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[video] This is what excites me about @Auki beyond the robots. The posemesh is not built for one sector. It is built for any machine that needs to understand and navigate physical space. Drones. Already happening. Alpha AI - a licensed autonomous drone operator in Hong Kong is using

[video] A 300kg semi-humanoid robot just arrived at the @Auki HQ. The Galbot S1. Strongest semi-humanoid on the market right now. 20kg lift per arm. One of the first units to ever leave China. And the Auki team already has it doing anomaly detection, live robot feeds and navigating to

[image] I have been staring at this $VELO chart and its one of those setups where structure is quietly forming while everyone else watches red candles. Right now we are hugging a long-term support zone that was historically respected, the same area that acted as a pivot before the big

[video] Most people look at $VELO and see a token. They are missing the infrastructure underneath it. CP Group - one of Asia's largest conglomerates -backs Velo directly. Their Chairman sits on the board. Lightnet, the licensed settlement partner, is connected to TrueMoney, the most

[video] Let me tell you what is actually happening at the base:0xf9569cfb8fd265e91aa478d86ae8c78b8af55df4 | @Auki HQ right now and why I have been saying the market has not woken up yet. A large Asian retailer with 800 stores in a single country just issued a formal Request for

[video] Sometimes I look at $DMTR and think, this is what crypto should have been from day one. While many projects focus on only money and themselves, Dimitra is literally out there connecting 7 million farmers across 68 countries, running AI scans on a million square kilometers of

[text] Let me explain something that most people are still missing about base:0xf9569cfb8fd265e91aa478d86ae8c78b8af55df4. Robots needs to understand the space it is walking into. The layout. The shelves. The products. The workflow. Without that context the robot is just expensive

[video] This is bigger than scanning two QR codes. The real breakthrough is removing the headache from robot deployment. Traditionally, getting a robot into a new environment can mean mapping, configuration, localization, technical setup and probably finding the one engineer who

[image] That screenshot just broke my brain a little. Four robots. Online. Live. Managed from a single dashboard inside Cactus. ✅Booster-k1. ✅Galbot. ✅Bracketbot. All sitting in the same fleet view like it is the most normal thing in the world. Stop and think about what that

[text] The robotics race isn't just about who builds the best robot. It's about who builds the learning loop around the physical world. Unitree: robots → real-world deployment → feedback → better robots. @Auki : robots → mapped environments → spatial intelligence →

[video] Running a store with 120,000 products across 8,000 fixtures and still relying on manual checks is not a system. It is organised chaos. @CactusXR just mapped that entire environment in a live 3D store view. Zoom in and the shelf detail holds. Zoom out and it simplifies cleanly.

[text] This is how I think about @Auki too. The market can look at Auki today and see Cactus, retail scanning and spatial computing. I’m looking at what can potentially be built on top of the infrastructure underneath it. AI already understands the digital world. The next massive

[video] Let me explain why I’m so convicted on base:0xf9569cfb8fd265e91aa478d86ae8c78b8af55df4 because I think the market is still looking at the wrong part of the story. Everyone is watching the robot race. Who builds the best humanoid. Who ships the most units. Who gets the biggest

[video] Most people think robots are about execution. Nils just explained why that is only 25% of the picture. Every business runs on a loop, capture information about your environment, analyze it, make decisions, then execute. Most robotics companies jumped straight to execution and

[video] Everyone talks about how impressive a robot is. I’m starting to care more about how easily you can deploy 1,000 of them. Because a robot that needs engineers on-site, custom setup and constant babysitting doesn't scale. This is where $AUKI gets interesting. @Auki is working

[video] This demo is worth watching twice Fam! Galbot receiving a scan job from the network, executing it, sending the data to a reconstruction node. Clean. Autonomous. No human in the loop. But the real story is not the demo. It is what it represents. Robots are now a native node

[text] In todays world when it comes to AI you think it is being built for screens. @Auki is building for the world where goods are made, moved, sold and maintained. Shared spatial infrastructure. Real coordination between people, robots and AI. All Physical. Retail proved the

[image] People are looking at NVIDIA’s Physical AI thesis and thinking: “Robots are going to be huge.” I think there’s a second-order opportunity being missed. If Physical AI becomes a $100B+ business, the valuable layer won't stop at the robot. Every machine operating in the real

[video] App-free navigation. 20,000 sqm. 600 booths. Deployed in 11 hours. Live. Contractors everywhere. Floor plan changing by the minute. Double the size of anything the Auki network has done before. No controlled environment. No perfect conditions. Just execution under pressure at

[text] This is mind blowing. Took me some time to read but worth every minute. Nils just published one of the most thoughtful pieces on robotics deployment I have read. Just rigorous thinking on where robots should go, why, and what the data is actually worth. This is the mind

[image] Most people think Hong Kong is just a financial hub. Look at this map again. That entire blue region is the Greater Bay Area. Economy the size of Canada. Land the size of Croatia. Guangzhou, Shenzhen, Dongguan, Foshan, Hong Kong all within a few hours of each other. ▫️ You

[video] $DMTR is now a sponsor of the European Climate Summit 2026, hosted by @IETA in Barcelona. Carbon markets are maturing fast. The real conversation now is about data & how it's measured, how it's verified, how it flows between systems. Dimitra operates exactly at that

[video] One European retailer. 13,000 floor staff. 30 to 60 minutes per person per day lost to a single problem. Not slow execution. Not lack of workers. Not knowing what to do next. That is the unlock @Auki is describing here. The bottleneck in physical retail was never the hands.

[video] Beijing just put on humanoid robot games. Robots competing in public. In front of crowds. Like it is already the new normal. Back in March Nils laid out exactly why this moment was coming. China broke more humanoids this year than America produced. The gap is not about GPUs or

[video] Agriculture doesn't need more technology for the sake of technology. It needs technology that actually understands farming. Different crops. Different countries. Different farmers. Different levels of digital readiness. That’s where @dimitratech stands out. Across 30+