Tuesday, October 13, 2026

Back to today

From X

@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

Expert Call | Nebius

Nebius’s 1 GW annual active-capacity target from 2027 is realistic, according to a former product manager, with greenfield data centers…

LQDA: finer powder, higher doses

Liquidia’s Yutrepia sales reached $170.4 million in Q2 2026, while a patent ruling threatens its PH-ILD label but leaves PAH sales and a…

“Is Ralph Lauren Still Relevant?”

Ralph Lauren’s 2017 CEO change put Patrice Louvet in charge of reversing nine quarters of same-store sales declines and restoring the…

AMADF · long

Amadeus It Group SA

Amadeus IT Group turns long after shares fell more than 20% since a November short call.

A temporary glitch?

Coupang’s November 2025 cybersecurity breach tests whether a selloff is temporary despite its 28% Korean e-commerce share, 14 million-plus…

Boyz in the Hood

Robinhood’s AI agents, 24/7 equity trading and 10:1 crypto perpetual futures encourage higher retail trading velocity, leverage and…

Publications we follow

Every publication on this site, hand-picked.

130 publications

Newsletters 108

X accounts we follow

Every account on this site, hand-picked.

89 accounts

Investor letters we follow

189 firms

Sectors

Ordered by how often our editor reaches for them.