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Ed_x區塊日記🇭🇰
Since the beginning of this year, I have been able to catch dogs with more than 1M in a single currency of the month almost every month
You think I'm going to milk you in the car, but you don't know that I'm crossing others and myself
Trump in January
Shell in February
RFC in March
and Labubu in May
Let it be, June
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Odaily
With the Bitcoin breaking through a new high of $110,000 in the early hours of this morning, US President Trump issued a special message to celebrate, and a new round of Bitcoin bull market led by institutional funds and long-term capital is accelerating. The frenzy of the market is no longer just the passionate speculation of retail investors, but a process of emotional restructuring and asset repricing driven by macro funds.
On May 21, CoinGecko released a list of the "Top 10 Crypto Trading Platforms in the World", in addition to the regular Binance, OKX, Bybit and other "traditional giants" continue to dominate the list, an unexpected but reasonable name appeared - LBank. This trading platform, which has been working silently on the "cold bench" for a long time, has broken through the encirclement and officially ranked among the top 10 in the world with its accurate bets on the meme market and the first place in the global 100-fold coin asset ratio with its precise bets and strong execution.
This is not an accidental hit, but a structural victory driven by crypto-native culture. What LBank represents is not only a counterattack by the platform, but also a triumphant repetition of meme as a new cycle of capital flow.
Institutional Victory: From Marginal Player to Emotional Amplifier
In CoinGecko's report, LBank was specifically mentioned as the "core engine that drove the explosion of the meme market" for being the fastest listing and the most liquid, and this is not for nothing. According to statistics, in Q1 2025 alone, a total of 366 new assets will be listed on LBank, of which 51% are meme coins. The average daily trading volume of meme assets accounted for 7.42%, an increase of more than 50% over the same period last year. Behind this data is not blind paving, but a "strict selection" that has been carefully screened.
Especially in the context of the recent fierce battles in the on-chain ecosystem such as let'sbook, Pump.fun, and Believe, LBank accurately captured the emotional highs and took the lead in launching popular meme projects such as LAUNCHCOIN, GOONC, and startup, successfully reproducing the hundredfold myth. Among them, MEMEs such as LAUNCHCOIN (+15, 194%) and DUPE (+13, 367%) have risen fiercely, increasing dozens of times in a single week, not only swiping the community, but also allowing a group of users to complete the "first step of wealth freedom".
Not only that, but its listing speed has surpassed that of web3 products such as Binance Alpha, Gate Alpha, and Bitget Onchain, with most assets being listed on LBank for several months, and the longest time difference is even as long as 6 months. Among them, REX, as the third phase of LBank's Launchpool product, increased by 1, 623% at the beginning of its launch, and launched Bybit perpetual contract on January 9, 2025, and Binance Alpha on May 17, 2025, which fully demonstrates LBank's absolute advantage in high-quality asset discovery and early market capture.
The Invisible "Liquidity Circuit Breaker": LBank is the sober one in the bubble cycle
When exchanges fall into "infinite involution" and rely on market makers to create the illusion of on-chain activity, LBank has quietly completed the transition from "the edge of the cryptocurrency circle" to "the preferred platform for meme". This time, it did not copy the Web2 traffic play, but bet on the user's emotional cycle and cultural consensus, and used high-frequency debut + high-quality screening - cutting into the forefront of the emotional cycle with a faster pace.
Its data shows that in Q1 2024, the trading volume of meme coins on LBank accounted for 47% of the total, much higher than the industry average of 12%. This not only reflects the platform's continuous investment in meme assets, but also shows its high stickiness and enthusiasm among the user group, and stabilises the fundamentals in the deep water area of meme.
Take a recent hot meme project as an example:
The market share of the Believe series LAUNCHCOIN is as high as 36.69%, accounting for almost one-third of the entire market;
The classic spoof project RFC once hit 38.12% of the market share;
Pre-sale concept projects such as PAIN (27.2%), Abstract TROLL (16.57%), and SHELL (15.52%) also demonstrated LBank's meme liquidity depth.
In order to further strengthen user confidence, LBank has also launched a "transaction compensation" mechanism and set up a $100 million user protection fund to cover high-risk and high-volatility meme assets with extremely high security thresholds and safeguard measures.
