Vanar
@Vanarchain
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Following
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The intelligence layer for onchain applications. AI changed the rules.
Joined November 2020
Execution worked when humans were the users. It breaks once agents take over. Our COO Ash (@AshVanar) explains why stateless systems hit a hard ceiling and what has to change next.
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Model Context Protocol lets your tools talk to myNeutron securely. → No copy-pasting → No context windows wasted → No re-explaining Your workflow stays continuous across tools. Learn more: https://t.co/Xur4y2NZ9u
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One of these workflows respects your time. The other makes you a human copy-paste machine. Which one are you living in? Choose your reality: https://t.co/zFQ47xdSkB
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Our Head of Ecosystem, @iffykhan004, had an amazing time on the AMA with @web3_whale001 today. The convo focused on builder essentials. Continuity, usable context, no resets.
TODAY 🔥 AMA SESSION Everyone’s racing to brand themselves as an AI chain. This AMA is about why that framing is already outdated. Also we'll be having a special guest with us live 🗓 Date: 26th Jan ⏰ Time: 12pm UTC Pull up, ask questions, and invite your friends this one’s
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Infrastructure that survives autonomy wins. Usage replaces narratives. Memory, reasoning, and execution stop being features and become the system. Thanks to everyone pushing Vanar into real territory.
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Usoro (@UsoroEmmanuel) traced Vanar’s shift from a speed-focused L1 narrative to a fully operational AI-native stack. With myNeutron live and real workflows running, builders now ask how to plug in, not whether it works. Full breakdown 👇 https://t.co/65mTUrjAaS
1/6 Last year, the market labeled @Vanarchain as an L1 promising speed and low costs in a field of interchangeable chains. 💹 That framing made sense then. TPS metrics dominated discussions, even as real value shifted toward memory, reasoning, automation, payments, and
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Tino (@JustTinoGG) reframed the question entirely. It’s no longer where do I deploy? But how do I integrate into an AI-native stack? Vanar is already operating in that future. Full breakdown 👇 https://t.co/11a9fKiAC4
The market still frames Vanar as “another L1.” That assumption is outdated L1s still matter, but the problem Vanar is solving no longer fits that box. Build a chain → wait for developers → hope apps show up. That model changes when AI become the primary users.
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AvaxGuy (@avaxguy) explained why Vanar isn’t competing in the L1 speed race. Data, logic, and execution live in one system. Neutron for data, Kayon for rules, Axon for execution, no glue code required. Full breakdown 👇 https://t.co/0mSPwjcfbw
Most people still think of @Vanarchain as “another L1.” That framing misses what it actually is: a system designed to handle data, logic, and execution as one flow not isolated pieces.
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Scotex (@SCOTEX111) framed the real AI bottleneck as “memory.” myNeutron fixes AI amnesia by making context portable across models. Less re-explaining. More compounding work. Full breakdown 👇 https://t.co/LWoq83y7D2
Stop re-explaining your work to AI every time you start a new chat. Standard AI has the memory of a goldfish, but @myNeutron_ai is fixing "AI Amnesia" . By using Neutron Seeds, your data and context become permanent, portable, and cross-platform. Whether you’re switching from
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Vida (@web3vida) broke down why ecosystems don’t grow from promises. Vanar didn’t wait for builders. It shipped its own killer app, stress-tested the stack in public, and let usage do the talking. Full breakdown 👇 https://t.co/42FPo2ZXIT
Most chains launch and hope builders show up. They promise tooling, they promise support, they promise the future. @Vanarchain took a different route, it didn’t wait for builders, it built the killer app itself. 🧵🪡
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Koyum (@Koyum_1) pointed to one of the most overlooked mechanics in crypto. A burn flywheel tied to real AI usage. With myNeutron, everyday actions trigger on-chain burns, scarcity driven by demand, not speculation. Full breakdown 👇 https://t.co/zbcFQo99qg
This might just be the most underrated burn flywheel in the crypto world The concept is pretty straightforward: People engage with AI → tokens get burned automatically → supply shrinks → long-term value rises. What’s crucial is understanding the reason behind the usage.
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Imy (@Imy191Man) explained why “adding AI later” almost always backfires and retrofitting intelligence fights old architecture. Vanar took the harder path: building AI-first infrastructure from day one, with usage, driving $VANRY. Full breakdown 👇 https://t.co/NL8AyLGKrp
Why “just slap AI on later” almost never actually works 😅 Sounds tempting, right? Chain’s already live, users are there, revenue’s flowing — why not just layer AI on top and call it a day? Feels logical… until you zoom in on the details. Here’s the brutal truth: 👇 AI hates
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Edward (@Edward74470934) highlighted why most AI × blockchain systems fail once humans leave the loop. The problem isn’t the model, it’s the fragmented infrastructure. Vanar stands out by treating memory, reasoning, and automation. Full breakdown👇 https://t.co/iMLRhdBxS3
Why most AI x blockchain demos fail at the infrastructure layer Most AI x blockchain projects look impressive in demos. Very few survive real usage. The reason is rarely the model. It is almost always the infrastructure. Most systems today treat AI as an external service.
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AI × blockchain sounds convincing in demos. It only becomes real when systems hold up under autonomy, load, and real users. Here’s how builders and operators are breaking down what Vanar is actually doing 👇
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Vanar is being explored, built on, and explained in the open. If you’re already contributing thoughtful content around how it works, this is a good way to have that effort recognized, with @binance Square helping surface that work.
Grab a share of 12,058,823 @vanarchain VANRY token voucher rewards on CreatorPad! 👉 https://t.co/WaULgWIn4r
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The next ceiling in AI isn’t speed or scale. It’s amnesia. Our CEO @jawadvanar breaks down why systems that forget can’t compound, can’t explain decisions, and don’t survive real usage. Worth the read, link in the comments 👇
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