Leland Char

✴️ From AMD-powered AI clusters in Vegas to solid rocket tech in New Mexico, American deeptech startups just raised serious capital to build the infrastructure of the future. Here’s who’s scaling. 🇺🇸 TensorWave (Las Vegas, CA) #AIInfra TensorWave raised $100M in Series A to accelerate deployment of the world’s largest liquid-cooled AMD GPU cluster (8,192 MI325X units). Founded by Darrick Horton 🌊, Jeff Tatarchuk 🌊, and Piotr Tomasik 🌊, the company is backed by Magnetar, AMD VENTURES, LLC, Prosperity7 Ventures, Maverick Silicon, and Nexus Venture Partners. ❗ Hiring: 9 openings - https://bit.ly/4knX0tR 🇺🇸 TensorStax (San Francisco, CA) #DataOps TensorStax secured $5M in Seed funding to bring autonomous, agentic systems to modern data infrastructure. Founded by Aria Attar and Biraj Silwal, the round was led by Glasswing Ventures with participation from Bee Partners, S3 Ventures, Mana Ventures, Gaingels, and notable angels. ❗ Hiring: 4 openings - https://bit.ly/3Se0wep 🇺🇸 X-Bow Systems (Albuquerque, NM) #DefenseTech X-Bow Systems closed $105M in Series B funding to rapidly deliver advanced solid rocket motors and defense tech. Led by CEO Jason Hundley and CTO Max Vozoff, the round included #LockheedMartin, #Boeing Ventures, Razor's Edge Ventures, Balerion Space Ventures, and others. ❗ Hiring: 21 openings - https://bit.ly/4k6nNv2 🇺🇸 GLASS Imaging (Los Altos, CA) #ImagingAI Glass Imaging raised $20M Series A to bring AI-powered digital imaging to smartphones, drones, and wearables. Founded by Ziv Attar and Tom Bishop, the round was led by Insight Partners with participation from GV (Google Ventures), Future Ventures, and Abstract. ❗ Hiring: 9 openings - https://bit.ly/3H3iXA7 👤 Tagging: Casey Rabiea, Head of Talent, for AI imaging and vision roles 🇺🇸 Upscale AI (San Francisco, CA) #VideoAI Upscale AI, founded by Herman Yang, Kevin Weatherman, Mike Chang, and Seth Yates, raised $5.5M across Pre-Seed and Seed to scale its AI-powered video generation platform. Backers include nvp capital, M12, Microsoft's Venture Fund, Eniac Ventures, SuperAngel.Fund, and Breakpoint Capital. ❗ Hiring: 5 openings - https://bit.ly/3H1tITC 🌟 Want to stay ahead on who’s hiring and raising across U.S. tech? Let’s connect, and follow me for more updates like these! #StartupFunding #HiringNow #FundingAndHiring #Innovation

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Sam Altman just folded Jony Ive’s stealth studio io into OpenAI in a deal reportedly worth $6.5 billion in stock, proof that the next AI interface may be something you can hold, not just download. Reality check for Bay Area founders building physical products: • Capital first. Tooling, safety certs, and first production runs can eat eight-figure checks before a dollar of revenue, while most new VC dollars continue to chase asset-light AI and SaaS. If you are talking to mega-funds like A16z, Sequoia, Lightspeed, DCVC, expect them to pour capital into enterprise and industrial bets rather than consumer fickleness. • Exit roulette. SPAC darling Embark Trucks went public at a $5.2 billion valuation and slid below $110 million 16 months later—hardware can vaporize faster than it scales. Let’s not even get started on Humane or Juicero. • Bay Area burn. Industrial space in San Jose now averages about $26 per sq ft, and top hardware engineers command globally premium salaries, stretching runways thin. • Perspective. Apple’s first Macintosh shipped in 1984 at $2,495, a visionary bet that still needed volume to break even. Meta’s Quest line shows there is still room for breakthrough devices: Quest 2 has moved tens of millions of units and generated billions in content sales, but Meta poured billions into R&D and still faces relentless cost pressure. How can a startup compete with that? Question for the builders: What tactics are actually helping hardware startups survive this gauntlet? Share below. Read the official OpenAI Press Release here: https://lnkd.in/gBgYkbfM

