top-3 endowment investor. the world is a productive asset. mostly bullish, always prepared. tyj. disclaimer: I do not own an NFL team.

Whatever’s working
Joined October 2021
dave tepper - hands down, GOATED investor the only investor the other greats admire and respect and would not dare disrespect he's also misunderstood... known as a great distressed investor, he's also a great macro investor... skates to where the puck is headed, full cycle
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Anyone know how often $Goog misses on the search estimates $msft crushed in azure these are not the same $amzn
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here we go. this is gorgeous. the money shot. last 10 years of p/e-to-LTEG ratio. mag 6. removed $tsla cause fk those guys they screw up the charts. $nvda gets no respect for the LTEG - market just doesn't believe it. in fact, PEG of 0.28 hasn't been this low since late 2023. bullish. $aapl getting way too much respect for it's LTEG. in fact, could argue the market is expressing a hidden view that their hardware capabilities and underinvestment in AI is the end state for what makes a great tech company in the future. great hardware moat, exploitation of the AI investments made by others. but regardless, that's a hefty premium to pay. the rest look objectively "reasonable" $amzn is the biggest outlier, with the fastest LTEG (ex nvidia) and the lowest PEG
Replying to @institLP
That ETF flow point makes a lot of sense — at this size it's hard for the market to price each name on its own merits.
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lots of mispricing in the mag 7. $amzn and $nvda look cheap if LTEG is accurate. market doesn't believe (or can't bring enough capital). would say market cap is a limiter to effectively pricing the names, or the ETF flows distort idiosyncratic pricing... then again market seems to effectively price $aapl kind of bulled up for $amzn this week
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"analyst projections gotta come up" $ACMR just beat Q3'36 revenue estimates by 20% stock flat. better than down but damn no credit for greatness.
this is a degenerates portfolio. but an observation on $ACMR revenue. shanghai sub backlog came out today. 17bn RMB. analyst projections gotta come up. jpm at $110 PT AND gs at $166 both have with 2027P rev = $1.67bn (25% below '27 implied on new backlog datapoint) DYOR higher.
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it's the year 2036, and acmr is still at $54 pps :)
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assume we’ll get some upgrades tomorrow $iclr even a slow grower cro is catching a demand wave Anyone have a strong take on medpace $medp
$ICLR -Cowen raises ICON target to $197 from $164 Buy -Mizuho raises target to $190 from $180 Outperform -BMO raises target to $187 from $160 Outperform -Baird raises target to $186 from $168 Outperform -RBC raises target to $185 from $126 Upgrades to Outperform from Sector Perform -Barclays raises target to $175 from $160 = Weight -Citi raises target to $165 from $140 Neutral -Bank of America raises target to $150 from $125 Underperform -JPMorgan raises target to $135 from $130 Neutral
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took down bit of tech risk just now long trade was $SOXL - out (10 points) $stx - cut half (3 points) great as anthropic numbers were / are market doesn't believe earnings are sustainable can't fight the tape
deployed a ton of cash on a semis/wfe trade anthropic capital efficiency isn't as bad as feared $crwv / $nbis may have found a near term bottom - did not add either of these... narrative can shift fast... trading call only
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$stx entry was may 2025 at $117 pps. was a big position. my largest contributor of the ai cycle to date. was a fun ride, could have definitely sold the top better. what went right: - fundamental thesis was a slam dunk; price and exabyte growth as ai dc growth and training came to pass - held through the vols what went wrong: - sold half too early before the blow off rip higher - average exit price about 40% off the peak thanks for laughs seagate and best of luck HDD frens net short $wdc but will be covering imminently
$STX handling the shorts Market position too hot to handle
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good thread
1/16 the ai industry is making an unusual bet: buy compute for years, sell intelligence by the token. banks, commodity merchants, airlines, utilities and cloud providers each explain a different part of the risk.
