Serenity @aleabitoreddit

@alGix0 I’m not concerned with short term volatility, which is expected with high-beta photonics and current macro. I’m long on $SIVE to see my thesis play out with laser volume ramp. Dilution could be a short term factor, but I see the development as positive long term

$SIVE: "Intent to complete the [NASDAQ] listing process over the next few quarters" This statement was largely missed by many screeners. Very material improvement from evaluation, to formal confirmation of timelines.

@SidkMena Dunno, probably just sector selloff. Shunsin recebtly confirmed a direct $TSM COUPE partnership. Then proceeded to crash 15-20%. Don’t think there’s any material developments outside SemiAnalysis bearposting the Nvidia ecosystem over and over

Just some of the more interesting news I came across recently: 1. MS: Revised China humanoid shipments to reach 50,000 in 2026 from 14,000u and 28,000u earlier this year. 2. MS: Probe cards and test sockets likely to be priced hike (precious metal hikes + severe shortage of test pin capacity) 3. Capacitor price hikes: MLCC, aluminum electrolytic, tantalum, polymer aluminum, film, and super capacitors from Yageo. 4. $META Vistara architecture: Older DDR4 Memory with CXL as memory expansion 5. OpenAI achieved inference optimization breakthrough that halves costs and reduces GPU requirements. 6. LTAs are being signed with MLCC after Samsung signed LTA with US big tech customer 7. Grid power bottlenecks triggered 5x increase ($25B) in Brookfield's financing for $BE fuel cells. 8. Taiwan's chip packaging and testing supply chain includes major OSAT providers such as $ASX, Powertech, Winstek Semiconductor, Chipbond, ChipMOS, and ShunSin. Dedicated testing companies include KYEC, Ardentec, and Sigurd Microelectronics, while testing interface suppliers include WinWay, MPI, Keystone Microtech, Chunghwa Precision, and Hermes Testing Solutions. Leadframe makers include Jih Lin Tech, SDI, and CWTC, while major IC substrate suppliers include Unimicron, Kinsus, Nan Ya PCB, and Zhen Ding Tech. (Digitimes) - Taiwan-based OSAT providers are raising prices - Memory and IC packaging and testing capacity have both become bottlenecks in the semiconductor supply chain

I told you making the robots look hot might be a bottleneck: Today, UBTech has now announced its first full-size hyper realistic humanoid robot girlfriend. For adults only to purchase for only ~$145,717.90. -"The U1 series emphasizes attractive appearance and is only available for adults to purchase." - "It Can Imitate Most Human Movements and Expressions, and Also Has Long-Term Memory" - "U1’s surface uses bionic materials and a gel structure to simulate skin texture, elasticity, and a warm touch." UBTECH founder, chairman, and CEO Zhou Jian said on stage that just before going up, he learned that orders had exceeded 11,000 units. Half an hour later, UBtech said the number had been updated to more than 13,361 units. Demand for attractive robots is uncomfortably high.

Congrats to $SIVE, they have now raised an upside round of 700m SEK from institutional investors. The round was “Multiple Times Oversubscribed” and slightly upsided. Validating immense institutional demand around current market prices. This raise was specifically for "expanding manufacturing capacity for InP lasers and optical amplifiers" (volume ramping with fab-light model). Hinting Sivers has reached the inflection point for scale. The round was at 57 SEK (current prices are 63 SEK), which I’m personally very happy about as it’s around current market prices, which typically sets a floor. Instituional money has now de-risked the balance sheet, and funded Sivers transition to HVM.

$SIVE is raising ~$61M (600M SEK) to expand manufacturing capacity for InP lasers and optical amplifiers. Sivers operates as a fab-lite model so this is likely hinting at foundry allocation/scaling for CW DFB laser ramp across Jabil, and their other partners. It could also point to broader foundry allocation/scaling beyond the already announced WIN partnership. My feedback is that it's very bullish if it's comprised of long-only institutions and there's no heavy discount (30 day VWAP). Otherwise, would need to reaccess if there's arb or short term investors. This is the perfect time to get ideal strategic investors like $GFS on the cap table. As well as focusing on having more US institutional support. Especially considering $56M is a small check to a single US institution that want photonics exposure (eg. look at Poet's $400M registered direct offering for sentiment). A lot of it is "it depends when more info comes out", but this looks like a very positive signal for mass production given Siver's fab-lite models.

