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Just wanted wanted to see what a mega satellite constellation really looks like - and why SpaceX uses completely different orbital angles (53°, 70°, 97° polar, 43° etc.) Switch shells on/off and finally helped to understand why each inclination exists- Data visualized using over 10,000+ Starlink satellites orbiting Earth...

13,165 views • 3 months ago •via X (Twitter)

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🚨NEW: Elon Musk explains the reason behind the SpaceX and xAI merger. "In order to understand the universe, you must explore the universe. That's the motivation behind the combination of SpaceX and xAI is to accelerate humanity's future in understanding the universe and extending the light of consciousness to the stars. So in the grand scheme of things, when you look at how much energy Earth is actually using for civilization, we're only right now using, call it roughly 1% of the potential energy of Earth. And if we wanted to use even a millionth of the sun's energy, that would be roughly a million times more energy than civilization currently uses. The only way to access that energy, the energy of the sun is to extend beyond Earth. Earth is really a tiny, tiny dust Mote in a vast darkness. The sun is 99.8% of all mass in the solar system, so you have to expand beyond the tiny dust mode that is earth to make any significant dent in using the sun's energy like says, you'd have to expand roughly a million times just to get to 1,000,000th of our sun's energy, and then going beyond that, exploring extending to the Galaxy. So the the next step beyond Earth data centers is our Earth orbital data centers, and we'll be launching with SpaceX orbital data centers at the 100 to 200 gigawatt per year level, not cumulative, I mean, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth."

DogeDesigner

510,925 views • 5 months ago

I think Starlink is wildly undervalued. It’s a $1+ trillion company in the making on its own. A lot of people still think Starlink is just “internet from space,” but in reality, it’s one of the most important communications networks ever built. In 2025 alone, Starlink generated $11.4 billion in revenue, accounting for roughly 61% of SpaceX’s total revenue. It served more than 10 million customers globally and generated $4.4 billion in operating profit w/ EBITDA margins of 63%. Starlink is a cash machine. Fyi, independent analysts forecast Starlink will generate approximately $20 billion in revenue, $14 billion in EBITDA, and over $8 billion in free cash flow in 2026… plus consumer broadband will continue to expand rapidly, while aviation, maritime, Starshield, and direct-to-cell services will open entirely new markets. The real advantage is that Starlink owns the entire stack. SpaceX builds the satellites, they launch the satellites, they operate the network, and they manufacture the user terminals. No competitor comes close to that level of vertical integration…. On top of this, starship will make the story even more crazier with next-generation satellites, 100+ satellites per launch, dramatically lowering launch costs, and thousands of new satellites being deployed each year, the cost of serving additional customers continuing to fall, while the network & tech keep getting stronger. If you really want to understand why SpaceX is at a $2T valuation… start with Starlink. Starlink already generates the majority of SpaceX’s revenue, profit, and free cash flow. It helps fund Starship development, supports expansion across the company, and provides the financial engine behind SpaceX’s long-term ambitions. The bull case is based on real revenue, real profits, real customers, and a moat that gets wider every year… NOT hype. The way I see it, Starlink will become the most valuable communication company in human history and a $1 trillion valuation doesn’t sound crazy to me for this business/technology alone.

Teslaconomics

28,227 views • 1 month ago

A single gigawatt of orbital compute requires roughly 200 Starship launches and Elon Musk is not satisfied with gigawatts (Save this). The target is 100 gigawatts of orbital compute per year which means SpaceX is staring down a launch requirement that no organization in human history has ever attempted at anything close to that scale. He acknowledges that scaling to gigawatts per year in orbit is a very hard challenge, but then points to something most people have missed entirely, SpaceX has already demonstrated the foundational capability, because building and launching thousands of Starlink satellites per year is the same industrial problem applied to a different payload. When you understand the orbital compute satellite as a larger version of Starlink V3 with an Nvidia GPU rack at the center instead of a communications payload, the manufacturing and launch scaling challenge stops looking like science fiction and starts looking like a production ramp. The infrastructure to support that ramp is already being built. SpaceX is currently capacitizing for thousands of launches per year, two launch towers and pads in South Texas are operational, the first pad at Cape Canaveral is nearly complete, a second is on the way at Launch Complex 37, and additional locations are already in discussion. As the CFO says it "You need to have those cost curves as you ramp up in volume and time, your costs go down." The vision he describes for what this eventually enables is striking in its specificity. He imagines asking Grok a question on his phone, the inference running on an orbital compute satellite, and the answer coming back down through Starlink direct-to-cell, a complete AI query processed entirely in space, from prompt to response, without touching a single terrestrial data center. That moment, he says, is closer than the industry thinks, with initial capability demonstrations possible as soon as next year. The bottleneck that stands between now and that moment is not the satellite design, the cooling physics, or the silicon, all of which SpaceX has already worked through.

