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SemiAnalysis Weekly Ep. 016 - Unitree IPO This week we dig into humanoids, Unitree and the future of robotics. With reyk knuhtsen and Niko Timestamps: 00:00 — Intro, deployment reality vs. hype 02:39 — Unitree Business: why go public, margins, pricing 05:48 — Parallels to DJI and BYD, economies... show more

Jordan Nanos

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Founder and CEO of The Bot Company Kyle Vogt—who also cofounded Twitch and Cruise—shares a pint and discusses robots doing your household chores, the autonomy industry, Tesla vs Waymo, and how future $100b companies will look different. Timestamps: 00:00 Intro 00:38 The Bot Company pitch 02:05 Single-task vs. multi-task robots 04:27 What is the Turing test for robotics? 05:52 Why this time is different for home robots 08:42 The last mile in robotics and self-driving 09:47 Viral demos and hype cycles 10:38 Commercializing frontier tech 13:06 Self-driving CapEx 14:15 Regulatory hurdles 16:18 Tesla vs. Waymo 19:21 Why Kyle regrets selling Cruise 21:39 The next $100 billion company Podcast on Spotify/YouTube/etc too!

Founder and CEO of The Bot Company Kyle Vogt—who also cofounded Twitch and Cruise—shares a pint and discusses robots doing your household chores, the autonomy industry, Tesla vs Waymo, and how future $100b companies will look different. Timestamps: 00:00 Intro 00:38 The Bot Company pitch 02:05 Single-task vs. multi-task robots 04:27 What is the Turing test for robotics? 05:52 Why this time is different for home robots 08:42 The last mile in robotics and self-driving 09:47 Viral demos and hype cycles 10:38 Commercializing frontier tech 13:06 Self-driving CapEx 14:15 Regulatory hurdles 16:18 Tesla vs. Waymo 19:21 Why Kyle regrets selling Cruise 21:39 The next $100 billion company Podcast on Spotify/YouTube/etc too!

John Collison

104,597 views • 1 year ago

$Unitree Robotics just filed to go public on March 20th targeting a $7 billion valuation. Most people have no idea what this company actually is. Here is why this might be the most important robotics IPO of the decade. Unitree shipped 5,500 humanoid robots in 2025. Figure AI shipped roughly 150. Agility Robotics shipped roughly 150. Unitree did $246 million in revenue last year, up 335% year over year, and they are actually profitable. Figure AI is valued at $39 billion with near zero revenue and is still private. Unitree wants $7 billion with real numbers. The price point is what separates them from everyone else. Their G1 humanoid sells for $13,500. Competitors charge $50,000 to $130,000. Their newest R1 humanoid launching in April starts at $4,900. Nothing comparable exists at that price anywhere in the world. They hold roughly 32% of the global humanoid market and 70% of the quadruped market. The moat is vertical integration. They self develop over 90% of core components including motors, reducers, controllers, sensors, and all software. Real clients include PetroChina, Sinopec, State Grid, and China Mobile. This is not a research project. Product is shipping at scale. This is listing on China's STAR Market, not Hong Kong, not the US, which makes access extremely difficult for international investors. The risks are real. The US House Select Committee on the CCP has formally requested Unitree be blacklisted. Their robots appeared in PLA military exercises in 2024. Tariffs have already nearly tripled the US price of the G1. $TSLA Optimus is targeting sub $20,000 pricing with automotive scale manufacturing backed by $NVDA compute. If they execute, the price advantage shrinks fast. But this is still the only profitable pure play humanoid robotics company in the world growing at 335% a year, valued at a fraction of its loss making peers. Goldman projects the humanoid market at $38 billion by 2035. Morgan Stanley goes to $5 trillion by 2050. Unitree currently holds the largest market share of any humanoid manufacturer on the planet. Full breakdown coming soon. $TSLA $NVDA$

