Original title: "See OpenClaw Founder at Hackers loose: Can the lobsters do this?"

Original by Jk, Daily Planet

In March 2026, UK AI Agent Hackathon 2026, initiated by the British Imperial College of Technology Block Chain Association, was held in London. With OpenClaw as the core technology framework, this hacker pine attracted more than 1,200 registered participants, and Demo Day made a record of 5,000 online real-time viewers, once at the top of the global hot-search list on X platform。

It was seen by many participants as the world's first United OpenClaw Hackathon, the father of OpenClaw, Peter Steinberger, who flew to London personally for this hacker pine。

What are the most interesting projects

On March 7, teams from several universities presented the prototype products they had built within a week, covering a wide spectrum from agriculture to biosafety, from urban governance to DeFi protection. The following are six projects that deserve attention:

AgroMind: Satellite data + AI Agent, to make agricultural risk match real

AgroMind integrates satellite crop monitoring, meteorological data and market signals to build an agricultural supply chain risk prediction and automatic hedge systemIts core scenario is an automated workstream。

Poor information on agricultural supply chains has traditionally been a problem for money. The volatility of large commodity prices is often the result of climate hazards that were buried in a production area a few months ago, and markets wait for news to react. AgroMind wants to fill this blank. It combines satellite crop monitoring, meteorological data and market signals, and the system is already running when satellite imagery shows signs of early drought stress in a soybeans-producing region of Brazil without any official reports. It checks the inventory and current market volatility in the hands of users and drafts hedge programmes, which, if appropriate, are placed directly on commodity trading platforms. It's not an AI tool, it's an analyst sitting in front of satellite imagery, but it doesn't sleep。

ClawBio: Living Face of Bioinformatics

Bioinformatics has a long-standing problem: top analytical tools and knowledge are largely locked in several universities and a few pharmacists, and ordinary researchers simply cannot reach。

What ClawBio wanted to do, by analogy, was to do an AI model, do it again in bioinformatics。It is an open repository of biological skills, which contains proven and re-emergible analytical skills, accessible directly by any Agent, including toxin screening and hazard biofunctional recognition。

One is interesting: the user takes a picture of the drug package, Agent calls the ClawBio skills to search the local genome file and returns a personalized drug dosage card in a few seconds. The data is processed locally and no server is uploaded. This "Local-First" approach is particularly sensitive in the medical health landscape and necessary to protect privacy。

BioSentinel: recognition of pathogens to drug candidates, end-to-end automation

BioSentinel does more ambitious things. Its starting point is global public health data, where the system continuously captures information from sources such as WHO, CDC, CIDRAP, automatically locates pathogen target proteins once an emerging threat is identified, and then calls on the two computational biological tools, RFdiffusion and ProteinMPNN, to design potentially effective therapeutically integrated molecular candidates。

Before entering the next step, each candidate will also be screened by the toxin database to ensure that nothing dangerous is manufactured. The whole process can be driven by a chat interface. Researchers do not need to follow one-on-one orders to clarify their needs, and Agent is moving his own toolsAnd that's a big drop in computational biology。

London Neurosystem: From Smart City to Think City

The starting point for the project is simple: London produces daily massive sensor data, traffic, air quality, infrastructure status, but these data are largely fragmented and nobody knows what the real state of the city is at this point。

The project team used OpenClaw to access both real-time traffic traffic, air quality sensors and financial market data. Air quality has suddenly declined in a certain area, and the system will not simply log backstage and it will proactively send low-pollution route advice to nearby schools and commuters. If a street light or sensor fails somewhere, the system will also respond at a much faster rate than will be reported manually。The long-term goal of the team is to open the framework to local governments and to access existing urban systems, rather than creating new stoves。

Highstreet AI: Building a "digital worker" for a London street shop

MOST OF THE AI PRODUCTS WERE DESIGNED FOR TECHNOLOGY COMPANIES, NOT THE SHOP THAT SELLS SEAFOOD ON KINGSTON STREET。Highstreet AI wants to solve this gap。

