale in July 2025, which raised $373 million, significantly exceeding its $50 million target. $BNB $SOL
#plasma$XPL @Plasma The Plasma XPL crypto coin and its dedicated Layer-1 blockchain officially launched their mainnet beta on September 25, 2025. The launch was a significant event, met with substantial market enthusiasm and backed by major investors like Peter Thiel's Founders Fund and key figures from Tether/Bitfinex.
The Dusk crypto ecosystem primarily uses zero-knowledge proofs (ZKPs) for core privacy functionalities, but it strategically integrates aspects of homomorphic encryption (HE) within its Hedger technology to enable complex, private computations on its DuskEVM layer. This hybrid approach allows computations to be performed on encrypted data without revealing the data itself, ensuring privacy and auditability coexist for regulated financial applications. The Role and Implementation of Homomorphic Encryption in Dusk Homomorphic encryption (HE) is a form of encryption that allows computations (like addition and multiplication) to be performed directly on encrypted data (ciphertext) without needing to decrypt it first. The result of these operations remains encrypted and, when eventually decrypted by an authorized party, is the same as if the operations had been performed on the original, unencrypted data. In the Dusk ecosystem, HE is specifically utilized within the application layer: DuskEVM (Execution Layer): This EVM-compatible environment allows developers to deploy standard Solidity smart contracts, but with the added layer of privacy provided by the Hedger technology. Hedger Technology: This core innovation combines ZKPs with HE within the EVM. It enables operations like private trading, where an order book can remain hidden from public view, yet the system can verify the correctness of all trades and computations. Confidential Computations: This allows smart contracts to process confidential inputs and execute complex financial logic (such as calculating collateral ratios or executing private auctions) without exposing proprietary data or user information to all network validators. Synergy with Zero-Knowledge Proofs Dusk's main privacy mechanism remains ZKPs, which are used to prove the validity of transactions without revealing details. Homomorphic encryption acts as a powerful complement, enabling a different aspect of privacy: the ability to compute on data while it's encrypted. The combination ensures that Dusk achieves "auditable privacy": Privacy by Default: Transaction and data details are hidden from the public. Verifiable Correctness: The network can still mathematically prove that all rules and calculations are correct through the ZKPs. On-Demand Auditability: Authorized entities (e.g., regulators) can be granted selective access when legally required. This sophisticated hybrid approach is critical for the tokenization of real-world assets (RWAs) like bonds and equities, where both confidentiality and regulatory compliance are mandatory requirements.
The Dusk crypto ecosystem integrates the principle of data minimization as a fundamental design choice, ensuring that only the absolute minimum data required for network verification and consensus is ever exposed on the public ledger. This approach is achieved through a robust combination of zero-knowledge proofs (ZKPs), confidential smart contracts, and a separation of public and private transaction states, allowing for regulatory compliance without sacrificing the confidentiality required for regulated finance. Core Architectural Implementation Data minimization on Dusk is a philosophical and technical pillar, built into the protocol's very architecture: Zero-Knowledge Proofs (ZKPs): This is the engine of data minimization. Instead of revealing sensitive data like transaction amounts, sender/recipient addresses, or even the type of asset being transferred, users generate cryptographic proofs that the transaction is valid according to all network rules. Validators on the network verify the mathematical proof, not the data itself. The only information they learn is that the statement ("this transaction is valid") is true, effectively minimizing the exposure of any private details. Separation of State: Dusk separates the transaction data into public and private states. The public state ensures verifiability and prevents issues like double-spending, while the private, sensitive data remains encrypted or off-chain in a cryptographically secure form under the user's control. Confidential Smart Contracts (XSCs): Developers can build decentralized applications where they explicitly define which variables are public and which remain private. This allows complex financial logic to execute without exposing proprietary strategies or user information. For example, a lending protocol can verify a borrower meets a collateral threshold without revealing their exact asset holdings. Balancing Privacy and Compliance through Selective Disclosure Dusk understands that in regulated finance, total anonymity is often not the goal; rather, it is about controlling who sees what, when, and why. Selective Disclosure: While data is private by default, the system allows for specific, authorized parties (like regulators or auditors) to access particular data points when legally required. This ensures compliance with regulations like GDPR and MiCA without forcing all sensitive market data into the open. Identity Attestations: Instead of storing extensive PII databases on-chain, the network uses verifiable credentials (known as the Citadel framework) to confirm a user's compliance status without revealing their actual identity. This eliminates the need to collect and store unnecessary personal data, adhering strictly to data minimization principles. In essence, Dusk's approach ensures that privacy is a built-in feature, not an optional add-on, making it a robust platform for institutional and regulated financial use cases where minimizing data exposure is mandatory.
