Serenity @aleabitoreddit

Was a sad few months for $RDDT. But glad it's finally back above $200. Reddit was doing: - $663M revenue w/ 91.5% gross margins - $204M GAAP net income - 45%+ fwd Y/Y growth after 69%+ growth. - Net profit is ~30.7% of revenue Felt very weird to see a profitable company get dragged down after earnings. But in hindsight, given the increase hyperscaler capex, the drop felt more like it's more relative opportunity cost more than fundamentals? Since a lot of inflow poured into $MU / Sk Hynix that are bottlenecked into 2029. Or with laser bottlenecks like $LITE that last into 2029 as well. Same thing happens in reverse after selloffs ig, even if fundamentals didn't change. Been seeing a lot of noise with memory optimization or Chinese players... but don't quite think you sign 16T+ LTAs if memory was getting flooded or not used anytime soon. Same with optical players... if in earnings, they state anything they make gets bought, I don't quite think a lot of the noise has material effect on their fundamentals. Regardless, nice to see some recovery with familiar faces like $HOOD, $HIMS, and $RDDT though.

1. I don't think they're in a dire need for financing. My take is half geopolitical, half valuation scarcity as the first pure play humanoid player. The latter is likely more valuable than private funding in my view for momentum. Unitree was going public in China and there's no pure play US humanoid exposure. SPAC structure is used for faster listing to give investors exposure, and they're both going public around the same timeframe. Otherwise a ton of Western capital inflow would have went over to China if there's no US humanoid exposure. I don't quite think it's coincidence in timing. 2. I'm citing last private valuations for Figure. I personally don't believe it's worth $39B. But if it goes public, I do believe it would remain around that valuation in US markets, looking at what $SPCX did at $1.75T, just due to valuation anchoring psychology. Even so, investors are still paying 4x+ NAV to access Figure with CEFs and I'm amused by the logic behind that. I personally wouldn't assign it that value comparing it to Unitree at at $6B. (But I do think Unitree is undervaluing itself, probably ends up $12B+). But if you look at how $TSLA got their $1T+ valuation, a lot of it is anchored to the humanoid mission, so hard to value the sector. 3. Same point as #1. Not exactly just to raise funds. Regardless, I'd encourage more companies to go public early on like $CCXI. Than waiting on when they already get big like Anthropic/OpenAI/SpaceX and letting retail be the last to invest.

It’s interesting to witness psychology around valuation anchoring + scarcity. Retail, for example, are buying Figure, last valued at ~$39B through CEFs… At $158B, since it’s private, round 4x valuations. Then Agility Robotics $CCXI, which has broader commercialization. Is at ~$4.3B pre-money and publicly available before the name change. At closer pricing that $AMZN, $NVDA, SoftBank, and Foxconn vaulted it at. Yet some end up paying 4-5x prices of already hiked private investor rounds for exposure… I’m convinced if Agility raised a very small private round at $39B as well from $2.5B (which it definitely could), to set a valuation anchor. Investors would be foaming in the mouth for a private allocation, just due to psychology rather than underlying fundamentals. We’ve also seen this anchoring with $SPCX recently at $1.75T. Peak market inefficiency? Or lack of knowledge from retail?

$NVDA refuting recent Kyber delay claims: “Our roadmap is intact”. lol, damage has already been done with stocks in many markets (esp. in Taiwan/Japan/Soutj Korea) crashing after the “report”

@rioferdy838 @ak_dfranco Yep $NBIS early day drawdowns were insane. There were short sellers bear posting Nebius and neocloud models left and right. All of those seem to have vanished together lol

I have large concentration in $SIVE to $AAOI as well. Feels bad to suffer drawdowns from institutional photonics delay bear posts. Just for the same firm to include it in their ETFs at the bottom. NFA, but I’m especially confident about those two going forward despite the drop

I’d like to give a special thank you to Bloomberg’s piece on $META compute. As well as the 2 back to back bear posts on CPO delays. But I believe thematically photonics, memory, energy, and physical AI will outperform in the long run.

Wow, $WULF signs a $19B DC lease with Anthropic today. Probably a very positive tailwind for the Neocloud/Colo sector.

@haybee940 Yep, we finally have the brain with OpenAi/Anthropic breakthroughs. Now it’s time for robots (which have been backflipping for the past 10 years) like Boston Dynamics / $CCXI to come to life.

