BullionOX

When I speak directly with developers and creators about Web3, one concern always comes up naturally: storing large data safely without relying on centralized services. Blockchains are excellent for transactions and logic, but they are not designed to store heavy files like NFT images, videos, AI datasets, or application assets. This is exactly where @Walrus 🦭/acc fits into the conversation in a very practical way.

Walrus is built as a decentralized storage and data availability protocol that works alongside the Sui blockchain. Instead of forcing large data onto the chain, Walrus allows applications to store data off chain while still maintaining cryptographic guarantees of availability. In simple terms, the blockchain records proofs that the data exists and can be retrieved, while the actual data lives in a decentralized network of storage nodes.
What impressed me when I first explored Walrus is how it treats storage as infrastructure rather than an afterthought. Files are broken into encoded pieces and distributed across many independent storage providers. Even if some nodes go offline, the data can still be reconstructed. This makes the system resilient by design, without relying on trust in any single operator.
This design becomes especially valuable for NFTs. Many NFT projects depend on media files that must remain accessible for years. With Walrus, NFT content is stored in a decentralized way and referenced on chain using unique identifiers. Users can verify that the content is available without loading the full file onto the blockchain. This solves a real problem that many NFT creators face today.
AI builders I have spoken with face a similar challenge. Training data, model checkpoints, and experiment outputs are too large for on chain storage. Walrus allows these datasets to be stored securely while still being verifiable through blockchain references. This opens the door for decentralized AI workflows that require both scale and trust.
Another important aspect is economic sustainability. Storage on Walrus is paid for using $WAL which aligns incentives between users and storage providers. Providers are rewarded for maintaining data availability, encouraging long term participation instead of short term speculation. This makes the network more stable over time.
What stands out to me most is that Walrus does not try to replace blockchains. Instead, it complements them. Developers can build applications where logic lives on chain while data lives in a decentralized storage layer designed specifically for scale and reliability. This separation is what makes the system practical for real world use.
From my experience explaining this face to face, Walrus resonates because it solves a problem developers already have, rather than inventing a new one. It brings permanence, efficiency, and verifiability together in a way that feels natural for modern Web3 applications. That is why #Walrus is becoming an important part of conversations around decentralized infrastructure, especially as data heavy applications continue to grow.
@Walrus 🦭/acc $WAL #walrus

I have been thinking a lot about what "proving enough" really means in finance these days. @Dusk is changing how we see that idea. Instead of showing everything, they focus on proving just what needs to be proven nothing more, nothing less.
Traditional systems make you share full details to prove compliance. Dusk uses zero knowledge proofs (ZKPs) so you can prove a transaction is valid, KYC passed, or limits were met without revealing private numbers or names. It's like showing a locked box is full without opening it.
This rethink matters for real finance. Institutions can tokenize bonds or private equity on Dusk while protecting sensitive data. Hedger (Alpha live) applies ZKPs to make EVM transactions confidential yet auditable. Regulators get cryptographic certainty; competitors get nothing.
Dusk's design fits MiCA rules naturally. Native KYC/AML checks and permissioned paths mean compliance is built in, not added later. ZKPs prove "enough" for law without exposing business secrets.
Recent steps show it's working. Mainnet (early 2025) runs Proof of Blind bid, where ZKPs prove staking is fair privately. DuskEVM (mainnet January 2026) lets developers use standard code with ZKP privacy.
Partnerships like NPEX (tokenized over €300 million in assets) prove the approach in real life. Chainlink integrations add secure data feeds, all verified with ZKPs.
DuskTrade (2026 phased launch, waitlist open) will take this further for compliant trading. The Foundation is quietly showing that proving enough can be private, secure, and regulation friendly.
What do you think does proving just enough with ZKPs feel like the future for onchain finance?
Have you looked at Hedger yet?
@Dusk $DUSK #dusk

