Chandan

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Chandan

Chandan

@chandan1_

research crypto prev cofounder @fitcentive, investments in AI/web3 at @m31capital

on chain Katılım Kasım 2021
1.6K Takip Edilen2.7K Takipçiler
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Chandan
Chandan@chandan1_·
Living List: Top Crypto 2026 Predictions by Investment Firms & Asset Managers. Bookmark for later👇 🧵
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Michael Nadeau | The DeFi Report
"Thanks for the recent trades. I used some of my gains to lock in for the year." That's the feedback I've been getting from many of our monthly subscribers who have been taking advantage of our current sale. TDR Pro is a win/win and was designed to be this way. As a reminder, here's what you get for $16.67/month: - Portfolio access (+ full history) - Alerts when we make changes - Weekly "cycle awareness" reports (macro + BTC onchain data/market structure) - Weekly Watch List Reports (30 + covered assets) + dashboards and price targets --- Full transparency. Aligned incentives. No hype or nonsense. And a great public track record. If you're interested in signing up, see the link below 👇
Michael Nadeau | The DeFi Report tweet media
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Chandan
Chandan@chandan1_·
opus 4.6 > opus 4.7
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Chandan
Chandan@chandan1_·
solopreneurs
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Chandan
Chandan@chandan1_·
another important chart.
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Chandan
Chandan@chandan1_·
by 2030 economy will be $100T
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Chandan
Chandan@chandan1_·
key difference btw Apple and other's: Apple generates substantial services revenue from the App Store, iCloud, and similar offerings. Apple uses hardware like the MacBook as an "entry point" into its ecosystem, with services revenue offsetting hardware-side cost pressure. Both meaning it does not need to fully pass through memory price increases into finished-product pricing like x86 laptops which would further increase there market share.
Jukan@jukan05

"Apple to Become World's #3 Notebook Vendor This Year"... Driven by MacBook Neo and Unified Memory Architecture Apple is projected to overtake Dell to claim the #3 spot in global notebook shipments this year, driven by the recently launched entry-level MacBook Neo and its Unified Memory Architecture (UMA). The global notebook market is expected to contract 8% this year, with Lenovo and Dell — both armed with strong memory procurement leverage — likely to outperform peers. On the 26th, market research firm Sigmaintell forecast that global notebook shipments this year will fall 8% to 181.1 million units, down from 196.7 million units last year. The decline reflects rising component prices, particularly memory chips, alongside broader market weakness. Vendor-level shipment forecasts for this year are as follows: Lenovo 43 million units, HP 39 million, Apple 28 million, Dell 22.5 million, Asus 16.5 million, Acer 10.9 million, and others 21.2 million. Apple is the sole major vendor expected to post growth, with shipments rising 22% from 23 million units last year to 28 million this year. Every other major vendor is projected to decline year-over-year. Dell's shipments are expected to drop from 24.2 million to 22.5 million units, allowing Apple to leapfrog Dell into third place. Apple has rounded out its MacBook lineup this year with the launch of the entry-level MacBook Neo. The previous MacBook lineup consisted of the Pro and Air, both priced above the Neo. The MacBook Neo starts at 990,000 won. Sigmaintell also highlighted Apple's Unified Memory Architecture (UMA). UMA is a design unique to Apple Silicon in which the CPU and GPU share memory resources. According to Sigmaintell, Apple has standardized memory specifications across multiple product lines, improving flexibility in component sourcing. Apple's revenue model is another differentiating factor. Apple generates substantial services revenue from the App Store, iCloud, and similar offerings, meaning it does not need to fully pass through memory price increases into finished-product pricing. Apple uses hardware like the MacBook as an "entry point" into its ecosystem, with services revenue offsetting hardware-side cost pressure. Sigmaintell noted that Apple's revenue model differentiates it from x86-camp Windows notebook vendors that rely on Intel and AMD CPUs. The x86 camp is heavily dependent on hardware sales. While Apple's notebook shipment forecast trails Lenovo and others, per-unit profit and overall margins are expected to exceed those of peers. Within the x86 camp, fortunes are expected to diverge this year due to differences in memory procurement power. Lenovo and Dell, both with sizable server businesses, are expected to outperform, while Asus and Acer — with minimal server market share — face greater headwinds. Servers consume far more memory per unit than notebooks, so a larger server business translates into stronger memory procurement leverage. Securing memory in bulk at relatively lower prices helps ease cost pressure on the notebook side. All major x86 notebook vendors are expected to see shipment declines this year, but the magnitude varies. Lenovo, with its high server market share, is forecast to decline 6% (45.6 million → 43 million units), and Dell 7% (24.2 million → 22.5 million units) — both narrower than the overall market's expected 8% decline. In contrast, HP is projected to decline 11% (43.7 million → 39 million units), Asus 10% (18.4 million → 16.5 million units), and Acer 15% (12.9 million → 10.9 million units) — all steeper than the broader market. Acer's heavy reliance on low-end products is a particular drag. Combined shipments from vendors outside this top tier are expected to plunge 27%, from 28.9 million units last year to 21.2 million units this year. $AAPL

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Chandan
Chandan@chandan1_·
@0xSero Old GPUs becoming more valuable as open-source models get stronger. Most underrated trends right now.
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0xSero
0xSero@0xSero·
🐋 Incoming Whale Posting 🐋 I'm so excited about Deepseek Watch me run Deepseek-v4-Flash (crashed at the end when I overloaded it lol) it's been so good, I feel like i got what I wanted when I bought my first 3090 - Model review - Claude desktop - Economy - Concurrency - Fun
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TBPN
TBPN@tbpn·
.@bubbleboi came up with his viral AI investing post on Sumitomo Bakelite by picking a random company and telling an LLM to pitch it to him as an AI bottleneck. "I was researching these chemical suppliers, and I just realized you could really talk to an LLM and get it to say whatever you want it to say." "I just picked a random company in Japan, and I just said, 'Try to pitch this as an AI bottleneck.'" "People definitely need to do their own research. I've seen a lot of people just piling into things they don't understand."
bubble boi@bubbleboi

