Walrus (WAL)

$0.06750  +0.73%  24H

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Publicaciones de X

  • Kostas Kryptos Dev Researcher S
     28.44K  @kostascrypto

    Will work on @WalrusProtocol optimizations and features my night hours 🦉 this month, mostly targeting useful ideas for AI agents, some of them crazy

     196  22  5.29K
    Leer original >
    Tendencia de WAL tras el lanzamiento
     Alcista
    The author will optimize the Walrus protocol at night, exploring new AI features
  • Philose 🦭 OnChain_Analyst DeFi_Expert B
     5.98K  @Philose
    Walrus 🦭/acc D
     413.01K  @WalrusProtocol

    🚨 ICYMI: The boosted WAL vault on @SlushWallet Strategies is here to stay. The countdown is over. Boost is permanent. 🦭

     111  14  4.73K
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    Tendencia de WAL tras el lanzamiento
     Alcista
    WAL vault permanent boost expected to stimulate returns
  • Stacy Muur FA_Analyst OnChain_Analyst B
     77.60K  @stacy_muur

    I posted about @WalrusProtocol 2 weeks back. While drafting that, I came across a research paper they dropped in April. Finally sat down with it. TL;DR ↓ • Every decentralized storage network has the same problem: How do you keep data safe without making 25 copies of everything? • Arweave: Just make 25 copies. Safe, expensive. • Storj/Sia: chop files into pieces, 3 copies worth. Cheap, but if a node dies you have to download the whole file to rebuild its piece. Brutal at scale. • Walrus: 4.5 copies worth, but when a node dies, the replacement only downloads a tiny fraction of the file to rebuild what was lost. • Imagine the file as a grid instead of a list. Each node holds one row and one column. Lose a node and the new node grabs one cell from each surviving node, enough to mathematically reconstruct the missing row and column. When storage nodes swap in or out, most protocols pause writes during the handoff. Walrus doesn't. New writes go to the new nodes, old reads stay with the old. Every file is

    Stacy Muur FA_Analyst OnChain_Analyst B
     77.60K  @stacy_muur

    Imagine an AI agent kept a diary: Monday: "Started new project with user. Seems cool." Tuesday: "Started new project with user. Seems cool." Wednesday: "Started new project with user. Seems cool." This is how most production AI agents work today: no real memory between sessions, no awareness that you’ve talked before. @WalrusProtocol spent its first year on mainnet fixing this. Here's a quick TL;DR of their progress ↓ 1. What got built in 12 months → 510+ TB stored (passed Arweave's 385 TB inside a year) → 200+ projects building on it → 2nd-largest decentralized storage protocol by volume → Core research paper accepted at ACM CCS 2026, a rare academic stamp for any blockchain project → Zero downtime since day one The interesting stuff is what they built on top of it. Seal → Lets you encrypt data and control who can read it, enforced onchain. Made Walrus usable for healthcare records, financial data, and private AI datasets that can't sit on a public network. Quilt → Bundles small files together to ma

     85  30  10.08K
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    Tendencia de WAL tras el lanzamiento
     Extremadamente alcista
    The Walrus protocol solves the efficiency problem of decentralized storage with innovative technology, outperforming existing solutions such as Arweave.
  • ኔፋሪ (ProgFi arc) Community_Lead DeFi_Expert B
     16.50K  @Nefarii
    DESMOND.Sui(arc of arc) D
     4.28K  @defi_funds1

    Super excited for how we are going to contribute to on-chain finance at @Sentra_fi HQ It’s not just about making money, but about building a sustainable wealth with money. Via automated discipline. An average user can now build a: -Personal crypto reserves. -Own a structured savings portfolio on-chain. -Set a financial target for: trips, vacations, a house, car or a business acquisition. -Someone out there can hedge against inflation using stablecoin assets pegged 1:1 to a higher currency like dollars etc… And many more you can do. And this is just the beginning. Think of a piggy bank, but on-chain! Want to know what it looks like?: up to 12% APY if you create a $WAL reserve on Sentra. Shout out to folks like: @iamkjess @doncurrent @OLUDCUTZ @cryptfi_Mariano @0xPain__ @0xFuego_ @Ossybadman and many folks who already understood the mission. Alpha spill: Deposit with local currencies and a…👀. Just pay attention and stay positioned on: https://t.co/LuwPYTM0k7