Funktionsweise von datenschutzfreundlichen Berechtigungen im Dusk-Ökosystem
Datenschutzfreundliche Berechtigungen im Dusk-Krypto-Ökosystem sind eine zentrale Implementierung der Zero-Knowledge-Proof (ZKP)-Technologie, die es Benutzern ermöglicht, kryptographisch zu beweisen, dass sie bestimmte Anforderungen erfüllen oder über bestimmte Attribute verfügen, ohne die zugrunde liegenden sensiblen Informationen (PII) offenzulegen. Dieses System ist entscheidend, um die Lücke zwischen obligatorischen Finanzvorschriften (wie KYC/AML) und dem Bedarf an Vertraulichkeit in einer öffentlichen Blockchain-Umgebung zu überbrücken. Kernprinzipien Anstatt persönliche Daten jedem Netzwerkteilnehmer offenzulegen, basiert das Modell von Dusk auf mathematischen Beweisen, dass eine Aussage wahr ist, ohne etwas anderes über die Person preiszugeben.
#dusk$DUSK @Dusk Identitätsattestierungen: Anstatt große PII-Datenbanken zu speichern, nutzt Dusk kryptografische Attestierungen, die den Compliance-Status eines Benutzers (z. B. Akkreditierung, Zuständigkeit) beweisen, ohne seine tatsächliche Identität offenzulegen. Dies reduziert drastisch die Risiken von Datenverletzungen und optimiert den Compliance-Prozess. $Q $QI
#dusk$DUSK @Dusk A critical innovation in the Dusk ecosystem is its approach to identity and regulation, which is vital for the tokenization of real-world assets (RWA) such as stocks and bonds: Selective Disclosure: While PII is private by default, the protocol includes a selective disclosure mechanism. Authorized third parties, such as regulators or auditors, can be granted access to specific data when legally required, ensuring adherence to KYC/AML laws without widespread data exposure. $PHA $PYR
#dusk$DUSK @Dusk On-Chain Verification (Zero-Knowledge Proofs): The Dusk network uses ZKPs to verify that transactions adhere to all necessary rules (e.g., regulatory eligibility, sufficient balance) without revealing any of the actual underlying data to the public network validators. Validators only see mathematical proofs of validity, not the PII itself. Confidential Smart Contracts: The Dusk network uses the Rusk Virtual Machine (VM) and XSC standard which enable the creation of confidential smart contracts where developers can define which variables are private and which are public. This ensures that the logic and input data for complex financial instruments remain hidden from public view. $P $POL
#dusk$DUSK @Dusk The Dusk Network prioritizes privacy by default, separating the public and private states of transactions. Off-Chain Private State: Sensitive data, including PII, transaction amounts, and participant identities, is maintained off-chain or in a cryptographically secure, encrypted form within a user's control. $OL $ON
#dusk$DUSK @Dusk Das Dusk-Krypto-Ökosystem ist darauf ausgelegt, sensible finanzielle Informationen und persönlich identifizierbare Informationen (PII) zu verarbeiten, indem Zero-Knowledge-Proofs (ZKPs) direkt in das Protokoll integriert werden. Dies stellt sicher, dass sensible Daten im Allgemeinen off-chain oder on-chain verschlüsselt bleiben und niemals öffentlich im Hauptbuch angezeigt werden. Dieser Ansatz ermöglicht die Einhaltung von Vorschriften, ohne die Vertraulichkeit zu opfern, die von Finanzinstitutionen gefordert wird. $OP $OG
In the Walrus crypto protocol, manual native compounding is the standard process for maximizing staking returns. It requires users to actively and periodically claim their accrued WAL rewards from the native staking dashboard and then perform a separate transaction to restake those tokens back into their existing position. The Compounding Process Unlike some protocols where rewards automatically add to the principal balance, Walrus requires explicit user action for native staking rewards to start generating additional yield. Rewards Accumulation: Rewards are calculated and accrue per epoch (which lasts approximately two weeks). Manual Claiming: Users must connect their compatible Sui wallet (e.g., Martian, OKX Wallet) to the official Walrus staking dashboard and manually initiate a claim transaction for their earned $WAL . Manual Restaking: The claimed tokens do not automatically compound. To benefit from compounding, the user must then take those claimed tokens and go through the initial staking process again—entering the amount, selecting a lock duration, and confirming the transaction. This process involves two separate on-chain transactions and thus incurs two separate transaction (gas) fees, paid in $SUI. Why Manual Compounding Matters Letting rewards sit idle in the "Unclaimed Rewards" section means they are not actively securing the network and, crucially, are not earning any yield themselves. Regularly claiming and restaking is essential for users employing a conservative or balanced strategy focused on growing their principal over time. Alternatives for Automatic Compounding For users who prefer a "set-it-and-forget-it" approach, liquid staking protocols built on top of Walrus offer automatic compounding: Liquid Staking Tokens (LSTs): Projects like Haedal and Winter Walrus operate independently and offer LSTs (e.g., haWAL or wWAL). When users stake their WAL through these platforms, their underlying rewards are automatically compounded, and the value of their LST increases relative to WAL over time. This removes the need for manual intervention but introduces additional smart contract risks associated with third-party protocols.