Yep! Agility Robotics is currently my favorite humanoid/robotics position. They're set to be listed on NASDAQ via $CCXI as early as September (per Digitimes). Just for informational purposes: Their V4 humanoid robot is already operating in sites like Amazon. And have V5 slated for mass production next year (they have a 10,000+ /year capacity). Investors include Foxconn, $NVDA, $AMZN, Softbank, and now Serenity. I've been personally waiting for humanoid exposure for awhile (Agility is set to be the first US pure-play listed one) to the point I was actually planning on investing in Unitree's IPO. But I'm glad now I personally have a compelling alternative now since I prefer to invest capital to build up Made in America supply chains (75% of their components are US-sourced from investor desks). There are risks assigned to SPACs such as listing delays, or cancellation. But excited to see what happens next with developments. I do hope this encourages other frontier companies to go public early on.

I wonder if humanoids is going to spark a new bottleneck/industry for robot cosmetics. Like a skin bottleneck. Or Aespa KPOP robot makeover as a service. So if $TSLA Optimus makes tens of millions of humanoids: Who’s going to make them all look hot?

There was a pretty funny anecdotal complaint from the Machine Learning $RDDT subreddit. On $CBRS + OpenAI: - Needs 1-2K tokens/sec so tries to use Cerebras. - Claims OpenAI reserved all capacity, making waitlist infinite for everyone else not a hyperscaler. - Stated alternatives with Groq’s API not accessible to them Feels bad. But it does show how few players / limited capacity there is for fast inference.

Hard to see a world where US AI hyperscaler capex drops dramatically from $GOOGL to $META. When China entities like 360 go and claim: They now have a "AI cyber nuclear weapon" that can hack Western companies and governments. (Zhou claimed Mythos was like an AI era cyber nuclear weapon, then claimed they built a Chinese equivalent). We're probably witnessing the modern cold war. But instead of nuclear stockpiles, it's racing to build superintelligence both offensively and defensively. With many different "battles" happening concurrently like supply chain export controls between China -> Japan -> US hyperscalers. The funny thing is that everyone still depends on one another: - US with things like rare earths and feedstock from China. - China with EUV to EDA and engineered substrates. So there's still give or takes trades to build up capabilities like Nvidia/AMD AI chips access for rare-earth/magnets access. Which is exactly why it's important for the US to build up rare earths supply chains ASAP. And not piss off allied supply chain chokepoints like European EUV partners with $ASML to Japanese vacuum/furnace makers like Ulvac with things like tariffs, if the US wants to use it as leverage for negotiations. But we're getting dangerously closer to a point where supply chain interdependence is not a deterrent against escalation. Especially as China grows closer to becoming self-reliant. And that might be the tipping point.

@EndicottInvests Good times, wasn’t too long ago back at 3K followers! Discussion on $NBIS was fun back when there was a lot of debate on Neoclouds and it was still really early. Thanks for the support, fun to see your account grow as well

