The current Lobster Skill is just yesterday's Fruit Ninja, only meant to get you acquainted.
The phenomenon of "Lobster" OpenClaw has become extremely popular in China, to the point where even Ma Huateng shared Tencent's free installation of the open-source AI agent OpenClaw on his WeChat Moments, commenting, "Didn't expect it to become this popular."

During the National People's Congress and Chinese People's Political Consultative Conference (Two Sessions), National People's Congress delegate and Chinese Academy of Engineering academician Gao Wen also mentioned this phenomenon in his speech, stating, "Now everyone is in a rush, afraid of not raising a lobster."
However, now that "lobsters" are available, what exactly are people doing with them? A possibly more typical and ideal case scenario is as follows:

"For the past week or so, I've been using a digital assistant that knows my name, understands my morning routine, knows how I like to use Notion and Todoist, and can also control Spotify and my Sonos speaker, Philips Hue lights, and my Gmail. It runs on the Anthropic Claude Opus 4.5 model, but I interact with it through Telegram. I've named this assistant Navi, and Navi can even receive my audio messages, using the latest ElevenLabs text-to-speech model to generate other audio messages in response. Oh, and I haven't mentioned that Navi can self-improve through a new feature, and it's running on my own M1 Mac Mini server."
The author of the above case scenario mentioned that he has already burned 180 million tokens on the Anthropic API, possibly spending $2000 to "raise a lobster."
It may sound like the cost of "raising a lobster" is not low, and the things it can do may not be very advanced. It seems more like a "XX Elf" that can communicate with humans in a humane way and help humans automate more work. In fact, this is the role that "lobsters" can play at this stage—an "AI assistant."
If we take a look at the top 100 installation rankings on ClawHub and roughly classify them, we can better understand that using large models to do these things often amounts to "using a sledgehammer to crack a nut":
- Information retrieval category: Searching, extracting, integrating, and summarizing information from various sources (external links, local files, APIs). Practical use cases include AI-optimized and summarized searches on Google, Baidu, etc., having the "lobster" send you the weather forecast daily, and sending real-time Bitcoin prices.
- Productivity (Workflow Automation) Category: Handles email, Notion, Github, Obsidian, Slack, etc., and is able to further achieve cross-platform task automation, streamline workflows, and provide a single entry point for dealing with multiple platforms.
- Developer Tools Category: Professional tools for developers and technical users, offering features such as code management, API interaction, server management, etc. Enhances development efficiency and enables automation of coding, testing, and deployment. This category is programmer-oriented, such as interacting with GitHub via the command line, handling issues, PRs, CI runs, and advanced queries.
- Content Creation Category: Utilizes AI generation capabilities to create or edit text, images, audio, and other multimedia content.
- IoT Control Category: Connects to and controls smart home devices, audio systems, and other smart home hardware. For example, enabling scheduled control of home curtains and lights.
Overall, the popularity of "Lobster" is not due to how exceptionally well it can perform the above tasks, but rather its ability to act as a comprehensive "assistant." Unlike most users who may simply use a particular AI tool as a search engine or automatic image editing software, "Lobster" allows individuals to use chat applications like Telegram to interact with it in a conversational manner and assign various types of tasks, similar to interacting with a boss. This novelty is amplified through word of mouth, making it an unprecedented integration of AI into people's lives.
We can even take a more optimistic view of the current seemingly idle stage of "Lobster." In the early days of the iPhone, we could only play games like Balance Ball, Angry Birds, and Fruit Ninja to showcase how a touchscreen could be used. In terms of the content and entertainment value of the games themselves, they were not even as entertaining as the abundant Java games on Nokia phones. But now, young people play games like Honor of Kings, Delta Force, and many even exclusively play mobile games without touching PC games.
If we shift our focus to the current cryptocurrency market, "Lobster" is likely to significantly lower the learning curve between cryptocurrencies and the general public once again, effectively addressing the widespread investment demand of the public.
Of course, this is not referring to meme trading or creating tokens using "Lobster." Nowadays, the variety of on-chain tradable assets is becoming increasingly diverse, from US stocks, crude oil, and gold to Pokémon cards... All of these can be traded on-chain in a decentralized, 24/7, and low-threshold manner. The trading volume is substantial. On February 6, Hyperliquid's on-chain Perp DEX and Trade.xyz, primarily trading US stocks, achieved a 24-hour trading volume of $5.45 billion, setting a new all-time high.
In this age of information abundance, what often hinders us from capturing new investment opportunities is the "barrier to entry." For example, some time ago, when memory prices surged, everyone could be aware of this information. However, going directly to buy SK Hynix's stock is quite troublesome for non-Korean residents. Account opening, fund settlement, and so on, all impede the public from making immediate investment actions based on this information.
But what if the path becomes:
- Let the "Lobster" have a wallet
- Purchase stablecoins via credit card to fund the "Lobster" wallet
- Tell the "Lobster" the specific investment target
- The "Lobster" conducts the buy/sell on-chain
All these can be easily done through a chat-like conversation, which undoubtedly presents an explosive growth opportunity for the "Lobster" and cryptocurrency.
We also have prediction markets, so we can imagine more. For instance, while taking a taxi, you have a chat with the driver. The driver mentions they think the next U.S. president will be A, you believe it will be B, and in the midst of the disagreement, you voice command to your "Lobster" - place a $100 bet for me on B to win.
Your "Lobster" understands your intent, automatically finds the prediction market with the best liquidity to place the order. The driver promptly follows suit, using the in-car system's voice command, also placing a $100 bet on A to win with their "Lobster" on the prediction market.
Furthermore, the "Lobster" may also introduce features to regulate underage consumer spending, preventing children from impulsive spending via their "Lobster" on-chain trading cards market while showing off their Pokémon cards.
If the meme coin frenzy driven by pump.fun was the 1.0 version of the attention economy's "everything tokenization," then the "Lobster," this new paradigm of ordinary people using AI more simply, could potentially become the 2.0 version - it can find on-chain all the investment targets and channels we want to invest in immediately and execute based on our intent. Moreover, it will expand the on-chain ecosystem from investment to consumption, truly unlocking the Mass Adoption that blockchain has been pursuing for years.
The future is unfolding.
You may also like

