Stuart Kearney (@StuartKearney) header
Stuart Kearney (@StuartKearney) profile picture

Building @yahoo

San Francisco, CA
Joined January 2009
Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)Photo by Stuart Kearney (@StuartKearney)
Stuart Kearney retweeted
Some think of Yahoo! as an old business, decaying. But somehow @jlanzone and team are doing the unexpected - and really turning it around into a relevant modern juggernaut. Kudos to my friend Jim even if he sucks at fantasy football. great ROI for its investors too.
NEW: In 2021, Apollo acquired a massive internet business for ~$5B. Just 5 years later, it's become *one of the fastest-returning deals in the firm's history.* 700M monthly users. Billions in revenue. And an enormous distribution advantage that would be nearly impossible to replicate today. Apollo's Reed Rayman recruited Jim Lanzone (@jlanzone) to lead the turnaround. The company? @Yahoo. I sat down with CEO Jim Lanzone, one of the internet industry's most accomplished turnaround executives, to go inside @apolloglobal's PE M&A playbook for Yahoo, the economics of the acquisition, & why this may be one of the most underrated assets in tech. The numbers: › ~$5B acquisition › 700M monthly users, including 100M+ each across Yahoo Finance & Sports › 75% direct traffic, with ~75% of daily users logged in › Hundreds of millions in annual ad-tech losses addressed through restructuring › Major divestitures including AOL, TechCrunch & Edgecast › One of Apollo's fastest-returning deals, with Jim saying they're now "playing with house money" › Newer search companies valued at 6X Yahoo despite having a fraction of its users, revenue & profitability But the most interesting part of this deal is the operator. Before Yahoo, Jim helped drive a 50X stock increase at Ask Jeeves, grew CBS Interactive from 70M to 220M users, and led Tinder. And unlike the traditional PE playbook of aggressive cost extraction, PE micromanagement, Apollo backed an experienced product executive to restructure the business, rebuild its leadership, & reinvest in growth. Now Yahoo is moving from turnaround to comeback, with an entirely rebuilt product ecosystem, its own AI search engine through Yahoo Scout, and a potential path back to the public markets. We get into what it's really like operating under Apollo, the leadership decisions behind the turnaround, the value of internet distribution at scale, and why some startups with less than 0.1% of Yahoo's users command higher valuations. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Jim Lanzone, CEO of Yahoo (01:33) How Apollo bought Yahoo for $4.8B (04:16) Taking over a company in the middle of COVID (07:22) Is private equity really the villain? (12:42) The mistake that handed Google the internet (16:09) Where Yahoo's 700M monthly users come from (17:07) Why Yahoo sold AOL & TechCrunch (21:21) "You can't skip levels of the video game" (27:58) Why people still trust Yahoo in the AI era (30:26) How Yahoo Scout competes with ChatGPT & Perplexity (33:48) Saying no to the AI gold rush? (37:31) From turnaround to comeback (39:42) One of the fastest paybacks in Apollo history (42:50) The biggest mistake companies make at scale (44:21) Silicon Valley startups are now worth more than Yahoo with 0.1% of its users (46:25) Why Yahoo is ready for the next crash (48:57) Barry Diller, Tinder & the tweet that predicted Yahoo (54:36) Is Yahoo finally back?
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Stuart Kearney retweeted
In June, @SamAsante and I launched Typeahead, the first product from our new company. Today we're releasing our next Mac app. It's called Beam, and we're live on Product Hunt. I've got Macs all over my house doing different work. Some run agents and local models. Others handle builds. When I want to use one app on another Mac, I usually end up navigating a whole second desktop through Screen Sharing. Beam brings that app's window onto the Mac I'm using. It gets its own Dock icon and shows up in ⌘Tab. I can type into it and resize it while everything keeps running on the other Mac. Sam has put a lot of care into making this feel natural. The video shows it better than I can explain it. Live on Product Hunt → producthunt.com/products/bea…
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Stuart Kearney retweeted
introducing ═══════════ 𝚌𝚏𝚘.𝚊𝚒 ═════════════ tl;dr 1/ runway is now cfo.ai 2/ you can hire @arithecfo and he can start TODAY 3/ you can give @arithecfo a test drive by replying to this thread with any ridiculous thing you want him to model for you, and he'll come back to you with a beautiful, detailed, fully wired financial model ... in 30 minutes or less now, story time: 🧵 1/n
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Stuart Kearney retweeted
Anyone who has interviewed Ed Zitron or had him on their show in the name of “AI skepticism” has made their audience dumber and less prepared for what is actually happening.
