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The wild six weeks for NanoClaw’s creator that led to a deal with Docker
It’s been a whirlwind forNanoClawcreator Gavriel Cohen. About six weeks ago, he introduced NanoClaw on Hacker News as a tiny, open source, secure alternative to the AI agent-building sensation OpenClaw, after he built it in a weekend coding binge. Thatpost went viral. “I sat down on the couch in my sweatpants,” Cohen told TechCrunch, “and just basically melted into [it] the whole weekend, probably almost 48 hours straight.” About three weeks ago, an X post praising NanoClaw from famed AI researcherAndrej Karpathy went viral. About a week ago, Cohen closed down his AI marketing startup to focus full-time on NanoClaw and launch a company around it called NanoCo. The attention from Hacker News and Karpathy had translated into 22,000 stars on GitHub, 4,600 forks (people building new versions off the project), and over 50 contributors. He’s already added hundreds of updates to his project with hundreds more in the queue. Now, on Friday, Cohenannounced a deal with Docker— the company that essentially invented the container technology NanoClaw is built on, and counts millions of developers and nearly 80,000 enterprise customers — to integrate Docker Sandboxes into NanoClaw. It all started when Cohen launched an AI marketing startup with his brother, Lazer Cohen, a few months ago. The startup offered marketing services like market research, go-to-market analysis, and blog posts through a small team of people using AI agents. The agency started booking customers, and was on track to hit $1 million in annual recurring revenue, the brothers told TechCrunch. “It was going really well, great traction. I’m a huge believer in that business model of AI-native service companies that have margins and operate like a software company but are actually providing services,” said Cohen, a computer programmer who previously worked for website hosting company Wix. He had built the agents the startup was using, largely using Claude Code, each designed to do specific tasks. But there was “a piece” missing, he said. The agent could do work when prompted, but the humans couldn’t pre-schedule work, or connect agents to team communication tools like WhatsApp and assign tasks that way. (WhatsApp is to most of the world what Slack is to corporate America.) Cohen heard about OpenClaw, the popular AI agent toolwhose creator now works for OpenAI.Cohen used it to build out those final interfaces, and loved it. “There was this big aha moment of: This is the piece that connects all of these separate workflows that I’ve been building,” he said and immediately decided, “I want more of them: on R& D, on product, on client management,” one for every task the startup had to handle. But then OpenClaw scared the bejesus out of him. In researching a hiccup with performance, he stumbled across a file where the OpenClaw agent had downloaded all of his WhatsApp messages and stored them in plain, unencrypted text on his computer. Not just the work-related messages it was given explicit access to, but all of them, his personal messages too. OpenClaw has been widely pannedas a “security nightmare”because of the way it accesses memory and account permissions. It is difficult to limit its access to data on a machine once it has been installed. That issue will likely improve over time, given the project’s popularity, but Cohen had another concern: the sheer size of OpenClaw. As he researched security options for it, he saw all the packages that had been bundled into it. It included an “obscure” open source project he himself had written a few months earlier for editing PDFs using a Google image editing model. He had no idea it was there — he wasn’t even actively maintaining that project. He realized there was no way for him to validate all OpenClaw’s code and its dependencies, which, by some estimates,sprawled across 800,000lines of code. So he built his own in just 500 lines of code, intended to be used for his company, and shared it. He based it onApple’s new container tech, which creates isolated environments that prevent software from accessing any data on a machine beyond what it is explicitly authorized to use. At 4 a.m., a couple of weeks after sharing it on Hacker News, his phone started ringing non-stop. A friend had seen Karpathy’s post and was urging Cohen to wake up and start tweeting, which he did, setting off apublic discussionwith the well-known AI researcher. Attention to NanoClaw followed like a landslide. Moretweets,YouTube reviews from programmers, andnews stories. A domain squatter even snagged a NanoClaw website URL. The correct one isnanoclaw.dev. Then Oleg Šelajev, a developer who works for Docker reached out. Šelajev saw the buzz and modified NanoClaw to replace Apple’s container technology with Docker’s competing alternative, Sandboxes. Cohen had no hesitation about pushing out support for Sandboxes as part of the main NanoClaw project. “This is no longer my own personal agent that I’m running on my Mac Mini,” he recalled thinking. “This now has a community around it. There are thousands of people using it. Yeah, I said, I’m going to move over to the standard.” For all the changes these weeks have brought Cohen and his brother Lazer, now CEO and president of NanoCo, respectively, one area still needs to be figured out: how NanoCo will make money. NanoClaw is free and open source and, as these things go, the Cohens vow it always will be. They know they would be strung up as villains if they ever betrayed the open source community by changing that. Currently the Cohens are living on a friends-and-family fundraising round, they said. While they are cautious about announcing their commercial plans — in large part because they haven’t had a chance to fully formulate them — VCs are already calling, they say. The game plan is to build a fully supported commercial product with services including so-called forward-deployed engineers — specialists embedded directly with client companies to help them build and manage their systems. This will likely focus on assisting companies in building and maintaining secure agents. That is, however, a crowded field growing more crowded by the hour. But given the giant community of developers that NanoClaw just unlocked with Docker, we’re sure to hear more about this soon. Pictured above from left to right, Lazer and Gavriel Cohen.
