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Thursday, October 22, 2026

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@HaydenCapital 2 clicks

Fred Liu on X

AppLovin - Interview with Xiaochuan (architect of $APP's Axon engine). Thought this was the most in-depth public conversation on AppLovin's business to date. (P.S. Youtube has great subtitle translation) Axon & Technical Philosophy - Axon was built by just 5 people in 3 months - AppLovin was the first to implement models with prediction windows exceeding 7 days - Deliberately avoids developing its own LLMs, preferring to use the best available models on the market — building LLMs in-house wouldn't generate the best ROI E-Commerce Expansion - Decision to enter e-commerce made in May 2024, with the product launching later that year; original team was only 10 people - Entering e-commerce was effectively building a new model from scratch - The gaming and e-commerce algorithms share nothing except infrastructure and accumulated organizational experience Core Competency & Culture - AppLovin's edge isn't industry-specific — it's rooted in how the company approaches problems (the culture itself), which he believes positions them to tackle challenges well beyond gaming and e-commerce - His relish for being called an "underdog" comes through clearly throughout the interview Social Media Ambitions - Already working on building a next-generation social media platform - Strategic logic: Meta started with captive organic traffic and built an ad platform on top; AppLovin is doing the reverse - starting with the ad platform and building toward organic traffic - Owning that organic traffic, if achieved, would be a significant advantage Short Seller Response - When the short reports were published, Xiaochuan personally reviewed the systems and code to assess whether the claims had merit Hiring Philosophy - After 2023, overhauled hiring: moved to paying among the highest salaries in Silicon Valley, and shifted focus away from seasoned veterans toward people with fewer than 2 years of experience - Core belief: experience is overrated, the capacity to learn is underrated; breakthroughs come from willingness to abandon convention - "You can't operate like a large company if you don't have a large company's resources" - Most prominent AI researchers are overpriced — high visibility and intense competition drives salaries beyond their marginal value - Targets talent at the "periphery of the spotlight": technically strong but undervalued by the market, and still carrying the underdog mentality that well-known names often lack (i.e. "Moneyball") - Entire engineering org runs on fewer than 100 people https://t.co/vXaWUZGkZt

Investor Letters

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MYR Group q3’26 Earnings Preview

MYR Group’s Q3 2026 preview cites data-center and power transmission demand, with long-term service agreements supporting margin growth and…

MYRG $4.2B
Monte Independent Investment Research 6 clicks

Mosaic, Part One: The Story

Mosaic’s history traces the 2004 Cargill-IMC merger and the phosphate and potash mines that shaped NYSE: MOS.

MOS $5.8B
Latticework by MOI Global 34 clicks

Mosaic, Part Two: The Deep Dive

Mosaic, NYSE: MOS, is the subject of a second audio program for professional investors analyzing fertilizer producers.

MOS $5.8B
Latticework by MOI Global 5 clicks

Tesla Q3 FY12/26 Earnings Analysis

Tesla’s Q3 revenue was flat at $28.0 billion, while operating income fell 56% as R&D spending on AI rose 69%; SpaceX merger discussions are…

TSLA $1.6T
Cestrian Capital Research 6 clicks

Meta Earnings Update: Q3 2026

Meta’s Q3 revenue rose 26% to $64.6 billion, but $34.9 billion in AI infrastructure spending drove free cash flow negative as it created…

META $1.6T
SixSigmaCapital: Navigating the Financial Markets 3 clicks

Meta: 3Q26 Business Update

Meta’s Family of Apps revenue grew 26% as Muse reached 10 million users, testing AI-agent commerce while Amazon restricts access and…

META $1.6T
Speedwell Memos 4 clicks

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