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Dusk (DUSK) est une blockchain de couche 1 conçue pour une version du crypto qui ressemble beaucoup plus à la finance réelle : régulée, sensible à la vie privée et conçue pour les institutions qui ne peuvent pas fonctionner avec tout entièrement public. La meilleure façon de comprendre Dusk est de commencer par le problème auquel il répond. La plupart des blockchains sont comme une maison de verre : chaque transaction est visible, les soldes peuvent être suivis et les schémas d'activité peuvent révéler plus que les gens ne le réalisent au fil du temps. Cette transparence peut être excellente pour les marchés ouverts, mais elle devient un problème majeur lorsque l'on traite des produits financiers qui doivent protéger des informations sensibles, comme les positions des clients, les stratégies de trading, l'éligibilité des investisseurs ou tout ce qui est lié à des obligations de confidentialité légales. Dans la finance traditionnelle, la confidentialité n'est pas suspecte, c'est la norme. Les fonds ne diffusent pas leurs transactions, les banques ne publient pas votre solde, et les régulateurs doivent tout de même disposer d'un moyen d'audit sans exposer les données de tout le monde au public. Dusk cherche à apporter cette même structure « confidentielle mais responsable » sur la chaîne, non pas en ajoutant la conformité comme une mise à jour ultérieure, mais en intégrant dès le départ la confidentialité et l'auditabilité dans la conception.

Walrus (and its token, WAL) is one of those crypto projects that makes more sense when you stop thinking like a trader and start thinking like a builder or a real user. Most blockchains are great at recording small, important facts who owns what, who sent what, what a smart contract says but they’re awful at storing large files. The moment you try to put real-world content into Web3 (images, videos, game assets, AI datasets, documents, full websites), you run into a painful reality: storing that “heavy stuff” directly onchain is too expensive and inefficient, so many “decentralized” apps end up quietly relying on centralized cloud storage. That’s why NFTs break when a server link dies, why onchain games still depend on traditional hosting for their content, and why a lot of Web3 experiences still feel like decentralization is only half-finished. Walrus exists to fix that gap by acting like a decentralized “big file layer” that lives alongside the Sui blockchain Sui handles the coordination and logic (ownership rules, payments, programmability), while Walrus handles the actual storage and retrieval of big blobs of data in a way that’s meant to be resilient and cost-efficient. The core trick is that Walrus doesn’t store your file as one giant object on one machine; it splits your data into many encoded pieces using erasure coding, spreads those pieces across different storage operators, and then allows the original file to be reconstructed later from only a portion of the pieces. That matters because real decentralized networks have churn nodes go offline, operators come and go, outages happen so a storage system has to be built around failure, not shocked by it. Walrus also aims to make repair and self-healing practical so missing pieces can be regenerated without wasting massive bandwidth, and it uses Sui to make storage “programmable,” meaning apps can treat stored data like a first-class building block rather than a fragile offchain add-on. In this setup, WAL isn’t just a random token stapled onto a product; it’s meant to be the economic engine: users (or the apps they use) pay in WAL to store data for a set period, storage operators stake WAL (and attract delegated stake) to earn assignments and rewards, and WAL staking power ties into governance so the community can adjust network parameters over time. The most important long-term question for WAL is simple: does Walrus become a storage layer people genuinely use every day? Because if real apps store real data continuously NFT media libraries, onchain game assets, creator content, AI agent memory, datasets, decentralized websites, or even certain data-availability-style needs for scaling stacks then WAL demand can become utility-driven instead of just speculative. That’s the bullish path: Walrus becomes boring infrastructure that developers pick because it’s reliable, predictable, and integrated into the Sui ecosystem, and the token gains value because it’s tied to actual storage consumption and network security. The risks are also straightforward: decentralized storage is competitive, and most users never touch protocols directly they touch apps and gateways so the ecosystem needs strong front ends, smooth developer tooling, and consistent performance in the messy real world where nodes fail and networks are stressed. If Walrus can keep the experience simple while proving durability at scale, it has a real chance to become one of those foundational pieces of Web3 that people stop talking about because it “just works,” but if adoption doesn’t reach that everyday level, the economics become more dependent on incentives and hype, which is always a weaker foundation.