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Peacock expands into AI-driven video, mobile-first live sports, and gaming
Peacock is making a clear bet on two things: AI and mobile-first entertainment. Based on what the streamer previewed at a press event yesterday, Peacock’s mobile app is about to look a whole lot more like a mix of TikTok, a casual gaming hub, and a streaming service. From an AI-powered “Bravoverse” vertical video experience narrated by a digital avatar of TV host Andy Cohen to vertical live NBA broadcasts and mobile games, Peacock is rolling out several new features designed to keep viewers entertained on their phones even longer. The biggest reveal was a new feature called “Your Bravoverse,” aimed at viewers deeply immersed in Bravo fandom, home to addictive reality franchises like “The Real Housewives” and “Vanderpump Rules.” The feature pulls short-form clips from more than 5,000 hours of Bravo footage and stitches them into personalized playlists. The best part (arguably) is that your guide will be a generative AI avatar of Andy Cohen, the famous reunion host for “The Real Housewives” franchise. Users will start the experience by selecting their favorite Bravo shows and iconic moments. From there, the AI builds a personalized stream of clips. Then Cohen’s avatar acts as the narrator, introducing moments, connecting storylines, and even surfacing new shows viewers might not have watched yet. Behind the scenes, Peacock says the system uses computer vision to identify key storylines and moments across its library. AI agents trained on Bravo fan behavior help determine what viewers care about most, while the platform stitches clips together across seasons and franchises. The result, according to Peacock, is more than 600 billion possible viewing variations. If Peacock wanted a passionate fanbase to test AI storytelling on, Bravo viewers may be the perfect audience. Fans of the franchise are famously devoted, and reality TV creates the perfect bite-sized clips to start with. According to the company, the average Bravo viewer watches about 24 hours of Bravo content per month, while some of the most dedicated fans watch up to 75 episodes monthly. “Your Bravoverse” launches on mobile this summer, with living room devices expected later. Additionally, Peacock is experimenting with new ways to watch live sports on mobile. The company announced that fans will soon be able to stream live games in a vertical format, powered by AI-driven real-time cropping optimized for phone screens. The feature will debut in beta during NBA games this spring. Users will find the vertical broadcasts insideCourtside Live, a mobile viewing feature Peacock first introduced during the 2026 NBA All-Star Game. Courtside Live allows viewers to switch between multiple camera angles alongside the main broadcast, creating a more immersive way to follow the action. This builds upon itsshort-form video featurelaunched last year. The feed surfaces clips from across Peacock’s catalog, including TV shows, movies, sports, and news. This summer, the company plans to expand the feature by giving vertical video its own dedicated section in the app, a move clearly inspired by TikTok, Instagram Reels, and YouTube Shorts, as streaming platforms increasingly compete with social media for viewers’ attention. Peacock isn’t alone in exploring short-form video.Disney+launched its own mobile short-form feed for U.S. users on Thursday, which features scenes and moments from its shows and films.Netflixhas also said it plans to expand its short-form video features to promote new original video podcasts. This also isn’t Peacock’s first experiment with AI. During the 2024 Summer Olympics, the platform introduced agenerative AI recapthat created personalized 10-minute summaries of the previous day’s events, narrated by an AI voice modeled after sports announcer Al Michaels. The company is also expanding its mobile gaming lineup after introducing mini-games in the app last year. The streamer is launching two new mystery games, Law & Order: Clue Hunter and Public Eye, which both come from AI gaming startupWolf Games, co-founded by Elliot Wolf, the son of “Law & Order” creator Dick Wolf. NBCUniversalannounceda partnership with Wolf Games in October to build immersive games, which involve gathering clues and using an AI assistant to help solve crimes. Plus, Peacock is adding a daily trivia experience based on the iconic game show Jeopardy!. The title joins existing games on the app, such as Wheel of Fortune and Daily Swap. All these updates hint at a bigger strategy for Peacock. Instead of competing purely as a traditional streaming service, the platform is trying to reshape its app into something much more interactive. The shift comes as the service looks for new ways to drive engagement and growth. While Peacock recently added subscribers, the platform is still operating at a loss. Peacock has grown to 44 million subscribers, up from a plateau of 41 million subscribers that lasted for three consecutive quarters last year. However, the streamerreporteda $552 million loss in Q4 2025.
