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#Vanar @Vanarchain $VANRY
Vanar feels like it was designed by people who’ve watched real users hit the same wall again and again in Web3. Someone gets curious, clicks a link, and suddenly they’re asked to install a wallet, save a seed phrase, switch networks, and understand gas. Most people aren’t “anti crypto.” They’re just not willing to do homework before they can enjoy something. Vanar’s whole vibe is shaped around that truth. It’s trying to be a Layer 1 that doesn’t force you to become a crypto expert just to participate.
A big part of Vanar’s identity comes from its roots in gaming, entertainment, and working with brands. That background matters because those industries are ruthless about user experience. In games, if something feels slow or confusing, players leave. In entertainment, if a flow feels annoying, people move on in seconds. So Vanar’s mission isn’t only about being fast or cheap on paper. It’s about removing friction in the places that actually stop mainstream adoption. The goal is to bring billions of people into Web3 through products they already understand, and let the blockchain do its job quietly in the background.
Technically, Vanar is an EVM-compatible Layer 1, which is basically a way of saying it speaks a language developers already know. That’s a practical decision. It means builders don’t have to learn everything from scratch to ship on Vanar. They can reuse familiar tools, patterns, and smart contract ideas. And in Web3, that matters more than hype. When developers can build quickly and confidently, applications show up faster. When applications are easy to use and actually fun, users show up naturally.
Vanar also tries to present itself as more than just a chain. It talks like a full stack, not a single-layer network. The chain is the base, but it also points to extra layers that are meant to help apps store information, understand information, and eventually automate actions around that information. You can think of it like this: instead of being only a place where tokens move and contracts run, Vanar wants to be a place where real consumer apps can live and grow, with tools that feel ready for modern experiences.
One of the most important promises Vanar makes is predictable fees. For a normal person, random fees are confusing and frustrating. For a business, unpredictable costs are worse, because you can’t plan a product if your costs can spike without warning. Vanar’s approach aims for fixed-fee behavior so common actions stay consistently low and easy to understand. The idea is simple: everyday activity should feel like pocket change, and the network should discourage abuse without punishing normal users.
That promise sounds easy, but it’s not. Predictable fees require the network to stay balanced under real conditions: price changes, user spikes, spam attempts, and everything else that hits a live chain. If Vanar can keep fees stable while traffic grows, that’s a real win for mainstream adoption. If it struggles, users will feel it immediately, because fees are one of the first things people notice when a product stops feeling smooth.
On the security and governance side, Vanar’s early direction is about stability first and broader decentralization over time. It frames validator participation through a reputation-focused model, meaning the network leans toward known operators, especially early on. That’s a very real-world approach. Brands and consumer apps don’t want infrastructure that feels unpredictable. They want reliability. They want confidence that the chain will behave like serious plumbing, not like a fragile experiment.
At the same time, the crypto world asks hard questions for a reason. People want to know who controls the network today, how decisions are made, and whether decentralization becomes more real as time goes on. Those questions aren’t just criticism. They’re the natural result of a space that has seen too many promises and too many shortcuts. If Vanar wants long-term trust, it will have to show progress, not just say the right words.
Where Vanar feels most “human” is in how it treats onboarding as the main product. Most mass adoption won’t come from teaching people about blockchain. It will come from letting people use something they enjoy, and making ownership feel natural rather than complicated. That’s why Vanar leans into modern wallet experiences and account abstraction ideas, so apps can offer smoother sign-up and usage flows. In simple terms, it’s about making wallets feel less scary and more like something you can just use.
This is also why Vanar’s ecosystem story keeps coming back to mainstream verticals like gaming, metaverse-style experiences, and brand solutions. The chain wants users to enter through familiar doors, not through complicated finance-first interfaces. People are far more likely to join because a game is fun, a collectible unlocks something meaningful, or a community experience feels real. Once they’re inside, the blockchain can quietly handle ownership, transfers, and records in the background.
