Called $BTC bullish on Jan 15, 2023: $BTC rose 46% in 6 months.
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@Robostrategy Not investment advice
Cite asCryptoQuant has tracked the directional calls on STX by @Rewkang on X since Jan 2021: not yet scored on STX (as of Nov 11, 2026).
Other assets covered (11)
9 STX calls on record, a thin history.
Relative view by default: fewer than 30 STX calls or days on record.
Sentiment timeline shows relative sentiment within this analyst's history. A perma-bull showing 8 bullish : 2 bearish in a bear market sets that as their baseline. If you notice any errors, claim @Rewkang to submit corrections.
Called $BTC bullish on Jan 15, 2023: $BTC rose 46% in 6 months.
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On the robotics and physical AI VC market Over the last few weeks and months, there’s been a lot of fear in the markets. We believe those concerns are overblown. Let me pose a question - were OpenAI, Anthropic, Cursor, Coreweave, etc good investments to make in 2021/2022? The answer here is pretty clear cut. Were there AI companies from that period that weren’t good investments? Sure, but that’s the nature of venture and a small allocation to the top winners could still more than compensate for many poor picks. Look at this chart. US investments in Robotics has still not even reached pre-ChatGPT levels of investment in AI. At the same time, frontier Physical AI models are already more capable than GPT3.5 at the time ChatGPT came out. Roughly half of Anthropic/OpenAIs revenue comes from software development related use. Software development makes up 2-3% of the global labor market. Robotics represents physical work which is roughly 50% of the global labor market. While I’m very bullish on AI for knowledge work over the next few years, I don’t have a prediction of what happens over the next few weeks and months. Agents have only just started to become really useful for most people and that growth has yet to be realized. Could a continued short term market correction in AI spill over into private Physical AI/robotics? Short term maybe some funding rounds for lower quality companies take longer or don’t get done - there are some pools of capital that cross over. For the companies that otherwise are destined to win, we don’t think there will be much impact. Winners are going to win. Fluctuations in latent demand for automated physical labor for one shouldn’t change much and if they do, matters little given how little existing penetration and superior economics that robotic solutions provide. While I don’t have a strong macro view and am definitely not this bearish, the strongest example could be to look at the Great Depression. Tractors were invented before this period but roughly a fifth of the growth in tractor-owning farms between 1920 and 1954 came during the 1930s. "The Dust Bowl could blacken the sky, but it could not make the horse cheaper than the tractor." Companies that face idiosyncratic circumstances will have idiosyncratic results. Technological advances here are accelerating, not slowing and if companies can grow like weeds then we expect funding to follow even if Anthropic raises at $1.3T instead of $2T in its IPO. Most investors have only started dabbling in this sector and there are mountains of capital looking to get proper exposure. The IPOs of SpaceX and Anthropic are historically large liquidity events that we expect to propel continued downstream VC funding for months and years. Let me clear - there will always be a period where the wheat is separated from the chaff. Picking matters. Some capital has gone into winners but also some capital that has gone into losers and we will see the divergence in outcomes over the next few years. But with the backdrop of agentic robotic breakthroughs, Multimodel models accelerating R&D for physical AI while also proving a new approach of code as policy, and massively scaled data collection, our optimism for the sector is unwavering
View original →We probably have the top humanoid companies reaching 1 million annual production rate in 2029-2030 But robots even at smaller scale have an incredible economic impact. The largest robotics company in the world, Intuitive Surgical (~$150b), sells ~2,000 robot systems per year. Unitree sold ~5,500 humanoids last year. Symbotic sells 5,000-10,000 SymBots per year. Take an example of Tesla and Figure scaling production at their current rate and hypothetically each achieving 50,000 robots / year next year. A robot in the US working 2-3 shifts would produce >$100,000 of economic value compared to fully loaded labor equivalent. That would be >$500k of economic value over a 5 year useful life. Annually, that would be >$25 billion of future economic value created at that 50k robot / year scale. This value will be split between customer and robot OEMs, but I expect the value realization split to shift from customers to OEMs. Hardware will be a bottleneck and machines will be increasingly leased, not sold. This has been evidenced by the large RaaS contracts we have seen in the industry this year. Hardware will not be a commodity.
View original →Dominance of closed source models is an existential threat to Nvidia Jensen has been clear since earlier this year that strong open source models are essential It’s game theoretically optimal for Nvidia to build frontier open source models optimized for its own hardware https://t.co/vq9laGOZ6e https://t.co/3dw9Tz4ErK
View original →We’re ringing the Nasdaq closing bell with a bunch of @RoboStrategy portfolio robots next week Before that we’ll be hosting a Robotics Forum with the founders and senior leaders from @Apptronik, @standardbots, @DynaRobotics, @DexmateAI, @mavenrobotics, @PathRobotics, @noxmetals and more Who are the best large public equity managers interested in robotics? We have a few spots reserved for them. https://t.co/8bUbNpGEUC
View original →Anyone waiting for the ChatGPT moment for robotics is going to miss the first wave of adoption @Standardbots are already deployed to hundreds of customers across almost every state @DynaRobotics has robots deployed across restuarant chains, hotels, logistics, data centers @PathRobotics has robots welding across defense, oil & gas, energy companies and signed a $600m deal with HII, one of the largest shipbuilding companies We will eventually build a big single model that works out of the box for anything, but specialized models are starting to tackle massive labor markets today
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