Unitree Robotics just filed to go public on March 20th targeting a $7 billion valuation. Most people have no idea what this company actually is. Here is why this might be the most important robotics IPO of the decade. Unitree shipped 5,500 humanoid robots in 2025. Figure AI shipped roughly 150. Agility Robotics shipped roughly 150. Unitree did $246 million in revenue last year, up 335% year over year, and they are actually profitable. Figure AI is valued at $39 billion with near zero revenue and is still private. Unitree wants $7 billion with real numbers. The price point is what separates them from everyone else. Their G1 humanoid sells for $13,500. Competitors charge $50,000 to $130,000. Their newest R1 humanoid launching in April starts at $4,900. Nothing comparable exists at that price anywhere in the world. They hold roughly 32% of the global humanoid market and 70% of the quadruped market. The moat is vertical integration. They self develop over 90% of core components including motors, reducers, controllers, sensors, and all software. Real clients include PetroChina, Sinopec, State Grid, and China Mobile. This is not a research project. Product is shipping at scale. This is listing on China's STAR Market, not Hong Kong, not the US, which makes access extremely difficult for international investors. The risks are real. The US House Select Committee on the CCP has formally requested Unitree be blacklisted. Their robots appeared in PLA military exercises in 2024. Tariffs have already nearly tripled the US price of the G1. $TSLA Optimus is targeting sub $20,000 pricing with automotive scale manufacturing backed by $NVDA compute. If they execute, the price advantage shrinks fast. But this is still the only profitable pure play humanoid robotics company in the world growing at 335% a year, valued at a fraction of its loss making peers. Goldman projects the humanoid market at $38 billion by 2035. Morgan Stanley goes to $5 trillion by 2050. Unitree currently holds the largest market share of any humanoid manufacturer on the planet. Full breakdown coming soon. $TSLA $NVDA

KawzInvests

74,078 views • 5 months ago

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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Lukas Ziegler

11,690 views • 3 months ago

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123,121 views • 4 months ago

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The Humanoid Hub

45,611 views • 1 year ago

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Peter H. Diamandis, MD

6,235,242 views • 7 months ago

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Patrick OShaughnessy

893,210 views • 4 months ago

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10,708 views • 9 months ago

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Farzad 🇺🇸 🇮🇷

53,348 views • 6 months ago

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion

Riley Brown

36,532 views • 7 months ago

This week's episode is mostly about robots. Kyle Vogt is one of very few entrepreneurs to found 3 business valued at over a billion dollars - Twitch in 2006, Cruise in 2013, and The Bot Company in 2024. If you've caught any other Uncapped episodes you've probably heard some investors saying that home robots are close and they'll be a giant new market. Kyle Vogt is building them, and talking to him made me as bullish as ever. Timestamps: (0:00) Introduction (0:34) Why robotics is suddenly booming (3:31) Special-purpose vs generalized (5:32) Designing robots people actually use (9:00) Building for scale and affordability (12:17) The myth of humanoids (15:04) Trust, safety, and privacy in your home (17:51) Robotics intelligence (21:01) Why Kyle keeps starting hard companies (22:32) The 100-person rule and elite teams (26:10) How to actually ship (27:28) What home robotics will do first (35:05) Home security and other applications (38:41) Tesla vs Waymo (41:08) When to sell a company (42:41) Marathons

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Jack Altman

289,176 views • 9 months ago

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

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Y Combinator

156,937 views • 2 months ago

Ventura Labs Ep. 38 - Maciej Kula Maciej (Maciej Kula) is the Co-Head of education at Latent Holdings (Laτenτ Holdings) and Founder of (Learn Bittensor) Timestamps: 2:02 - Introduction 2:57 - Maciej Kula meets Bittensor 6:00 - The Journey into Bittensor 8:43 - Understanding Bittensor: A Decentralized AI Network 11:55 - TAO and Alpha Halving: Key Concepts Explained 14:52 - The Dynamics of Miner Registration and Price Effects 18:07 - Exploring the Sum of Prices and Market Dynamics 20:47 - The Impact of Inactive Subnets on Pricing 24:08 - The Future of Bittensor and Community Insights 39:07 - Understanding Complexity in Bittensor 40:28 - Navigating Changes Post-dTAO 42:28 - Optimal Strategies for Alpha 48:39 - Exploring Proxy Wallets and Their Risks 52:40 - Future Use Cases for Proxy Wallets 55:11 - Common Questions and Community Engagement 59:40 - Advice for Newcomers to Bittensor 1:02:16 - Liquid Alpha: Understanding Its Impact

