Podbit · God Mode Podcast
If Elon makes Grok open source, it could be a decisive competitive strike: Grok is already one-tenth the price of Claude and ChatGPT, and open-sourcing it would let anyone run it on commodity compute. Ben calls it a 'badass 4D chess move'.
Where this was said
At 50:00 · chapter starts 45:52
The Elon Corner is the episode's most speculative and entertaining section, combining confirmed calls with forward-looking chess moves. The $380 billion compute contract between Anthropic and SpaceX gets recapped first — a deal that now looks like both parties building leverage over each other. The dark fiber analogy resurfaces: unlike the 2000s telecom bust, every GPU in production today is being utilized, which is why the bubble thesis doesn't quite fit. SpaceX's acquisition of Cursor is flagged as a sleeper story: Rik has been getting near-unlimited auto-mode use from Cursor since the deal, routing through both the Composer model and Grok 4.5. The most intriguing speculation is Ben's 4D chess framing around Grok: if Elon open-sources Grok, it instantly makes every proprietary frontier model look overpriced by comparison. Grok is already one-tenth the cost of Claude and ChatGPT. Combined with Elon feeding all of SpaceX's engineering history into the next model, the hosts suggest Grok could become the default go-to model for anyone unwilling to pay frontier prices.
Ben observed that to make an AI product 10% better than before now requires spending 100% more tokens, meaning optimisation gains are shrinking.
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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