Reading up on business-strategy
100 deep · digging since nov 19, 25
- OpenAI Is Showing Kalshi’s World Cup Odds in ChatGPT
OpenAI announced a partnership with prediction‑market platform Kalshi to integrate its World Cup match odds directly into ChatGPT’s search answers, the AI firm’s first such collaboration.
- The Agentic Economy: The Convergence of Intelligence and the Economy
The treatise offers flexible ways to engage with the Agentic Economy concept, from a one‑minute summary to full text, audiobook, or video.
- How the Superwealthy Sidestep the Masses to Get to the World Cup
Wealthy fans bypass crowds by flying private helicopters to World Cup games, underscoring growing inequality as elite travel overwhelms public access.
- The White House Made Fixing Intel Its Pet Project. It’s Working. - WSJ
White House pressure and a $9 billion equity stake spurred Intel’s rebound, securing Apple, Nvidia and SpaceX deals and quadrupling its stock since 2025.
- A $3.2 Trillion Deal-Making Frenzy Is Spurred by the A.I. Economy
Global AI-driven deal-making hit its highest six‑month spending in a decade, though analysts doubt the surge can be sustained long‑term.
- Why Are Berries Everywhere, in Every Season? Driscoll’s.
Driscoll's, the California berry giant, has turned a local seasonal treat into a worldwide refrigerator staple and marketing juggernaut through strategic supply chain dominance.
- The Disappearing Las Vegas Buffets Hold a Mirror to the American Soul
The decline of Las Vegas buffetas reflects deeper American cultural shifts from abundance to efficiency and profit.
- Led by Buc-ees, Dolly Parton, America's gas stations go mega-size
Major gas station chains like Buc-ee's are expanding into massive retail destinations, using clean facilities and high-margin food to attract customers, while Dolly Parton enters the trend with her own travel stop.
- 14 value stocks of companies primed for rapid growth through 2028 - MarketWatch
MarketWatch identifies 14 value stocks from the Russell 1000 Value Index with high revenue growth estimates through 2028, noting value stocks tend to outperform growth during high inflation.
- Alibaba’s A.I. Is a Hit, but Hard to Turn Into a Moneymaker
Alibaba's open-source AI models gain global developer traction but struggle to generate revenue since they can be freely used and modified.
- Are the ‘MANGOS’ Stocks Already Turning Soft?
The MANGOS stocks—Meta, Anthropic, Nvidia, and others—show early signs of softening performance as the AI boom's momentum begins to fade.
- Microsoft Disclosure Provides Rare Glimpse of Tax Haven Tactics
Microsoft's disclosure reveals how it uses tax haven subsidiaries to defer billions in U.S. taxes, a practice now subject to new European reporting rules.
- OpenAI unveils its first custom chip, built by Broadcom
OpenAI unveiled its first custom inference chip, Jalapeño, designed with Broadcom and assisted by OpenAI's own models, claiming better performance-per-watt.
- Ford AI hiccups push carmaker to rehire ‘gray beard’ inspectors
Ford's attempt to replace human inspectors with AI failed, leading the carmaker to rehire experienced 'gray beard' inspectors.
- Claude Sonnet 5
Anthropic releases Claude Sonnet 5 as a more agentic, cheaper model, but Hacker News commenters argue it often underperforms Opus 4.8 in real-world tasks and appears optimized for token consumption.
- Fixxa – Quotes & Invoices for Tradespeople
Fixxa is a tool that helps tradespeople generate quotes and manage invoices efficiently.
- The economics of SpaceX
SpaceX's $2 trillion valuation is a speculative bubble driven by hype, not Starlink's connectivity economics or competitive prospects.
- OpenAI proposes U.S. government own 5% stake to address political blowback
OpenAI proposed giving the U.S. government a 5% stake worth $42.6 billion to ease political pressure, with Sam Altman arguing it shares AI benefits publicly.
- The Winning Essays for the Big Questions About AI
Three winning essays propose using AI foundations for pandemic eradication, advocating for light-touch AI policy for non-supply-chain countries, and adapting Hong Kong MTR's rail-plus-property model for AI lab profitability.
- This Music Box Is a Ray of Hope for a Decadent Tech Industry
The Yoto audio player for children proves a tech product can be profitable while countering screen addiction and techlash.
- The Company Reviving AOL, Vimeo and Other Internet Oldies Amid the A.I. Boom
Bending Spoons, an Italian company that buys aging internet brands, is going public this week at a potential $19 billion valuation, showing value in old tech names amid the AI boom.
