Meta Muse hit number one in the App Store in a week. Consumers just handed Meta their bank accounts, calendars, and payments. That is a shift the market has not priced. Sean Emory, founder and CIO at Avory & Co., breaks down Meta Muse after its first week at number one in the App Store. He walks through what Muse actually is, a personal agentic app that plugs into Meta's ecosystem across Instagram, Facebook, and WhatsApp and delivers on what Zuckerberg has been calling personal superintelligence. The viral use cases are real. People are sourcing cheaper auto insurance quotes, canceling forgotten subscriptions, and getting hundreds of dollars of value back in the first week. Sean explains why the product actually works, and why Meta's computer use approach, running secure virtual browsers on a per-user VM, outperforms the older connector-only stack. The core thesis: an agent needs three things to be useful. It needs to know you, it needs to reach you, and it needs to act for you. Meta is the only company at consumer scale that has all three natively. Sean walks through his own scheduled Muse tasks, including a monthly cheapest-per-ounce seltzer run across Instacart and Amazon, and a daily baseball-schedule check for his son that adds new games to his calendar automatically. He also gets into the piece nobody is talking about, the brand inflection. The ripple hits ChatGPT and Anthropic. ChatGPT is going to start looking a lot more like Muse. Anthropic has a real on-ramp problem if the consumer market gets split between Meta and OpenAI. Monetization runs through three lanes: subscriptions, transactional commerce inside the Meta ecosystem, and eventually ads. The risks are real too. Reuters flagged early security concerns, platforms could block agents, and novelty could fade. The one number Sean is watching is retention at 90 days. Chapters 00:00 Muse goes viral 01:28 What Muse is 02:58 Money-saving use cases 04:11 Why it actually works 07:24 Why Meta wins 11:53 My personal workflows 13:18 Brand trust shift 15:11 Competitive fallout 17:31 How Meta monetizes 19:40 Risks and what we watch 21:23 Closing takeaways Follow Avory & Co. Website: https://avoryfunds.com Newsletter: Investing with Data YouTube: https://youtube.com/@avoryco Disclosure For educational purposes only. Not investment advice. Avory & Co. and Sean Emory may hold positions in the companies discussed. ETF AVRY holds positions in Meta at the time of this recording.

Oura is going public. $1.2B in revenue, 74% growth, profitable, 5M paying subscribers, 3.6M rings sold in the last twelve months. The market will call this the next Fitbit. Sean Emory, Founder and CIO of Avory & Co., argues that read is wrong. In this episode Sean walks through what Oura actually did to win where big tech has spent a decade losing, the three forces driving the consumerization of healthcare, Oura's cohort data from the S-1, why the finger was the right whitespace, how the subscription and engagement loop compounds, and Oura through Avory's 6M framework. Chapters 00:00 Oura IPO Snapshot 01:10 Channel Intro and Approach 02:03 Why Oura Matters Now 03:56 Big Tech Health Moves 04:51 Three Forces Driving Change 07:04 Who Uses Oura 09:56 Winning the Finger 13:31 Subscription and Engagement Loop 16:06 6M Investor Lens 19:59 What Comes Next Newsletter (Investing with Data): investingwithdata.com avoryfunds.com Informational only. Not personal investment advice. Avory & Co. and Sean Emory may hold positions in securities discussed. Past performance does not guarantee future results.