Ventura Labs Ep. 38 - Maciej Kula Maciej (Maciej Kula) is the Co-Head of education at Latent Holdings (Laτenτ Holdings) and Founder of (Learn Bittensor) Timestamps: 2:02 - Introduction 2:57 - Maciej Kula meets Bittensor 6:00 - The Journey into Bittensor 8:43 - Understanding Bittensor: A Decentralized AI Network 11:55 - TAO and Alpha Halving: Key Concepts Explained 14:52 - The Dynamics of Miner Registration and Price Effects 18:07 - Exploring the Sum of Prices and Market Dynamics 20:47 - The Impact of Inactive Subnets on Pricing 24:08 - The Future of Bittensor and Community Insights 39:07 - Understanding Complexity in Bittensor 40:28 - Navigating Changes Post-dTAO 42:28 - Optimal Strategies for Alpha 48:39 - Exploring Proxy Wallets and Their Risks 52:40 - Future Use Cases for Proxy Wallets 55:11 - Common Questions and Community Engagement 59:40 - Advice for Newcomers to Bittensor 1:02:16 - Liquid Alpha: Understanding Its Impact

Ventura Labs

17,124 views • 1 year ago

As AI moves into robots, aviation, and surgery, one question matters more than performance: Who’s accountable when something goes wrong? This interview with Inference Labs 's co- founder Colin G (intern arc) dives into verifiable inference, cryptographic guarantees, and why trust is the missing layer for physical AI. TIMESTAMPS: 00:00 — Intro to Inference Labs and its mission 03:29 — Core AI verification and audit systems 05:51 — Why Web3 is needed for AI trust 11:28 — Robotics, safety, and accountability 18:52 — Human–robot trust and the future

As AI moves into robots, aviation, and surgery, one question matters more than performance: Who’s accountable when something goes wrong? This interview with Inference Labs 's co- founder Colin G (intern arc) dives into verifiable inference, cryptographic guarantees, and why trust is the missing layer for physical AI. TIMESTAMPS: 00:00 — Intro to Inference Labs and its mission 03:29 — Core AI verification and audit systems 05:51 — Why Web3 is needed for AI trust 11:28 — Robotics, safety, and accountability 18:52 — Human–robot trust and the future

Web3 Wesley

28,697 views • 7 months ago

Uncapped with Joe Lonsdale, one of the most prolific builders and investors in tech. Timestamps: (0:00) Intro (0:32) Why Joe keeps building (3:53) Consensus and right (5:39) What Palantir got right (6:53) Pulling forward innovation (9:32) AI vs social media (12:23) Making AI work for America (18:03) Department of War (21:16) Betting on defense (26:51) Robotics, bio, and energy (32:16) Investing in the AI era (35:38) Peptides opportunity (38:35) Texas vs California (40:12) Political correctness

Uncapped with Joe Lonsdale, one of the most prolific builders and investors in tech. Timestamps: (0:00) Intro (0:32) Why Joe keeps building (3:53) Consensus and right (5:39) What Palantir got right (6:53) Pulling forward innovation (9:32) AI vs social media (12:23) Making AI work for America (18:03) Department of War (21:16) Betting on defense (26:51) Robotics, bio, and energy (32:16) Investing in the AI era (35:38) Peptides opportunity (38:35) Texas vs California (40:12) Political correctness