The Walrus crypto protocol uses subsidies as a core part of its tokenomics to jumpstart network adoption, bridge the gap between user costs and node operator revenue, and ensure long-term sustainability. A significant 10% of the total 5 billion $WAL token supply is specifically allocated for this subsidy program. The Purpose of Subsidies The primary goal of the subsidy mechanism is to create a "growth flywheel" for the network, making the service attractive to both data users and storage providers during the crucial early stages. For Users: Subsidies allow users to access decentralized storage at a rate significantly lower than the actual market price. This encourages early adoption and use of the protocol without users having to bear the full cost of bootstrapping a new decentralized infrastructure. For Storage Nodes: The protocol guarantees that storage node operators receive sufficient revenue to cover their fixed costs, even when user fees are low. This ensures that running a node is a viable business model from the outset, providing the necessary infrastructure and data availability for the network to function effectively. Mechanism and Implementation When a user pays for storage using $WAL tokens, the payment is split. The user pays a price discounted by the current subsidy rate, while the protocol's dedicated subsidy pool makes up the difference to the storage node operators and stakers. The subsidies are not a perpetual feature; they are a temporary measure with a planned lifespan. The 10% token allocation is linearly unlocked over a period of 50 months, a structure designed to gradually phase them out as the network matures and the user base expands. As the network grows: Increased usage generates more actual fee revenue. Competition among node operators drives efficiency and innovation, further lowering costs over time. Ultimately, the subsidies help the Walrus network achieve a sustainable economic model where user demand and operational efficiency align, allowing the protocol to be financially self-sufficient once the subsidy period ends. For developers and users looking to take advantage of these early incentives and low storage costs, the official Walrus website provides documentation and tools for integration.
The Annual Percentage Rate (APR) for staking in the Walrus crypto protocol is a dynamic value determined primarily by the total amount of data stored on the network, the commission rates set by individual nodes, and a staker's chosen lock duration. Unlike many inflationary protocols, Walrus's APR is designed to increase as the network's actual usage grows, as rewards come from real user storage fees, ensuring long-term sustainability rather than relying on endless token issuance. How Walrus Staking APR is Determined The Walrus protocol employs a delegated proof-of-stake (DPoS) mechanism, where token holders delegate their WAL to storage nodes to secure the network and earn rewards. Source of Rewards: Staking rewards originate from the storage fees that users pay in WAL to store data on the network, rather than from new token creation. Network Usage Correlation: The total reward pool expands as the volume of stored data and network activity increase. This means that as Walrus gains more adoption, the potential APR for stakers is designed to rise proportionally. Commission Rates: Node operators charge a commission fee (typically 5% to 15%, though some can be higher) on the rewards earned. Your final net APR is your share of the gross rewards minus this commission, so selecting a node with a competitive rate is crucial. Lock Duration Multipliers: The protocol heavily incentivizes long-term commitment. Stakers who choose longer lockup periods for their WAL receive a significant multiplier on their reward allocation weight, allowing them to earn a disproportionately larger share of the total reward pool. Key Insights Variable Rate: The APR is not fixed and fluctuates based on overall network performance, total staked amount (Total Value Locked), and the current demand for data storage. Long-term Value Focus: Initial staking rewards may appear moderate compared to other high-inflation DeFi projects, but the model is built for long-term appreciation tied to real-world usage. Manual Compounding: Rewards typically accumulate in your dashboard and do not auto-compound. You must manually claim and re-stake them to increase your principal and compound your earnings. No Slashing Risk (for now): Currently, basic delegation does not involve slashing risks (penalties for node misbehavior), although this may change with future protocol upgrades.
