TSLA investor, After IPO 2010–present. SPCX investor, IPO - present. B787 FO. If there isn’t a blue check—it isn’t me.

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TESLA AFTER A SPACEX IPO Many analysts assume a static pie — i.e. a scarcity mindset. They think a SpaceX IPO hurts Tesla longterm by splitting Elon’s (and investors’) attention. They somehow forgot that Elon Musk built both Tesla & SpaceX simultaneously to trillion-plus valuations. Tesla has always been volatile, a SpaceX IPO is just this week’s excuse. Traders make money from volatility. These analysts are ALREADY WRONG. Within 3 months of AJ’s doomsday 2/25 analysis, Tesla & SpaceX are deepening a mutually beneficial partnership. This isn’t a zero-sum game. Instead of each company remaining on a trajectory to be an $8 Trillion company, Elon Musk leveled up to a new 100 Trillion market cap goal. Instead of competition between Musk companies and divided loyalty, Elon Musk has tasked Tesla/SpaceX/xAI with one audacious mission: remove the constraint of Earth and its limited resources by kick-starting a true Space Economy flywheel. Digital Optimus, the Terafab and AI Space Compute are just the start. A SpaceX IPO primes the flywheel with initial operating cash. This is the biggest undertaking in human history — an investment opportunity that could exceed today’s Earth economy by 10x, 100x, or even 100,000x. What’s the actual limit once humanity goes galactic? The “Elon Musk community” doesn’t split — it gets stronger as the mission converges. 🧵 Next, don’t ignore the early signals & kick yourself later
Given that I have built two companies in widely different fields to trillion dollar plus valuations simultaneously, I am might be getting a few things right once in a while
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Brings back memories of RoboTaxi service area maps…. The gifts that just keep giving.
Elon really went with Macrohard and Macroharder. 😂 The naming is getting out of hand
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PROTOTYPE V PRODUCTION SpaceX’s goal is clear: fully reusable production rockets. The next Starship launch is a prototype and test flight, and an important step with the insertion of a real payload into orbit. It also costs an estimated $250 million. A test flight is not an indication of the scaled economics of a factory produced fully reusable Starship. SpaceX is moving from prototypes to scale. How much will costs drop? One data point is Voyager’s Starlab Starship launch contract at $90 million. Competition can’t compete - their costs remain around the prototype cost without reusability and mass factory production. Reuse will change absolutely everything about the developing space economy. Just think how many businesses become viable with this type of decrease in launch costs. SpaceX understands these economics — they created them. Watch the concrete: Starship launch pads being built at Starbase, Florida, and Louisiana. They are the signal.
上一个帖子的数字,可能有朋友看得一头雾水: 容量明明是猎鹰9号的大约10倍,为什么单位成本却几乎持平? $SPCX 先说结论:不是容量没变强,是这次飞行的“总成本”被估得很高。 Aaron用的是很保守的算法—— 他把这次整套星舰(助推器+飞船)按2.5亿美元来算。 因为还是早期车辆,还没回收,直接海里溅落,等于把整套造价都摊在这一次飞行上。 26颗V3带来26 Tbps,用2.55亿去除,每Tbps大约980万美元。 猎鹰9号现在已经高度复用、非常成熟,他们估算的每Tbps大约900万美元。 所以: 容量:这次 ≈ 10倍猎鹰9号单次发射
总成本:这次也被估成远高于一次猎鹰9号 两边一对冲,单位成本就变成“刚追平”。 后面为什么能再降16倍?就三件事同时发生: 一次从装26颗变成装60颗
开始回收复用,不再把整套火箭成本全摊在一次飞行上。 
造火箭越来越便宜 现在只是星舰第一次正式赚钱,还没开挂。 第一次干活,账就已经能打平猎鹰9号了。
这才是重点。
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Let’s float an idea. Say there were two stocks that were trading at $372 and $148 respectively. An analyst from a major bank comes out with a BANGER of a research report. You check his thesis against the fundamentals. He is RIGHT: Together these companies are a vertically integrated physical AI stack with no competition that can scale globally. The stack is hard to replicate - factories, Starships, AI compute by the GW. Would that be a time to buy? How about if there were signs of Max Fear? How about then? The analyst sees the value doubling mid-term (1-2 years) and an upside of 10-100x. Let’s do the math together, multiply your investment dollars in these companies by: ♦️ 2 ♦️10 ♦️100 Do you like these numbers? Do your own research and come to your own conclusions. Historically companies that own - and define a new industry - that changes the world outperform even these ambitious targets. Ask yourself: Who else has the infrastructure in place to scale REAL WORLD PHYSICAL AI? Who else has the full VERTICAL STACK? Who is in the race for 2,3,4,5? Who is providing the picks & Shovels? (These are also good investments if you want a category bet). What do you think? What did I miss?