@VixOver20 They’re publishing stupid sensational reports. By taking a new architecture then overreaching by saying the entire TAM will drop 40-50%. It’s like if I said OpenAI optimized memory compression so $MU TAM drops 80%.

Kelper upgrades $XFAB to "Buy" citing: - Melexis demand strengthening “week-after-week, day-after-day” (their lead customer). - AI giving XFAB a structural growth leg with SiC, GaN, and photonics offsetting auto cyclicality. - Scarce Western speciality foundries like $SILEX commanding higher multiples. "X-Fab remains the cheapest specialty foundry peer on every multiple, trading at 4.8x 2027 EV/EBITDA versus a peer median of 14.5x" I treat this as good signal for the core fundamentals improving like auto players. But in terms of unpriced long term growth vectors, I'm personally looking at XFAB from a different angle in terms of photonics growth with photonixfab. Given $NVDA as a potential key driver. But it's hard for traditional firms to price these types of active developments into valuation models until there's volume contracts.

I’m just reiterating fundamentals and nuanced details. But I don’t control what others do or how markets ultimately react. Nobody’s right 100% of the time and could always be wrong. But I do have conviction I’m correct directionally with $SIVE. Which is why I have money on the line and remain personally long.

I personally think $SIVE can be the next $LITE. In the past few months alone, we've seen: 1. Partnerships with O-Net pushing ELS into mass production 2. $JBL 1.6T LRO mass production signals with "relatively dramatic moats" for pluggables using Sivers. 3. $GFS SCALE reference level laser for hyperscalers with pluggable, NPO, CPO. -> -> where $AMD and others went to GFS for CPO. 4. Ayar, which joined $NVDA NVLink for CPO -> -> which removed Lumentum/Macom from their website and likely made Sivers their primary laser supplier. -> -> AlChip likely Trainium win from Amazon price placement (Ayar's customer) -> -> GUC rack level design in with Ayar. -> -> Raised $500m for mass production by AMD, Alchip, Mediatek, and NVIDIA 5. ~ $AEVA starting HVM H2 2026. 6. $POET starting HVM H2 2026 with hyperscaler suppliers like Lumilens ("top 3 hyperscaler initial customer") 7. TFLN + $SIVE CW Lasers with Lightium 8. Likely direct relationships with $MRVL Celestial and CPO players like Lightelligence/Lightmatter. 9. Multiple new undisclosed relationships for pluggables following Jabil in their quarterly transcripts With new Trendforce reports that $AMD and other hyperscalers are trying to source LTAs for CW laser sources, serving as a direct catalyst for independent CW sources. So when hyperscaler suppliers from Jabil to O-Net are incentivized to mass produce as many as they can: That's very material for revenue for Sivers relative to current valuations, and it looks like just a waiting game. Even in the past week: - $SIVE raised an oversubscribed institutional round for volume ramp... This is very nuanced since Sivers is fab-lite so it's not going to in-house foundry capex to scale. Likely toward Win Semi and others (they mentioned other partners too), for laser scaling + foundry allocations. So this is likely signaling material for revenue ramp is coming. - Sivers also mentioned NASDAQ listing completion targeted in the next few quarters (probably H2 2026 or Q1 2027 is my est. timeframe). This would fund M&A efforts, since it's impossible with the fundraising environments in local Swedish markets. As for becoming the next $LITE: M&A makes their lasers more valuable, so downstream IP acqusition -> into contract manufacturing like $FN, and others to make the full 1.6T pluggable or optical engines. Is how they get there, since laser array ASP scaling that people are modeling off of, wouldn't command a $60B+ valuations. There's going to be a lot of bridge architectures like NPO/pluggables, etc and noise around certain architectural delays in the meantime. But markets misunderstand laser companies like $LITE, $SIVE, $AAOI and others are used across different architectures compared to if you just look at certain passive optical components. So markets see "CPO delay headlines" algos sell off laser companies that benefit from other architectures. Being included in the pluggable 1.6T ramp to CPO scale out (Which Sivers is included in), helps bridge revenue waiting gaps until scale up inflection point H2 2027. I'm personally holding long term, since I haven't seen a ~$1.4B company mapping to this many hyperscalers before. TLDR: - Waiting on volume ramps from different architectures to play out across their hyperscaler supplier mapping -> 1.6T LRO/CPO scale out late H2 2026 start into high volume ramp 2027 -> H2 2027 CPO scale up volume ramp - Waiting on NASDAQ listing likely H2 2026/Q1 2027 for M&A efforts to fully take off, unless Sivers get more creative with equity financing in the meantime.