Jack Altman

79,511 views • 3 months ago

$Bret Weinstein, Viva Frei and Jimmy Dore tangle over who shot Charlie Kirk, and how. 00:00:00 Three people, three positions, one killing 00:01:16 Sponsor: SaunaSpace 00:03:39 Sponsor: MUD\WTR 00:05:27 Where each of us has landed as of today 00:05:47 Viva Frei: it was a bullet from the Losee roof 00:08:41 Jimmy Dore: the case for a cover-up 00:16:41 When a Question Becomes an Accusation 00:18:15 Morality as a Substitute for Argument 00:21:27 Sponsor: Helix 00:22:42 A Biologist's Toolkit 00:25:35 George Zinn and the Reflex to Confess 00:29:42 Paving the Courtyard 00:38:11 The Exploding Microphone 00:45:09 Joe Kent Says He Was Stopped 00:46:50 The Mic That Should Have Recorded It 00:52:58 O'Neill, the Hamptons, and 39 Minutes 00:57:28 "You Don't Have an FBI" 00:59:26 Butler and the Roof Nobody Covered 01:06:27 Harpole, Shawn Ryan, and the Drones 01:11:48 The Prosecutor's Fallacy 01:15:29 Drones and a Plane at 200 Feet 01:22:06 Foreign Nexus, or Domestic 01:29:07 Retroactive Continuity 01:33:21 What Ballistics Can and Cannot Show 01:38:10 A Potemkin Explanation 01:44:14 TPUSA After Charlie 01:49:20 Iran, Motive, and What Charlie Opposed 01:51:26 "Who I Fear Is the People..." 01:56:31 A Nation, or Whatever Controls It 02:00:43 The Phone, the Necklace, the Car 02:04:39 The Emergency Cleanup Order 02:07:20 When No Answer Will Be Believed 02:09:34 Conspiracy Psychosis 02:10:47 Closing Thoughts$

Bret Weinstein, Viva Frei and Jimmy Dore tangle over who shot Charlie Kirk, and how. 00:00:00 Three people, three positions, one killing 00:01:16 Sponsor: SaunaSpace 00:03:39 Sponsor: MUD\WTR 00:05:27 Where each of us has landed as of today 00:05:47 Viva Frei: it was a bullet from the Losee roof 00:08:41 Jimmy Dore: the case for a cover-up 00:16:41 When a Question Becomes an Accusation 00:18:15 Morality as a Substitute for Argument 00:21:27 Sponsor: Helix 00:22:42 A Biologist's Toolkit 00:25:35 George Zinn and the Reflex to Confess 00:29:42 Paving the Courtyard 00:38:11 The Exploding Microphone 00:45:09 Joe Kent Says He Was Stopped 00:46:50 The Mic That Should Have Recorded It 00:52:58 O'Neill, the Hamptons, and 39 Minutes 00:57:28 "You Don't Have an FBI" 00:59:26 Butler and the Roof Nobody Covered 01:06:27 Harpole, Shawn Ryan, and the Drones 01:11:48 The Prosecutor's Fallacy 01:15:29 Drones and a Plane at 200 Feet 01:22:06 Foreign Nexus, or Domestic 01:29:07 Retroactive Continuity 01:33:21 What Ballistics Can and Cannot Show 01:38:10 A Potemkin Explanation 01:44:14 TPUSA After Charlie 01:49:20 Iran, Motive, and What Charlie Opposed 01:51:26 "Who I Fear Is the People..." 01:56:31 A Nation, or Whatever Controls It 02:00:43 The Phone, the Necklace, the Car 02:04:39 The Emergency Cleanup Order 02:07:20 When No Answer Will Be Believed 02:09:34 Conspiracy Psychosis 02:10:47 Closing Thoughts

Bret Weinstein

321,971 views • 7 days ago

Ex-OpenAI Tech Lead, Justin Lebar joins SemiAnalysis as an Visiting Fellow to Burn $10,000 in 3 hours to find dozens of AMDGPU LLVM, x86 LLVM, NVPTX bugs 00:00 - Intro & Justin’s background 00:59 - How compiler fuzzing works 01:56 - Why we did this project 02:48 - The gap in GPU vs. CPU compiler testing 04:13 - The major AMD & x86 bugs we found 05:38 - Using LLMs to read code & find vulnerabilities 07:56 - The impact of UltraCode mode 12:18 - Doing this without AI (Time & manual limits) 15:03 - The future of AI in software development 16:17 - What’s next + key takeaways for devs

Ex-OpenAI Tech Lead, Justin Lebar joins SemiAnalysis as an Visiting Fellow to Burn $10,000 in 3 hours to find dozens of AMDGPU LLVM, x86 LLVM, NVPTX bugs 00:00 - Intro & Justin’s background 00:59 - How compiler fuzzing works 01:56 - Why we did this project 02:48 - The gap in GPU vs. CPU compiler testing 04:13 - The major AMD & x86 bugs we found 05:38 - Using LLMs to read code & find vulnerabilities 07:56 - The impact of UltraCode mode 12:18 - Doing this without AI (Time & manual limits) 15:03 - The future of AI in software development 16:17 - What’s next + key takeaways for devs

