Podbit · Moonshots with Peter Diamandis
As data center growth continues, low Earth orbit isn't the final destination — the Moon is. Training runs need coherent terrestrial clusters. But inference can go orbital. Eventually, the largest non-terrestrial compute clusters will need to be on the Moon, not in LEO. Earth becomes the training hub; space becomes the inference hub.
Where this was said
At 1:21:08 · chapter starts 1:20:00
Peter notes 50% of planned 2026 AI compute is delayed by activist protests. Dave argues terrestrial data centers remain essential and identifies Crusoe and Project Stargate as key builders.
Approximately 50% of the 9 gigawatts of planned 2026 AI compute capacity has been delayed due to organized activist protests.
Every major revolution shares one ingredient: educated 18-to-28-year-old men whose expectations collide with reality. Young software developers are losing jobs at a disproportionate rate. The same conditions that sparked the French Revolution, the Iranian Revolution, and the Arab Spring are building again — amplified 100x by AI-assisted social media.
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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