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semis do look a bit cheap here
*D.A. DAVIDSON UPGRADES BROADCOM TO BUY ON AI IPO CATALYSTS & UNJUSTIFIED VALUATION DISCOUNT D.A. Davidson upgraded Broadcom $AVGO +3% to Buy from Neutral, raising its price target to $400 from $350. Gil Luria highlighted that Broadcom's valuation trading at just 16x 2027 estimated EPS effectively prices in a near zero probability of successful public market debuts for core AI lab customers like Anthropic and OpenAI. Luria expects Anthropic's upcoming IPO to proceed with OpenAI potentially following in 2027, unlocking substantial fresh capital that will directly fund sustained multi-billion-dollar demand for Broadcom’s custom AI ASIC accelerators and high performance networking infrastructure.
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polling everywhere will have overstated republican turnout and voting It’s over but mostly over if trump in all his megalomania colludes with a blue legislature to move the country to the left
Republicans in Texas simply not showing up… Statewide early vote so far: 🔵Dem 35% (+2) 🔴Rep 33% 2022 at same point: 🔵Dem 29% 🔴Rep 42% (+13)
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people will find out the hard way that $1 trillion data center capex is free cash flow negative until it lights up, then it cash flows 20-40% p.a. by the time it does, another $1tn in the ground does the same and those xpus are suddenly doing $400bn - $800bn fcf p.a and the whole system is cash flow positive the big bet is whether the token demand is sustainable per whoever published it today - if we’re spending 0.1% of payroll cost on ai at $100bn annual spend run rate, we’ve only got to spend 0.5-1% for the whole thing to balance the biggest worry shouldn’t be demand but some algorithmic improvement that allows smaller models on local endpoints For me don’t think there’s much to worry about that anytime soon, but I will change my mind if something changes
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Last 48 hour issuance announcements - meta $95bn equity - ant via private credit $avgo 65bn debt - spcx via nvda 45bn debt That’s 200 billy capital for likely 400bn xpu purchases Think semis are gunna be ok
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Daave “3 and 30” Tepper retweeted
1/Anthropic’s S-1 is out. 2/ Revenue, quarter by quarter ($M) Q1'25: 376 Q2'25: 787 Q3'25: 1,382 Q4'25: 2,040 Q1'26: 4,731 Q2'26: 11,555 Q2'26 revenue was up 1,368% YoY. Compute & infra costs were up 300% over the same period. Q2'26 was the first quarter with positive GAAP operating income: $974M. 3/ How “Run-Rate Revenue” is defined Trailing-28-day consumption fees × 13 + monthly subscription fees × 12 Three caveats from the S-1: -It includes customers later found to be violating the usage policy -It is seasonal: usage dips in summer and winter holidays 4/ Revenue is recognized gross When Claude is sold through the AWS, GCP or Azure marketplaces, Anthropic is the principal. It books the full amount as revenue, and the cloud provider’s fee goes into Sales, marketing & partnerships. The marketplace share of revenue has climbed fast: 11% (2023) → 32% (2024) → 47% (2025) → 48% (H1'26) Adjust for this before comparing multiples with companies that report net. 5/ Distillation The S-1 puts a number on it: “we estimate that revenue from such customers represented approximately 5% to 7% of our revenue for the nine months ended September 30, 2026” These are customers violating the usage policy or commercial terms. Applied to ~$33B of 9M revenue, that’s roughly $1.7–2.3B. Enforcement was stepped up in Aug–Sep, and the company expects the share to decline. The S-1 says the estimate “requires judgment and may change.” 6/ Visibility is low RPO at 6/30/26: $10.8B ~75% of that is recognized in the next 12 months, so cRPO ≈ $8.1B Deferred revenue: $1.65B Q2 annualized revenue is ~$46B, so cRPO covers less than 20% of it. 80% of revenue is consumption-based, and next year’s revenue depends almost entirely on usage. 