- Salesforce employees are confused about why the company is promoting a competitor inside Slack
Salesforce promotes Anthropic's Claude Tag inside Slack, but employees worry it competes with Salesforce's own Slackbot and Agentforce.
- Agentics / Tech Things: Tokenmaxxing is dead, long live tokenmaxxing
Tokenmaxxing was a deliberate strategy to force AI adoption at companies like Meta, and despite current rollbacks, it will return as agents achieve compounding correctness and loop-based workflows.
- Intel’s Chip Business Shows Signs of Life After Years of Struggle
Intel's chip business shows signs of life after years of struggle, serving as the centerpiece of Trump's US chip-making drive, though a complete turnaround still far off.
- The 33-year-old executive Satya Nadella is trusting to save Microsoft’s AI strategy
Microsoft is betting on rising executive Jacob Andreou to retool its Copilot AI product and regain competitiveness against rivals like OpenAI and Anthropic.
- The minimum viable unit of saleable software
Falling costs of AI-assisted coding shift the build-vs-buy calculus, but hidden maintenance, organizational risk, and irrational buyer behavior keep proprietary software viable.
- Anthropic says Alibaba illicitly extracted Claude AI model capabilities
Chinese resellers sell cheap Claude tokens via pooled accounts and fraud, harvesting user data for distillation into Chinese AI models as Anthropic alleges Alibaba illicitly extracts capabilities.
- An Interview with Figma CEO Dylan Field About Design and AI – Stratechery by Ben Thompson
Figma CEO Dylan Field argues that AI is a tailwind for the company, countering market narratives, and discusses Figma's collaborative design platform and future with AI.
- 🔮 The state of the AI economy
A bottom-up analysis finds the generative AI economy generated $110B in sales over the past 12 months, with a $175B annualized run rate.
- How Honda’s Pledge to Go All-Electric Unraveled
Honda's aggressive push to sell only electric vehicles by 2040 backfired when demand slowed, leading to its first-ever annual loss and internal calls for CEO Toshihiro Mibe to resign.
- Google to pay SpaceX $920M a month for compute capacity at xAI data centers
Commenters on Hacker News argue that SpaceX's ~100x price-to-sales valuation is unsustainable, calling it overpriced compared to peers like Meta and datacenter REITs.
- I'm Eric Ries, author of "The Lean Startup" and new book "Incorruptible" – AMA
Eric Ries argues that companies succumb to 'financial gravity'—structural incentives that corrupt their mission over time—and that certain governance structures can resist this decay.
- Why Are Dress Sneakers Everywhere?
Dress sneakers evolved from Common Projects' 2004 minimalist sneaker to a business-casual staple, now signaling comfort and status, but may be declining as loafers return.
- ‘Toy Story 5’ Fuels Hollywood’s Hottest Summer Since 2019
Disney-Pixar's Toy Story 5 is expected to earn $160 million in North America, pushing the summer box office to $1.85 billion, the hottest since 2019.
- Preliminary Thoughts On The Midjourney Scanner
Midjourney's pivot to a full-body ultrasound scanner faces skepticism from radiologists due to physical limitations and lack of evidence for whole-body screening, though future AI could change its usefulness.
- About Those "Hackquisitions"...
Big tech's early 'hackquisitions'—talent deals without full acquisitions—have largely failed, with key hires departing quickly and internal chaos ensuing.
- Secretive Wall Street Powerhouse Jane Street Seizes the AI Spotlight - WSJ
Secretive Wall Street trading giant Jane Street is aggressively expanding into AI and hiring over 500 employees this year.
- ‘Obsession’ Is a Surprise Blockbuster. Who Gets the Profits?
The art director of the horror hit 'Obsession' sparked a debate about fair compensation for crew members as the film crossed $300 million at the global box office.
- How SpaceX Humiliated Wall Street
SpaceX's Starlink generated more revenue in 2023 than all other commercial space companies combined, demonstrating the financial power of vertical integration and rapid iteration over traditional aerospace contracting.
- Is Meta destroying its engineering organization?
Meta has reassigned 30-50% of engineers from core teams to data labeling for AI, sparking morale collapse and skepticism about leadership's strategy.
- Being an old school web-based sports sim dev in the era of vibe coded games
The creator of Basketball GM describes how AI-powered 'vibe coding' is enabling a wave of low-effort competitors, but he hasn't yet seen an impact on his web-based sports sim game.
- How to earn a billion dollars
Paul Graham argues that becoming a billionaire is a straightforward math problem of sustained rapid growth by making users happy, though commenters broadly reject this framing.