You think the AI bottleneck is HBM. You think it’s CoWoS. You think it’s GB200 cables or 800G optics or the Arizona power grid. You are looking at the wrong layer of the stack…. The REAL bottleneck is epoxy resin paste. Specifically, Liquid Compression Molding compound EME-G, a goopy, beige, photosensitive thermosetting resin that gets squeegeed onto HBM stacks before the mold press comes down and cures it. Without this paste, the silicon dies in an HBM stack delaminate, the TSVs crack, and your $40,000 GPU becomes an expensive paperweight. Sumitomo Bakelite (4203.T) makes roughly 90% of the world’s supply. The other 10% is split between Nagase ChemteX and Hitachi Chemical, both of whom buy precursor chemicals from Sumitomo Bakelite. The moat is vertical. The resin formulation is a trade secret developed over 38 years of iteration. It contains a specific ratio of silica filler to bisphenol-F epoxy with a coefficient of thermal expansion tuned to within 0.3 ppm/°C of silicon. Get the ratio wrong by 2% and the HBM stack warps during reflow. Samsung tried to qualify a domestic Korean alternative in 2022. They failed. SK hynix tried in 2023. They failed. Micron didn’t even try. Sumitomo Bakelite ships approximately $180M of EME-G annually at a gross margin of 74%. Each HBM stack consumes roughly $6 of resin. As Nvidia’s roadmap points to more and more HBM stacks the math is clear. Feynman GPU package has 8 HBM stacks. That’s $48 of Sumitomo Bakelite content in a $70,000 GPU. They are 0.07% of the BOM and 100% of the bottleneck. This is the most asymmetric pricing power in the entire AI supply chain and they are charging like it’s commodity epoxy because the company is run by Japanese chemical engineers who think 8% annual price increases are aggressive. In Q3 of 2026 the Nvidia Rubin Ultra ramp is scheduled and will trigger an EME-G shortage. Sumitomo Bakelite will have to raises prices 35%. The stock will get re-rated from “specialty chemicals” to “AI infrastructure.” Multiple expansion from 14× P/E to 38× P/E. It’s a three-bagger in 18 months and the stock is up >3% YTD.

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CounterParty TV
CounterParty TV@counterpartytv·
our stream today in 46 minutes 4:10 almost got addicted to Zyns 7:43 sleep score is an IQ test 10:46 big tech beats crypto 27:48 NEW META: hallucination yield 40:10 OpenAI is the only Apple killer
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Chandan
Chandan@chandan1_·
@tankots @WisprFlow I have been using wspr for the past 3 months. I don't know; it still wouldn't pick up the words correctly.
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Tanay Kothari
Tanay Kothari@tankots·
i grew up in delhi dreaming of building tech millions of people couldn't live without. today, @wisprflow is officially live in india! before this launch, i flew to india to answer one question: does wispr flow actually work here? in the back of an auto with horns blaring. a mumbai gym with punjabi music at full volume. a dhaba with the waiter rattling off the menu faster than you can type. we went and found out - it worked every single time. india became our second biggest market on its own. we 3x'd growth in 3 months with no campaigns or partnerships. people just found wispr flow organically and made it part of their daily life. the least we could do was show up for them properly. so we're launching wispr flow in india with hinglish & android support. because it's the way i've spoken my whole life. and the way everyone around me still does. grateful to my co-founder @sahajgarg6, our india lead @findingnimo_, and everyone who made this possible.
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Chandan
Chandan@chandan1_·
anyone building ai data centers in india.
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tae kim
tae kim@firstadopter·
The irony is that Google is dead in the water in agentic coding right now, not OpenAI. Can Gemini bounce back? We'll find out next month.
tae kim@firstadopter

This is a good amalgamation of the sentiment shift I see among developers online from "Anthropic is ruling everything" to "it's a 50/50 race with OpenAI" again. Despite the high views from media, Google Gemini is nowhere: "i went from 80/20 claude/gpt to 80/20 gpt/claude in <3 months. surprised by this tbh" "claude still mogs gpt for non-coding agent stuff. codex feels like an engineer (which is great for coding!)" "anthropic has got to figure out the compute thing. you can feel it as a user. vibes are all out of whack bc of it. my opinions above are all likely downstream of this. it’s an issue." OpenAI "gpt 5.5 is incredible. the level to which i trust it for engineering is amazing. if i could only have one model rn, it would be this one just bc of strong need for the coding use case." OpenAI "codex team is killing it. app has been the gold standard since 5.3 release (buuut i credit conductor team for the ui innovation that everyone is using now). though" "gemini…? seems like this is 2-3 models now where the model seems like a great release and then nobody ever uses it? i’m bullish google/deepmind but weird it hasn’t translated to product use in any form. kinda disappointed still" "no open source models have hit the opus 4.5 level. was hopeful the new deepseek would get there, but nope"

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Chandan
Chandan@chandan1_·
OpenAI and Anthropic are now competing directly with Cursor through Codex and Claude Code. That leaves Cursor dependent on the very labs it’s up against. To win, Cursor needs its own model—paired with its elite harness—and incentives strong enough to match frontier labs’ free credits.
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Chandan
Chandan@chandan1_·
@yacineMTB world critical operations run on windows.
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kache
kache@yacineMTB·
seriously literally who is still using windows these days
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