Managing Partner, BluBird Capital Engineer - xApple | xQualcomm | xIntel | Startup exits, Tennis player🎾, JohnsHopkins alumni

San Diego, CA
Joined January 2015
Morgan Stanley: Buy Powered Shell Providers We know analyst Stephen Byrd is bullish, but is he too bullish? $WULF $CIFR $MARA $HUT $GLXY $APLD $RIOT
Morgan Stanley on PSPs: We view this as an opportunity to own stocks with the underlying, high quality value not reflected in current valuations. $WULF: $65 $CIFR: $51.50 $MARA: $10 $HUT: $275 $GLXY: $43 $APLD: $41 $RIOT: $35.50
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Good morning everyone. Today is the anniversary of Black Monday. I waw a stock broker resigned myself my dreams were bashed forever. Then my clients called not angry or panicking but wanting to know our next move. More on 'Making Money With Charles Payne" Fox Business 2 PM
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AI infrastructure is facing renewed scrutiny. Financing costs, leverage, capital requirements and returns are all on investors' minds. CEO @PaulBPrager joins @SullyCNBC on @PowerLunch today at 2:15 pm ET to discuss the market's concerns, capital discipline and what it takes to turn contracted capacity into cash flow. Tune in on @CNBC
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$WULF some back of the napkin math on Lake Mariner: Annual Payments: $250M Wulf Compute Interest $300M Principal Pay Down $25M Parent Convert Annual Revenue: $775M $659M NOI@85% 6% cap rate, $11B enterprise value minus $3B debt = $8B for Lake Mariner alone. Stock trades at $6B market cap. And you get all of the other projects for free.
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Anni retweeted
Elon Musk
@elonmuskOct 13
Replying to @RealNickMugalli
Micron has been reasonable regarding future memory prices, while others have been extortionate, which is something today’s customers won’t forget … Micron is making is the smart move for long-term customer loyalty.
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There are only 4 accounts on here who I think legitimately trade a book, and also give people sensible posts to digest regardless of market conditions: @SixSigmaCapital @investingluc @anni_sen @pdt2211 Neither pretend to use smart words to make it seem they know more than anyone, nor do they engagement farm. I would HIGHLY suggest cutting your following down and only focusing on accounts who are actively trading a book.. because you know, making money in the market consistently is the entire point of investing
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The $20B Disconnect: Investor Modeling vs. OpenAI Reality What happened? OpenAI's true annualized revenue is approaching $50 billion, correcting previous investor-derived estimates of a $70 billion run rate. This discrepancy arose from divergent revenue calculation methods and attempts by investors to align OpenAI's metrics with Anthropic's inclusive cloud-partner accounting model. You can't make this shit up. Thanks for discounts $NVDA $AVGO $NBIS $CIFR $IREN $MSFT $ORCL $TSM
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Cerebras should comment publicly, especially since insiders are dumping stock and they hyped GPT-5.6 Sol Ultrafast win LAST MONTH. Was it a capacity issue? Are yields the problem? The silence is deafening.
$CBRS 's bold Aug 13 announcement to investors regarding OpenAI convinced many investors to buy (or hold) Cerebras stock. The company therefore needs to clarify ASAP whether yesterday's X post from SemiAnalysis is true, false or something in between: investors.cerebras.ai/news-r…
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“This is a group that loves local communities. They are going to work with local communities for the data centers, in particular.” @POTUS 🇺🇸
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Anni retweeted
Replying to @bubbleboi
Qualcomm is another Intel( pre LBT) like story, great talent and IP, terrible management.
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Anni retweeted
Memory: Our Tech Tour Suggests Intact DRAM • Recent supply chain tour + SEMICON 2026 point to stronger DRAM outlook than feared. Turning positive on DRAM sector after prior bearish notes on July 3. • DRAM solid: We believe the US hyperscaler inventories low and likely to be lowered further. Blended DRAM px expected ~10% QoQ in 4Q26 (vs high-teens in 3Q26). • NAND soft: High-teen QoQ pricing in 3Q26, then softening to low single-digit in 4Q26 on weaker mobile demand + elevated inventories. • HBM firm: Constructive 2027 view on tight supply + Chinese GPU demand. HBM4 asking ranging from $2.9-4.5/Gb and we expect the final pricing to be $3.5-4.0/Gb. However, still favor 8-Hi adoption but low probability of 4-Hi GPU variants. Vera SOCAMM de-spec remains, to 64GB by 1Q27. • SEMICON / NVHBM: MTK + Nvidia collab on NVHBM highlighted. Shifts base-die design value toward Nvidia (NVDA) and MTK (2454 TT). cHBM/zHBM progress noted during SEMICON #Memory #DRAM #NAND #SEMICON #NVDA #MTK #MU
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William Blair initiates $31 price target on $WULF and outperform rating • Leveraged power provider of critical IT load • Room for multiple expansion and upside • Recent pullback as favorable risk/reward entry point
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Anni retweeted
[Exclusive] Singapore's Temasek to Buy Into Samsung, SK Hynix… Its First Ever Investment in Korean Stocks Temasek, one of Asia's largest sovereign wealth funds, is making a new investment in Samsung Electronics and SK Hynix. This marks the first time Temasek has invested in the Korean stock market. (..) Temasek is said to hold the view that within the artificial intelligence (AI) value chain, memory semiconductors are the most undervalued area. An investment banking (IB) industry source said, "Temasek has an investment style of deploying large amounts of capital into industries that lead the market, from a long term perspective," adding, "Samsungnix has risen as much as more than 880% from last year's low, but this shows conviction that it will go higher still."