How accurate have Ed Zitron's AI skeptic predictions been? danluu.com/zitron/
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Stuart Kearney retweeted
Very fun to join @tbpn in the ultradome today and to chat @Yahoo, @YahooSports + @YahooFantasy, and @YahooFinance
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Stuart Kearney retweeted
Replying to @joshm
This is why I am so excited about the next year. Taking all this incredible technology and making it actually useful and approachable and enticing for mainstream people in their lives. We are on the cusp.
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Stuart Kearney retweeted
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
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Stuart Kearney retweeted
seeing a lot of fantano discourse. lemme just say this: there are those who dig wells and there are those who drink from them and then there are those who lay in the grass beside them loudly appraising the taste and clarity of the water as if their thirst grants them dominion
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This launch video is as wholesome as Jo is amazing. Great work @liveink and @pradeep24
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So excited to see what @sergeisorokin builds here. He’s been someone I turn to whenever I need product advice, so it’s wonderful to see him back on the playing field.
I spent 8 years scaling Discord and got burnt out cause modern work is broken. We’re overwhelmed with too much info across apps, teams, and agents. AI made it worse. We’re building the solve. I've joined @tryhighlight as CEO and we raised a $40M Series A led by @KhoslaVentures.
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Stuart Kearney retweeted
introducing 🐺 AlphaClaw, the ultimate setup harness for @openclaw. open-source, self-managed, free-to-use, with no lock-in. AlphaClaw makes OpenClaw setup and maintenance easier by providing an elegant GUI that wraps OpenClaw's CLI. 📅 Google Workspace OAuth & pubsub built in w/ gog-cli 🔄 Auto-backup to GitHub 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser and editor, no SSH needed 🐕 Watchdog auto-detects crashes, self-heals gateway 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug 📊 Token usage & cost analytics built in ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub i didn't build alphaclaw to replace openclaw or compete with it. openclaw is the best user-owned AI agent framework out there and more people should be able to use it without wrestling a CLI for two hours. there are so many managed "deploy your AI in seconds" product. but they lock you into their platform. if they pivot, shut down, or jack up pricing, your agent goes with it. alphaclaw gives you that same one-click simplicity, but everything runs on your infra with your data. no proprietary backend. no config hostage. if railway disappears tomorrow, you still have a standard openclaw instance backed up to your own github repo. everything alphaclaw does, you could do manually. it's just automation and UI on top of the real thing. outgrow it? disagree with its opinions? eject. your openclaw instance is still a standard openclaw instance. to make it convenient, i’ve created both a one-click deploy template on railway and render to start quickly. make sure you have 8GB of ram on your instance. look forward to your feedback and to building this out with the @openclaw community! 🦞 github.com/chrysb/alphaclaw feature deep-dive in the 🧵
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Big launch today from @liveink and @pradeep24! ycombinator.com/launches/PZb… highly suggest you check it out. If you’ve been inspired by openclaw but want something user friendly and built by people that deeply understand how to build great software this is for you.