ZachXBT: Humanity private key leak and abnormal surge in H token should be viewed separately
On June 9, according to related disclosures, on-chain investigator ZachXBT posted an update on Humanity’s roughly $31 million security incident, saying that after further analyzing fund flows, he currently tends to believe the project team was not involved in an “inside job” or a self-staged attack. According to him, the official explanation about the private key leak was broadly accurate, but before the token unlock, the price of H had been artificially pushed higher, and the hacker later took advantage of that market environment; therefore, the private key leak and the earlier abnormal price pumping should be regarded as two separate and independent events. This reframing has shifted the market’s understanding of the nature of the incident. Earlier discussion around Humanity had focused on whether the team directly participated in the attack or used the security incident to cover up internal operations. ZachXBT’s latest remarks shift the focus from “whether it was self-theft” to “whether there were pre-unlock market structure issues.” He also questioned whether the team may have.

Morning Report | OpenAI has submitted an S-1 registration statement draft to the U.S. SEC; Morpho completes $175 million financing

Morning Report | BitMine increased its holdings by 126,971 ETH last week; trader Eugene announced his exit from the crypto market

Wang Chuan: How can one not feel anxious after the neighbor Old Wang made thirty times profit by investing in storage stocks? (Seven) - A quarter-century cycle

Cryptocurrency CEXs are flocking to sell US stocks, and traditional brokerages are facing an "uninvited guest."

$75 billion in foreign capital has fled, and South Korean retail investors have absorbed it all using leverage

Japan’s Three Megabanks Plan Joint Stablecoin Issuance in Fiscal 2026
MUFG, SMBC, and Mizuho reportedly plan to jointly issue fiat-pegged stablecoins in fiscal 2026, signaling Japan’s growing push into bank-led digital payment infrastructure.

Humanity Discloses H Token Dual-Chain Attack Details, With Losses on Ethereum and BSC Exceeding $36 Million
Humanity said the H token attack across Ethereum and BSC caused more than $36 million in losses after leaked ProxyAdmin keys enabled malicious contract upgrades and token minting.

White House Discusses CLARITY Act With Law Enforcement Ahead of Senate Vote
The White House discussed the CLARITY Act with law enforcement ahead of a Senate vote, focusing on illicit finance risks and developer protections.

Bitcoin Trading Guide 2026: Strategies for Experienced Traders

What Is XAUT and PAXG? Why Tokenized Gold Is Booming in 2026

Will the SpaceX IPO Hurt Bitcoin? Here's What Traders Are Watching

Foreign selling in the South Korean stock market accelerates, with cumulative net sales reportedly reaching $75 billion this year
On June 9, The Kobeissi Letter, citing Goldman Sachs data, reported that global investors are selling South Korean stocks at an unusually rapid pace. In the latest trading session, foreign investors sold about $801 million worth of Kospi constituent stocks again; total foreign outflows last week reached about $10 billion, and the market has been in net foreign selling on nearly every trading day over the past month. According to the data cited in the report, foreign investors have sold about $75 billion worth of South Korean stocks so far this year. Meanwhile, South Korean retail and institutional investors together recorded roughly $69 billion in net buying over the same period, suggesting that the market’s main buying support has come from domestic capital rather than returning overseas funds. The information currently disclosed still mainly comes from The Kobeissi Letter’s retelling and Goldman Sachs data summaries, while public details on the statistical period and the specific definition of “selling” remain relatively limited.