I've reached 900k followers, thank you everyone! Just some reflection, it's actually a nightmare at higher counts... Which is new to me, since I started at almost nothing earlier this year. 1. Threats of safety, which I don't enjoy. - Random new accounts sending personal threats - Mysterious foreign accounts, sending coercive messages the moment I mention a foreign ticker If I hold an opinion about a stock, I'd prefer not to have anyone show up on the street with a knife at night since it's safety risk at this point... Never felt like I'd have to take that into consideration for holding an opinion. 2. Egregious media narratives - Lot of outlets try to dismiss my ideas like $RPI or $SIVE as "meme stocks" or me as "meme trader" when I talk about supply chain chokepoints or fundamental catalysts to revenue due to AI. Without ever covering the core ideas or hyperscaler mapping I've done. I let success validate my ideas, but it's annoying when they can just pretend their claims like "___ will imminently crash as a fact" which ends up not happening. Or that "___" is just a retail meme stock without mentioning $JBL, Ayar, $GFS or others for CPO scale up or pluggables. I'm grateful to some outlets, like in Belgium for $XFAB coverage, but many others try and paint their own narrative rather than covering a very nuanced thesis objectively. - When I mention a ticker in a foreign market, some try to frame me as some "adversarial account"! I'm just sharing ideas, and I'll always disclose positions/financial interest if I have them. If I say I have none, they just make up some narrative that I'm some foreign institution or random group inside their country that does. Some have even tried hilariously forging screenshots of me to harm my reputation, which was annoying to deal with. Since it's easier to textedit a photo and spread it around than it is to dispel disinformation. Lot of institutions know me personally by now. I just don't go broadcasting my identity to random people in the media/public, since personal security gets expensive and I just want to live about my day. 3. Endless X bot spam - I have endless hundreds of comments a day trying to link external communities pretending they're me. I manually delete, and block thousands of these accounts, sometimes hit regular people by accident. And it's extremely exhausting to the point my fingers cramp certain days. Even if I give the most blatant warnings in bio, people still get scammed and think it's me. Then I get blamed for it too. I actually had a conversation where someone asked if a scammer was me. I said no verbatim, then they double checked like 2-3 more times because they didn't believe I said no because someone had the same username on another scam platform. In another world, maybe we'll get automod type tools. But until then, it's mentally exhausting dealing with all of this. But I do so anyways since I don't want my followers to get scammed. 4. Endless engagement baiting - I have tons of people making up fake stuff about me, tagging me in posts, randomly bashing my ideas while missing any technical nuance in order to get me to comment or farm views. It's a catch 22 since the moment I reply, they get a lot of views, which was their goal. And if I don't reply it just looks like I'm avoiding something (which is not true). I'm very transparent, I always try and entertain people who disagree first. But when it gets into personal attacks or leading questions/disinformation rather than substance then I don't engage. It's a little sad though when people I've interacted with end up caring more about engagement over relationships down the road. 5. People missing the nuance - I share ideas pretty often and I always maintain I don't want people to copytrade or blindly follow, which is why I haven't set up any copytrading apps. Before it was just posting with a few $RDDT friends on ideas like $AXTI, $NBIS, or $ALAB, and people were more knowledgeable traders. Then seeing if markets validate my guesses like with InP substrate bottlenecks. But because many turned out directionally right, to the point it became a central talking point between China/US trade relations, lot of random folks started to follow my account last few months. But many of them miss nuances with float dilution, or material updates along the way such as rate hikes, and I get blamed if a thesis changes. Now since there's so many random people, even if I share an idea about $CBRS last Friday. At market open I had people panicking over a 2% drop, asking me if I did something to a $44B+ company, even if it went up 20%+ today. Now I have compliance review for posts, which delays things a lot but makes sure people don't get the wrong idea. And I have to be careful about my timing, so I post new ideas when markets close. Before, it was just sharing ideas the moment I had them during lunch or in the shower, so this is becoming a headache. 6. I post my core ideas for free. And I've always said this from the start. I actually made my subscribers chat literally by accident, and set the bare minimum amount on purpose since I didn't want to take people's money. But kept it so I could avoid the bots and not spam the main timeline with random thoughts/scrapped research. I think me becoming the #1 most subscribed to person on X was literally by accident. But lot of weird narratives out there when media or others don't believe that I just genuinely want to share my ideas for free. And that people shouldn't need to pay $300 in a paywalled community to see them. _ Not sure if people want to read it all, but just some things I've gone through. It's not as much fun at higher numbers and it would be nice to go back to when I was smaller. Regardless, I'd rather not turn this into a job, or make it feel like one. Will probably take a break when I hit 1M as a milestone and do something else that will help out the community like sharing my research pipelines and such. Think a lot of my friends at 10-50K follower counts, seem to experience some of these issues too. But problems get magnified a lot at this level. I never needed the X creator fees or anything, just wanted to share ideas for fun if people wanted to listen. And didn't expect any popularity, but it's nice to see that people find my ideas compelling.

@gurukid5995 Markets tend to rotate from bottleneck to bottleneck. Memory from $SNDK to $MU was the market's main focus this month, while optical names like $AAOI corrected. I think we'll see a rotation back into photonics eventually, it's personally my highest concentration theme.

For robotics companies, I have a favorable view on Unitree and Agility Robotics, two humanoid players. And I have largest concentration in Agility Robotics, since I personally prefer US humanoid players. For upstream component exposure, I currently own: - Harmonic Drive (6324) given high content BOM on things like harmonic reduction gear. - Vishay Precision for sensors and a possible candidate for Telsa Optimus. LeaderDrive (688017) and Schaeffler I have favorable views on but don't own personally. Many of the other AI DC players, I have indirect exposure to robotics like memory. Don't recommend anyone to copy, just sharing personal positions/thoughts. Humanoid sector is large, and as seen with Goldman Sachs report that "Korean companies will command a 30% direct and indirect share of global humanoid robot production". Lot of players out there globally. This was an older report but just linking it again since you see all of them pop up in GS institutional reports + what they cover. Agility Robotics is my personal favorite as of now.