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Stuart Kearney retweeted
just scraped 4,784 AI agent skill repos from 5 registries 59% ship executable scripts 12% are completely empty some are shipping malware lots of dupes if you’re running a self-learning openclaw, a heads up. pradeep.md/2026/02/03/ai-age…
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Stuart Kearney retweeted
A few thoughts about PayPal, nearly 12 years after I left. I woke up this morning to dozens of messages from former PayPal colleagues. It pushed me to finally speak up. I never spoke publicly about the company after I left. Part of that was loyalty to John Donahoe, who gave me an unlikely opportunity, handing the reins of PayPal to a startup guy who, on paper, had no business running a then 15,000-person organization. But part of it was something else: I had left. I chose not to stay and fight for the changes I believed in. Speaking from the sidelines felt like armchair commentary. Easy opinions without the burden of execution. So I stayed quiet. But twelve years of silence is long enough. And today's news makes it clear the pattern I've watched unfold isn't self-correcting. I left PayPal in 2014 because I was deeply frustrated. We had executed a silent turnaround of a company that had lost its soul. We brought back engineering talent, shipped good products quickly, and acquired Braintree and Venmo. The company was on a tear. So much so that Carl Icahn felt compelled to accumulate a position in eBay and push for a PayPal spinoff. At the time, eBay decided to fight Icahn. It was a difficult period for me, caught between what I felt was right for PayPal and my loyalty to the eBay team. This is when Mark Zuckerberg approached me to join Facebook. The combination of his conviction that messaging would become foundational, the appeal of going back to building products at scale, and my growing exhaustion with the internal politics at PayPal and eBay eventually convinced me to leave and join one of the best teams in the world, one I had admired for a long time. In the summer of 2014, I met John in a café in Portola Valley and told him I had decided to leave. During that conversation, he told me that Icahn had effectively won the fight, that PayPal was going to become an independent company, and he tried to convince me to stay on as CEO, but I had already said yes to Mark, and my word is my bond. There was no turning back. After my departure, the board scrambled to find a replacement, and it took a few months for them to land on Dan Schulman. The leadership style shifted from product-led to financially-led. Over time, product conviction gave way to financial optimization. Much of the momentum we had created still persisted and carried the company forward, mainly driven by Bill Ready, who came over in the Braintree acquisition and rose to COO. Under his leadership, Venmo grew exponentially, and total payment volume (TPV) accelerated quickly. But the shift under Schulman became more pronounced after Bill's departure at the end of 2019. With him went the product conviction that had defined the post-spinoff momentum. Then, for a period, COVID-fueled online shopping hid a lot of the company's new weaknesses. During that period, the company made a fundamental miscalculation: it optimized for payment volume instead of margin and differentiation. It leaned into unbranded checkout, where PayPal had the least leverage, instead of branded checkout, where the margin, data, and customer relationship actually lived. Visa masterfully structured a deal that effectively ended PayPal's ability to steer customers toward bank-funded transactions, which had been a core driver of PayPal's economics. Not long after, PayPal lost a significant portion of eBay's volume. Over time, it saw its share of checkout among its most profitable customers steadily erode as Apple Pay and others continued to execute well. The same pattern repeated itself across lending, buy-now-pay-later (BNPL), and new rails. On lending, PayPal missed the opportunity to turn it into a platform weapon. Products like Working Capital were conservative, short-duration, and optimized for loss minimization. Lending never became programmable, never became identity-driven, and never became a reason for merchants or consumers to choose PayPal over something else. The missed opportunity in BNPL was even more striking. Klarna, Affirm, and Afterpay didn't just offer installment payments, they built consumer finance brands, persistent credit identities, and new shopping behaviors. PayPal saw the BNPL turn, entered the market, and had every advantage: distribution, trust, and merchant relationships. But BNPL was treated as a defensive checkout feature rather than an offensive category. There was no attempt to turn it into a core consumer relationship, no super-app behavior, and no meaningful differentiation for merchants. Others built platforms, PayPal added a feature. The failure to lean into building and owning new rails followed the same logic. After the spinoff, PayPal had a once-in-a-generation opportunity to build a global, at scale payment network. Instead, the company focused on building on top of existing networks and third-party rails. More recently, that mindset carried over to PYUSD. Technically, the product was sound. Strategically, it launched without a compelling transactional reason to exist. PYUSD had distribution, but no organic demand. It was not embedded deeply enough into flows to become a true settlement layer, a cross-border merchant rail, or a programmable money primitive. It sat adjacent to the product instead of inside the core of it. Acquisitions during this period followed a similar pattern. Honey was not a strategic acquisition for PayPal. It added activity, but not leverage. It