Tokenomics sits underneath everything like a heartbeat. Vanar’s token powers the network, pays for transactions, and supports incentives that keep validators and infrastructure operators doing their job. There’s also a history behind the token, tied to a rebrand and a swap from an earlier identity. That matters because communities remember their history. They remember how transitions happened, how supply was framed, and what the long-term plan looked like. A chain that wants mainstream adoption still needs credibility in the crypto-native world, because that’s where early builders and liquidity often come from.
The hardest truth is that Vanar’s success depends on boring consistency. Not exciting announcements. Not flashy slogans. Boring consistency in the things normal users care about: fees that don’t surprise them, transactions that don’t fail, onboarding that doesn’t feel like a trap, and apps that don’t collapse after the first hype wave. If Vanar can stay stable while scaling up real usage, it becomes more than another L1. It becomes infrastructure people can rely on.
The “AI-native” direction is another big test. It can become real value if those extra layers turn into tools developers genuinely use to build better experiences. But it can also become noise if it stays abstract or feels like marketing more than utility. The difference will be obvious in the results: real integrations, real developers building with those layers, and real apps shipping features that feel better because the stack exists.
If you strip everything down, Vanar’s bet is simple and serious. The next wave of adoption won’t happen because people suddenly fall in love with blockchain. It will happen because people fall in love with experiences, games, entertainment, communities, and products that feel effortless. Vanar is trying to be the quiet engine behind those experiences, where the technology is powerful but doesn’t demand attention. If it can deliver that, it has a real shot at being a chain that makes sense outside the crypto bubble.

#plasma @Plasma $XPL
Plasma is a Layer 1 blockchain built with one main goal: make stablecoin transfers feel like normal payments. Not like a crypto chore where you first hunt for a gas token, worry about congestion, then wait and hope your transaction settles cleanly. Plasma’s whole personality is stablecoin settlement. It wants to be the place where digital dollars move quickly, cheaply, and predictably, especially in markets where stablecoins are already used every day for saving, sending, and paying.
What makes Plasma stand out is that it doesn’t start by saying “we’re a general chain for everything.” It starts with a much more practical question: if stablecoins are becoming the real working currency for millions of people, what kind of base layer do they deserve? Plasma’s answer is an EVM compatible network that uses a fast consensus system called PlasmaBFT for near instant finality, and stablecoin-first features like gasless USDT transfers and paying fees in stablecoins instead of forcing users to hold a volatile native token just to move money.
Under the hood, Plasma is designed to feel familiar to builders. It’s fully EVM compatible and uses a high performance Ethereum execution client (Reth). That matters because payments are not only transfers. Real payment apps need logic: invoices, subscriptions, payroll batching, escrow, refunds, spending limits, and merchant checkout flows. EVM compatibility makes it easier for teams to build these things without learning a totally new smart contract world, and it makes the ecosystem easier to grow because developers can reuse proven tools and patterns.
The reason Plasma is trying to push sub second finality is simple: finality is emotional in payments. People don’t want “it might be done soon.” They want “it is done.” Fast finality changes the entire feel of stablecoins. It makes stablecoin settlement closer to instant transfers in fintech apps rather than the slower confirmation cycles people associate with blockchains. If Plasma can consistently deliver quick finality at scale, it can make stablecoin usage more natural for daily commerce instead of just large transfers.
Plasma’s stablecoin-native features are the real product story. Gasless USDT transfers are meant to remove the classic onboarding friction where someone has stablecoins but can’t move them because they don’t own the chain’s gas token. Stablecoin-first gas is meant to make fees feel like part of the same money experience, not a separate asset problem. In the best case, a user holds stablecoins, pays fees in stablecoins, and never has to think about “fuel” tokens at all. That’s a big deal for adoption because most people don’t want to manage multiple balances just to do a simple transfer.
Plasma also talks about Bitcoin-anchored security as a way to strengthen neutrality and censorship resistance. In normal words, that means it wants the chain’s history to be harder to rewrite and harder to pressure. If stablecoins become truly global money infrastructure, the settlement layer underneath them becomes sensitive. The more value moves through it, the more important it is that no single actor can easily bend it. Anchoring ideas try to give the chain a longer-horizon security foundation, so it can grow into a more neutral rail over time.
