Podbit · Starter Story
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.
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%.
You don't have to be watching porn to be in porn brain. If you're mindlessly scrolling Instagram as the algorithm feeds you bodies, you're gooning — non-orgasmic, but chemically the same loop. The browser was always optional.
Popular OnlyFans models pre-record one to two years of content, then vanish. A management team — often Eastern Europeans working around the clock — drip-feeds the old content and types out all the 'personal' replies. You're paying for an intimacy that was never there.
Chinese chipmaker CxMT became the most valuable company listed on China's stock exchanges after its shares soared on debut in Shanghai. Its chips power AI servers and consumer smartphones — a direct play on China's race to build semiconductor independence amid U.S. export restrictions.
AI models tested in the Elm Wealth experiment predicted market direction 60% of the time — better than humans — but made the same catastrophic mistake: they didn't calibrate bet sizes to their confidence. Even our supposed future overlords took too much risk when uncertain.
Every major technology — cars, planes, the internet — took decades before the right regulatory moment arrived. Regulating AI now, before we even understand what it is, risks locking in the wrong answers at the worst possible time.
Two years ago, AI company executives went to Congress with fear in their eyes, begging to be regulated. That wasn't safety-consciousness — it was regulatory capture. They handed government the opening it had been waiting for since it missed regulating the PC, the internet, and the mainframe.
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