#Walrus @Walrus 🦭/acc $WAL

Walrus (WAL) is basically trying to solve a problem most crypto apps quietly struggle with: where the real data lives. Blockchains are great at ownership and transactions, but they’re not built to store big files like images, videos, AI datasets, game assets, audit logs, or proof documents. So a lot of “decentralized” apps still end up relying on normal cloud storage, which creates weak points—links can break, servers can go down, content can be removed, and it becomes harder to prove a file hasn’t been swapped or altered. Walrus steps in as a decentralized storage network built to work closely with the Sui blockchain, with the goal of making storage feel practical for real products: reliable availability, verifiable references, and cost-efficient handling of large blobs of data. The simple way to think about it is that Sui acts like the coordination layer (rules, payments, proofs), while Walrus acts like the heavy data layer (actually holding and serving the files).
When you store something on Walrus, it doesn’t just copy your file and dump it on one machine. Instead, the network encodes your file into many fragments and distributes those fragments across independent storage nodes. This is where the “smart redundancy” comes in: rather than keeping multiple full copies (which is expensive), Walrus uses erasure-coding style techniques so the original file can still be reconstructed even if many fragments are unavailable. Once enough nodes confirm they’ve stored the right pieces, the system publishes a proof on Sui that effectively says, “this data is now stored and should remain available for the storage period you paid for.” Later, when someone needs the file back, an aggregator fetches enough fragments from the network and reconstructs the original blob. The big benefit is resilience: retrieval can still work even when a chunk of the network is offline, which is exactly what you want if you’re building apps that can’t afford broken media, missing assets, or unreliable evidence files.
On the technology side, Walrus is designed to be more than a “decentralized hard drive.” It’s built around the idea of verifiable availability and a real operating structure for nodes and storage commitments, so developers can treat stored blobs as dependable building blocks rather than best-effort hosting. Walrus also focuses on developer practicality, providing client tooling and service layers (publishers for uploads and aggregators for reads) so teams can integrate storage without having to reinvent the entire pipeline. One important thing to understand about “privacy,” though, is that Walrus storage is not automatically private by default if an app needs confidentiality, the usual approach is to encrypt the data and use access-control tooling (such as Sui ecosystem encryption/access systems) so only authorized users can decrypt it. In other words, Walrus supports privacy-heavy use cases, but privacy typically comes from encryption and permission layers on top of the storage, not from the storage itself being inherently secret.
WAL, the token, is meant to be a functional resource token that powers the storage economy rather than just a “governance badge.” In practice, WAL is used to pay for storing data for a chosen duration, to stake or delegate toward storage operators that secure the network and deliver availability, and to participate in governance that can shape important parameters over time (like pricing rules or enforcement mechanics). The broader idea is that if Walrus usage grows—more apps storing more blobs then the demand for WAL becomes more “utility-driven,” because the token is directly tied to buying storage and coordinating incentives for nodes. Tokenomics details like supply, allocations, and unlocks can influence market behavior, but the long-term health of WAL depends most on whether Walrus becomes a default storage choice for apps that actually ship and attract users.
Where Walrus feels most naturally positioned is in app categories where data isn’t optional it’s the product. AI and agent applications need reliable places to store and retrieve large outputs, traces, datasets, and model artifacts. Data marketplaces need a credible way to prove datasets exist, maintain integrity, and control access. Consumer apps and games need fast, durable hosting for user-generated content and assets without becoming dependent on a single platform that can censor or deplatform them. “Proof-heavy” apps like prediction markets, ad verification systems, compliance workflows, and tokenized real-world asset platforms all benefit from storing evidence files in a way that’s harder to delete, easier to audit, and more verifiable over time. In these scenarios, decentralized storage isn’t a nice-to-have it becomes part of the trust model of the app.
The growth potential for Walrus comes down to whether it can become invisible infrastructure: easy for developers, reliable for users, and cost-competitive enough that teams stop defaulting to centralized cloud for critical app data. If Sui continues attracting consumer-scale projects, and if the AI/data economy keeps expanding, a storage layer that offers verifiable availability and composable references could become increasingly valuable. At the same time, it’s worth being honest about the risks. Adoption is the biggest one—storage protocols don’t win by having cool architecture; they win when apps actually use them at scale. UX is another: if uploading, retrieving, and managing encryption/access control feels complicated, builders will fall back to Web2. Token dynamics matter too, because unlock schedules and incentive design can create sell pressure unless there’s real demand from storage usage. And privacy misunderstandings are a real hazard if people assume “private by default” and store sensitive data without encryption, that can lead to serious mistakes. Overall, Walrus is best understood as Sui’s serious attempt at a decentralized storage layer designed for modern, data-heavy apps, and WAL is the economic engine behind it so the real story will be written not by marketing, but by whether developers build on it and users end up relying on it without even thinking about it.