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Hyperscaling = accelerated timelines ♦️Compute is clearly necessary for AI, but requires massive capital. ♦️Capital markets want to see when their investment is monetized. With xAI that answer is 4 months! A fast return for almost guaranteed profitable demand. ♦️This financing plus demand means that xAI can build out compute on a steady cadence, getting ever more efficient and reducing costs. Being a hyperscaler is a competitive advantage. And one that allows them to control their own destiny. Thanks @here_and_now_be nitter.net/here_and_now_be/status…
Replying to @Amy787
"The hyperscaler is just a financing system. It’s a real estate game. The oil analogy is exact: a liquid global oil market didn’t hurt OPEC, because the moat was having the oil in the first place." ~Peter H. Diamandis metatrends.substack.com/p/wh… 해자 하이퍼스케일러
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Right now I think a Chinese company ends up number 2 - but I don’t know which, simply because of their incredible capacity to scale manufacturing and lead in installed infrastructure. But they are lacking on parts of the full stack - ♦️lithography machines and AI compute and AI inference chips that need to sit in the robots and car and devices. ♦️Real world data at scale large enough for the long tail to train the devices to act within the real world. Basically the brain part that changes the device from the programmed robotics we have today to something smarter and more adaptable. How long do you think it is before a Chinese company has a full stack for Vertical AI? Which Chinese companies are in the lead? I lean towards Baidu and don’t discount XPeng or Li Auto. Who am I missing? Thanks @MichaelNurseOnX
Replying to @Amy787
Seems 99% correct. China also has some level of capacity for these things.
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马斯克一句「命运太爱讽刺了」,把未来泄密了。 彼得·蒂尔当年那句吐槽现在全应验在同一个人身上:我们想要飞行汽车,结果只得到了140个字符。 马斯克先买下Twitter改成X,现在特斯拉下一代Roadster又要用SpaceX冷气推进器实现短暂悬停甚至“飞起来”,10月1日就要揭晓。 当年被当成笑话的未来,如今被同一个人用两家公司同时推进,这波命运安排确实够讽刺啊
Fate loves irony so much
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The engineering behind Tesla’s Semi redesign Battery: Switched from purchased 2170 cells to in-house 4680s. Less battery mass and fewer kWh, same range, lower cost. Same cells already used in Cybertruck, Model Y and Cybercab. Drivetrain: Steel-caged rotor replaces the earlier carbon-fiber design, which makes it cheaper, more reliable, more efficient as well as lighter. The bar-wound stator is shared with Cybertruck and already built at volume, for better real-world range across weather, terrain and payload. Steering: Fully electric steering drops hydraulic pumps and fluids. Lighter, quieter, more precise and redundant. It also lays the groundwork for autonomy (FSD). Tesla calls it the first Class 8 truck with electric steering, the wider wheel cut gives it a turning radius close to a Model Y. Thermal system: The Megamanifold runs cabin HVAC plus battery and drivetrain heating/cooling. Cabin heat can come from excess powertrain heat instead of being wasted. It’s architecture is shared with Cybercab. Factory: First powder-coated Class 8 truck, no conventional paint shop, which reduces solvent use and painting wastewater. Cybercab also skips a conventional paint shop. The heavy-duty EMS conveyor can carry 39 assembled frames. The battery line is among Tesla’s most automated. Stampings, batteries, drive axles, HV distribution, cooling modules and seats are made in-house. Sparks plant, NV, is sized for 50,000 trucks a year. Operations: Very little maintenance. Tesla reports >98% YTD fleet uptime in 2026. Parts of the pre-trip inspection are automated with electronic logs of completed checks. The driver sits in the center for a clearer view both ways, backed by the same camera suite as Tesla’s cars, hardware that also underpins future autonomy and jackknife prevention. The European spec drops traditional side mirrors and is built on the same Nevada line. A heavy truck that almost drives like a Model Y. Photo: @tesla_semi
Semi is here Today, we're launching high volume production
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Amy retweeted
Let’s float an idea. Say there were two stocks that were trading at $372 and $148 respectively. An analyst from a major bank comes out with a BANGER of a research report. You check his thesis against the fundamentals. He is RIGHT: Together these companies are a vertically integrated physical AI stack with no competition that can scale globally. The stack is hard to replicate - factories, Starships, AI compute by the GW. Would that be a time to buy? How about if there were signs of Max Fear? How about then? The analyst sees the value doubling mid-term (1-2 years) and an upside of 10-100x. Let’s do the math together, multiply your investment dollars in these companies by: ♦️ 2 ♦️10 ♦️100 Do you like these numbers? Do your own research and come to your own conclusions. Historically companies that own - and define a new industry - that changes the world outperform even these ambitious targets. Ask yourself: Who else has the infrastructure in place to scale REAL WORLD PHYSICAL AI? Who else has the full VERTICAL STACK? Who is in the race for 2,3,4,5? Who is providing the picks & Shovels? (These are also good investments if you want a category bet). What do you think? What did I miss?