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A couple of thoughts on the memory debate: 1) I think those expecting ASPs/GMs to soon fall sharply because memory makers are signaling that – amid the signing of LTAs with price caps/floors and large volume commitments – GMs won’t go any higher often don’t appreciate how much unmet data center memory demand there is right now. With memory capacity directly or indirectly affecting LLM size, context length, TPS and the ability to handle long-horizon agentic tasks, the likes of $NVDA and $AMD would undoubtedly attach more HBM to their accelerators, and both they and hyperscalers would include more main memory and flash storage in their server designs, if supply wasn’t an issue and they could be assured that prices would be around current levels or lower going forward. All of that’s worth keeping in mind when trying to gauge the longer-term impact of LTAs. Yes, LTAs have been broken before and it’s possible the ones memory makers are now signing are eventually broken as well. But given all that unmet demand, it’s also possible they lead to far more memory being attached to accelerators and servers in 2028/2029 (as supply opens up), and with the memory being sold at ASPs that yield healthy GMs by historical standards. 2) At current valuations, memory makers might be trading at single-digit multiples of what they’ll earn in a couple of years even if DRAM/NAND ASPs drop by 30% or so, especially after accounting for volume growth, cost/bit declines and buybacks. For memory stocks to look truly expensive here, ASPs would have to implode, and -- given all that unmet data center demand, as well as price elasticity for consumer memory products -- that seems unlikely to me unless AI capex meaningfully declines. And if that’s the scenario one is betting on, then memory stocks are far from the only AI infra plays one should be selling here.
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great example of : u cant borrow conviction! hats off to Anni
This is a technical selloff, not fundamental.
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Anni retweeted
From Samsung Electronics Q2 Earnings Call Q: Do you expect the current memory shortage to persist into next year? If possible, could you also share your medium- to long-term outlook for memory demand? A: The rapid acceleration of agentic AI is driving an explosive increase in token consumption. This is fueling unprecedented demand not only for AI servers but also for general-purpose computing servers. In practice, AI frontier model developers that have been unable to secure sufficient cloud capacity from hyperscalers are now requesting allocations from neocloud providers as well. This has translated into large-scale memory procurement by server OEMs that primarily serve those neocloud customers. Even so, memory shortages mean that many frontier AI companies are still unable to secure the infrastructure they need. To address this, they have begun sharing their medium- to long-term demand forecasts directly with us and expressing their intention to purchase memory from Samsung. We are also seeing the start of requests for long-term supply agreements (LTAs) to secure additional volume. As the adoption of agentic AI continues to accelerate, memory demand is expanding at an exceptionally rapid pace. Industry supply remains well below demand. Even with increased industry-wide capex, it takes more than three and a half years from the construction of a new fab to wafer production. As a result, meaningful supply expansion through new capacity additions will take considerable time. We therefore believe a significant increase in industry supply before 2028 is unlikely. Based on the demand visibility we currently have from customers, a substantial amount of unmet demand will roll over into next year, creating additional supply pressure. We expect the memory shortage in 2027 to be even more severe than it is this year, with tight supply conditions likely to persist into 2028. Looking beyond 2029, it is still too early to make definitive projections. However, as AI token demand continues to surge, large customers building long-term AI infrastructure are expected to continue requesting multi-year supply agreements. These long-term agreements are well aligned with our objective of hedging future business risks. We intend to prioritize contracts with customers that can provide firm, long-term demand commitments. Over time, this should allow us to transition away from the historically cyclical nature of the memory industry toward a more stable and predictable business model. With improved long-term demand visibility through LTAs, we will be in a better position to execute a more flexible supply strategy. Following our existing approach of securing cleanroom infrastructure in advance and installing production equipment in line with demand, we expect to further strengthen this disciplined and flexible capacity expansion strategy.
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SK Hynix earnings call: "We do believe AI infrastructure investment will remain solid beyond next year” "We expect memory demand in general to keep expanding, not only for HBM, for AI, compute, but also for server DRAM to support Agentic AI and high performance, high capacity NAND to accommodate the expansion of AI services, as well as growth in data."
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SK Hynix did miss the consensus estimates but before anyone tries to create a narrative that the ai story is slowing down... revenues were up 257% YoY and operating profits were up 557% YoY... the numbers are still mindboggling for a stock that is now trading below 4x NTM EPS. I think it's important to focus on the 10 LTAs signed with major customers... this helps provide some visibility into the next few years.
SK hynix (Market Cap: KRW 1,132.2632 trillion) 2Q26 Earnings Results ▶️ Results: Revenue: KRW 79 trillion (+257% YoY) (Consensus: KRW 84 trillion; 5.5% below consensus) Operating profit: KRW 61 trillion (+557% YoY) (Consensus OP: KRW 64 trillion; 5.4% below consensus) Operating margin: 76.3% (Consensus OPM: 76.2%; 0.1%p above consensus)
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Anni retweeted
Replying to @benitoz
Micron’s investment in the U.S. is far larger and more important than Apple’s efforts to build a U.S.-based supply chain. Apple is engaging in “America-washing.”
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