#Walrus @Walrus 🦭/acc $WAL

Dusk Network est principalement conçu pour la partie du crypto qui pose problème à la plupart des chaînes : la finance réglementée. La plupart des blockchains sont transparentes par défaut, ce qui est excellent pour les écosystèmes ouverts, mais cela devient rapidement gênant lorsque l'on essaie de mener des activités financières en chaîne, car les institutions ne veulent pas que leurs soldes, leurs échanges, leurs contreparties et leurs stratégies soient visibles par tout le monde pour toujours, et les régulateurs ont encore besoin de preuves que les règles ont été respectées. Dusk se situe exactement dans cet écart et tente de le résoudre avec une idée simple : créer une couche 1 où la confidentialité est la norme, mais où la conformité et la traçabilité restent possibles de manière contrôlée. Autrement dit, il vise à offrir une « confidentialité avec preuves » : les transactions et les activités peuvent être confidentielles, mais le système peut toujours prouver leur validité, et, le cas échéant, les parties concernées peuvent divulguer sélectivement des informations pour des audits ou un contrôle sans révéler tout à tout le monde.

Walrus (WAL) is basically trying to solve one of the most ignored problems in crypto: blockchains are great at proving ownership and enforcing rules, but they’re awful at storing real-world data like images, videos, game assets, app front-ends, AI datasets, and big archives. Most “decentralized” apps still quietly rely on normal cloud servers for that stuff, which creates weak points—content can disappear, front-ends can be taken down, and users end up trusting whoever controls the storage. Walrus steps in as a decentralized “blob storage” network (blobs = big unstructured files) built to work closely with the Sui blockchain, where Sui acts like the coordination and logic layer while Walrus handles the heavy data. Instead of saving a file as one big chunk on one machine, Walrus breaks it into many encoded fragments using erasure coding (and its own approach often referred to as “Red Stuff”), then spreads those fragments across independent storage nodes so the original file can still be reconstructed even if a bunch of nodes go offline. That’s the core value: high availability and resilience without wastefully storing full copies everywhere, which can make storage more cost-efficient than brute-force replication. What makes Walrus feel especially “Web3-native” is that it’s designed for programmable storage apps can treat storage like a first-class resource by referencing blobs through on-chain logic on Sui, so smart contracts can do things like check that a blob exists and is available before minting an NFT, gate access to content, extend storage automatically when users pay, or manage the lifecycle of data over time. WAL, the token, exists because decentralized storage needs a real economy to function: users pay in WAL to store data, node operators are incentivized and secured through delegated staking, and governance uses WAL stake to vote on network parameters and upgrades; over time, penalty and burn/slashing-style mechanisms can help push honest behavior and keep incentives aligned, although in many networks these enforcement features evolve as the system matures. In terms of ecosystem and use cases, Walrus fits naturally into data-heavy categories that crypto is moving toward NFT brands that don’t want media turning into broken links, decentralized websites and dApp front-ends that shouldn’t be easy to censor, games that need large assets, AI workflows that need big datasets, and applications that want tamper-resistant audit trails or historical records stored in a verifiable way. The long-term growth story is simple: if Web3 keeps expanding into media, gaming, AI agents, and consumer apps, storage stops being a side feature and becomes core infrastructure—and Walrus is positioning itself to be that “plumbing layer” for the Sui ecosystem and beyond. At the same time, the risks are real and worth respecting: decentralized storage is a fiercely competitive space, incentives need to transition from subsidy-driven growth to sustainable real demand, “decentralized storage” doesn’t automatically mean “private storage” unless apps use encryption and solid key management, and the user experience must stay fast and reliable or developers will choose alternatives. If Walrus can deliver consistent performance, meaningful adoption, and a healthy token-driven security model, it has a clear path to becoming one of those quiet but essential networks that you don’t hype every day because it’s too busy powering everything behind the scenes.