When I started paying closer attention to how Web3 applications actually work day to day, one thing became clear. Most chains focus on persistent storage for things like transaction history or static files, but real applications need more than that. They need quick, reliable access to data in the moment, almost like memory in a computer, to feel responsive and useful. Persistent storage alone is not enough when you're dealing with dynamic dApps, AI agents, or rich media experiences. @Walrus 🦭/acc Protocol addresses this gap by building a decentralized layer that combines durable availability with practical performance for retrieval.
Walrus is designed as a blob storage network on Sui, where large unstructured data gets encoded and distributed efficiently. The protocol uses RedStuff, a two dimensional erasure coding system, to split blobs into slivers across independent nodes. This keeps replication low, around 4x to 5x, while ensuring data can be reconstructed even if many nodes are temporarily unavailable.
What sets it apart is the emphasis on making data not just stored forever, but accessible when needed. Uploads generate an on chain Proof of Availability certificate on Sui, which verifies retrievability without full downloads. Retrieval happens through aggregators that collect slivers and deliver the blob, often paired with caching layers or CDNs for faster access.
In conversations with developers, I've seen how this matters for agentic AI workflows. Projects like elizaOS use Walrus as a foundational memory layer for multi agent systems. Agents store context, training data, or shared knowledge as blobs, retrieving it quickly and verifiably. This creates a decentralized equivalent of working memory, where data is provenance tracked and auditably available without centralized servers.
Similarly, Talus Network leverages Walrus for on chain AI agents that handle higher data demands like context storage or model weights. The combination allows agents to recall information efficiently, supporting complex, stateful behaviors in a decentralized way.
For everyday dApps, this means hosting dynamic content or media that loads smoothly. Walrus Sites, for instance, store full website resources as blobs, enabling frontend delivery with low latency through gateways or caches, while Sui handles metadata and ownership.
The key insight is that Web3 has plenty of ways to store data permanently, but without fast, reliable retrieval, applications stay clunky. Walrus bridges that by prioritizing both long term resilience through incentives and $WAL staking for nodes, and practical access that feels closer to memory operations.
This approach feels like a natural evolution. Persistent storage secures the past, but memory like capabilities enable the present and future of interactive Web3 experiences.
@Walrus 🦭/acc $WAL #walrus

I have delved into @Dusk Network's technical evolution over the years, one aspect that really captures the project's commitment to privacy first finance is the progression of its virtual machine. Starting with the Rusk VM and moving to Piecrust, this journey reflects a deliberate design to enhance execution efficiency while maintaining strong support for zero-knowledge proofs and confidential computations. It's not about flashy changes but building reliable infrastructure for regulated use cases.
Rusk VM laid the groundwork when Dusk was developing its mainnet, which went live in early 2025. As the original runtime environment, Rusk was designed to handle smart contract execution with a focus on confidentiality. It supported Dusk's dual transaction models phoenix for shielded, private operations and Moonlight for public, compliant ones ensuring that contracts could run deterministically even with hidden states.
From my experience tracking blockchain VMs, Rusk's strength was in its integration with Dusk's consensus, allowing for secure, verifiable execution in a Proof of Stake setting. It optimized for ZK friendly circuits, enabling proofs that confirmed contract logic without revealing inputs or outputs, which is crucial for financial applications where data privacy is non negotiable.
However, as Dusk aimed for greater scalability and developer accessibility, limitations in Rusk became apparent particularly in performance for complex contracts and adaptability to new standards. This set the stage for an upgrade, aligning with Dusk's vision of long term utility in compliant DeFi.
Enter Piecrust, the evolved virtual machine that represents a significant step forward. Introduced as part of Dusk's post mainnet roadmap, Piecrust is WASM based, offering better modularity and efficiency for contract execution. It builds on Rusk's foundations but improves resource management, making it more suitable for high-throughput financial operations without sacrificing privacy.
Piecrust's design intent is clear: to support advanced ZK architecture while being developer friendly . It allows for seamless upgrades without hard forks, meaning the network can adapt to new cryptographic standards or performance needs over time. This is especially relevant for regulated finance, where systems must evolve with legal frameworks like MiCA.
In practice, Piecrust enhances DuskEVM, the EVM compatible layer, by optimizing ZK proof generation for confidential smart contracts. Contracts can execute privately, with proofs attesting to their correctness, reducing computational overhead and enabling real world applicability in areas like tokenized securities.
The transition from Rusk to Piecrust wasn't abrupt; it was iterative, with testing phases ensuring backward compatibility. This careful migration preserved existing contracts while unlocking new capabilities, such as faster execution times and lower costs for private operations key for institutional adoption.
Throughout this journey, the $DUSK token plays its role in the economic layer, covering gas for VM operations and staking to secure the network, tying the VM's efficiency to overall ecosystem health.
What strikes me about this evolution is how it embodies @Dusk pragmatic approach: focusing on incremental improvements that enhance privacy and compliance without disrupting users. In Web3, where many projects chase novelty, Dusk's VM path prioritizes stability and utility for regulated environments.
Have you noticed how VM upgrades impact privacy chains? What's one change you'd like to see in blockchain execution tech?
@Dusk_Foundation