Milk Road AI

67,791 views • 1 month ago

In our last conversation, Gavin said data centers in space will be the most important thing in 3-4 years. He explains that means "racks in space" and thinks orbital compute will solve the watts shortage: "When people hear data centers in space, they picture a Pentagon-sized building in space. That's not what it is. A Blackwell rack weighs 3,000 pounds. It's eight feet high. Four feet deep. Three feet wide. It's racks in space. It has these solar wings that are probably 500 feet long on each side. You keep it in a Sun-synchronous orbit, so those solar panels are always in the sun. And then because it's in an exactly Sun-synchronous orbit, the radiator, which extends behind it for hundreds of feet is in the shade. You link these racks using lasers traveling through vacuum which are already on every Starlink. SpaceX operates the world's largest satellite fleet, which is 98 or 99% of all satellites in orbit. Every Starlink, they're cooling it today. I think Starlink V3 is going to operate at 20 kilowatts. A Blackwell rack is only 100 kilowatts. And people talk a lot about density. Well, if you're connecting the racks with lasers through vacuum, you can make the rack bigger physically. In space, there's all sorts of things that SpaceX can do. They also now operate the largest data center on Earth. I've spent a lot of time at Starbase over the years, and I've talked to a lot of SpaceX engineers. It is the most talented group of engineers on planet Earth, and they're very confident they have solved this."

Patrick OShaughnessy

267,921 views • 2 months ago

Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.

Ricardo

2,907,261 views • 7 months ago

Chamath was given a simple choice, 100 shares of Anthropic, 100 shares of OpenAI, 100 shares of SpaceX, pick one stack (Save this). He picked SpaceX without hesitation, and his reasoning is worth unpacking fully because it cuts to the heart of how the best investors think about technology bets. His take on OpenAI and Anthropic was actually generous. He acknowledged that Anthropic is the superior enterprise product, his own fund uses it as their foundational model and that ChatGPT has built one of the most powerful consumer brands in the history of technology. But the case for SpaceX is built on something completely different, it is not one business, but rather a platform for multiple businesses that compound off each other. Start with what Starlink already is today. Starlink generated $11.4 billion in revenue in 2025, growing roughly 50% year over year, and represented 61% of SpaceX's total $18.7 billion in revenue. The EBITDA margin on the connectivity segment hit 63%, compared to 38–39% for the largest traditional telecom companies on earth. Subscriber count went from 2.3 million in 2023 to over 10.3 million by Q1 2026, spanning more than 160 countries, and revenue is projected to reach $15.5 billion in 2026. Chamath Palihapitiya core insight is that the global communications infrastructure is profoundly broken and he is right. Roughly 2.6 billion people globally still lack reliable internet access, and even in developed markets, rural connectivity is patchy, expensive, and controlled by legacy monopolies with no incentive to upgrade. Starlink is a replacement cycle for an entire layer of global infrastructure that has barely changed in 30 years. Every maritime vessel, every commercial aircraft, every military unit, every rural hospital, every developing-world government that wants connectivity now has one viable option that didn't exist five years ago. The maritime and aviation segments alone carry ARPUs of $250 to $25,000 per month per customer, orders of magnitude above the consumer subscription. But Chamath's most interesting point is what he called embedded optionality, the idea that SpaceX's business model doesn't stop at earth. SpaceX now has the only fully reusable heavy-lift rocket system in the world with Starship, and it is the only company currently capable of launching the next generation of Starlink V3 satellites that carry roughly 10 times more capacity than the current constellation. Every new market SpaceX opens on earth, direct-to-cell with T-Mobile, enterprise contracts, government agreements becomes a template that can theoretically be replicated the moment humans establish a permanent presence elsewhere. A Starlink-equivalent for a lunar base, a Mars colony, or an orbital station is the same product with a different launch address. Anthropic and OpenAI are betting on winning a model race where the finish line keeps moving. SpaceX is betting on owning the physical infrastructure layer of the next era of human civilization, on earth and eventually beyond it. One of those bets has a floor and the other doesn't. That is why Chamath picked SpaceX and Elon Musk