#Walrus @Walrus 🦭/acc $WAL

Le réseau Dusk est essentiellement une blockchain de couche 1 qui tente de résoudre un problème récurrent dans le monde de la crypto : les besoins en matière de finance réelle exigent à la fois confidentialité et une conception compatible avec la réglementation, mais la plupart des chaînes sont soit entièrement transparentes (ce qui expose les utilisateurs et les institutions), soit trop privées, rendant la conformité compliquée. Dusk s'inscrit volontairement dans cette voie médiane. Il est conçu pour une infrastructure financière réglementée, ce qui signifie que son objectif à long terme n'est pas simplement « une autre chaîne DeFi », mais une couche de base pour des applications telles que la DeFi conforme, les actifs du monde réel tokenisés et des applications financières de qualité institutionnelle, où la confidentialité est la norme et l'auditabilité reste possible lorsqu'elle est nécessaire. Autrement dit, il vise une « confidentialité par conception » sans ignorer l'existence des régulateurs. Le réseau principal est entré en fonction le 7 janvier 2025, ce qui est important car cela fait passer Dusk d'années de développement à un réseau opérationnel et fonctionnel.

Walrus is basically trying to solve one of the most annoying “quiet problems” in crypto: almost every Web3 app depends on big offchain files (images, videos, game assets, PDFs, datasets), and most of that stuff still ends up living on normal cloud servers. That means a dApp can have smart contracts onchain but still be fragile, censorable, or breakable if the centralized storage goes down. Walrus is a decentralized blob storage protocol built closely with the Sui ecosystem to fix that. Instead of putting large files onchain (which is expensive and inefficient), Walrus stores them across a network of independent storage operators, while Sui acts like the coordination and proof layer that tracks metadata and anchors a Proof-of-Availability—basically a verifiable “receipt” that the network accepted and stored the data. Walrus uses erasure coding (their approach is often referred to as “Red Stuff”) to split files into fragments with redundancy, so data can still be reconstructed even if a meaningful portion of nodes go offline, and the protocol highlights strong fault tolerance goals. What makes Walrus more than “just storage,” though, is the idea of programmable storage: blobs and storage capacity can be represented as onchain resources, so applications can build logic around data—things like automated renewals, subscriptions, token-gated content, onchain ownership references, and even data marketplaces. The WAL token fits into this by powering the economics: users pay WAL for storage for a fixed time period, and those payments are distributed over time to storage operators and stakers; WAL is also used for delegated staking to align incentives and secure the network, and it gives governance power to adjust system rules and parameters. Walrus publishes a max supply of 5 billion WAL and an initial circulating supply of 1.25 billion, with allocations split across community reserve, a user drop, subsidies, core contributors, and investors, plus burn mechanisms tied to penalties and future slashing concepts that are meant to add deflationary pressure as network activity grows. On the ecosystem side, Walrus isn’t just theory—there are SDKs, dashboards, explorers, and practical products like Walrus Sites (for hosting decentralized websites) and Seal (an encryption and access-control layer meant to make private or permissioned data storage realistic), which together push Walrus beyond “public file hosting” into more serious use cases like private datasets, subscription content, enterprise sharing, and AI-era data markets. Partnerships and integrations like Plume using Walrus for blob storage and verification in asset-backed contexts, and Veea exploring edge-focused infrastructure plus decentralized storage for data-heavy apps suggest the project is positioning itself for real utility rather than purely speculative hype. The roadmap themes that matter most are also pretty practical: improving performance and retrieval, supporting even larger blobs, making blob lifecycle management simpler for developers, and pushing toward stable storage pricing anchored to USD terms so builders can plan costs without being whiplashed by token volatility. The upside case is straightforward: if Sui adoption grows and more apps need a reliable decentralized “big data” layer, Walrus can become the default place where the heavy content lives quietly essential infrastructure. The honest risks are also real: decentralized storage is extremely competitive, retrieval speed and reliability need to feel smooth in real-world conditions, early ecosystems can accidentally centralize around a few popular gateways or operators, and privacy isn’t automatic unless developers use encryption tools correctly. Still, if Walrus delivers on developer experience and dependable performance, it has a strong chance to become one of those foundational protocols people stop talking about because it just works in the background which, in infrastructure, is basically the goal.