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$100 M for one engineer sounds outrageous—until you run the numbers for Meta ...or look at the GPU invoices Back of the Napkin Math and sources in comments. Revenue math • Meta booked $164.5 B in ad revenue during 2024 on ~4 B monthly active people—about $41 ARPU.¹ • A $100 M package amortises to $25 M per year. • Raising ARPU by just 0.02 % (+ $0.008) adds ≈ $32 M/yr—already positive ROI. Compute math • Management now guides $64–72 B of 2025 capex—nearly all pointed at AI infrastructure.⁴ • Databricks shows Llama 3.3 serving optimisations can slash inference costs by up to 80 %.³ • Kernel-level tricks like FlashAttention-2 double training throughput.⁵ One engineer who lands breakthroughs like these can redirect hundreds of millions straight to the bottom line. Tiny teams, massive upside • < 200 people turned Reels into a $10 B run-rate business in 18 months.² • A handful of PhDs once tweaked News-Feed ranking and grew session length 1 %—worth billions in extra ad impressions. Talent arbitrage, not extravagance •Boards routinely approve $19 B acquisitions (WhatsApp) or $30 B buybacks on shakier forecasts. A nine-figure “micro-M&A” for a human asset who compounds value every sprint is cheap insurance at Meta’s ≈ $1.6 T market cap. •And yes—Zuck is really dangling nine-figure offers to top AI talent.⁶ Bottom line In today’s AI land-grab, the real risk isn’t overpaying for genius—it’s under-recruiting and watching competitors train on your users. Agree? Think $100 M is still too rich? Convince me below. #AIeconomics #TalentCapital #Meta

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The Headline family is experiencing incredible momentum, and today our portfolio company DeepIP is announcing a $25M Series B, bringing total funding to $40M.  This is the kind of company that doesn’t just add AI to a workflow, but it sets the standard for an entire category. The momentum speaks for itself: 1️⃣ 10x ARR growth in < 18 months 2️⃣ Trusted by 400+ law firms and leading corporate IP teams globally 3️⃣ 2M+ chats on the DeepIP platform We’ve had the chance to back FX (Francois-Xavier) L. and Edouard D., leading their Seed round with Headline. Watching them take on a problem as complex and high-stakes as patent work has been genuinely impressive. And working with them has been an absolute pleasure: these 2 are coupling very high ambition and humility. Tech built in Europe, but opening the US office very early and FX starting a life in NYC with his family with 0 hesitation in order to build a global category leader in the IP industry. What convinced me early is still what stands out today: patent teams don’t need another standalone AI tool. They need something that fits the way the work actually happens: documents, long-running matters, multiple stakeholders, and zero room for sloppy context handoffs. Big congrats to the whole DeepIP team + Korelya Capital, Balderton & Serena Proud that we’re doubling down at Headline and continuing the support for what’s next!

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CZ isn't just defending Binance. He is declaring war on the legacy media. Suing the WSJ is a calculated move to reclaim the narrative. In 2026, the primary battle is fought in the headlines, not just the courts.

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Martin Eberhard played a key role early at Tesla and even brought in Elon Musk. Then he was pushed out of the company for pennies. Founders get most of the attention in Silicon Valley, but the ecosystem is built on the people who take a chance and join early stage ventures. Unfortunately, those same people are often the easiest to cut out. Founders can dilute early employees, change vesting terms, and restructure equity with little effort and zero consequences (you can literally do it in Carta in 5 minutes). Daniel Kottke was a close friend of Steve Jobs and helped build the Apple I and II computers. He got no equity (Steve Wozniak eventually gave him a few of his own shares). Brian Acton co-founded WhatsApp and stayed through the Facebook acquisition. When he left Facebook over privacy concerns, he had to walk away from $850 million in unvested stock. There’s more awareness now around how vesting works, what happens during a liquidity event, and how to think about re-ups and dilution. That’s good. But the truth is, if someone really wants to screw you, they can. It still comes down to one thing: trust the people you work with. Or don’t work with them at all.

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We invested in Lightberry, a fast-growing company giving humanoid robots the ability to see, hear, speak, and collaborate naturally with humans. At Blitzscaling Ventures, we invest in companies building AROW: Agentic Robotics Orchestration & Workflows (see link in comments), the emerging software layer that enables AI agents to operate in the physical world. Humanoid robotics is reaching an inflection point. Hardware partners like Unitree, working alongside Lightberry, have made major advances in mobility and physical capability. Robots can now walk, balance, and operate in human environments. The remaining challenge is intelligence and interaction. Lightberry provides this missing layer. Their software enables robots to perceive environments, communicate conversationally, and act autonomously in real-world workflows. Instead of remote-controlled machines, robots become usable teammates out of the box across workplaces, public spaces, and everyday operations. We believe robotics is entering a software-defined phase where value shifts from hardware to orchestration and autonomy. Lightberry sits at this critical intersection, aligning directly with our AROW thesis as AI agents move from digital systems into physical environments. We were impressed by CEO Ali Attar and the team’s vision that robotics adoption depends on human interaction as much as mechanical capability. We’re proud to support Lightberry as they help define the software layer powering the humanoid robotics era.

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