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Thursday, October 15, 2026· 9722 stock ideas· 217 writers·
16,031 views· 7,476 clicks

AppLovin Deep Dive

AppLovin rebuilt its ad model with AXON 2.0, lifting LTM revenue to about $7 billion and margins to 77% as Unity competition threatens auction take rates.

APP $88B
Speedwell Research 3 clicks

From X

@AsifSuria

Asif Suria on X

Looks like Nike $NKE isn't able to just do it anymore. It will need a significant amount of energy and work to regain its place in stores. I remember reading in Phil Knight's Shoe Dog book that his coach Bill Bowerman felt that runners only had a limited number of all-out races in their legs. I think they were referring to the legendary runner Prefontaine who unfortunately died in a car crash late one night in Eugene, Oregon. Incidentally I was in Eugene last year with some friends for a Ducks game and we crossed Pre's rock a few times as we drove up to our Airbnb in the hills above the University of Oregon. I hope Nike has a few more all-out races left in it. Overall I don't feel like the brand is impaired in the eyes of consumers despite their recent preference for On $ONON and Hoka $DECK. Disclosure: I am long $ONON but have been watching $NKE closely.
@convequity 3 clicks

Convequity on X

$META bulls say its ad cash flow lets it undercut the AI labs on price. The Muse Wonder launch shows Meta matching their prices instead. Meta released Muse Wonder and Muse Wonder Full on Monday and says they score level with Claude Fable 5.1 and GPT-6 Astra on its own tests. Three details from the launch. 1. Wonder costs $4 per million input tokens and $20 per million output tokens on Meta's API. TechCrunch puts that in the same price band as GPT-6 Sol and Opus 5.5. Meta is pricing with the labs, not under them. 2. The stronger model, Wonder Full, is not on the API at all. It is only available to Muse Code subscribers. A developer comparing API models is not buying the model Meta uses to claim the frontier. 3. Both models are distributed only through Meta's own API and Muse Code subscriptions, and the launch says nothing about releasing the weights. I read this as Meta adopting the labs' business model rather than attacking it. The frontier model is a subscription product, and the API is priced at the labs' level rather than below it. That weakens one part of the bull case. If Meta is not undercutting, the price pressure on the labs that bulls expected has not arrived with this launch. The question for the results on 21 October is what Muse subscriptions, Muse Code and the API are earning against the spend on the Prometheus data centre that trained these models, not whether Meta can take the labs' customers on price.
@aleabitoreddit 1 click

Serenity on X

$AGLT (Agility Robotics) has cleared SEC review for public listing through $CCXI If you want an estimate timeline: ~Oct 13 (today): SEC S-4 declared effective ~Nov 2nd (shareholder vote): for merger approval ~November: Merger closing and ticker goes live for trading. Company’s official statement was: “The business combination remains subject to approval by Churchill XI shareholders and other customary closing conditions, and is expected to close in November 2026.” So likely less than a month away for the first pure play US humanoid company to go live!

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