One thing that always comes up when I have an in person conversation with a builder and developers is that the traditional approach of decentralized storage options seems to be a trade off expensive, inefficient, or not directly connected with modern smart contract solutions. That is exactly what my own conversations and research have indicated is the issue that @Walrus 🦭/acc has set out to address with a new take on decentralized storage architecture, to which the Sui ecosystem is no exception.
Fundamentally, Walrus is a decentralized data availability and data storage network that reinvents the management of large, unstructured data in Web3 including media files, datasets, and application artifacts. Walrus does not encode data on a blockchain as this is expensive and inefficient; instead, it relies on more efficient erasure coding to break data into encoded pieces (so called slivers) and store them at a large number of independent storage nodes. It implies that the system does not have to store full copies in all locations but information can still be reassembled even when the parts of the network fail.
This architecture tends to find traction even in discussions with developers, as it trades off cost, availability and resilience. The encoding technique, sometimes known as Red Stuff in Walrus literature, is much more readily available than full replication, and comes at a much reduced storage cost. This renders decentralized storage not only an ideal state of matters, but feasible and usable at scale.
The way Walrus integrates into the Sui blockchain is one of the design innovations that I continue to point out. Rather than putting files on-chain, which would soon be prohibitively costly, the Walrus only stores metadata and cryptographic proofs of availability as objects on Sui. These evidences enable users and smart contracts to confirm the existence of the data and ability to retrieve them without having to store and read the entire content directly on the chain. It is this close on chain/off chain interaction that renders the architecture efficient and trustworthy.
Practically, placing a file on Walrus gives it a blob ID and is divided into fragments that are spread among a dynamic committee of storage nodes. When enough nodes have verified that they possess the assigned fragments, the system produces a certificate on chain known as a Point of Availability (PoA) that certifies that the file is available. At that stage, the network assumes the role of ensuring the access during the entire storage period. This isolation of responsibility upload responsibility/long term availability responsibility is what I explain to others as a strong assurance that many of the older storage protocols lacked.
The other feature that I have to explain repeatedly is the support of programmable storage resources by Walrus. Since storage capacity and blobs themselves are themselves on chain objects, developers can access, authenticate and expand them directly in smart contracts written in Sui in the Move language. This exposes new patterns in design where storage is no longer just passive data, it now becomes part and parcel of application logic. To name a few, there is the option of periodic renewals, transfer of storage rights, or even automated contracts based on data lifecycle.
Walrus has also been extended into more than simple storage such as Walrus Sites which allows fully decentralized static web hosting directly on the Walrus and Sui networks. They are used to store HTML, CSS, JavaScript, and media in Walrus blobs, which are connected to human readable addresses and exploit decentralized distribution and resistance to censorship. When I explain it to individuals excited about frontends in Web3, they tend to draw the line instantly: apps that appear and feel like conventional ones but exist on fully decentralized infrastructure.
The only thing that Walrus can really boast of is its ability to allow you to bridge the gap between on chain logic and off chain storage without compromises. The coordination, metadata, and prove attestation of Walrus are done with Sui blockchain; therefore, Walrus does not reinvent consensus or execution. Rather, it concentrates on what it is most efficient in efficient, resilient, and verifiable data storage at scale.
This design relies on the use of $WAL where incentives between the storage providers and users are synchronized. Storage, reward node operators and governance are paid with WAL and make the ecosystem run sustainably as time goes by. Such a matching of economic incentives and technical guarantees allows the use of decentralized storage and attract developers who are concerned with its durability and reliability.
In the more general sense of decentralized storage, Walrus is a next generation architecture, one that is constructed with cost efficiency, recoverability, and on-chain programmability in its core. It does not merely provide a location to trash files; it provides a platform on which data is a verifiable and indivisible component of decentralized applications. That was the reason why, when speaking to builders, Walrus has frequently been referred to not only as storage, but since it facilitates new Web3 application and experience designs.
With increasing developers looking to create multimedia dApps, decentralized web experiences, blockchain archives or AI data layers, Walrus provides a scalable and resilient base which fulfills real life requirements without compromising decentralization. In that regard, Walrus is transforming the design of decentralized storage to make it more cost effective and siloed rather than an expensive, coordinated, and programmable data platform of tomorrow.
@Walrus 🦭/acc $WAL #walrus

