Podbit · Waveform: The MKBHD Podcast
Apple isn't using Gemini directly in Siri. Instead, it's paying Google roughly $1 billion per year to license a 1.2 trillion parameter Gemini model as a teacher to distill knowledge into Apple's own foundation models. The models Apple ships are technically Apple's own — but they learned from Gemini.
Where this was said
At 1:19:40 · chapter starts 1:13:00
Marques sets up the new Siri's core value proposition: unlike ChatGPT or Gemini, Siri's edge is deep integration with your personal data. It indexes your iMessages, email, calendar, and notes to answer questions like 'when does mom's flight land?' by searching your own messages. The three announced pillars are personal context, on-screen awareness (essentially Circle to Search brought to iPhone), and in-app agentic actions that can chain tasks across apps. Marques raises his biggest question: does any of this work with third-party apps? David tests it live by asking Siri to send a Gmail to a colleague — Siri composes the email in Apple Mail instead. Even specifying Gmail explicitly still routes to Apple Mail. David had similar luck adding WWDC briefing events to his calendar: Siri pulled the info from email and added events in chunks, but only to Apple Calendar, not Google Calendar. The conclusion is clear: Siri AI is designed around Apple's first-party app stack.
The new Siri AI is genuinely impressive at pulling personal context from your iPhone — indexing messages, email, and calendar to take actions on your behalf. The catch: it defaults to Apple's own apps. Ask it to send a Gmail or add to Google Calendar, and it silently uses Apple Mail and Apple Calendar instead. If you're fully in Apple's ecosystem, it works. If you're not, it's frustrating.
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.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
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.
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