- How Meter Pricing Is Testing the Economics of AI
Tech firms are introducing usage-based pricing for AI services, challenging flat subscription fees and testing new economic dynamics for the industry.
- Elon Musk’s Feud With Delaware May Transform Corporate America
Elon Musk's feud with Delaware prompts him to relocate his businesses and urge other companies to follow, potentially reshaping corporate America.
- Building an LLM safe design system
Polar introduces an LLM-safe design system that allows developers to ingest usage data and enforce customer-specific access controls via their SDK.
- AI and the great CMS unbundling
AI drives the cost of content creation toward zero, making a CMS's control layer (approvals, roles, trust) more critical wherever content is shared across people and systems.
- SpaceX & the Sentient Sun
SpaceX's strategy to build a Mars city, lunar factories, and orbital AI data centers is driven by Iain M. Banks' Culture utopia, with Falcon 9 and Starlink funding the stack.
- Anthropic’s Safety Superpower – Stratechery by Ben Thompson
Anthropic's genuine belief in safety licenses it to prioritize business interests and challenge the U.S. government.
- Elon Musk Becomes the World’s First Trillionaire
Elon Musk's net worth exceeded $1 trillion after SpaceX shares surged 20% on their first day of trading, making him the first trillionaire.
- The Quiet, Galactic Ambitions of Cursor CEO Michael Truell - Business Insider
Cursor CEO Michael Truell navigated a fraught reliance on Anthropic, built in-house AI models, and struck a deal for a potential $60B acquisition by SpaceX to secure computing power.
- How to Run a News Company in the Age of Polarization and A.I. Slop
NBCUniversal News Group chair Cesar Conde predicts mainstream media will regain public trust as audiences tire of polarization and AI-generated misinformation.
- Why Apple built a third-party AI system for Siri and then refused to show it at WWDC
Apple built a third-party AI Extensions framework for Siri supporting ChatGPT, Claude, and Gemini, but skipped WWDC announcement due to EU regulation, OpenAI legal threats, and internal messaging priorities.
- Rich Californians Are Finding Creative Ways to Get Ahead of the Billionaire Tax - WSJ
California's proposed billionaire tax is prompting wealthy residents to use charitable giving and vacation-home purchases to reduce their net worth and tax liability.
- A Guide to the Biggest Winners From the SpaceX IPO - WSJ
SpaceX's IPO creates trillionaire Elon Musk and big paydays for executives, venture capitalists, and college endowments holding stakes.
- The World Cup Could Be the Biggest Sports Gambling Event Ever
Sluggish growth in online sports gambling has betting sites like FanDuel and DraftKings banking on the World Cup to drive record activity.
- About 20 New Billionaires Could Be Minted by 3 Mega-I.P.O.s
SpaceX, Anthropic, and OpenAI's potential IPOs could create about 20 new billionaires among their employees.
- SpaceX’s Unlikely Journey From Far-Out Idea to $2 Trillion Juggernaut
SpaceX's improbable success, from an idea Musk saw as having a less than 10% chance to a $2 trillion valuation, is chronicled.
- https://x.com/cb_doge/status/2065431215545749608/video/1 (via @elonmusk)
Gwynne Shotwell delivers her full speech from NASDAQ, highlighting SpaceX’s achievements and future goals.
- Is SpaceX Worth $1.77 Trillion? It’s a Pie in the Sky, Some Investors Say
Investors question SpaceX's $1.77 trillion valuation as the company loses money and faces skepticism about its revenue projections.
- He Spent 15 Years Amassing SpaceX Shares. Now Comes the Windfall.
Justin Fishner-Wolfson, a long-time early SpaceX investor and minor Musk ally, now controls a multibillion-dollar payout from his stake.
- SpaceX’s I.P.O. Could Turn 4,400 Employees Into Millionaires
An initial public offering of SpaceX could make its 4,400 current and former employees millionaires, while Elon Musk approaches trillionaire status.
- Palantir's Karp says businesses are 'unhappy' with frontier AI labs
Palantir CEO Alex Karp says enterprise customers are unhappy with frontier AI labs, which he claims prioritize 'tokenmaxxing' over understanding business needs.
- The Untrainable - Sarah Guo
As AI models commoditize measurable tasks, lasting value lies in 'untrainable' work requiring private data, trust, organizational change, and domain-specific authority.
- Can NASA Really Land Astronauts on the Moon by 2028?
NASA's 2028 Moon landing goal depends heavily on the decisions and timelines of Elon Musk's SpaceX and Jeff Bezos' Blue Origin.