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Amy retweeted
🚨🚨 Historic Stock Buying Opportunity Amy hits it out the park, but with these caveats. SpaceX will grow faster in 2027-29. Tesla will grow really fast in 29 and probably catch SpaceX in revenues and profits by 2030. There is real likelihood of a merger. No merger, I'd be heavier SpaceX. Right now, I'm believing merger. I'm 50/50
Let’s float an idea. Say there were two stocks that were trading at $372 and $148 respectively. An analyst from a major bank comes out with a BANGER of a research report. You check his thesis against the fundamentals. He is RIGHT: Together these companies are a vertically integrated physical AI stack with no competition that can scale globally. The stack is hard to replicate - factories, Starships, AI compute by the GW. Would that be a time to buy? How about if there were signs of Max Fear? How about then? The analyst sees the value doubling mid-term (1-2 years) and an upside of 10-100x. Let’s do the math together, multiply your investment dollars in these companies by: ♦️ 2 ♦️10 ♦️100 Do you like these numbers? Do your own research and come to your own conclusions. Historically companies that own - and define a new industry - that changes the world outperform even these ambitious targets. Ask yourself: Who else has the infrastructure in place to scale REAL WORLD PHYSICAL AI? Who else has the full VERTICAL STACK? Who is in the race for 2,3,4,5? Who is providing the picks & Shovels? (These are also good investments if you want a category bet). What do you think? What did I miss?
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SpaceX’s Minihard story is about more than building another giant AI data center. It is about turning data-center construction into a repeatable industrial process. INSANITY of completing 500 MW of ai data center every month. The historical parallel is America’s WWII carrier program. Kaiser’s shipyards delivered 50 Casablanca-class escort carriers. USS Munda went from keel laying to commissioning in just 101 days. The breakthrough was a repeatable production system that delivers enormous, complex machines at scale.
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I still remember people saying it would just be 10 Cybercabs in a small geofence. Now there are 126.
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RT @SPCX100T: Wall Street’s most optimistic estimates for SpaceX $SPCX building data centers still fall short of Musk’s targets. Looks li…
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Instead of shipping plastic from Earth, Pioneer Labs wants to make it on Mars from Martian resources. Mars CO₂ + water + electricity can be turned into acetate, which acts as the microbe’s carbon “food“. The bacteria consume it, grow and store PHA/PHB bioplastic inside their cells, similar to how humans store excess energy as fat. The plastic can then be extracted and used for films, parts, or 3D-printed structures. Acetate is also part of the safety mechanism. The microbe depends on a human-supplied carbon source. Stop feeding it and it stops growing. Pioneer also found that Mars’ extreme lack of liquid water rapidly damages the organism outside its protected bioreactor. NASA’s planetary-protection rules aim to prevent forward contamination, so a microbe that cannot survive outside a controlled bioreactor could potentially be allowed. To make it work better with Martian resources, Pioneer used directed evolution, start with a promising Earth microbe, grow many generations under increasingly Mars-like conditions and keep selecting the variants that perform best. Beneficial natural mutations accumulate over time. This is only step one. Pioneer sees a roadmap of roughly five biological capabilities: 1. Bioplastics → building materials 2. Transparent biomaterials → greenhouse structures 3. Perchlorate cleanup → detoxify Martian regolith 4. Soil enrichment → add usable nutrients and organic matter 5. Photosynthesis → eventually produce biomass and oxygen @Pioneer__Labs @erika_alden_d
Today, Pioneer Labs is announcing our first step towards terraforming Mars. 🚀🌼 With equipment that fits in just a single rocket launch, we can convert Martian dirt, water, and air into enough building materials to construct a small city on Mars. To do it, we made the first microbe for Mars. We found the best microbe on Earth and used evolution to teach it how to source all of its nutrients directly from Martian materials. The first astronauts will be greeted with safe shelter already filled with water, oxygen, and rocket fuel for the return journey. This is the first step toward using biology to make Mars a friendly place for life. It lets us live off the land and helps us build the next great frontier. It's the first of five organisms we need to green Mars ⬇️