Milk Road AI

112,927 views • 1 month ago

We sat down with Philip Johnston, co-founder and CEO of Starcloud, at MIT to discuss why the future of data centers might be in space. After graduating Y Combinator less than 2 years ago, Starcloud just raised an impressive $170M Series A at a $1.1B valuation led by Benchmark and EQT Ventures & Growth. The conversation covers everything from solar physics and cooling systems to GPU economics, radiation hardening, launch costs, and satellite design. Philip also shares what it takes to build a unicorn deeptech startup. We discuss his experience with YC, the skepticism around their demoday launch, and the crazy last minute race to get Starcloud’s first satellite onboard their scheduled Falcon flight. Full episode is here on X and at any of the links below (see comment). Timestamps: 00:00 - Intro 01:12 - What is Starcloud? 02:44 - Why do data centers need to go to space? 06:15 - Can’t we just build more solar panels on earth? 11:10 - Economic analysis of Starcloud 19:56 - How does Starcloud’s cooling work? 28:26 - Training an LLM in space 32:07 - Addressing critics on space Twitter 34:23 - Is Starcloud overfunded? 35:59 - Will demand for data centers keep going up? 38:11 - GPU lifespan and disposal in space 39:47 - Bus structures 41:43 - Starcloud’s origin and founders 49:29 - Fundraising, Competition, and Meeting Expectations 53:29 - Satellite size and collisions 56:29 - Manufacturing Bottlenecks 1:00:20 - Starcloud 1 tests 1:01:57 - Acceleration after YC 1:03:43 - Testing on Earth 1:05:06 - Motivations for Starcloud 1:06:45 - Data centers on the Moon 1:08:12 - Interacting with AI companies 1:08:18 - What’s next for Starcloud? 1:14:01 - Other uses for Starcloud satellites 1:17:56 - Lunar hotels and space elevators 1:24:28 - Complementary business ideas to Starcloud 1:29:51 - Philip’s competitive twin 1:32:18 - Philip and Mike’s thoughts on YC 1:36:04 - Advice for young entrepreneurs Elon Musk Scott Manley Kyle Hill Hank Green

632nm

46,599 views • 3 months ago

Elon Musk just explained why the SpaceX IPO is an energy story and the energy constraint is why he believes space becomes the only viable path for AI to scale (Save this). The argument he is making is one of the most important and least understood things happening in technology right now. The United States currently consumes roughly 500 gigawatts of electricity on average. To double that capacity which is what continued AI expansion on the current terrestrial trajectory would eventually require would mean building as many power plants as currently exist in the entire country. He is not arguing that this is technically impossible, just that communities are not willing to accept it, that permitting timelines make it unrealistic, and that the hard ceiling on Earth based power generation means the expansion of AI compute will eventually hit a wall that no amount of capital can overcome on the ground. His observation is that in space, that wall does not exist. A solar panel in orbit produces roughly five times more power than the same panel on Earth, operates in continuous sunlight uninterrupted by weather or nighttime, and benefits from the vacuum of space as a completely passive cooling system meaning the two largest operating costs of any terrestrial data center, energy and cooling, are effectively eliminated. He then said that you could theoretically increase harnessed energy by a factor of one million and still be using less than a millionth of the sun's total energy output. This is the underlying physics of why SpaceX filed with the FCC to launch up to one million solar powered AI satellites, and why they described that constellation in their own filing as a first step toward becoming a Kardashev Type II civilization capable of harnessing the full power of the sun. To understand what makes this credible rather than visionary, you need to understand what SpaceX already controls that no other company on earth possesses. Starship, once operating at full cadence, can deliver 100 to 150 tons of payload to orbit per launch, at a target cost per kilogram that is an order of magnitude lower than any existing vehicle. Musk's stated ambition is to scale Starship to 10,000 to 30,000 launches per year, a frequency that would allow the deployment of orbital compute infrastructure at a pace that is currently unimaginable with any existing rocket. He told xAI staff earlier this year that achieving space-based AI at scale will eventually require manufacturing facilities on the moon, building solar panels and heat dissipation structures from lunar silicon and aluminum, and launching them into orbit from there rather than from Earth's surface because the moon's lower gravity makes the economics of launch dramatically more favorable. SpaceX's S-1 filing explicitly states that its launch capabilities could enable massive AI compute satellite constellations with the potential for millions of satellites for orbital data centers, with the first launch potentially occurring as soon as 2028. Google and Alphabet are already in advanced talks with SpaceX about deploying space-based data centers. Starcloud, a startup running Nvidia H100 GPUs in orbit, has already validated that high-performance AI inference workloads can operate in space, with plans to scale to five gigawatts of orbital compute power by 2035. This is why Musk believes the cost crossover happens in two to three years because SpaceX's launch cost trajectory intersects with the accelerating energy constraint on the ground in a way that makes space genuinely cheaper, faster, and less regulated at exactly the moment AI demand is hitting its hardest physical limits.

Milk Road AI

12,140 views • 1 month ago