Breaking down OpenClaw's Wealth Trap: Everyone is "Farming Lobsters" — How Do Others Make Money?

Author: Frank, PANews

In recent times, the hottest topic in the tech and startup circles isn’t a major company’s new model release but the nationwide “Lobster Farming” craze.
On one hand, the “Lobster Farming” boom has driven growth in related industries, with large model companies and cloud server providers making huge profits. On the other hand, how much real benefit Openclaw can bring to users remains a mystery. Although social media is filled with such myth stories, a closer look reveals most are virtual stories designed to attract traffic.
Is lobster farming truly profitable? If so, who is actually making the money?
PANews has compiled data from TrustMRR, public cases on social media, project official websites, and cross-verified reports from multiple sources. To distinguish “verified real income” from online self-proclaimed myths, we have excluded many rumors based solely on one-sided claims or unverified information.
TrustMRR’s new startup data platform shows that within the OpenClaw ecosystem, there are 153 recorded projects, with total income of approximately $358,600 USD in the past 30 days. Analyzing the top 30 samples, their combined income accounts for 97.3% of the total.
Breaking down these projects and their profit logic along the “industry value chain,” reveals a stark truth: The first to make money aren’t those using Lobsters to create products, but those helping others farm Lobsters, teaching others how to do it, and relying on hype to MEME coins.
However, this isn’t the most genuine answer we seek. How exactly are those truly using Openclaw making money? To answer this, PANews has summarized five profit models of OpenClaw.

First: Selling “Shovels” and Agency Services — Quick Cash from “Cognitive Gap”
The most discussed and revenue-bright products in OpenClaw are often not specific applications but tools and one-click hosting services.
OpenClaw functions more like a foundational infrastructure rather than a ready-to-use consumer product, creating high barriers for non-technical users. Once complexity exists, services will emerge.
Among the approximately $350,000 USD in sample income over 30 days, “hosting deployment” and “one-click cloud hosting” projects alone contributed about $120,100 USD, accounting for 34.5%.

A typical example is QuickClaw, which packages underlying capabilities into a mobile app priced at $3.99/week or $49.99/year, generating about $8,782 USD in the past 30 days.
In Chinese communities, this logic manifests more plainly: “Lobster proxy” on second-hand platforms.
According to media reports, recently, “OpenClaw deployment services” on platforms like Xianyu and Xiaohongshu have exploded. Remote installation costs range from 100-300 RMB, with on-site services from 400-1000 RMB. During certain periods, daily transaction volume of related services increased by 150% compared to the previous quarter.
This logic essentially is “earning from information and perception gaps.” Users are willing to pay to save 30 minutes of hassle, but this is a “window period” business. As official one-click deployment tools mature, the red-hot proxy business will quickly fade.

Second: Packaging AI Expert Personas — When “Stories” Become the Most Valuable Product
Moving up a level, another more valuable aspect in the OpenClaw ecosystem emerges: not just deploying for you, but training your Agent well.
In the top 30 samples from TrustMRR, projects related to templates, skill packs, and configurations contribute 26.4% of income.
One of the most credible and complete business cases at this level is FelixCraft.
In early 2026, creator Nat Eliason launched an experiment. He named his OpenClaw robot “Felix,” invested $1,000 as startup capital, and let it build a business autonomously. Within a week, Felix generated about $3,500 USD via Stripe. Additionally, the crypto community issued related MEME tokens for this Agent, forwarding 60% of daily trading fees, allowing Felix to earn tokens worth up to $100,000 USD in a week.

As a case worth deep analysis, Felix has several features: Nat Eliason granted the AI high permissions, allowing it to autonomously post on Twitter, retweet, and interact in communities. Before launch, Eliason spent significant effort building the framework, including memory modules, security settings, and workflows.
He admits in a podcast interview that the profit was somewhat accidental. Fundamentally, Felix’s main revenue still comes from packaging his training process and results as a product. The MEME token gains are mainly driven by the story and traffic it creates.
Notably, the top-earning project in TrustMRR’s OpenClaw category, Claw Mart (a marketplace for Agent skills), was created by Felix and has accumulated $71,300 USD in revenue. The story of Felix creating and automating projects as an Agent is a powerful endorsement of this product.
Felix’s success reveals a high-level path for OpenClaw commercialization: giving Agents continuous identity. When OpenClaw is branded as a specific name (Felix), a sellable guide, a set of reusable skill packs, plus a compelling narrative of “AI starting a business,” it transforms into a highly viral personal brand. The core obstacle isn’t AI itself but the strong Agent training and branding skills of Nat Eliason behind it.

