walrusprotocol

@Walrus 🦭/acc (Walrus Protocol)
@Walrus 🦭/acc (often referred to simply as @Walrus or WAL) is a decentralized data storage network built for the modern Web3 and AI era. It aims to replace traditional centralized storage (like cloud providers) with a trust-minimized, secure, programmable, and efficient distributed storage system.
📦 What #Walrus Protocol Does
Walrus enables developers, applications, and users to store large unstructured data (“blobs”) — such as:
Videos, images, and PDFs
NFT content
AI model datasets
Game assets and other rich media
…in a decentralized way where no single company controls your data.
It’s designed to be:
Secure and resilient — even if many storage nodes go offline, data stays available.
Cost-efficient — using advanced encoding techniques to reduce storage overhead.
Programmable — storage can be integrated into smart contracts and applications for real Web3 use cases.
⚙️ Key Technology
🧠 Built on the Sui blockchain:
Walrus uses Sui as its base layer to coordinate and verify storage operations.
📊 Red Stuff Encoding:
A novel data encoding algorithm that breaks files into “slivers,” distributes them across nodes, and allows recovery even if many nodes fail. This cuts costs and boosts reliability.
💡 Programmable Storage:
Stored data is treated like blockchain objects, meaning applications can reference, control, and build logic around the stored files.
💰 The $WAL Token
$WAL is the natve utility token of Walrus and is central to how the network operates:
💳 Payment Token: Users pay WAL to store data on the protocol.
📊 Staking & Security: Storage nodes stake WAL to participate and earn rewards.
🗳 Governance: Token holders vote on protocol parameters and upgrades.
🔥 Burn Mechanism: Some fees are burned to introduce deflationary pressure and align inc
Maximum supply: ~5 billion WAL
Initial circulating supply: ~1.25 billion WAL
Large portion (~60 %) allocated to community incentives, reserves, and subsidies.DYOR
@Walrus
#WalrusProtocol
$WAL

When Walrus first launched, it changed how people looked at blockchain storage. For the first time, users could store files directly on-chain. Images, videos, documents, and other data could live on a public network without a central server. Anyone anywhere could access that data. It felt simple, open, and powerful.

Walrus showed that blockchains could handle real data, not just transactions. Files were stored safely and could be reached from anywhere. There was no single company in control. This made Walrus feel like a big step forward for Web3 storage.

But one major issue quickly became clear. All data on Walrus was public.

Blockchains are open by design. This is good for trust and transparency. But it creates problems when users want privacy. Not every file should be visible to everyone. Personal records, business files, private messages, and creative work need protection.

This is where Seal comes in.

Seal is now live on mainnet, and it solves this problem in a simple way. Seal brings privacy to Walrus without breaking the open nature of the blockchain. It allows users to store private data on public chains while staying in control.

With Seal, files are still stored on Walrus. The difference is that the data is encrypted. Only people with permission can read it. Others may see that data exists, but they cannot understand or use it.

Seal makes private storage possible on public networks.

The system works by encrypting data before it is stored. Access rules are set by the owner. These rules decide who can view the data and when. Permission can be given or removed at any time. This gives users full control over their files.

Seal also works well with apps and smart contracts. Developers can build systems where access changes based on rules. A file can unlock after payment. Access can expire after a set time. Files can be shared with one user or many.

This opens many real use cases.

Teams can store private work files on-chain. Creators can protect digital art or content. Games can store player data safely. Apps can handle user records without relying on central servers.

Seal does not change the open nature of blockchain. It adds a privacy layer on top. This keeps transparency where it matters while protecting sensitive data.

Another key benefit is trust. Users do not need to trust a company to protect their files. Security comes from encryption and rules enforced by code. Ownership stays with the user at all times.

Seals also fit naturally into the walrus ecosystem. It does not replace Walrus. It improves it. Walrus handles storage and access. Seal handles privacy and control.

With Seal live on mainnet, developers and users now have a complete system. They can store public data when openness is needed. They can store private data when privacy matters.

This balance is important for the future of Web3.

Public chains should support both openness and privacy. Seal proves that this is possible. It brings real-world usability closer to blockchain storage.

Walrus showed that data can live on-chain. Seal shows that private data can live there too.