Tokenomics on Plasma revolve around XPL, the network token. In many chains, the native token has two big jobs: pay for network resources and secure the network through validator incentives. Plasma is trying to hold a difficult balance. It wants the chain to have a strong economic backbone, but it also wants users to experience stablecoin payments without being forced to hold volatile tokens. That’s why the design leans toward stablecoin-first gas for users, while XPL supports the deeper network economics and validator incentives in the background.
Plasma’s tokenomics outline a large supply with allocations for community growth, core contributors, and investors, with vesting schedules designed to reduce immediate sell pressure and align the project over time. It also includes an emissions plan that starts higher and slowly trends down, plus a fee burn model that links usage to supply dynamics. The important human takeaway is not the exact percentages. The important takeaway is that the chain is trying to fund security and growth while still keeping stablecoin UX simple. Whether that balance works depends on real usage, not only design.
The ecosystem challenge is where Plasma either becomes real or stays theoretical. A settlement chain doesn’t win because it can produce fast blocks. It wins because it gets integrated into wallets, payment apps, exchanges, and on and off ramps. Plasma needs wallets that make stablecoin-first gas feel invisible, bridges that are safe enough for serious money, liquidity providers that keep markets efficient, and real applications that drive everyday transfers. Retail users need simplicity and low costs. Institutions need reliability, deep liquidity, and integration that fits real compliance and risk frameworks. Serving both is a huge opportunity, but it also means Plasma has to execute cleanly across multiple worlds.
Plasma’s roadmap feels like a staged rollout approach. Early phases are about proving the chain’s stability and performance in the real world. The next phases are about turning stablecoin-native features into default behavior so the user experience becomes truly frictionless. Later phases are about deepening decentralization and strengthening long-horizon security properties, including validator expansion and more mature incentive systems. The most valuable roadmaps in payments are the ones that focus on reliability and integration, because that’s what real money networks demand.
The hardest part of Plasma’s vision is that stablecoin-first features can attract the wrong kind of attention. If transfers are gasless, spam and abuse become a real risk. If fees can be paid in stablecoins, the fee system and paymaster logic must be extremely robust or it can fail in edge cases. If Bitcoin anchoring and bridges are part of the future, those systems must be built like critical infrastructure because bridges are historically where the biggest exploits happen. Payment networks don’t get infinite retries. One major failure can destroy trust for years.
Plasma is ultimately trying to make stablecoins boring in the best way. Fast finality that feels instant. Fees that don’t surprise you. A user experience where sending stablecoins doesn’t require extra steps. A security story that aims to remain neutral as the network grows. If it succeeds, Plasma won’t feel like a trendy chain. It will feel like quiet plumbing that wallets and apps use behind the scenes while people just move digital dollars like money.

#Dusk @Dusk $DUSK
Dusk is a Layer 1 blockchain built for finance where privacy and rules both matter. It began in 2018 with a simple idea: markets cannot run in a glass box, but they also cannot run in total darkness. So Dusk tries to keep sensitive details private by default, while still letting the right parties prove compliance and audit activity when needed.
This matters most with tokenized real assets. A token that represents a share, a fund unit, or a bond comes with access restrictions, reporting duties, and confidentiality needs. Europe even created a “DLT Pilot Regime” so market infrastructures can test DLT-based trading and settlement, and ESMA describes categories like DLT multilateral trading facilities and DLT trading-and-settlement systems.
In 2025, Dusk made its direction clearer. On June 18, 2025 it described a modular three-layer stack: DuskDS for consensus, data availability, and settlement; DuskEVM as an EVM-equivalent execution layer for familiar smart contract tooling; and a future privacy-focused layer called DuskVM. The goal is to lower integration friction without losing the regulated-privacy focus.
On June 24, 2025 Dusk introduced Hedger, a privacy engine for DuskEVM that combines homomorphic encryption with zero-knowledge proofs. In plain terms, it aims to let apps run confidential transactions while still producing verifiable proofs, so privacy does not mean “trust me,” and compliance does not mean “expose everything.”
