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Robinhood Chain has recently become the most talked-about Layer 2 blockchain this year, with transaction volume exceeding that of many established DEXs. It has also chosen ETH as its native gas, and all transaction fees are ultimately settled back to Ethereum L1. @get_optimum

@KenyaGreen_ 写的专业

Optimum – A Perspective on On-Chain Finance’s Performance Bottlenecks As more financial activities migrate on-chain, blockchains must do more than just pursue "speed" to support large-scale real-world economic activity; they must accelerate while preserving decentralization. The issue boils down to a critical infrastructure challenge: the true bottleneck for blockchains lies not merely in the execution layer or gas costs, but in data propagation, state access, and "on-chain memory" capabilities. As the financial world accelerates its move on-chain, blockchains require a layer of genuine "high-performance memory." Stablecoin payments, on-chain trading, RWAs (Real-World Assets), DeFi, derivatives, prediction markets, and asset issuance and settlement are transforming blockchains from simple "asset transfer networks" into complex financial infrastructure. The industry has invested heavily in scalability over the past few years. Solutions such as Layer 2, parallel execution, data availability, modular architecture, state compression, blobs, and P2P network optimizations have all improved throughput, costs, or data publication efficiency at various levels. However, Optimum takes the argument a step further: many existing solutions merely optimize symptoms rather than re-engineering the underlying data flow. Most blockchains today still rely on relatively inefficient data propagation methods. Nodes must constantly synchronize blocks, transactions, and state information, resulting in a network rife with redundant transmissions, accumulated latency, and wasted bandwidth. For the average user, these issues ultimately manifest as: Slower transaction confirmations; Rising fees during peak periods; Unstable dApp responsiveness; Increased operating costs for validators and nodes; Difficulty in successfully deploying high-performance applications. For financial applications, the problem is even more severe. Trading, market making, clearing, derivatives, on-chain order books, and real-time risk management are all extremely latency-sensitive. If underlying data propagation is slow, on-chain finance struggles to match the real-time experience offered by traditional financial systems. Optimum’s Solution Optimum positions itself as a decentralized, high-performance memory infrastructure for blockchains. According to project documentation, Optimum utilizes Random Linear Network Coding (RLNC) to accelerate data propagation, reduce latency, and enhance the efficiency of on-chain state read/write operations. Simply put, the core concept of RLNC is this: instead of mechanically transmitting raw data packets one by one, data is mathematically encoded and mixed before being distributed to various nodes across the network. The receiver does not need to obtain every single original data fragment; as long as a sufficient number of coded fragments are collected, the complete data can be reconstructed. Conclusion: Optimum’s RLNC approach demonstrates lower latency, reduced redundancy, and superior data recovery capabilities in real-world networks. It could emerge as a critical new component in the modular blockchain stack—not as a blockchain itself, but as an underlying memory layer that enables multiple chains to operate more like a high-performance computing system. @get_optimum @tgogayi

@lan_thua555 @heathcliff_eth @NoxxW3 好甜美可爱

The pink-haired girl brims with vitality. Her starry eyes and sweet smile are absolutely charming. Beside her sits an elaborately decorated cake, creating a warm and joyful atmosphere. The whole painting is filled with youthful energy and happiness. @heathcliff_eth @NoxxW3 |@SeismicSys

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When ETH is Money and Speed is Money are considered together, I believe they are not two separate concepts: one defines what value is, while the other determines how quickly value can reach everyone.

Robinhood Chain is demonstrating that an increasing number of applications will anchor value back to ETH, and underlying network optimizations such as mump2p facilitate the circulation of these values with lower latency and higher efficiency.

Robinhood Chain has recently become the most talked-about Layer 2 blockchain this year, with transaction volume exceeding that of many established DEXs. It has also chosen ETH as its native gas, and all transaction fees are ultimately settled back to Ethereum L1. @get_optimum

@Prince_of_web3 @bilixbili

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@onyeke73466 @get_optimum @aqccapital Faster speed brings higher returns

You can build the fastest blockchain in d world but if data moves inefficiently btw nodes, performance still suffers @get_optimum is solving a quieter challenge: helping networks propagate data faster while using less bandwidth That's infrastructure worth paying attention to

@onyeke73466 @get_optimum RLNC effectively addresses quantum attacks

Optimum's take on post-quantum security stood out: It's not just about cryptography—it's also about coding. A perspective that could shape the next generation of blockchain infrastructure. @get_optimum is exploring the layers most projects overlook.

Modern VS Classical

I've always been very interested in AI agent trading. AI and quantitative trading should collide more and operate less in isolation. I wonder if any of the attendees have any new ideas that have emerged since then? Share your honest thoughts on AI trading agents in the comments!

The event photos showed everyone sitting around listening to the presentation, with Donut's slides on the projector. These small gatherings outside of conferences are often more valuable than the main panel, generating genuine insights.

Last night I saw that @DonutAI hosted a private AI happy hour with Ubiquant Partners during ICML Seoul. Donut's chief scientist shared insights from secure AI systems and peer-to-peer assessments to profit-driven and service-driven real-time trading brokers.

@kabuda112821 Optimum changes the way data is transmitted

I used to think Web3 was slow because blockchains weren’t fast enough. More TPS. More powerful machines. More optimized chains. That was the answer everyone seemed to be chasing. But the more I learned about how data actually moves through networks, the more I started questioning that idea. Maybe the problem was never just the engine. Maybe it was the road. Imagine having the fastest car in the world… but the roads are broken. Traffic everywhere. Wrong routes. Missing pieces. Constant delays. You can build a faster car, but you’re still stuck. That’s what clicked for me when I started looking into Optimum. The real challenge isn’t only processing more data. It’s making sure information can actually flow. Packets get lost. Networks get messy. Things fail. That’s normal. The interesting part is whether the system can adapt when that happens. And that’s why concepts like RLNC and the Memory Layer caught my attention. Not because they promise a perfect network. But because they build a network that understands reality. A network that can recover. A network that can keep moving. Sometimes the biggest breakthroughs aren’t about making something faster. They’re about removing the things that quietly slow everything down. Maybe Web3 doesn’t need another bigger highway. Maybe it needs a smarter way for information to travel. And that’s the part of Optimum I find genuinely exciting. ∞ @get_optimum

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