This is a big step toward a more useful and human Web3.

#WalrusProtocol @Walrus 🦭/acc $WAL

Zark Lab has started a new partnership with Walrus. The goal is to build a simple and useful AI smart layer for content discovery access and real use. This partnership focuses on helping people find and use data more easily without extra work.

Zark Lab is a blockchain based AI platform. It is built to improve how AI agents work on chain. By working with Walrus Zark Lab becomes the main AI solution for content discovery and access on Walrus. Developers who build on Walrus will now get automated upgrades for their data without doing manual work.

The core feature of this partnership is an AI powered publishing system. When a file is uploaded to Walrus the system automatically adds useful metadata. This means files become searchable organized and ready for AI use right away. Developers do not need to tag files or create structure by hand. The system does it for them.

This makes life easier for builders and users. All uploaded data can be found and used by AI agents instantly. This includes text images audio and video files. Everything works in a smooth and natural way.

The partnership also brings semantic search to Walrus. This allows users to search data using normal language. There is no need to rely on old style search methods. Users can ask questions and explore their data in a chat like way using AI agents.

Developers can also embed this feature directly into their apps. Any app built on the Walrus data layer can use this AI search and discovery system. This helps apps become more useful and more friendly for users.

Rebecca Simmonds who leads the Walrus foundation shared her thoughts on the partnership. She explained that one of the biggest problems in AI today is data discovery. AI agents are smart but data is often not labeled or structured. This makes searching slow and difficult.

With Zark Lab this problem is reduced. Every user gets a personal search experience for their own data on Walrus. They can find any file they uploaded with ease. This opens many new use cases for both individuals and companies.

The partnership turns Walrus into more than just a data storage layer. It becomes a smart data layer that understands content and helps users interact with it. AI agents can now work better because the data is easier to find and understand.

Zark Lab and Walrus together create a strong base for the future of decentralized AI. They focus on ease of use real utility and better access to data. This makes building and using AI tools on chain more natural for everyone.

This collaboration shows how AI and decentralized data can work together in a simple and human way. It helps developers save time and helps users get more value from their data.

#WalrusProtocol @Walrus 🦭/acc $WAL

Myriad integrates Walrus as its data layer to build a more open and clear prediction market

Myriad has announced a new partnership with Walrus. Through this partnership Walrus becomes the trusted data layer for the Myriad platform. This step helps Myriad move closer to its goal of building a fair and transparent prediction market where users can rely on real data.

Myriad is a Web3 based prediction and trading protocol. It allows users to take part in markets that focus on news events trends and shared beliefs. The platform connects predictions with media content so users can better understand what they are predicting. By using trusted information users can make better choices based on facts rather than noise.

Walrus plays an important role in this setup. Walrus is a decentralized data storage system built to make data easy to verify and hard to change. With Walrus all stored information can be checked by anyone. This helps reduce doubts and builds trust across the network. For Myriad this means every market result and media record can be proven as real.

Before this upgrade Myriad relied on older storage methods that were more centralized. With Walrus the system becomes more open and easier to audit. This is useful not only for users but also for builders who want to connect prediction data with other tools such as AI or DeFi apps.

The leadership team at Walrus shared that this partnership helps turn information into a real on chain asset. Each market update media post and outcome can now live on chain in a clear and verifiable way. This makes prediction markets more useful and more honest.

Myriad has already seen strong growth since launch. Millions of dollars have moved through its on chain markets. The protocol is also flexible. Other platforms can use it as a base product. Teams can connect through APIs or SDK tools and build their own front ends while using the same core system.

From the Myriad side the team believes that the future of finance and prediction is open and on chain. People want systems they can see and trust. By working with Walrus Myriad avoids the risks that come with closed storage systems and keeps its focus on long term reliability.

Looking ahead Myriad may also connect with other tools from the same ecosystem such as privacy focused services. This could help protect sensitive data while keeping results public and fair.

This partnership shows how strong data systems can improve Web3 products. When storage is clear and open trust grows naturally. Myriad and Walrus together aim to create a prediction market that feels simple fair and built for everyday users.

#WalrusProtocol @Walrus 🦭/acc $WAL $WAL