Japan's Rakuten to establish joint venture with $ASTS to build out LEO satellite networks for Japan per Digitimes/Nikkei. "The move is widely viewed as a strategic response to the growing influence of $SPCX Starlink in Japan"

$GM cuts 1,000 workers and replaces them with 50 robots (Jun 22nd report) Reports also show GM is working on a deal with $NVDA on factory robotics. This is industry validation for robotics, since it likely demonstrates increased opex margins + efficiency from employee automation. Especially from companies like $AMZN to General Motors with assembly/warehouse lines that have high headcount. I think the technology is already here and use cases are already proven. Robotics/Humanoids are just pre-scale right now. The wording from large companies is “assistive robotics”… But in all honesty, it’s here to automate away the human workforce and increase profitability. I don’t think companies want to be paying insurance, salaries, etc. when robots can do a better job, and 24/7, so very sad to see potential job losses in the future from robotics automation. Whether people like it or not; seems like the inflection point for robotics is here.

Nah, I actually read the whole $POET AGM transcript in the shower. And then compared what they said, compared to what markets might have known already. This was manual since it’s on some random GitHub page rather than officially published yet afaik. Then I just learn interesting insights from statements like $POET confidently saying laser players are completely sold out next two years. Since it’s signal for laser bottleneck likely extending into 2029 thematically.

Just some notes on $POET AGM and read through on optical markets: - "The top three laser suppliers control 68% of the market, and they’re completely sold out for the next two years" $LITE CEO said into 2028, so POET implicitly confirms laser shortage is going into 2029 now. - NRE with a new customer, building on POET’s interposer for high-power external light source. This is high confidence $SIVE as laser supplier given the Sept 29, 2025 PR on ELS, and new customer qualification would be material for revenue if it goes into volume ramp. - Poet expects Lumilens commercial agreement to scale to over $500 million over the next 5 years. Lumilens claimed a top-3 hyperscaler was their initial customer (Linkedin OSINT) - $830M cash on hand on balance sheet (this is more for Poet fundamentals). - "The entire optical components industry today is facing a severe shortage of critical components." Reaffirming what we know already regarding optical bottlenecks. - "Production ramp in the second half of 2026 this year." Just production timelines H2. In terms of $POET volumes: - existing capacity around 1 million optical engines per year - projected demand exiting 2027 around 1 million optical engines per month - roughly 10x capacity expansion I don't own Poet, but if management delivers on these projections it directionally looks very positive. However something to note is that unlike other suppliers that have named hyperscaler customers to to back up capacity revenues like $AAOI: $POET seems more questionable. But this does look like a very positive outlook for $POET if they match projections.

Honestly this decade from 2020-2030 might be the most goated in human history. - Scaling massive reusable rockets for orbital compute with $RKLB to $SPCX. - on the cusp of ASI and recursive learning with Anthropic and OpenAI - Backflipping Boston Dynamics and Unitree humanoids to replace the human workforce - Star Wars laser beams from $EOS.ASX to AI DC lasers like $LITE. - Waymo and $TSLA self driving cars everywhere in urban cities - and we get industry Quantum commercialization end of decade This is kinda crazy to be an investor in this timeframe. Feels like every movie from the Star Wars Death Star to Skynet is coming to life. What’s next?

Yup, Schaeffler $SHA0 is the ideal example for automotive players. ~ €7.47B MC auto player. - but also working with 45 humanoid players (extremely insane number, they do have €5.14b debt, EV is higher) - covers bearings, gearboxes, sensors/ECUs, actuators, power electronics. -ests. They can be roughly 50% BOM of a humanoid - targeting 10% market share of that. But only projecting a few hundred million revenue by 2030 (extremely sandbagged) if we’re using Elon’s projections for the market. Then’s theres auto players like Nabtesco (6268) for joints. And then Sanhua in China for $TSLA Optimus. Many of them are trade at lower valuations from drag from auto. But humanoids + AI Auto (TSM chairman cited this as a growth vector) should be a good catalyst past 2027 for automotive players. IMO there just needs to be a ChatGPT/Anthropic breakout downstream leader first for humanoids. That brings up the entire ecosystem that has robotics exposure. But as of now it’s probably like 1% of many of their overall revenue figures, and markets are focusing on immediate upside from bottlenecks like memory or MLCC. I’m sure we’ll see some random Toto-HBM type surprise as different humanoid architecture evolve.

Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini got super nerfed. $GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints. Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter. This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.

@buy_the_day Bro look at $RR on the left. And then humanoids deployed in military combat on the right. I feel like the right one is what markets want exposure to

$SIVE is has a decent chance to be in Boston Dynamics humanoid programs through $AEVA and LG Innotek. I don’t see it being too material to revenue near term since the leading humanoid companies have only made ~10K so far. But if you get to the millions in past 2028, it’s probably material to revenue

Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.