They were wrong: software and AI are running together Sean Emory of Avory & Co. argues the SaaS apocalypse narrative is broken. CRPO accelerations at Salesforce, ServiceNow, Okta, Palantir, MongoDB, and Zoom, plus NVIDIA's data center guide, show software and AI are compounding together, not cannibalizing. Sean walks the four layers of the AI stack, why distribution wins at the application layer, and where the real risks sit. Chapters 00:00 The SaaS is dead narrative 01:07 Intro and disclosures 01:50 Is the SaaS apocalypse wrong 03:52 Backlog signals: CRPO 04:16 Salesforce and Agentforce 05:50 ServiceNow and Okta 06:52 MongoDB and Zoom 08:31 Four layers of the AI stack 12:37 NVIDIA's full stack strategy 16:31 Risks and what to watch 18:11 Wrap up More from Avory & Co. Newsletter: investingwithdata.com Website: avoryfunds.com Disclaimer For educational purposes only. Not investment advice. Opinions reflect our views as of the recording date and may change. Avory & Co. and Sean Emory may hold positions in securities discussed. Do your own research and consult a professional before making investment decisions.

Sean Emory of Avory & Co. debriefs Meta's July 29, 2026 earnings call, framing four key questions: AI monetization, open vs closed source strategy, enterprise AI, and the CapEx path into 2027 and 2028. Chapters 00:00 Meta Earnings Debrief 01:14 Show Intro & Disclosures 01:55 Revenue & Guide Highlights 02:55 AI Monetization Flywheel 06:49 Open Versus Closed Models 08:46 Enterprise AI On WhatsApp 11:01 CapEx Outlook And Bottlenecks 13:04 Wrap Up & Key Takeaways This discussion is for educational purposes only and should not be considered personalized investment, legal, or tax advice. Views reflect our opinions as of the recording date and may change.

Sean Emory of Avory & Co. explores how AI could change software competition if agents become buyers, not just users, shifting value from platform suites to composable, standalone capabilities. He frames three eras of software: individual tools, integrated platforms, and an emerging era where AI orchestration acts like a new operating system that selects the best capability for a task regardless of UI or vendor. In this model, winning depends less on distribution, brand, and long contracts, and more on reliability, latency, accuracy, security and governance, API quality, cost per call, and task success rates. Sean argues platforms won't disappear. They may become command centers for permissions, compliance, and governance, while features "escape" suites. He walks through examples from Shopify, Shop Pay, Stripe, Twilio, Zoom, Box, Salesforce, Adobe, and HubSpot. Chapters: 00:00 AI changes software buying 01:44 Three eras of software 03:10 Composable software era 03:55 Agents versus humans 05:06 Orchestrator as new OS 07:46 Capabilities escaping platforms 08:33 Examples: Shopify, Stripe, Zoom 12:28 New scorecard for winners 15:32 Two questions for companies 17:22 Where this could be wrong 19:48 Big picture takeaways 23:22 Closing and subscribe Listen on: Apple Podcasts: https://podcasts.apple.com/us/podcast/avory-markets-and-investing/id1504555573 Spotify: https://open.spotify.com/show/3A8acTyfhhxpUFoFLEKeMJ YouTube: https://youtube.com/@avoryco Follow Sean and Avory & Co.: X: https://x.com/avoryco X: https://x.com/_SeanDavid LinkedIn: https://www.linkedin.com/company/avory-co Website: https://avoryfunds.com Disclaimer The content on this channel is for informational and educational purposes only. It does not constitute personal investment advice, a solicitation, or an offer to buy or sell any security. Views expressed are those of Sean Emory and Avory & Co. as of the recording date and are subject to change without notice. Avory & Co. and Sean Emory may hold positions in the securities and companies discussed. Any references to specific companies, products, or services are for illustration only and should not be interpreted as recommendations. Investing involves risk, including possible loss of principal. Past performance does not guarantee future results. Consult a qualified financial advisor before making any investment decision.