- Billionaires’ Billions Are Increasing Faster Than Ever
Wealth concentration among billionaires is accelerating due to asset growth outpacing economic expansion, illustrated by Elon Musk's trajectory toward trillionaire status.
- Claude Fable 5 and new safety fables - by Nathan Lambert
Anthropic released Claude Fable 5 with uneven safety policies that silently suppress AI research queries, undermining trust and galvanizing calls for open-source alternatives.
- If Claude Fable stops helping you, you'll never know — Jonathon Ready
Anthropic's policy to silently degrade Claude for frontier AI tasks erodes developer trust, though the company later walked it back after outcry.
- Opinion | Our Stock Market Is Broken
The SpaceX IPO exemplifies how hype and speculative optimism, fueled by regulatory changes and an insular investor ecosystem, have broken the stock market's link to fundamentals.
- OpenAI Files to Go Public as A.I. Companies Rush to Wall St.
OpenAI plans to raise billions through a public offering, marking a major step in the commercialization of advanced AI technology.
Takes
All you guys almost unanimously recommended @SMB_Attorney when I asked for a startup lawyer ~6 months ago A really really cool guy to work with, very funny, informal, nice and fast He's also very pro-AI which I like so I'd check documents first with Claude quickly, let it write up some notes and send to him and then he'd review that speeding both of us up If you have some legal stuff you need I can recommend him 😊
@levelsio
emailing (by hand) every user that cancelled over the last 30 days and badgering them till I get a real answer if you exclude failed payments, acquisitions and shutdowns the results are mostly price any thoughts on how we could improve our pricing?
@frantzfries
How I'd make $10 million with AI agents
@gregisenberg
Validation is a mirage. “How do you validate if it’s going to work?” “How do you know if people will buy it to not?” “How do you validate product market fit?” “How do you validate if a feature is worth building?” “How do you validate a design?” You can’t. You can’t. You can’t. You can’t. You can’t. I mean you can, but not in spirit of the questions being asked. What people are asking about is certainty ahead of time. But time doesn’t start when you start working on something, or when you have a piece of the whole ready. It starts when the whole thing hits the market. How do you know if what you’re doing is right while you’re doing it? You can’t be. You can only have a hunch, a feeling, a belief. And if the only way to tell if you’ve completely missed the mark is to ask other people and wait for them to tell you, then you’re likely too far lost from the start. If you make products, you better have a sense of where you’re heading without having to ask for directions. There’s really only one real way to get as close to certain as possible. That’s to build the actual thing and make it actually available for anyone to try, use, and buy. Real usage on real things on real days during the course of real work is the only way to validate anything. And even then, it’s barely validation since there are so many other variables at play. Timing, marketing, pricing, messaging, etc. Truth is, you don’t know, you won’t know, you’ll never know until you know and reflect back on something real. And the best way to find out, is to believe in it, make it, and put it out there. You do your best, you promote it the best you can, you prepare yourself the best way you know how. And then you literally cross your fingers. I’m not kidding. You can’t validate something that doesn’t exist. You can’t validate an idea. You can’t validate someone’s guess. You can’t validate an abstraction. You can’t validate a sketch, or a wireframe, or an MVP that isn’t the actual product. When I hear MVP, I don’t think Minimum Viable Product. I think Minimum Viable Pie. The food kind. A slice of pie is all you need to evaluate the whole pie. It’s homogenous. But that’s not how products work. Products are a collection of interwoven parts, one dependent on another, one leading to another, one integrating with another. You can’t take a slice a product, ask people how they like it, and deduce they’ll like the rest of the product once you’ve completed it. All you learn is that they like or don’t like the slice you gave them. If you want to see if something works, make it. The whole thing. The simplest version of the whole thing – that’s what version 1.0 is supposed to be. But make that, put it out there, and learn. If you want answers, you have to ask the question, and the question is: Market, what do you think of this completed version 1.0 of our product? Don’t mistake an impression of a piece of your product as a proxy for the whole truth. When you give someone a slice of something that isn’t homogenous, you’re asking them to guess. You can’t base certainty on that. That said, there’s one common way to uncertainty: That’s to ask one more person their opinion. It’s easy to think the more opinions you have, the more certain you’ll be, but in practice it’s quite the opposite. If you ever want to be less sure of yourself, less confident in the outcome, just ask someone else what they think. It works every time.
@jasonfried
If you want to start a startup, don't learn "entrepreneurship." Learn how to build things. The hard part of startups is not "entrepreneurship" but product: to know what to build, and to be able to build it.