Let’s just say I don’t think markets view them as objective anymore. There’s been tendencies to post overreaching claims over a nuanced technical details. Like how $MU had no HBM4 share with $NVDA few months back. I’m personally just listening to $NVDA direct statements and roadmap.

Nomura’s report cites $AXTI and $IQE as the leading players. Then regarding ASP updates: - 2in InP substrate price hike 42-76% - 3in InP substrates price hike 78% - 2in EML Epiwafer price hike 50-75% - 3in CW Epiwafer price hike ~40%+ - Prices lower domestically in China as expected. Hyperscalers bottlenecking upstream photonics confirmation validation… on all fronts from pricing, demand, to supply shortages. My personal expectation was that price hikes would keep going up like $SNDK given ramping optical demand. We’ll see if this turns out right given another 2 years of the demand curve.

Yep, $AMZN looks like the clear winner in physical AI shift. I think the Amazon ecosystem... is probably going to the catalyst for robotics players compared to others in the Google/Meta ecosystems. I kinda see parallels to the $GOOGL TPU effect on suppliers like $LITE or Mediatek, but for robotics... like Agility. Still early though.

Came across an interesting report from SVRC Research called "State of Robotics 2026", published in April. Which listed: 1. Figure AI 2. Agility Robotics $CCXI 3. Apptronik 4. $TSLA 5. Boston Dynamics 6. Physical Intelligence 7. 1X Technologies 8. $AMZN Robotics 9. Covariant 10. Skild AI As the National Champions of the United States robotics program. "The United States leads the world in where robotics is heading: Fundation models, OpenAI-style scaling laws applied to action, autonomous vehicles. While losing the race on where robotics is shipping today." Then it frames: 1. Rare Earths Exposure: from Neodymium for motors to samarium-cobalt for high-temp applications as a critical vulnerability. 2. Actuator dependency. Series elastic actuators, quasi-direct-drive motors, and precision reducers overwhelmingly sourced from Japan, Germany, and China As one of the main vulnerabilities alongside Manufacturing velocity/data collection cost/regulations. Then their take was: "With at least six well-funded US humanoid companies competing for a market still in early formation, we expect at least two significant consolidation events (acquisition or merger) in 2027". With Logistics / E-commerce (like $AMZN / $FDX) and Automotive from $GM to $FORD as being the immediate top use cases for deployment. I think it's just interesting to see a lot of my points I've been talking about reiterated by research firms. Regardless, I do think it's going to be a major frontier race between the US and China. Agility Robotics (which I own), Tesla, Figure, and Apptronik as leaders representing the USA. Competing against Unitree, AGIbot, Ubtech, and others in China.

Just some consolidated updates on memory: - $MU leads new 1.5T Yen investment in Hiroshima ~$9.3B. (bullish read through for Disco, Advantest, Resonac, Towa) since capex is localized. - Morgan Stanley pointed out NAND will continue to be in short supply into 2027 so $SNDK / Kioxia type players are happy alongisde $SIMO and upstream. - MS remains especially positive on Macronix/Winbond - UBS expects the average price of DDR contracts in the Q3 2026 to increase 32% | 18% Q4, vs. 17% and 12% est. - UBS expects NAND flash to be raised 30% from prev quarter. - Samsung reportedly plans 20% DRAM hike Q3. TrendForce recently forecast DRAM contract prices to rise 13 to 18 percent in the third quarter from the previous quarter, so this hike beats expectations. Something to note: Lot people see 20%... and don't think it's a lot compared to the 70-80% from previous quarters. But if you hike something by 100%, then hike something by 100%, then hike something by 30%, it's a lot more than people estimate since it's compounded. Similar to tracking inflation. I've already made projections going into 2028 from the start of the year on my memory names... I'm just sitting back and watching things play out through all the "memory optimization" and "they can't keep price hiking like this!" noise.