#walrus$WAL @Walrus 🦭/acc To encourage robust network behavior, the WAL protocol employs specific incentives: Availability Proofs: Node operators earn rewards for proving they are storing the data they committed to. Hardcoded Factor Deposit: When uploading data, users pay an additional deposit that is returned if they proactively ensure their data is widely distributed across a sufficient number of nodes, promoting network health. Subsidies: The protocol's tokenomics include a significant reserve of WAL tokens specifically for temporarily subsidizing costs for early users and developers building on the platform. $NEO $NMR
#walrus$WAL @Walrus 🦭/acc The Walrus protocol is highly cost-efficient compared to other decentralized storage solutions like Arweave and Filecoin. This efficiency stems from its use of advanced erasure coding (called "RedStuff") which dramatically lowers the data replication factor needed for resilience. $MM $NB
#walrus$WAL @Walrus 🦭/acc Der tatsächliche monetäre Wert der Speicher- und Schreibkosten wird durch einen einzigartigen, dezentralen Mechanismus bestimmt, der die Speicher-Nodes des Netzwerks einbezieht: Node-Voting: Jeder teilnehmende Speicher-Node reicht den Preis ein, den er für angemessen hält für Speicher-Dienste. Percentile-Preisgestaltung: Das Protokoll sortiert alle vorgeschlagenen Preise und übernimmt den Preis im 66,67. Percentil (die unteren zwei Drittel basierend auf der Menge von WAL, die von den Nodes gestakt wird). Dieser Mechanismus, ähnlich dem, der von der Sui-Blockchain für Transaktionsgebühren verwendet wird, hilft, zu verhindern, dass einzelne Nodes willkürlich hohe Preise festlegen, und sorgt für eine wettbewerbsfähige, gemeinschaftsgetriebene Kostenbestimmung. Fiat-Stabilität: Das System ist so konzipiert, dass es die effektiven Speicherkosten in Bezug auf Fiat-Währungen relativ stabil hält und die Benutzer und Nodes vor erheblichen Preisschwankungen des volatilen WAL-Tokens schützt. $M $ME
#walrus$WAL @Walrus 🦭/acc Das Walross-Protokoll unterscheidet zwischen zwei Hauptarten von Gebühren, die mit der Datenspeicherung verbunden sind: Schreibkosten: Dies ist eine einmalige Gebühr, die anfällt, wenn ein Benutzer zunächst neue Daten (genannt "Blob") in das Netzwerk hochlädt und registriert. Ein Teil dieser Zahlung wird bei der Abrechnung verbrannt, während ein anderer Teil an einen Speicherfonds geleitet wird, um zukünftige Verfügbarkeitskosten zu decken. Speicherkosten: Dies sind laufende "Miet"-Gebühren, die für die Speicherung von Daten über einen festgelegten Zeitraum gezahlt werden, den die Benutzer angeben (bis zu zwei Jahre). Der Gesamtbetrag von WAL für die angegebene Dauer wird im Voraus gezahlt, wenn die Daten hochgeladen werden. Diese Vorauszahlung wird dann über die Zeit (Epochen) an die Speicher-Knoten und an diejenigen verteilt, die ihre Token gestaked haben, um sie für ihre Dienste bei der Aufrechterhaltung der Datenverfügbarkeit zu entschädigen. $LDO $LPT
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