Tokenomics are meant to fund long-term security. Dusk documentation states an initial supply of 500,000,000 DUSK, plus another 500,000,000 emitted over 36 years for staking rewards, for a maximum supply of 1,000,000,000. This supports validator incentives, but it also means the ecosystem needs real usage and fees so emissions do not become constant pressure.
The ecosystem narrative is tilted toward regulated rails. In March 2024, NPEX said it was preparing an EU DLT Pilot Regime application with Dusk. In February 2025, Quantoz Payments announced EURQ with NPEX and Dusk as a digital euro electronic money token aimed at regulated finance operating at scale on Dusk.
Dusk has also focused on standards and connectivity. On November 13, 2025 it announced a partnership with Chainlink, describing CCIP for cross-chain interoperability and DataLink plus Data Streams for verified exchange data and low-latency price updates.
If you zoom out, the roadmap feels like a straight line: make it easy to build (EVM), make it safe to use in real markets (privacy plus proofs), then plug in the boring essentials like payments and market data. The “multi-layer” approach is basically Dusk admitting it wants to be infrastructure first, not a flashy app chain, and it wants to meet institutions where they already are.
The main challenges are real-world speed and system complexity. Regulated adoption takes time, the pilot regime uptake has been limited so far, and multi-layer designs plus bridges add security and UX risk. On top of that, Dusk must keep the privacy-versus-compliance balance, and it must grow utility faster than emissions feel heavy. If Dusk succeeds, it may feel quiet: settlement that works, payments that clear, and privacy that does not break trust.

$WAL #Walrus @Walrus 🦭/acc
Walrus is not really a “DeFi app” in the normal sense. It is closer to a decentralized storage network, built for big files. When people say big files, they mean the real stuff that apps depend on: videos, images, datasets, backups, website files, game assets, and archives. Walrus is trying to solve a simple problem that keeps showing up in Web3 and even in normal tech: most apps might use decentralized payments, but their data still sits on one company’s cloud. That creates a weak point, because one outage, one account freeze, one policy change, or one censorship decision can break everything.
The main idea is that Walrus wants storage to work like a public utility instead of a private service. You store a file, pay for it, and the network keeps it available without depending on a single server or a single provider. Walrus is designed to be censorship-resistant and reliable, not by promising “trust us,” but by building a system where many independent nodes hold pieces of your data and the network can prove the data is still being kept.
Walrus is built to work closely with Sui. The clean way to understand this is to split it into two parts. Walrus handles the heavy data work: storing and serving large blobs. Sui handles the control work: ownership records, payment logic, metadata, and onchain proofs. In other words, Walrus is like the warehouse, and Sui is like the ledger that tracks who owns what, how long it should be stored, and whether the storage was confirmed.
When you upload a file to Walrus, it does not store a full copy on one machine. Instead, it breaks the file into many smaller pieces and adds redundancy using erasure coding. Erasure coding is basically a smarter form of backup. Instead of storing multiple full copies, the system creates fragments that can rebuild the original file even if some fragments disappear. This matters because decentralized networks have real-world churn. Nodes can go offline. Operators can stop. Hardware can fail. Walrus is designed so the network can survive that normal chaos without losing data.
Walrus describes a specific encoding approach often called “Red Stuff,” which is a two-dimensional style of erasure coding. You do not need to memorize the math to understand what they are aiming for. They want the system to self-heal more efficiently, so repairs do not become a massive bandwidth drain or a constant emergency. The promise is that Walrus can handle large-scale storage while keeping redundancy costs under control and keeping recovery practical.
A key concept Walrus pushes is something like Proof of Availability. The simple meaning is that Walrus wants storage to be verifiable. Instead of a storage operator saying “yes, we stored it,” the system creates a certificate that is recorded onchain, showing that the blob is stored and meant to remain available for a specific period. This is important because it gives developers and apps a stronger guarantee. It turns storage into something contracts and systems can rely on without blind trust.
Privacy is a separate issue, and it is easy to misunderstand. Decentralized storage does not automatically mean private storage. If you upload data without encryption, you should assume it could be read by someone who gets access to it. That is why Walrus highlights an access control and encryption approach through Seal. In human terms, this is about storing encrypted data on Walrus, then controlling who can actually unlock it. That makes private datasets, gated content, confidential enterprise data, and permissioned AI data much more realistic. Walrus is storage, and Seal is the layer that helps decide who can open what.