Rather than being the "king of the coin platform", LBank is more of a "sober person in the illusion of liquidity". At a time when many platforms rely on "market maker PUA" to achieve the illusion of prosperity and frequently stage "liquid circuit breakers", LBank has retained users in the bubble by relying on real transactions and real emotional reactions. This strategy not only improves the "detonation probability" of LBank's assets, but also completes the cold start of retail consensus when the institution has not yet intervened.
Awards: Value perceptions are being revalued
From "altcoin small" to "global meme pricing field", LBank is gaining mainstream recognition in the market step by step. To date, LBank has won several crypto accolades:
2024.06.05 |Wiki Finance Expo "Best Altcoin & Meme Coin Exchange"
2024.12.24 |Crypto.News "Best Exchange"
2025.03.18 |CoinGape "Best Meme Coin Investment Exchange"
2025.04.01 |UToday "Best Exchange 2025"
2025.04.16 |CoinGecko reveals LBank's core competitiveness: industry-leading listing speed
2025.04.22 |Forbes Focuses on LBank: Using Memecoin as a Bridge to Reshape Global Financial Channels
2025.05.02 | The Wall Street Journal mentions LBank's booth and in-person activities during dubai TOKEN 2049
2025.05.21 |CoinGecko: LBank has become the world's No. 1 exchange in terms of asset ratio of 100 times coins
More than that, the story of LBank continues......
At a time when exchange competition is becoming more and more like a "market-making illusion manufacturing", LBank has taken a reverse path: creating structural trends with emotional understanding, blocking narrative highs with extreme listing efficiency, and then using real liquidity to fulfil users' wealth expectations.
As Twitter user @b 66 ny put it, "Whoever can leverage the narrative in the first place will be able to take on the transaction flow that the narrative starts." "
This is not only the epitome of LBank's strategy, but also the betting logic of "speed + resonance" for crypto users in the new cycle. LBank, on the other hand, apparently understands the underlying rules of this bet.
In the midst of turmoil and differentiation, the most worth betting on is not the platform with the largest market capitalisation, but the person who understands the user's desire and emotional feedback mechanism best. And LBank is becoming the "one who knows best".
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ℝ𝕦𝕓𝕚𝕜𝕤
𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐀𝐈: 𝐒𝐢𝐱 𝐔𝐧𝐝𝐞𝐫 𝐓𝐡𝐞 𝐑𝐚𝐝𝐚𝐫 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 𝐑𝐞𝐰𝐢𝐫𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐮𝐭𝐞, 𝐏𝐫𝐢𝐯𝐚𝐜𝐲, 𝐀𝐧𝐝 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩
Web3 has no shortage of noise, yet the work that matters is happening where teams solve stubborn infrastructure gaps:
• Verifiable Compute,
• Data Sovereignty, and
• Aligned incentives.
Below is a field guide to six such builders whose traction already hints at the next step-change for AI.👇
---
Numerai (@numerai ): Crowd Intelligence, Collateralized
San Francisco’s Numerai turns a global data-science tournament into a live hedge fund. Contributors submit encrypted predictions and stake $NMR. The protocol aggregates them into a single meta-model and automatically sizes positions in US equities. Payouts track real-world PnL, while poor models forfeit their stake, creating what founder @richardcraib calls “skin-in-the-math.” Numerai has now raised approximately $32.8M, with over $150M in staked NMR, and distributes six-figure sums in weekly rewards to thousands of pseudonymous quants.
---
Gensyn (@gensynai ): Proof-of-learning at Cloud Scale
GPU markets are distorted, but Gensyn sidesteps the roadblocks by recruiting any idle hardware and verifying the work with optimistic checks and zero-knowledge “proof-of-learning.” Developers submit a training job, peers do the heavy lifting, and correctness is settled on-chain before payment clears. The London crew banked roughly $43M from a16z crypto and others and is targeting LLM fine-tuning, where compute is both scarce and expensive.
---
MyShell (@myshell_ai ): User-owned Agents As Digital Goods
MyShell gives creators a no-code studio to build voice assistants, game NPCs, or productivity bots, then package them as NFTs and earn $SHELL token royalties when others deploy or remix them. The project has attracted over 1M+ users and $16.6M in funding, as a consumer-facing layer for personalised AI that is portable across apps. No API key, no gatekeeper.