Third: Selling Efficiency Myths — Using AI to Work and Monetize Through “Storytelling”
Among all profit paths, the most recognized might be: replacing manual work with OpenClaw, saving costs, and earning profits.
In content operations, this has become a reality. Developer Oliver Henry named his Agent “Larry,” responsible for a TikTok account. Larry automatically calls large models to generate images, write titles, and upload drafts. Henry only spends 60 seconds daily choosing background music and clicking publish.
Henry states that within five days, Larry’s videos surpassed 500,000 views, bringing him about $588 USD in revenue (from paid app recommendations in his videos). Additionally, Larry generated $4,000 USD through MEME coin issuance.
Interestingly, Henry’s tweet sharing this story has already reached 7.1 million views. Similar to Felix, the story itself seems more commercially valuable than the Agent.

Fusheng, founder of Cheetah Mobile, built a team of eight Agents called “30,000,” achieving daily updates on their official account from a few articles per year to daily posts, hitting a record of over 1 million views, attracting social attention. The viral post explaining how the Agent works is still a story about the operation of Agents.

In content creation, whether Agent-generated content can become a hit remains unproven. Most viral stories are about Agents making money or improving work efficiency.
The biggest current topic in content creation is the “Lobster” story.

Fourth: Deep Industry Customization — Moving Beyond Tool Overlap to Earn “Service Premium”
If proxying is earning “entry barrier” money, then extending this to packaging “Lobsters” as personalized products is another level.
RoofClaw exemplifies this. TrustMRR shows it earned about $49,800 USD in the past 30 days, with total revenue reaching $1.8 million USD. It offers “personalized customization and delivery of a MacBook Air equipped with OpenClaw.”
This means their business isn’t just pre-installing a “Lobster,” but encapsulating it within a MacBook, along with customized services to train the Lobster into a tailored Agent.

This type of service likely taps into the future real commercial needs of “Lobsters.” Users probably don’t want a ready-to-use “Lobster,” but a fully trained, customized one. Behind this demand is the need for deep, tailored Agent services.
Simply put, we foresee many companies relying on Agents, but how to train or “coach” these Agents will become an unavoidable demand.

Fifth: On-Chain Trading Legends — The Most Tempting Poison Apple and Traffic Bait
On social media, the most viral stories about OpenClaw are always about getting rich quickly.
Currently, one of the few verifiable cases on-chain is the account 0x8dxd on the prediction market Polymarket, which is a high-frequency trading bot. Many social media posts speculate that this bot relies on OpenClaw for high-frequency trading, but PANews’s analysis shows the actual controller behind this address has never published such claims. The stories claiming “OpenClaw designed an automated trading system earning $10,000/month” are just soft ads, mostly promoting their automated trading programs for monthly income.
The reason for highlighting this case is to serve as a warning: as previous PANews research confirms, Agents and high-frequency trading bots are not the same. People are often misled and fantasize about their mystery.

Final Reflection: Those Who Teach You to Make Money Are the True Winners
After analyzing the entire ecosystem, we find a phenomenon more worth pondering than any single case: sharing “I made X amount with OpenClaw” on social media is itself a very stable business.

When a post like “I earn 50,000 USD/month with OpenClaw” goes viral, traffic becomes a lure. The author naturally directs viewers to paid communities, consulting, or product links.
“Showing off income” is the top of the funnel for acquiring customers, and “making money stories” are the strongest marketing material. This creates a perfect self-reinforcing cycle: selling success stories — attracting traffic — monetizing traffic — then sharing “secrets” as a mentor — gaining even greater leverage.
Essentially, this has spawned a new business chain: bottom layer is proxying and infrastructure, middle layer is skill packs and workflow replacements, top layer is industry solutions and consulting.
If you understand sales, marketing, and have traffic, OpenClaw can drastically reduce costs and amplify productivity.
Many on the market share how they optimized workflows with OpenClaw, achieving many conveniences, but it’s far from a secret to wealth. The real core of this “herd effect” is the traffic story itself: when you desperately push through the crowd to the front, you find nothing there — and you are the one waiting.
(PS: This article was not created using “Lobster” stories.)