The WAL token exists mainly to make this storage economy function. WAL is used to pay for storage, and the protocol is designed with an intent to keep storage pricing stable over time rather than feeling like a pure token casino. WAL is also tied to staking. Storage nodes stake WAL to participate, and regular users can delegate stake to nodes. This staking system helps decide which nodes become part of the active group responsible for storage, and it gives the protocol a way to reward good performance over time.
Governance also connects to WAL. Protocol systems like Walrus need a way to adjust parameters like rewards, penalties, committee rules, and other network settings. WAL staking weight is used as part of that decision-making process. The larger plan includes stronger accountability mechanisms too, such as penalties and slashing, where bad performance can cost a node money. Walrus also describes burn-style mechanics tied to penalties and slashing, meant to discourage behaviors that harm network stability, like reckless stake shifting that forces expensive rebalancing.
Tokenomics matters because it shows how the project is trying to balance growth and fairness. Walrus describes a maximum supply of 5 billion WAL, with a portion circulating early and the rest unlocking over time. The allocation is spread across a community reserve, user drops, subsidies, core contributors, and investors. Unlock schedules extend across multiple years, which is meant to shape incentives and reduce sudden supply shocks, but it also means anyone watching the token should pay attention to future unlock periods because that can affect markets and sentiment.
The ecosystem side of Walrus is where the project becomes real. Walrus is aiming to support real applications that need data storage, not just token traders. It has pushed ideas like decentralized site hosting, and also solutions for small files at scale, because many real apps are not just storing one giant file. They store millions of small things. It also pushes access control as a major step for adoption, because enterprises and serious builders usually need privacy controls and permissioning to feel safe.
Walrus drew a lot of attention because it is not a tiny experiment. It was developed in the orbit of Mysten Labs and supported by the Walrus Foundation, and it also became widely discussed after a large private token sale led by Standard Crypto, with reported participation from major names like a16z crypto and Electric Capital, and coverage in Fortune. That kind of funding does not guarantee success, but it does show why so many people started watching it as “serious infrastructure.”
The challenges are also serious. Decentralized storage has to compete with cloud providers that are extremely good at speed, reliability, and pricing. If retrieval feels slow, users will leave. The economics must survive beyond early subsidies, because incentives that look good in the beginning can break when real costs show up. Decentralization must be protected over time, because stake and power tend to concentrate into a few large operators unless incentive design truly prevents it. Privacy systems bring their own dangers too, because encryption is only as safe as the key management and access rules around it.
If Walrus succeeds, it becomes the kind of infrastructure people stop talking about because it just works. Apps will store their real data there, prove it exists, manage it through smart contracts, and use access control tools when needed. If it fails, it will likely fail the way many ambitious networks fail: the user experience stays too hard, performance never feels “cloud-level,” incentives do not hold when subsidies fade, or the system centralizes quietly until the original promise disappears.

#Walrus @Walrus 🦭/acc $WAL
Walrus is not just “another crypto coin.” It is mainly a decentralized storage and data availability network built for large files. The WAL token is the fuel that helps the network run, rewards storage operators, and lets the community take part in governance. Walrus is closely connected to the Sui ecosystem, because Sui is used as the coordination layer where important storage actions and guarantees are tracked.
The easiest way to understand Walrus is to compare it to normal cloud storage. With traditional cloud storage, one company controls the servers and the rules. With Walrus, storage is spread across many independent operators, so no single party owns the system. The goal is to keep data available even if some machines go offline, some operators disappear, or network conditions get messy.
Walrus is designed for the type of data blockchains struggle with: big files. That includes images, videos, game assets, documents, archives, AI datasets, and app media. Most blockchains are not meant to store huge amounts of raw data directly, because it becomes too expensive and inefficient. Walrus exists to handle big data while letting apps keep a decentralized foundation.