Fortune Warns of Strategy’s Financing Structure Risks as Bitcoin Premium Narrows
Fortune warned that Strategy’s Bitcoin treasury model faces growing financing risks as MSTR’s net asset premium narrows and preferred stock dividend pressure increases.

Ferrari Challenge Le Mans: Carl Moon to Dominate in WEEX Livery

Sahara AI Responds to SAHARA’s Sharp Drop: No Contract or Product Security Issues Found, Internal Investigation Underway
Sahara AI responded to SAHARA’s 60% price drop, saying no token contract or product security issues have been found and an internal investigation is underway.

WEEX Deposit/Withdrawal Dynamic Island: Your Asset Status, Always in Sight

Scaling Crypto Derivatives: The Digital Asset Infrastructure Behind High-Volume Trading
In the fast-moving digital asset ecosystem, derivatives platforms face an extreme architectural test. High-leverage futures markets demand more than just standard security—they require absolute operational precision, zero-latency matching engines, and ironclad structural scalability, all while navigating intense market volatility.
As global platforms scale to meet these demands, the industry is shifting away from rigid, monolithic setups toward a more agile, "decoupled" infrastructure philosophy.
The Blueprint for High-Volume Copy TradingFor elite global exchanges like WEEX (founded in 2018), this architectural choice becomes critical when scaling high-volume retail features like social copy trading. When thousands of users automatically mirror the real-time strategies of elite traders simultaneously, it triggers sudden, monumental spikes in concurrent transactional volume.
To prevent execution latency or settlement bottlenecks during these peak volatility events, a platform's primary engine must remain entirely dedicated to risk management, copy-trade synchronization, and order matching.
The Architectural Rule: New-generation platforms must separate front-end user execution engines from heavy backend infrastructural overhead to eliminate operational friction.
By separating these layers, platforms can maintain complete sovereignty over their trading environments and user experiences while strategically aligning with institutional-grade infrastructure ecosystems. This strategic framework allows modern exchanges to leverage advanced Digital Asset Custody infrastructure such as Cobo’s behind the scenes, ensuring that backend wallet management scales elastically alongside trading spikes.
Capitalizing on Market Momentum and 400× LeverageIn a derivatives arena where platforms offer up to 400× leverage on perpetual contracts, capital efficiency and market agility are core business metrics. To capture market momentum, an exchange needs the ability to rapidly expand its asset offerings, supporting everything from legacy crypto assets to sudden, trending altcoins across a massive library of trading pairs.
Adopting a flexible, scalable Wallet-as-a-Service (WaaS) solution such as Cobo’s could completely rewrite the development timeline for high-growth exchanges. Instead of spending months of engineering capital building out custom backend wallet architectures for every new blockchain network, platforms can deploy localized infrastructure in days.
This agility allows platforms to instantly scale their listings to over a thousand trading pairs without compromising security or delaying time-to-market. It mirrors the exact operational advantages seen during high-velocity market events, similar to how advanced wallet infrastructure empowers platforms during sudden asset surges; allowing exchanges to pass that speed and liquidity directly to their global user base.
A Mature Foundation for GrowthThe synergy between trusted infrastructure ecosystems and global trading platforms represents the natural evolution of a maturing crypto market. As WEEX continues to scale its global spot and derivatives offerings for over 6 million users, adopting robust backend paradigms proves that platforms no longer have to compromise between cutting-edge trading velocity and uncompromised structural security.
ZachXBT: Humanity private key leak and abnormal surge in H token should be viewed separately
On June 9, according to related disclosures, on-chain investigator ZachXBT posted an update on Humanity’s roughly $31 million security incident, saying that after further analyzing fund flows, he currently tends to believe the project team was not involved in an “inside job” or a self-staged attack. According to him, the official explanation about the private key leak was broadly accurate, but before the token unlock, the price of H had been artificially pushed higher, and the hacker later took advantage of that market environment; therefore, the private key leak and the earlier abnormal price pumping should be regarded as two separate and independent events. This reframing has shifted the market’s understanding of the nature of the incident. Earlier discussion around Humanity had focused on whether the team directly participated in the attack or used the security incident to cover up internal operations. ZachXBT’s latest remarks shift the focus from “whether it was self-theft” to “whether there were pre-unlock market structure issues.” He also questioned whether the team may have.