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马斯克刚回ARK 分析师:如果到2030年算力只涨40倍,我会很失望。 40 倍倍????? ARK那张对数图把SpaceX的主动AI算力画得很清楚: 2025年底才1.1GW(几乎全是地面绿色部分),2026年2.1GW,2027年突然跳到7.5GW,2030年32.6GW,2031年直接66.6GW。紫色轨道算力从2028年才开始真正起量,后面占比越来越大。 40倍已经是超预期加速了,马斯克还嫌低。 这到底是提前布局星地一体算力的野心,还是严重低估电力、散热、发射和供应链约束的妄想? 你们觉得他这次能兑现吗? $SPCX
Replying to @wintonARK
If we are that low, I would be quite disappointed
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Amy retweeted
Replying to @ABC
Even this alone makes @DOGE worth it
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Amy retweeted
This is going to be the most epic @Tesla product unveiling of all-time 🤯
See you next week
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Tesla Optimus at several hundred per week. Head to several thousand per week by year end. $TSLA
Tesla's Optimus ramp is quietly accelerating 🔥 According to a report from The Information, Tesla scaled Optimus output at Fremont to several hundred units per week in August 2026—a roughly 10x increase compared to Q2 🔥 Here is what is happening under the hood: 1️⃣ Tesla repurposed its former Model S/X line space in Fremont to build Optimus. Management reportedly informed employees of plans to commission a continuous automated assembly line by late 2026 capable of delivering over 1,000 units per week. The eventual long-term roadmap targets roughly 20,000 units per week. 2️⃣ Fremont is not the final mass-production destination; it is the pilot template. The manufacturing tooling, fixture tolerances, and automated sequences validated here will serve as the blueprint before high-volume lines roll out at Giga Texas. 3️⃣ Hand assemblies remain the most intricate subsystem to automate. Each hand and forearm still requires over 100 small screws and precision parts assembled manually. External suppliers have faced yield issues keeping up with volume, leading to fixture misalignment and post-assembly rework. 4️⃣ These units are not shipping to external commercial customers. Tesla is absorbing them internally for factory tasks, stress tests, and data collection. Because general task learning remains difficult, Tesla reassigned large portions of its Autopilot data-labeling team to robotics. Operators in motion-capture suits and sensor rigs across Arizona, Colorado, and Florida are feeding teleoperation data to double training datasets past 1 million hours. Hardware scaling is outpacing autonomous generalization. Tesla's playbook is clear: force hardware down the manufacturing cost curve first, deploy units internally at scale, and use fleet telemetry to crack the software.
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IS THE UPSIDE PRICED IN? The base case on models shows what is priced in - the Bull Case shows potential growth. These numbers are the Bull Case. Is there an Elon Musk premium on the multiple? YES. USE THE RIGHT BENCHMARK Many use the multiple benchmark against either Auto or mature companies in their revenue producing phase. The correct benchmark is another growth company that can define an industry. WHAT PHASE OF RERATES ARE WE? Right now SpaceX is actually getting value for Starlink’s airline deals and some of the Hyperscaler business added to the base case, with place holders for future bets like Direct To Cell, and nothing for Terafab and the other joint ventures. These will be added to the base case as Wall Street sees Revenue and costs…. APPLE V BLACKBERRY There is an Elon Musk premium for sure, but the upside is added in phases as analysts expand TAMs and percentages of Market Share. That is like saying analysts properly modeled the IPhones impact on debut. They didn’t. There was a Steve Jobs premium, but they had to expand the TAM and market share for decades. Thanks @erharuspex for adding this topic
Replying to @Amy787
The problem here is that a lot of the future growth is already priced in. You are paying a lot for a potential future which might not happen.
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And Tesla and SpaceX have Elon Musk. No one else does! Thanks @Clifford98506
Replying to @Amy787
Absolutely. I would add one ore thing though - Elon. Nobody else has Elon.
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Volatile short term. Long term gets valued in and the range lifts up and never returns to today’s prices. That is the rerate.
Replying to @Amy787
the part nobody wants to hear is the report can be right and the stock can still dump lol
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