Podbit · All-In with Chamath, Jason, Sacks & Friedberg
In just 18 months, Anthropic went from near-zero revenue to surpassing Workday, ServiceNow, Adobe, Salesforce, Google Cloud, and Azure. Coatue projects it could surpass AWS and total Microsoft by 2028.
Where this was said
At 6:00 · chapter starts 5:15
With the unicorn landscape consolidated, Laffont unveils what he calls the new index of the future: the Magnificent Eight. This is not just a tech list — it spans AI, fintech, defense, space, and internet, encompassing SpaceX, Stripe, Anthropic, Databricks, Revolut, ByteDance, and Anduril. [1] — Thomas Laffont "The top eight private companies now represent nearly $4 trillion in value and have handily outperformed the public Mag 7. This isn't a tech…" 03:15 Collectively these companies represent nearly $4 trillion in value, and almost every single name has outperformed the traditional Mag 7 public index. The urgency of the moment becomes clear when Laffont reveals the liquidity inflection: SpaceX is going public in weeks, Anthropic filed confidentially for its S-1 that very day, and OpenAI has publicly stated its intention to list. The combined value of just these three IPOs, he projects, will exceed all unicorn ecosystem exits of the prior decade — dramatically rebalancing an ecosystem that has been consuming far more capital than it returns.
Anthropic's revenue trajectory, starting from near-zero in January 2025, has already surpassed Google Cloud and Azure in scale, and could surpass AWS and all of Microsoft by 2028.
SpaceX's valuation per launch keeps rising as launch cadence increases — not because of rockets, but because of constellations. Each additional constellation adds a recurring revenue business, transforming SpaceX from a government contractor into a platform serving militaries, companies, and consumers globally.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
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