lived outside the transaction, monetized affiliate economics rather than payment economics, and never meaningfully strengthened PayPal's control of the customer or the checkout moment. Xoom solved a real problem in remittances, but it never compounded PayPal's advantage. It scaled volume without changing the underlying rails, identity graph, or settlement model, and as importantly, it didn’t cater to a high-value, high-margin customer archetype. None of these were bad companies. They were just a wrong fit for PayPal and became unnecessary distractions. The board eventually recognized the problem. In 2023, they brought in Alex Chriss, an Intuit veteran with a strong product background, explicitly to restore product conviction. It was the right instinct. But Alex came from software, not payments. He understood SMB product development. He didn't have the muscle memory for transaction economics, network effects, or settlement infrastructure. In hindsight, he also made an error: clearing out much of the leadership team that understood payments deeply. Executives with years of institutional knowledge departed within his first year. This morning, Alex was removed as CEO. Branded checkout grew 1% last quarter. The board tapped another operator, Enrique Lores, the former HP CEO who's been on the PayPal board for five years. I don’t know Enrique. And he might be a great leader, but on paper at least, he’s a hardware executive. For a payments company. The common thread through all of this is incentive design. Once PayPal became independent, short/medium-term predictability beat long-term vision and ambition. Stock performance mattered more than platform risk and network opportunity. Financial optimization replaced product conviction. I'm not claiming I would have made every call differently. Running a public company at scale involves tradeoffs I didn't have to make after I left. But the pattern, choosing predictability over platform risk, again and again, was a choice, not an inevitability. Over time, the company that had every advantage and could’ve become the most consequential and relevant payments company of our time, lost its mojo, its product edge, and its ability to compete in a market that’s being rewired and reinvented in front of our eyes. That's the part that's hardest to watch for a company I care so deeply about.
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Stuart Kearney retweeted
may i just add that the hysteria around the moltbook thing - in terms of treating it as anything more than a fun experiment - is absurdly stupid. you mean when you told a bunch of instruction following llms to go create their own social network they started cosplaying as ai’s with their own social network? no way!!! and you mean to tell me people can prompt said ai’s to behave however they want (or just manually post as humans pretending to be ai’s)? c’mon guys. be better. it’s a very fun experiment and worth talking about. you can ofc imagine a version in the future where they’re actually coordinating, and this has helped make that more concrete for people. but if you believe for a second that they’re actually coordinating and that it’s an agi takeover or something, then either you’re farming clicks (again, be better), or extremely clueless about how models work. it’s frustrating that the masses will take it as serious. ugh. it is fun though!
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Stuart Kearney retweeted
Here's the story of how I vibe coded a #judo #randori tracker before I even landed in Sapporo. I started this project on Claude Code Opus 4.5 when I was in San Francisco and committed my changes 24 hours later. I wanted a tracker to help me keep track of what thrills I was doing during randori. Nothing existed, so I vibe-coded something.
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Stuart Kearney retweeted
When Shohei Ohtani was a high school freshman, he created a detailed "dream sheet" with one central goal: to be the #1 draft pick for 8 NPB (Nippon Professional Baseball) teams. It was a 64-cell roadmap based on a framework called the Harada Method. Here's exactly what Shohei did 👇 1. First, some history.... The Harada Method was created by Takashi Harada, a Japanese junior high track coach. He took a team ranked last out of 380 schools and, using his system, turned them into the #1 team in the region within 3 years. They held that top spot for the next 6 years. 2. You start by placing your main goal in the center of an 8x8 grid. For Ohtani, this was "be the #1 draft pick." 3. Next, you identify 8 critical supporting pillars needed to achieve that goal. These surround the main goal. Ohtani's 8 pillars were: • Body • Control • Sharpness • Speed • Pitch Variance • Personality • Karma/Luck • Mental Toughness 4. You then break down each of those 8 pillars into 8 smaller, actionable tasks or daily routines. This fills out the entire 64-cell grid, turning a massive dream into a concrete, daily action plan. To improve his karma, he listed tangible actions like: • Showing Respect to Umpires • Picking up trash • Being positive • Being someone people want to support 5. The method goes far deeper than just technical skills. It forces you to analyze your weaknesses and build confidence. It also has a highlight on service to others, emphasizing that humility and contributing to your community are essential for personal success. 6. The key to the system is daily execution and accountability. Once the 64-cell chart is complete, you turn the tasks and habits into a daily diary and a "Routine Check Sheet." It’s designed to transform abstract intentions into a measurable, daily practice.
The legend continues! Shohei Ohtani is the NL MVP for the second straight season!
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