Looks like there's a high power cylindrical cell / BBU cell shortage (aka: bottleneck): - Samsung SDI supplies the cells to Simplo, which assembles them into BBUs for $META to $AMZN. - As demand from data centers has increased, production of Samsung SDI's cylindrical cells has also risen sharply. - Industry sources said Panasonic, Samsung are experiencing supply shortages for BBU cells. So main beneficiaries imo look like: - Samsung SDI (KRX: 006400) / Panasonic Energy as cleaneset winners - Murata (6981) / this keeps showing up everywhere with MLCC and others lol - LG Energy (KRX: 373220) / incoming There's not really much direct US players? But adjacent read through like $VRT, $ETN or $BWA / $ENS. Not quite in my domain emphasis cup of tea though. I wouldn't conflate this as all shortages having a massive TAM, but there could be opportunities...

Leaked Anthropic docs show plans to secure 1.4GW capacity from Australia, amounting to ~$21.6B. Recently $IREN, $SHAZ, and other Neoclouds have been building sovereign DCs in Australia. Guess like a lot of things are stating to make more sense connection wise? (disclosure: no open positions in any of the above).

@fivepointscap Yep, $SE $MELI $JD $AMZN and the other e-commerce giants are the most obvious beneficiary of physical AI push that I can think of Given they can optimizing opex immediately with robotics. Names like $META are kinda less clear.

No, it’s the same if not higher. Markets are closed and if there’s no new developments, then I have nothing new to add. $SIVE is personally one of my largest holdings and I’ve posted all my thoughts on their hyperscaler supplier relationships. So I’m just waiting for volume ramps and company execution and ignoring a lot of noise. The convertible notes is not new information and was likely priced in for awhile. Having it executed now is not a positive thing like others are framing, since Bootstrap Europe is a venture debt fund. There’s likely instituonal swaps happening given oversubscribed instituonal demand around these levels. $140m is not a big amount in terms of institutional flows.

Nikkei - $JD E-Commerce Giant CEO warns "Robots Will Replace 700,000 Delivery Workers". Per FT's earlier piece last month: The 700,000 delivery personnel working for the firm will be replaced by robots, highlighting how rapid automation has become a new threat to China's already severe job market. Liu Qiangdong, revealed that the company has signed contracts with approximately 120 schools to retrain its delivery workers, enabling them to transition into new roles such as robot repair and maintenance... "Beijing has started to track AI’s hit to jobs as a national priority." This follows other corporate strategy reports like $AMZN, of avoiding 600,000 future hires with robots. But it's very interesting to see the shift in worker roles to robot support. Maybe $DASH to $UBER to $MELI, we'll all start to see this rollout following China. There's a lot of retail disbelief over humanoid/robotics commercialization. But feels like the direction industry is heading down is pretty clear.

UDN Money report "殺翻光通訊後 SemiAnalysis 惹議 業界揭其劣跡 許多公司慘遭魔手": - SemiAnalysis, released a report in June, questioning the timing of the launch of the CPO on the grounds of low yield and delay, which caused the photonics sector to collapse. - The agency then partnered with Tema to launch a photonics ETF. - The shares held in the ETF under the trading code LAZR happened to be the photonics stocks that were mentioned negatively in the report $HIMX and $LITE, which were specifically targeted negatively in their article "Powered Down, Lights Off", have been bought in Semianalysis and Tema's new ETF after the optical sector crash.

Bruh, when I first tried out ChatGPT around 2023, I thought it LLMs were garbage at coding. 3Y later, Mythos is considered a modern day “nuke” for cybersecurity. People keep saying humanoids can’t do X or Y task today like plumbing or DC wiring. No sht, but it’s about where things are heading over the few years. And it’s clear to me and VC apparently that we’ve just hit the inflection point where soon: majority of labor you think is human-only, can be replaced by robotics/humanoids. You're already seeing this too with internal strategies: Remember $AMZN leaked strat planned to avoid hiring 600,000 workers by them with robots like $CCXI? If you see past the "assistive robotics" public image framing to prevent protest, it's clear the goals is maximizing, opex efficiency. The main areas I think are safe however are regulation bound (eg. Medicine), ultra specialized labor, or require human/emotional connections. But I think you'll be blown away by the rate of change when frontier technologies become national security races between US and China... especially when China is currently in the lead.