---
(@flock_io ): Federated Learning For Privacy-Preserving Models
In sectors where data can never leave the device, such as hospitals or smart-factory sensors, FLock orchestrates small-language-model training across thousands of nodes. Each update is verified with ZK-proofs before it is embedded into the global model, and contributors earn $FLO tokens in proportion to proven utility. A fresh $3M round led by DCG brings total funding to $11M and supports pilots in medical imaging and industrial IoT.
---
Ritual (@ritualnet ): A sovereign L1 for AI Workloads
Ritual is building a layer 1 where models live as smart contracts, versioned, governable, and upgradeable via token voting. Off-chain executors handle the heavy maths, feed results back on-chain, and collect fees. The design promises fault isolation if a model malfunctions so that governance can roll it back without halting the network. Investors have backed the thesis with a $25M Series A.
---
Sahara AI (@SaharaLabsAI ): Agents With Shared Memory
Sahara deploys autonomous agents onto a peer-to-peer substrate and stores their evolving knowledge graphs on-chain, so that any reasoning step is auditable. Contributors who upload high-quality facts earn token rewards, improving the graph and the agents that rely on it. The company has secured about $49M, including a Pantera-led Series A, and is running early supply-chain analytics pilots where opaque vendor data previously stalled AI adoption.
---
Strategic Signals
• Cost Pressure Over Hype: Each project bends unit economics in its favour. @numerai by externalizing R&D, @gensynai by arbitraging unused silicon, @flock_io by eliminating data-migration costs.
• Verifiability As Moat: Zero-knowledge attestation, staking, or on-chain audit logs convert trust into math, discouraging copy-cats without similar research depth.
• Composable Edges: @myshell_ai’s agent NFTs can plug straight into Ritual’s execution layer or consume data from Sahara’s graphs, at a stack where provenance travels with the model.
---
Risk log
Token incentive standards, throughput limits for proofs, and an incumbent cloud ready to match prices all loom large.
The hedge: Back teams whose roadmaps migrate gradually from off-chain to on-chain primitives and who measure success in solved business problems, not token charts.
---
Takeaway
Decentralized AI will not arrive with one flagship chain. It will seep in through practical wins like cheaper training cycles, crowd-sourced alpha signals, and privacy-preserving deployments. The builders above are already selling those wins. Track their metrics, not their memes, and you will see the curve before it becomes consensus.
Thanks for reading!


ℝ𝕦𝕓𝕚𝕜𝕤
AI Centralization vs Decentralization: What’s Worth Playing?
Imagine two arenas: one is dominated by tech giants running massive data centers, training frontier models, and setting the rules. The other distributes compute, data, and decision-making across millions of miners, edge devices, and open communities. Where you choose to build or invest depends on which arena you believe will capture the next wave of value, or whether the true opportunity lies in bridging both.
---
What Centralization and Decentralization Mean in AI
Centralized AI is primarily found in hyperscale cloud platforms like AWS, Azure, and Google Cloud, which control the majority of GPU clusters and hold a 68% share of the global cloud market. These providers train large models, keep weights closed or under restrictive licenses (as seen with OpenAI and Anthropic), and use proprietary datasets and exclusive data partnerships. Governance is typically corporate, steered by boards, shareholders, and national regulators.
On the other hand, Decentralized AI distributes computation through peer-to-peer GPU markets, such as @akashnet_ and @rendernetwork, as well as on-chain inference networks like @bittensor_. These networks aim to decentralize both training and inference.
---
Why Centralization Still Dominates
There are structural reasons why centralized AI continues to lead.
Training a frontier model, say, a 2-trillion parameter multilingual model, requires over $500M in hardware, electricity, and human capital. Very few entities can fund and execute such undertakings. Additionally, regulatory obligations such as the US Executive Order on AI and the EU AI Act impose strict requirements around red-teaming, safety reports, and transparency. Meeting these demands creates a compliance moat that favors well-resourced incumbents. Centralization also allows for tighter safety monitoring and lifecycle management across training and deployment phases.
---
Centralized Model Cracks
Yet this dominance has vulnerabilities.
There’s increasing concern over concentration risk. In Europe, executives from 44 major companies have warned regulators that the EU AI Act could unintentionally reinforce US cloud monopolies and constrain regional AI development. Export controls, particularly US-led GPU restrictions, limit who can access high-end compute, encouraging countries and developers to look toward decentralized or open alternatives.