SemiAnalysis

73,686 views • 2 months ago

THE LIBRARY OF MINDS: EPISODE 4 - Stanley Tang (Stanley Tang) Co-founder of $DASH and one of the earliest YC founders to scale from dorm room to IPO. Builder, operator, and investor redefining how technology moves the physical world. We discuss: • The unexpected journey from a college project to DoorDash • Overcoming operational challenges with creative solutions • Embracing chaos and innovation • The role of robotics and automation in the future of delivery • Balancing customer experience with rapid scaling Plus: Insights into customer love as a core value, the importance of iteration, and how DoorDash navigates the complexities of a tech-driven operational business. (00:00) - Intro (01:00) - Who is Stanley Tang (01:29) - Early childhood: computers, curiosity, and a physicist dad (02:46) - The class project that became DoorDash (06:38) - The first real delivery (and how it all began) (09:08) - Product-market fit before software (11:06) - Doing things that don’t scale - to the extreme (15:54) - Competing against consumer behavior (16:25) - How DoorDash built operational excellence (20:01) - Speed vs. quality: finding the right balance (22:53) - Robotics, drones, and the future of delivery (26:58) - The darkest moment (and spending 40% of cash to do what’s right) (30:34) - Chaos never ends - learning to embrace it (31:48) - Training thousands of dashers before automation (33:48) - Closing thoughts + talk to Stanley’s digital mind on Delphi

THE LIBRARY OF MINDS: EPISODE 4 - Stanley Tang (Stanley Tang) Co-founder of $DASH and one of the earliest YC founders to scale from dorm room to IPO. Builder, operator, and investor redefining how technology moves the physical world. We discuss: • The unexpected journey from a college project to DoorDash • Overcoming operational challenges with creative solutions • Embracing chaos and innovation • The role of robotics and automation in the future of delivery • Balancing customer experience with rapid scaling Plus: Insights into customer love as a core value, the importance of iteration, and how DoorDash navigates the complexities of a tech-driven operational business. (00:00) - Intro (01:00) - Who is Stanley Tang (01:29) - Early childhood: computers, curiosity, and a physicist dad (02:46) - The class project that became DoorDash (06:38) - The first real delivery (and how it all began) (09:08) - Product-market fit before software (11:06) - Doing things that don’t scale - to the extreme (15:54) - Competing against consumer behavior (16:25) - How DoorDash built operational excellence (20:01) - Speed vs. quality: finding the right balance (22:53) - Robotics, drones, and the future of delivery (26:58) - The darkest moment (and spending 40% of cash to do what’s right) (30:34) - Chaos never ends - learning to embrace it (31:48) - Training thousands of dashers before automation (33:48) - Closing thoughts + talk to Stanley’s digital mind on Delphi

Dara

64,095 views • 10 months ago

More good News for Intel, AI Model Trends, Future of Datacenter With Ben Bajarin and Jay Goldberg 顾忠南 Chapters (00:00) Intel's New Partnership with Tesla (03:02) Market Reactions and Implications for Intel (05:53) Google's Collaboration with Intel (08:56) The Semiconductor Market Dynamics (12:06) Valuation Discrepancies in the Semiconductor Sector (14:59) Deep Dive into Semiconductor Supply Chains (17:56) Future of Data Centers and Energy Efficiency (22:38) The Evolution of Data Center Design (31:24) AI's Impact on Software and Productivity (39:10) Token Usage and Efficiency in AI (42:35) Cost Dynamics in the Semiconductor Industry

More good News for Intel, AI Model Trends, Future of Datacenter With Ben Bajarin and Jay Goldberg 顾忠南 Chapters (00:00) Intel's New Partnership with Tesla (03:02) Market Reactions and Implications for Intel (05:53) Google's Collaboration with Intel (08:56) The Semiconductor Market Dynamics (12:06) Valuation Discrepancies in the Semiconductor Sector (14:59) Deep Dive into Semiconductor Supply Chains (17:56) Future of Data Centers and Energy Efficiency (22:38) The Evolution of Data Center Design (31:24) AI's Impact on Software and Productivity (39:10) Token Usage and Efficiency in AI (42:35) Cost Dynamics in the Semiconductor Industry

The Circuit

17,871 views • 4 months ago