When you upload a file to Walrus, the network treats it as a “blob,” meaning a large binary object. Instead of storing the whole blob on one machine, your file is encoded into many smaller pieces, often called slivers. These slivers include redundancy, meaning the system does not need every single piece to rebuild the original file later. This is the core idea that makes Walrus resilient: it can lose some parts and still recover the full data.
Walrus uses a special erasure coding approach called Red Stuff. In simple words, this is the “smart redundancy” method Walrus uses to reduce waste while keeping strong reliability. The design aims to make repairs efficient when nodes go offline or pieces are lost. In decentralized storage, repair cost is a huge deal, because nodes naturally churn, and the network must constantly heal itself to avoid losing data. Walrus claims Red Stuff helps the system stay robust under churn without needing extreme replication.
Walrus also has a very important concept: there is a moment when the network takes responsibility for the blob’s availability. Walrus calls this a “Point of Availability.” Before that point, you are still in the process of distributing and confirming storage. After that point, Walrus is responsible for keeping the blob retrievable for the time window you paid for. This makes the system feel more practical for real apps, because you can reason about when the network is actually guaranteeing availability.
A big part of Walrus’ architecture is how it uses epochs and committees. An epoch is a time window. During each epoch, a selected group of storage operators is responsible for maintaining blobs. This structure helps the network coordinate who is responsible at any given time, manage rewards, and handle changes in the operator set over time. Walrus’ own network schedule materials describe different epoch durations for testnet and mainnet, which shows how the network’s pacing is designed for stability in production.
Now, about privacy: this is where a lot of summaries get confusing. Walrus is mainly focused on availability and integrity, not automatic secrecy. Walrus documentation explains that data stored on Walrus is public by default and can be accessed by anyone who knows how to fetch it, so confidentiality requires encryption or extra layers. In practice, if you want privacy, you encrypt the data before uploading, and only share decryption access with authorized users. Walrus points to related tools like Seal and Nautilus for privacy-friendly patterns, but the key point remains: privacy is something you add on top.
WAL tokenomics starts with what the token is used for. WAL is used to pay for storage, because the network needs a real economic system to reward operators who store and serve data. WAL is also used for staking, which is how the network selects and incentivizes storage operators. WAL holders can delegate their stake to operators, and operators earn rewards based on participation and performance. WAL is also used for governance, meaning token holders can help decide protocol parameters over time.
Walrus has publicly described the token supply and allocation. According to Walrus’ token page, WAL has a maximum supply of 5 billion and an initial circulating supply of 1.25 billion. The allocation includes a large community reserve, a user drop, subsidies, core contributors, and investors. Unlock schedules extend years into the future for some categories, which is important because it affects how circulating supply may grow over time and how incentives are funded long-term.
Walrus’ ecosystem focus is mostly about apps that need real content storage. This includes hosting websites, storing media libraries, supporting gaming assets, and powering AI and data-heavy applications. Walrus has also highlighted efficiency improvements for small files through a tool called Quilt, which bundles many small files into a single structure to reduce overhead and cost. This matters because small files can be surprisingly expensive in decentralized networks due to per-object overhead, and Quilt is meant to make Walrus more usable for everyday developer needs.
On the roadmap side, Walrus has moved through major phases: early previews, public testing, and mainnet launch. Its mainnet announcement states a public launch in March 2025. From there, roadmap direction is about scaling reliability, strengthening incentives, improving developer tools, and expanding privacy-friendly integrations through companion systems. The Walrus Foundation has also used builder programs and RFP-style funding efforts to grow the ecosystem, which signals that adoption and developer momentum are a major priority.
Finally, the challenges. One challenge is that many people misunderstand what Walrus provides by default. Walrus can keep data retrievable and verifiable, but it does not magically make data private. Builders must handle encryption and access control seriously. Another challenge is long-term incentive design: storage networks must constantly keep operators honest and reliable, and the details of rewards and penalties matter a lot. Governance concentration is also a risk in any stake-based network, because large stakeholders can influence decisions. And of course, competition exists in decentralized storage, so Walrus must continue proving real-world performance, predictable costs, and strong developer experience to win adoption beyond cry#pto-native experiments.