Additionally, API pricing for proprietary models has seen multiple increases since 2024. These monopoly rents are motivating developers to consider lower-cost, open-weight, or decentralized solutions.
---
Decentralized AI
We have on-chain compute markets such as Akash, Render, and @ionet that enable GPU owners to rent out unused capacity to AI workloads. These platforms are now expanding to support AMD GPUs and are working on workload-level proofs to guarantee performance.
Bittensor incentivizes validators and model runners through $TAO token. Federated learning is gaining adoption, mostly in healthcare and finance, by enabling collaborative training without moving sensitive raw data.
Proof-of-inference and zero-knowledge machine learning enable verifiable model outputs even when running on untrusted hardware. These are foundational steps for decentralized, trustless AI APIs.
---
Where the Economic Opportunity Lies
In the short term (today to 18 months), the focus is on application-layer infrastructure. Tools that allow enterprises to easily switch between OpenAI, Anthropic, Mistral, or local open-weight models will be valuable. Similarly, fine-tuned studios offering regulatory-compliant versions of open models under enterprise SLAs are gaining traction.
In the medium term (18 months to 5 years), decentralized GPU networks would spiral in as their token prices reflect actual usage. Meanwhile, Bittensor-style subnetworks focused on specialized tasks, like risk scoring or protein folding, will scale efficiently through network effects.
In the long term (5+ years), edge AI is likely to dominate. Phones, cars, and IoT devices will run local LLMs trained through federated learning, cutting latency and cloud dependence. Data-ownership protocols will also emerge, allowing users to earn micro-royalties as their devices contribute gradients to global model updates.
---
How to Identify the Winners
Projects likely to succeed will have a strong technical moat, solving problems around bandwidth, verification, or privacy in a way that delivers orders of magnitude improvements. Economic flywheels must be well-designed. Higher usage should fund better infrastructure and contributors, not just subsidize free riders.
Governance is essential. Token voting alone is fragile, look instead for multi-stakeholder councils, progressive decentralization paths, or dual-class token models.
Finally, ecosystem pull matters. Protocols that integrate early with developer toolchains will compound adoption faster.
---
Strategic Plays
For investors, it may be wise to hedge, holding exposure to both centralized APIs (for stable returns) and decentralized tokens (for asymmetric upside). For builders, abstraction layers that allow real-time switching between centralized and decentralized endpoints, based on latency, cost, or compliance, is a high-leverage opportunity.
The most valuable opportunities may lie not at the poles but in the connective tissue: protocols, orchestration layers, and cryptographic proofs that allow workloads to route freely within both centralized and decentralized systems.
Thanks for reading!

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About MyShell (SHELL)
MyShell FAQ
What is cryptocurrency?
Cryptocurrencies, such as SHELL, are digital assets that operate on a public ledger called blockchains. Learn more about coins and tokens offered on OKX and their different attributes, which includes live prices and real-time charts.
When was cryptocurrency invented?
Thanks to the 2008 financial crisis, interest in decentralized finance boomed. Bitcoin offered a novel solution by being a secure digital asset on a decentralized network. Since then, many other tokens such as SHELL have been created as well.
Can I buy SHELL on OKX?
No, currently SHELL is unavailable on OKX. To stay updated on when SHELL becomes available, sign up for notifications or follow us on social media. We’ll announce new cryptocurrency additions as soon as they’re listed.
Why does the price of SHELL fluctuate?
The price of SHELL fluctuates due to the global supply and demand dynamics typical of cryptocurrencies. Its short-term volatility can be attributed to significant shifts in these market forces.
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OKX does not provide investment or asset recommendations. You should carefully consider whether trading or holding digital assets is suitable for you in light of your financial condition. Please consult your legal/tax/investment professional for questions about your specific circumstances. For further details, please refer to our Terms of Use and Risk Warning. By using the third-party website ("TPW"), you accept that any use of the TPW will be subject to and governed by the terms of the TPW. Unless expressly stated in writing, OKX and its affiliates (“OKX”) are not in any way associated with the owner or operator of the TPW. You agree that OKX is not responsible or liable for any loss, damage and any other consequences arising from your use of the TPW. Please be aware that using a TPW may result in a loss or diminution of your assets. Product may not be available in all jurisdictions.