My initial response when I began reading about @Dusk Network was that zero knowledge proofs (ZKPs) could hardly be made to scale to a way of doing even basic finance, and not be absurdly slow and complex. The more I examined how they do things, the more I realized the sense of pragmatism and reason. Dusk applies ZKPs to verify that a transaction or smart contract is valid and compliant without disclosing any personal information 0sums, identities, and business strategy. This is what makes up their privacy design.
Dusk ZKPs will enable you to demonstrate to regulators that all is well by the book without exposing sensitive information to competitors and the general population. They use ZKPs along with homomorphic encryption to allow complex calculations to be privately performed by confidential smart contracts. The development of Hedger (in Alpha) allows this to be applied to EVM transactions, i.e. developers can create familiar applications that remain hidden and auditable simultaneously.
In practice of financial applications in the real world, this is very different. Use tokenized bonds or private equity: ZKPs do not reveal the name of the investor or terms and conditions but can demonstrate that KYC checks were completed, limits were not exceeded, and reporting was done. This is very much in line with such regulations as MiCA in Europe, where one has to ensure transparency so that the compliance is achieved, but it is damaging to the business to disclose everything.
One of the problems that institutions are always faced with is the protection of competitive information. ZKPs based on dusk provide such solutions by achieving cryptographic, non-leaky assurance. Regulators have evidence; none have evidence. Not a nice theory, it is privacy that is that which passes the actual audit and legal check.
The latest updates make ZKPs even more applicable. In early 2025, Mainnet was launched using Proof-of-Blind-Bid consensus in which ZKPs continue to stake anonymously and without vulnerability so that no-one can strike big stakers without difficulty. DuskEVM will be live on mainnet in the second week of January 2026, enabling developers to write with standard Solidity code and receive the privacy of Dusk using the ZKP and the settlement of Layer-1.
These ZKPs are played in partnerships. Licensed Dutch exchange NPEX has real assets of more than EUR300 million tokenized on Dusk. Chainlink DataLink and Chainlink CCIP utilize ZKPs to ensure the transfer of tokenized RWAs safely between chains and introduce verifiable market data. DuskTrade (launching in phases in 2026, currently waitlisted) will be based on the same ZKP foundation to conduct compliant securities trading.
Thinking of the larger picture, the ZKP application of Dusk seems a missing link. It allows finance to go on-chain without any coercion between privacy and legality. It is gradual, viable development that may result in an increased institutional involvement.
What do you believe might ZKPs such as these become normalised in regulated DeFi within the next two years?
Have you attempted to look at Hedger or the NPEX tokenized assets?
@Dusk $DUSK #dusk

I have been chatting with some devs lately about what it is actually like to build on @Plasma and I wanted to share my take on real developer use cases. This is not just theory. I have seen how this chain’s design makes certain things click in ways other networks do not. Let me walk you through it like we are grabbing tea and talking shop.
Plasma stands out because it is a full EVM compatible Layer 1 but every part is tuned for stablecoin flows. Devs do not fight the chain. They work with it. Tools like Hardhat Foundry and MetaMask plug right in without major rewrites.
One strong use case I have followed closely is payment processing apps. Think remittance tools or payroll systems. With zero fee USDT transfers built into the protocol through the paymaster contract users can send stablecoins without worrying about gas. The app can sponsor fees or users can pay directly in stablecoins. I have spoken with teams integrating this for cross border payouts. It works smoothly for merchants paying remote teams or families sending money home.
Another practical area is DeFi protocols centered on stablecoins. Builders are launching lending vaults yield strategies and credit markets that stay fully dollar denominated. Plasma’s throughput of over one thousand transactions per second with sub second blocks keeps these systems responsive even during heavy usage. Confidential transactions add an extra layer of privacy which matters for business treasuries that do not want every detail visible on chain.
Card integrations are also taking shape. Builders are using Plasma to launch stablecoin backed cards for real world spending. Settlements happen instantly and SDKs make it easy to connect fiat on ramps and off ramps. This turns stablecoins into usable money rather than passive holdings.
For treasury and invoicing tools the custom gas model is a big advantage. Devs can whitelist stablecoins for fees so users never need to hold $XPL separately. Costs stay predictable and aligned with stablecoin usage.
Some teams are experimenting with the Bitcoin bridge as well. BTC can be brought in and used as collateral inside EVM contracts for stablecoin loans or derivatives. The bridge is trust minimized which adds confidence for builders working with larger values.
From what I have seen and heard during testing the appeal is simplicity for payment focused applications. There is no need to stack extra layers just to reach usable speed. Wallets integrate quickly and ecosystem grants help teams move from idea to launch.
It is still early but these use cases feel grounded and realistic. Remittances payroll lending cards and treasury tools all benefit from Plasma being stablecoin native by design.
If you are a dev exploring stablecoin applications the @undefined documentation is clear and practical. Start small deploy something simple and see how it feels. $XPL #Plasma #plasma