7/ The compute bill Disclosed commitments: Broadcom TPU leases: ~$161B SpaceXAI (NVIDIA GPUs): up to $121B, ~$3.1B a month from Dec’26 Google: ≥$115B, plus $125–150B more of TPU capacity in 2028–31 Amazon: ≥$110B Microsoft: ≥$45B Nscale: ~$45B Lambda: ~$41B AMD: >$20B That adds up to roughly $780–810B. 8/ The mismatch to watch Revenue is variable and consumption-driven. Compute costs are fixed, multi-year and take-or-pay. On top of that, the Broadcom leases, the credit agreement and the convertible notes include cross-default provisions. This is the single most important risk in the filing. 9/ Demand is real NRR ~900% (ex-Pro/Max) Customers paying more than $100K / $1M / $10M a year: 11,900+ / 1,900+ / ~250 No single customer was >10% of 9M’26 revenue Top 5 customers ≈ 25% of 9M revenue Q3: 79% of revenue came from outside the top 5, up from 64% in Q1 Claude Enterprise users who also use Claude Code spend ~20x more than those who don’t 10/ Dilution $77B of convertible capacity: Google $20B, Amazon $15B, Broadcom $42B, settled in shares at a trailing VWAP Google can buy up to $10B more stock at the IPO price A Public Benefit Fund already holds 5% of fully diluted shares, and can get up to +2% more for every 50% rise in the share price
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the Anthropic s-1 takes on this website are awful. you guys are outting yourselves as tech bros unskilled at anything else. be a generalist. it’s a lot cooler. more satisfying life.
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I added a bit of $acmr at 51 like a rahtard Believe now priced for match act headline
Yes. $ACMR has been expanding globally outside China, particularly South Korea. And perhaps Taiwan soon enough.
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agree. step back: the cambrian explosion of ai entering the enterprise was say - 4 months ago. with compute bottlenecks in display, my personal opinion is gpu cloud margins tear higher. it's showing up in $ant numbers. $amzn, $msft and $GOOG near ATHs indicate the market likewise understands huge ROI on these capex $. have to disaggregate negative impact of cost of capital on cap markets funded vs. internally funded clouds. think market is saying semis/mag 7 higher.
This is the key stat. The average Fortune 500 customer of Anthropic spends less than .1% of their expenses on Anthropic. While that number likely will eventually asymptote somewhere (token prices coming down, and other large enterprise spend areas not going away), there’s no reason it can’t be 10-50X higher than this, reaching a “mere” 1-5% of spend. Which would still be a fraction of what most startups are spending. Thus, you can see how big of a divide there is between the frontier users of AI and the rest of the world still. Today, only a microscopically small set of companies are actually using agents for large amounts of background tasks and inside of workflows that aren’t human prompted. This Fortune 500 spend is likely dominated by coding tasks and broad employee productivity use-cases. But the big jump will come as these enterprises start to rewire their underlying processes for agents, which we’re now in the earliest stages of seeing. Agents processing large amounts of data in the enterprises; swarms doing coding, bio research, cyber, and other large fan out tasks; background workflows executing tasks in processes, and so on. All of these use cases generally are 100X bigger consumers of tokens, and much closer to direct ROI on the spend. This S-1 gives you a sense of both the strength of the frontier lab business model - even amidst massive competition - and how early we are in the build out of AI.
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deployed a ton of cash on a semis/wfe trade anthropic capital efficiency isn't as bad as feared $crwv / $nbis may have found a near term bottom - did not add either of these... narrative can shift fast... trading call only
$meta by far the most expensive asset in this portfolio i've got $ACMR at 13x 27E - just entered a buy order and canceled because never go full retard $ICON and cpo en fuego would be a seller if was long term gains first big earnings report of the year for me is tonight $wdc short as a hedge against $stx dont love the positioning but has been a great hedge over last 3 weeks want to add $hpe here tbh but stepping into rising macro / commodity uncertainty not my m.o. 37% cash
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just want to be clear - no margin, no options, and still have some cash. there are times, not here.
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