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The New Chip War is Fought in the Rack
Hyperscalers are shifting from buying chips to buying entire AI infrastructure stacks, and Broadcom is positioning itself at the centre.
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Indian Startups Caught in US-Iran Crossfire are Already Feeling the Pinch
Sovereign wealth funds in the Gulf region deployed $9 billion in Indian startups over the last five years.
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Should AI Advocate for You in Court?
After petitions ‘dumped’ non-existent judgments in litigations, the Supreme Court warned that AI-generated case law could amount to misconduct.
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Samsung Galaxy S26 Series Reportedly Gets Gemini’s AI-Backed Task Automation Tool Upgrade
The Samsung Galaxy S26 series was launched in India and other global markets last month, during the first Galaxy Unpacked event of 2026. During the event, the Mountain View-based company, Google, also showcased new Galaxy AI features for the new Samsung Galaxy S26, Galaxy S26+, and the flagship Galaxy S26 Ultra. One of the Gemini AI-powered tools, AI Task Automation, allows users to delegate tedious tasks to Gemini. It is reportedly now available on the Galaxy S26 series. At the time of the announcement, the company had also confirmed that the features would be available on last year's Pixel 10 series.
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Anthropic’s Claude AI Gets Interactive Charts and Visualisations in Responses
Anthropic, on Thursday, introduced a new feature for its artificial intelligence (AI) chatbot, Claude. The new capability allows it to generate in-line visualisations, including interactive charts and diagrams in response to user queries. The visual information appears directly on the chat page and does not require any coding capabilities of the chatbot. Additionally, the AI firm highlighted that based on the conversation, Claude can also tweak and modify the visualisations with relevant information. Notably, the new feature arrives just days after the company released Code Review to Claude Code.
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OpenAI Is Reportedly Developing a Code Hosting Platform to Take on Microsoft’s GitHub
OpenAI is reportedly working on developing an alternative to Microsoft's GitHub. As per the report, the San Francisco-based artificial intelligence (AI) giant is in the early stages of developing the code hosting platform. It is said that the company decided to make the product after facing several disruptions on GitHub due to platform-based outages. Since the project is in early stages, it is unclear how the company would go about onboarding developers to make enterprises use the repository hosting platform.
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Mozilla Wants the World to Have 7 Billion AGIs
CTO Raffi Krikorian believes Mozilla is best positioned to make open-source AI systems more accessible, like how it did with Firefox.
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Figma Expands AI Integrations to Connect Coding Tools with Design Workflows
The new integration helps developers and designers collaborate more efficiently during product development.
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Aurionpro Wins its Largest Data Centre Order From Leading Hyperscaler
Valued at about ₹350 crore, the engagement covers comprehensive design, detailed engineering, and end-to-end execution of MEP works.
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Y Combinator Startup School Arrives in India
Leading figures from Razorpay, Meesho, Groww and Emergent to join Y Combinator’s flagship programme as it expands to India.
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