     27  9  776
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    Tendencia de WAL tras el lanzamiento
     Alcista
    Sentra launches WAL reserve, offering up to 12% annualized return
  • DBCrypto Security_Expert Educator S
     17.07K  @DBCrypt0

    Staked $WAL natively since day 1 One year later: ~17 WAL earned. That's $1.50. Meanwhile other pools hit 100%+ APY. Some offer 28% right now. When do native stakers actually see the benefits that were promised? 🤨 https://t.co/rRClDOWNa7

     97  18  7.31K
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    Tendencia de WAL tras el lanzamiento
     Bajista
    The author is disappointed that native staking of WAL for a year only yielded $1.50, questioning its value as far lower than other high‑APY staking pools.
  • Philose 🦭 OnChain_Analyst DeFi_Expert B
     5.98K  @Philose
    Philose 🦭 OnChain_Analyst DeFi_Expert B
     5.98K  @Philose

    $WAL is up over 22% in the last 24 hours 🦭 When $0.1 https://t.co/cufzO11u5s

     51  13  8.25K
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    Tendencia de WAL tras el lanzamiento
     Alcista
    WAL jumps over 22% approaching $0.1, SUI also rises.
  • Philose 🦭 OnChain_Analyst DeFi_Expert B
     5.98K  @Philose

    $WAL is up over 22% in the last 24 hours 🦭 When $0.1 https://t.co/cufzO11u5s

     51  13  8.25K
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    Tendencia de WAL tras el lanzamiento
     Extremadamente alcista
    WAL token up more than 22% within 24 hours, approaching $0.1, SUI also rose.
  • yuppi.sui Community_Lead Educator A
     9.02K  @yuppidotsui

    Let's make $Wal Great again 🦭 SEND ITT🚀 https://t.co/FU8pKn6f3i

    MrBreadSmith D
     16.17K  @MrBreadSmith

    Walrus Campaigns at @binance finally comes to an end 🦭 - Invite campaigns with $WAL rewards ended last month - The Boosted locked staking with 24.8M $WAL rewards ends in 11 days Finally an end to 132M $WAL payout for campaigns. Let's make @WalrusProtocol Great again 👊 https://t.co/ymtvUODDLa

     66  8  2.68K
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    Tendencia de WAL tras el lanzamiento
     Extremadamente alcista
    WAL price spiked sharply after massive token reward campaigns ended, market sentiment extremely bullish.
  • 0xPain FA_Analyst DeFi_Expert B
     7.43K  @0xPain__

    ‼️JUST IN: $WAL just reclaimed $0.10 after 3 months 🌊

     53  15  1.66K
    Leer original >
    Tendencia de WAL tras el lanzamiento
     Extremadamente alcista
    WAL token reclaimed $0.10 after three months, the chart shows a strong upward rally.
  • DeFi Warhol DeFi_Expert OnChain_Analyst B
     52.01K  @Defi_Warhol

    The agentic space has a memory problem. Let's say an agent running your treasury made a trade in March, and it turns out to be a bad trade by October. Just knowing an agent bought ETH or SOL doesn’t explain why it made that trade. To see the full picture, you'd need: → What it prioritized or filtered out → Proof that the memory hasn't been tampered with → The exact memory the agent had at the moment of the decision I saw an example of this when @WalrusProtocol released NemoClaw and OpenClaw integrations for MemWal last week. It keeps a full record of what the agent saw, how it reasoned, and which tools it called. This is important if a bad call needs to be traced back to its source. Especially if real money is involved. Verifiable memory > persistent memory. Disclosure: I'm a $WAL holder.

    Walrus 🦭/acc D
     413.01K  @WalrusProtocol

    Agents forget everything between sessions, which means that they can't build on past work, and you can't really hand them anything that takes more than one shot. Our new plugin for NemoClaw and OpenClaw fixes that memory problem. Agents save structured memories to Walrus and pull them back next run. Workflow checkpoints happen automatically. 🦭

     39  25  4.41K
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    Tendencia de WAL tras el lanzamiento
     Alcista
    The tweet points out a memory problem in AI agent trading, emphasizes the importance of verifiable memory, and mentions Walrus Protocol's solution.