It targets SMEs that receive mail, whatsApp messages and telephone orders on a daily basis without any IT system。

Highstreet's program is to deploy a team of collaborations, Agent: one to read what is needed, one to check real-time inventory, one to draft invoices and payment links, and finally to give the boss an "approved" button on the dashboard。

All the processors need to do is make that final confirmation. Highstreet says that this system saves a shopkeeper more than 10 hours a weekAnd there is no need to understand any technology。

AlphaMind AI: Bringing institutional investment logic to ordinary bulkers

There is a deep ditch between ordinary bulk and institutional investors, not only because of the gap in financial volumes, but also because of analytical capacity and speed of response。

AlphaMind is a product that fills this gap. Users can compare their portfolio with Barfidt’s open hold, but the system does not just show you a comparison; it analyses your asset concentration risk through OpenClaw’s Agent across multiple voucher and trading platforms, and then automatically rebalancing。

It's location: the tools of the past tell you what happened, AlphaMind tell you why, and deal with it for you。

Father Lobster, Peter Steinberger, personally

In November, the Austrian developer Peter Steinberger launched a project called "Clawdbot", which you can send through Telegram or whatsApp, which helps you manage the calendar, process mail, run scripts and even browse the web page。

NO ONE EXPECTED THIS PROJECT TO ENGULF THE GLOBAL AI CIRCLE IN JUST TWO MONTHS。OpenClaw exploded at the end of January 2026, and on February 14, Steinberger announced his accession to OpenAI to promote the development of the next generation of individuals, AI Agent, and the OpenClaw project was transferred to the Independent Open Source Foundation to continue its operations. And that's the kind of developer who just became the centerpiece of AI, because this hacker pine came to London。

The trip to London almost failed. According to the organizers, Peter suddenly found a visa problem on the eve of his departure, "the whole team was in a state of panic" until two days before the launch. Once the visa had been completed, he had also made special changes to ensure that he could participate in all the agenda as planned. The first time he walked into an Imperial Science classroom, he looked down on his cell phone, took notes, prepared speeches, and there was no "AI Red" shelf。

Peter, on this hacker pine

At the subsequent Sequoia launch party, an unvoked developer stood outside the site with rain in London, and Peter noticed that, without hesitation, he went and talked to him. Asked how the outbreak of Agent would change the future of the underlying big model, he answered simply honestly: "I don't know. I'm better at building interesting things with tools at hand."

The speech was scheduled for 30 minutes, the atmosphere was so good, the audience was having problems, Peter stayed for more than two hours. The organizers then said, "It means a lot to us, and in fairness, we owe him an apology."

When Peter left London, he left a message:"You're not looking for meaning, you're going to make meaning."MAYBE THAT'S WHAT EVERYONE IN THE AI ERA WANTS TO HEAR MOST。

OpenClaw x Web3: Great potential, but security is the biggest constraint

Steinberger himself had no interest in the encryption ring, but the submission list for the period had clearly contrasted with his personal position。On the Dorhaacks project page, several Web3 practical directions emerged。

• Agent's identity and sovereignty are the most frequent propositions. ClawOS is built on the Nostr protocol, each Agent holds an independent identity and wallet, without relying on any platform; Cortex.OS tries to solve the AI problem in Web3 so that every step of Agent 's decision-making can be traced back to the chain。

• Direct money management is another direction, with Trading Narwhal and Vibe4 Trading holding bets Agent from the Auxiliary Viewer to the direct execution of the transaction, although the OpenClaw architecture itself is not friendly to the private key。

• Governance and public oversight have also emerged with several interesting projects: WatchDog used six autonomous Agent to continuously scan British government contract detection anomalies, CivilLift allowed citizens to interact with local government through Agent, GreenClaw was a multiAgent collaborative urban safety operations centre。

But ever since, security has been the most difficult path for OpenClaw to enter Web3. Agent can access your files, API and the system, but nothing is watching what it is doing。In situations involving real assets, you need to be careful about using OpenClaw。

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