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Anshuman Kumar
@anshuman_builds
Head of Hardware at Matic, leading product research, design, industrialization, and production scaling for home robots that serve busy families
32 Following    431 Followers
.@maticrobots has huge demand and needs to grow Looking for ultra cracked hardware engineers who care about the impact of their work. Email me anshuman@maticrobots.com Love to see evidence of great fundamentals, creative thinking, attention to detail and ship at SCALE Also look how cute 🐄😇
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You can ask us @maticrobots 13000 and going .. building and shipping at 150 per day 🚀 Final Assembly in California
It’s rude to ask - a woman her age - a man his salary - a robot deployer how many robots they’ve deployed for non-research use cases
It’s rude to ask - a woman her age - a man his salary - a robot deployer how many robots they’ve deployed for non-research use cases
These Live Activity monitors bring me joy
everyone on X wants to train AI models. it's the "fun" part, but also the easiest part. we just shipped voice + gesture control as an OTA update to 10k+ real homes, and training was the smallest slice of the work. a LOT has to happen between "the model works" and "it works in your home." here's that gap 🧵
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I've seen Matic from two distinct lenses in my time here. From being a summer intern who built the first in-house anechoic room to seeing it get decommissioned for it's successor; from preorders to shipping within 48 hours; from pilot production to the 10 thousandth unit shipped! from engineer to holding the boom in the video :) It's been a crazy journey, and a glorious arc fulfilling the promises Matic started out with. Last week, we launched Matic Cues, a full scale deployment to every Matic ever shipped, unlocking a completely new way of cleaning the home you love! Super stoked to be a part of this phenomenon! @maticrobots
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I’ve only been here for a year, but it feels incredibly special to have been a small part of this journey. One of my favorite things about @maticrobots is that there really isn’t a box around what you get to work on. I’ve gone from building robots on the production floor, to digging through data, recruiting, and somehow even ending up behind a camera creating content. A lot of “wait, I’ve never done this before” followed by figuring it out anyway :) And somewhere along the way, I made some incredible friends too. As you can probably tell from the photos, I’m pretty chuffed to be here ~ because I really am :) Grateful to be here for this chapter and excited for what’s next.
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A lot of people ask why I left Waymo for Matic. To them, self-driving cars feel like a much bigger challenge than a robot vacuum. I used to think the same way, until conversations with Navneet and Mehul changed my mind. The chaos inside a home is wildly underrated as a hard problem, and that's exactly what pulled me in. Physical AI is here, and Matic is one of the first edge-computing household robots that will actually live in people's homes at scale. Huge respect to the team for staying so customer-obsessed while building it.
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I started as a mechanical engineering student at @Uni_Mumbai, doing CAD and graphics design, learning the basics. @Vertiv gave me my first shot, four years learning how the physical world actually gets built. Then I bet on myself: moved across the world for a masters in industrial engineering at @TAMU. @Tesla taught me that impossible timelines are just timelines. @amazon taught me what scale truly demands. Each chapter taught me one job, deeply. Then @maticrobots @mehul @navneetdalal @anshuman_builds did something no one else had: trusted me with all of them at once. NPI is where I live. Taking a design that exists only in engineering conversations, and building every process needed to make it real: supplier readiness, change management, production planning, quality systems. When there is no playbook, you write one. I have written many here. And inventory. Thousands of parts across multiple warehouses, every unit accounted for, without a traditional ERP. We built our own systems from scratch. Knowing exactly what you have and where it is sounds simple. At scale, it is everything. Jack of all trades, master of none, but oftentimes better than a master of one. In hardware, units do not die inside departments. They die in the gaps between them. Own the whole chain and there are no gaps. Today Cues is out in the world, and I have watched these robots roll off the line thinking: this one is mine. From a classroom in Mumbai to this. Grateful does not begin to cover it. #PhysicalAI#
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Just tinkering with no schlep is for dilettantes, not professionals.
It’s a valid customer complaint to say that @maticrobots won’t get under furniture and clean in those areas. We hear you. But there’s also another customer complaint that we found was more important, that is robots are dumb and keep getting stuck or doing the wrong thing 🧵👇🏾
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A robot that does EVERYTHING sounds nice, until you realize there's not even a human that does EVERYTHING. There's plenty of specialization in human bodies and intelligence, even within physical labor. The tools are specialized and so are the consumables. The way to home robotics utopia is to solve one problem at a time, and to solve it really well. Everything else is lazy design thesis.
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