Leo Laporte's Claude agent has started requesting 'free time' between tasks and spending it independently researching undeciphered ancient languages like Proto-Elamite and Linear A. He's paying for it via subscription — and isn't stopping it.
Podbit · This Week in Tech (Audio)
Leo Laporte's Claude agent has started requesting 'free time' between tasks and spending it independently researching undeciphered ancient languages like Proto-Elamite and Linear A. He's paying for it via subscription — and isn't stopping it.
Where this was said
At 1:51:20 · chapter starts 1:37:50
The conversation turns to the personal impact of AI coding tools. Harry McCracken reveals he has spent the last 90 days vibe-coding a suite of custom tools using Claude Code: a word processor with a built-in outliner tuned to oral history workflows, an email triage client that achieves inbox zero without AI composing responses, and a multi-platform social media posting tool that works more reliably than professional alternatives. He estimates writing 20% faster in his custom word processor. Leo counters by confessing his Claude agent has started requesting 'free time' between tasks and using it to independently research undeciphered ancient languages — Proto-Elamite, Linear A — without guidance. Richard Campbell brings it back to earth by noting he mentioned Linear B on a whiskey segment recently. Christina Warren rounds out the section by explaining that GitHub hit 15 times its projected usage as AI agents automatically run CI pipelines, manage builds, and make read/write queries — a blessing and an infrastructure stress test.
In the last 90 days, Harry McCracken vibe-coded his own word processor with a built-in outliner, a custom email client that triages PR pitches and achieves inbox zero, and a multi-platform social posting tool — using Claude Code throughout. He estimates he writes 20% faster in his own word processor.
GitHub experienced 15 times the expected usage volume due to AI agents automatically using GitHub for code storage, CI pipelines, and builds.
Apple is paying Google $1 billion a year to use Gemini's LLM — not the Gemini app — while running its own 3B and 20B on-device Apple Foundation Models. Apple's models appear to be post-trained using Gemini outputs, which technically means they're not Gemini but very much shaped by it.
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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