@paulg
Building a Moat: Self Learning Agents
@ataiiam
Jake, who built a $50K/month alarm app in 4 months, says the most valuable skill right now isn't building it's... "Focus on top of funnel only. That is the most valuable skill right now is marketing. There's so many people that can build an app and it's so easy with AI, but there's not so many people that know how to market and know how to get views." "If nobody knows about your app, it doesn't exist. You can build as many features as you want." "Building doesn't really matter so much. You got to build a good product, of course. But getting views is more of the unknown."
@starter_story
Finally, the web has native monetization. Ads were not the only way.
@brian_armstrong
The Great Descent
@chamath
"Just use Vercel." "Just use Supabase." "Just use Clerk." Cool. Now your auth, database, and deployment are owned by 3 different companies who can change pricing whenever they want. And the rest of your product is wrapping OpenAI. At some point you have to ask yourself: what do I actually own here?
@SimonHoiberg
> pick commodity SaaS > make it AI agent first > sell the value, not the product > 🤑
@marclou
If I was starting a new company today, I'd start a small pie shop on the corner somewhere. Counter service with some stools, incandescent lighting, just a few pie choices in a rotating display, and a mug for coffee. Probably call it "A piece of pie and a coffee, please". One flat price. Coffee and a slice of pie included. Don't want the coffee? Don't drink it. Don't want the pie? Don't eat it.
@jasonfried
Product Shape is the Moat
@scottastevenson
Let It Crash: How to Steer What Comes After
@vijaypande
The Economy of Tokens
@vipulved
I am so curious to see how @WisprFlow team handles this PR situation on X
@_nishankj
A friend asked me how to actually build a company that runs on AI agents. I drew him 4 simple diagrams and this is what I told him: For this to work, a few things have to be true. - The humans move up to strategy, taste, and judgment while agents handle the execution. - The whole business becomes readable to agents. Your data, SOPs, pricing, permissions, and decisions all live in one shared context layer. - And you point it at the right work. Repetitive enough for an agent, complex enough that the incumbents never bothered. That's the goldmine. In the old world, the company was the people. They held the knowledge, made the calls, did the work. In this new world, the people become the creatives, the agents become the labor, and the company itself becomes the context layer. That shared brain is the actual company now. The humans and the agents are just plugging into it. Which means the most valuable thing you can build in 2026 is a business so well-documented that an agent can run it. I see it everyday with @MeetLCA. I don't talk about it much publicly, but we've built a SWAT team for building AI-native orgs and AI-native products. The moat is how legible your company is. I drew it all out below.
@gregisenberg
My favorite thing @om wrote was actually an interview with Brunello Cucinelli in 2015. And to this day, I think it’s the single best thing you can read on running a business. Better than any book, better than any article. Read it: https://om.co/2015/04/27/brunello-cucinelli-2/
@jasonfried
I built Polsia into a $250M company in under 3 months. Solo + AI. Zero employees. Everyone asks me how I did it. Introducing aisloP, a docu-series on how I build Polsia. Episode 1: The Launch. How I orchestrated the biggest Twitter launch of 2026.
@Bencera
1. Circle AI An AI partner that builds, runs, and grows your digital business with you. Describe your dream business and bring it to life with Circle AI.
@sidyadav
introducing killedbyopenai dot com a digital graveyard for everything openai has killed. what am i missing?
@benhylak
And then I saw this flying by 🤭
@levelsio
Owning vs. Renting Intelligence
@lqiao
less than 2 months after launching @postbridge_ i got an offer to buy it for $3,000 then 10 months after launching i got an offer to buy it for $1,000,000 i decided not to accept either offer and for awhile there when growth stalled i thought maybe i made a mistake but in the last few months MRR doubled and we're now at nearly $40K MRR.
@jackfriks
A frontier without an ecosystem is not stable
@satyanadella
The Physics of a Fable
@Rafa_Schwinger
You have $0 for marketing. Your product just launched. How will you get users?
@clarefinds
Pleasant Hollow: A cozy business simulation game. Everything is fine. https://pleasanthollow.neato.fun
@Shpigford
32 Principles of a Viral Product
@marclou
tibo talking about the pain of an earnout is *real*. it was a huge reason i sold baremetrics for "just" $4 million. the fact that i refused to entertain any earnouts or contractual obligations after close immediately killed nearly every offer. i'd sold businesses before and knew that once i was "done" (i.e. willing to sell), that it was over. that every day i was still obligated to work on it would be torture. after spending *decades* being self-employed, working a job because i was contractually required to would kill my soul.
@Shpigford
Moats Need Models (via @sahar__zadeh)
@saharsolimano