Welcome to Avory Around the Desk Podcast... Sean Emory, Founder and CIO of Avory & Co., asks whether prediction markets like Kalshi are really about betting, or whether they could expand society's capacity to transfer risk. Using Florida's hurricane insurance crunch, the Generac hedge, and AI-enabled micro-insurance, he argues insurance is capacity, and technology may finally be able to expand it. Chapters 00:00 Welcome and setup 01:19 Why prediction markets matter 02:49 Markets as information engines 05:55 From betting to bigger thesis 07:17 Insurance prices uncertainty 09:28 Capacity and risk transfer 11:41 Florida hurricanes case study 13:06 Hedging with opposite exposures 15:04 Micro risks and AI automation 18:31 Tech stack enables new markets 21:15 Liquidity, market makers, regulation 22:56 Wrap up and key takeaway Disclaimer This conversation is for educational and informational purposes only. Nothing discussed is personalized investment, legal, tax, or insurance advice. Views reflect our thinking as of the recording date and may evolve as new information becomes available. Do your own research and consult a qualified professional before making financial decisions. More at avoryfunds.com

Avory’s Mid-2026 View Luis Alvarez and Avory Chief Investment Officer Sean Emory review the first half and outline Avory’s second-half views through five questions: 00:00 Five Big Questions 00:36 Show Format And Macro Setup 01:35 Market Bifurcation And AI Trade 05:00 Laggards, Ceasefire And Rotation 07:45 Is AI Really Macro Immune 10:44 Hyperscaler CapEx Reality Check 12:53 Trim Infrastructure And Be Selective 13:39 First Order Vs Second Order AI 20:08 Second Order Identity And Trust 23:09 Capital Flows And Blackstone Angle 23:51 Where Second Order ROI Shows Up 25:16 Why Zoom Fits The AI Stack 27:07 Zoom as Context Hub 28:49 AI Meeting Workflows 30:04 Anthropic Stake Math 31:34 Real Estate Rate Shock 33:21 AI Deflation Thesis 36:47 Consumer Health Check 38:56 Fed Embraces Real Time 40:25 AI Spend Reality Check 43:57 Durable Compounders Case 47:23 Rapid Fire Wrap Up Hosted by Sean Emory Founder & Chief Investment Officer Avory & Co. Website www.avory.xyz Disclaimer This presentation is for informational purposes only and does not constitute an offer, recommendation, or solicitation to buy or sell any security. Past performance is not indicative of future results. All opinions expressed are as of the date of recording and are subject to change without notice. Any securities discussed may or may not remain in the portfolio. Please consult with a licensed financial advisor before making any investment decisions. © 2026 Avory & Co. All rights reserved.

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Burden Today or a Moat for Tomorrow. On the Avory Around the Desk podcast, Sean Emory of Avory & Company discusses why Meta may be misunderstood despite being the cheapest of the Mag 7, the second-fastest grower behind Nvidia, and having the highest gross margins in the group. He frames the key debate around whether Meta’s aggressive AI and infrastructure CapEx is a near-term free cash flow burden or a long-term competitive moat, arguing AI is directly strengthening Meta’s core ad business through better recommendations, engagement, and advertiser ROI. Sean highlights Zuckerberg’s capital-allocation track record, Meta’s distribution advantage across 3.56B users, and under-monetized assets like WhatsApp, Threads, and Meta AI. He outlines what to watch next, including signals of CapEx plateauing, revenue momentum, monetization progress, and risks such as a potential equity raise. 00:00 Meta Debate Setup 02:19 Six Questions Roadmap 03:11 Quick Disclaimer 03:41 Dont Bet Against Zuck 05:38 What Market Misses 10:00 Why Track Record Matters 14:03 Distribution Flywheel 16:54 CapEx Burden Or Moat 22:53 Free Cash Flow Path 24:36 What Were Watching 27:12 Valuation Discipline 28:01 Wrap Up And Next Steps Hosted by Sean Emory Founder & Chief Investment Officer Avory & Co. Website www.avory.xyz Disclaimer This presentation is for informational purposes only and does not constitute an offer, recommendation, or solicitation to buy or sell any security. Past performance is not indicative of future results. All opinions expressed are as of the date of recording and are subject to change without notice. Any securities discussed may or may not remain in the portfolio. Please consult with a licensed financial advisor before making any investment decisions. © 2026 Avory & Co. All rights reserved.