#Walrus @Walrus 🦭/acc $WAL

Dusk Network is one of those projects that makes a lot more sense when you look at the kind of world it’s trying to serve. Founded in 2018, Dusk is a Layer 1 blockchain built for regulated finance meaning it isn’t just chasing the usual crypto crowd, it’s aiming at the part of the market where privacy, rules, audits, and settlement certainty are non-negotiable. The big idea behind Dusk is pretty straightforward: in real financial markets, confidentiality is normal (institutions can’t have balances, strategies, positions, and order flow exposed publicly), but at the same time regulators and auditors still need proof that everything is correct and compliant. Most blockchains lean hard toward transparency, while traditional finance leans hard toward closed systems. Dusk is trying to sit in the middle by designing privacy and auditability together, so sensitive information can remain private while the system can still prove it’s behaving properly.
Under the hood, Dusk is moving toward a modular architecture, which basically means the network is being structured into layers that specialize in different jobs. The base layer focuses on security, consensus, and settlement so the chain can provide fast, deterministic finality that is important for financial infrastructure. On top of that, Dusk is building different execution environments so developers and institutions aren’t forced into a single model. One side of the strategy is EVM compatibility, which is important because it reduces friction for builders and allows familiar tooling and smart contract patterns. The other side is privacy-first execution, because regulated finance often needs confidentiality baked in at the protocol level, not patched on later. This modular approach is Dusk’s way of trying to combine the reliability and finality demanded by financial systems with the flexibility and programmability that make blockchains useful.
Where Dusk really stands out is how it treats privacy. Instead of being a single “privacy feature,” Dusk supports different transaction styles so the network can handle both transparent flows and shielded flows depending on what the situation requires. In practice, that means it can support public transfers when transparency is necessary for reporting or operational reasons, and private transfers when confidentiality matters. For privacy, Dusk leans on zero-knowledge proofs and encryption-based approaches to achieve something institutions actually want: not chaos or pure anonymity, but confidentiality with verifiable correctness. In simple terms, the goal is to hide what should be hidden while still proving the important parts—like the validity of the transaction or the integrity of a process—are correct.
The DUSK token is the fuel and security backbone of this whole system. It’s used for staking to secure the network, paying transaction fees, incentivizing the participants who keep the chain running, and enabling application deployment and network services. Tokenomics matter, but with a finance-focused chain like this, the deeper question is always whether the network reaches real activity that makes those mechanics meaningful: issuance, trading, settlement, payments, and institutional-grade usage. If Dusk becomes the infrastructure that regulated markets actually use, then the token’s utility naturally strengthens because it becomes tied to real economic flows rather than only speculation.
Dusk’s ecosystem direction matches its thesis too. Instead of trying to look like a typical hype-driven chain full of random apps, the long-term shape of a Dusk ecosystem is more likely to be staking and validator tooling, exchange and liquidity layers (especially through the EVM environment), stable-value payment rails, institutional custody and operational tooling, and applications that focus on tokenized real-world assets and compliant financial products. The real-world use cases Dusk is targeting are pretty clear: issuance of regulated assets like tokenized securities, privacy-preserving trading where institutions aren’t forced to broadcast their activity, “compliant DeFi” where access and reporting rules can exist when required, and settlement/post-trade workflows where financial markets still waste huge money and time today. Payments also fit naturally into this picture, especially if regulated stable-value assets become a standard bridge between traditional money and tokenized markets.
Partnerships and integrations matter more for Dusk than they do for most projects, because regulated finance doesn’t adopt technology the way crypto does. In this world, credibility and compliance rails aren’t just marketing they’re prerequisites. That’s why the healthiest way to judge Dusk’s progress isn’t by buzzwords or short-term hype, but by practical signals: does the base chain stay stable and improve over time, does the EVM side attract builders and actual usage, do privacy and auditability tools become usable enough for real products, and most importantly, do regulated asset pilots turn into real issuance, real trading, and real settlement volume. That last one is the moment Dusk stops being “a promising narrative” and starts being infrastructure.
At the same time, it’s worth being real about the challenges. Building privacy + compliance + financial-grade settlement in one stack is hard, and it tends to take longer than typical crypto roadmaps. Institutional adoption is slow even when the technology is strong, because legal review, risk management, and licensing take time. Regulation can be a tailwind or a headwind depending on jurisdiction and timing, and competition in tokenization and RWAs is getting crowded fast. Dusk also still has to win the classic blockchain battle of ecosystem gravity developers, liquidity, and users because even the best technology can
stall without adoption. But if Dusk executes, it’s playing for a different kind of win: not a short hype cycle, but a durable position as privacy-aware, compliance-friendly infrastructure for on-chain financial markets.

#Dusk @Dusk $DUSK