Podbit · The Diary Of A CEO with Steven Bartlett
MicroStrategy had maxed out every conventional capital market. Lawyers and bankers said it couldn't be done. Saylor turned to ChatGPT, which helped engineer STRK — a variable-rate preferred stock no one had ever created — that raised $10.5 billion in its first IPO and $15 billion total.
Where this was said
At 33:23 · chapter starts 33:10
Bartlett asks about AI as a business tool for ordinary people, and Saylor responds with his most remarkable concrete example: he literally used ChatGPT to make $15 billion. By 2025, MicroStrategy had maxed out both the equity markets and the convertible bond markets — it was the largest convertible bond issuer in the world. Growth had hit a wall. So Saylor turned to AI: he fed ChatGPT the problem of designing a hybrid security that was neither pure equity nor pure debt, could trade stably around $100 per unit, and varied its dividend rate to maintain stability. No lawyer, no banker, and no precedent supported it — every expert said 'we've never seen that done.' ChatGPT said: yes, you can, here's how. The result was STRK, which launched as the largest IPO of the year, raised $10.5 billion in that instrument, and with a companion instrument raised $15 billion total. The key lesson: the value of AI is not doing what everyone else does — it's asking it to solve problems that have never existed before.
MicroStrategy used ChatGPT to engineer a never-before-seen variable-dividend preferred stock (STRK), raising $10.5 billion in that instrument plus $4 billion more — approximately $15 billion total.
Saylor cited a statistic that only 2% of households currently have a ChatGPT or AI subscription, representing a major arbitrage opportunity for early adopters.
Every transformational technology has a 12–24 month window where it becomes commercially viable for the first time. Arrive 36 months early and you fail. Arrive late and you're competing with giants. The entrepreneurs who win are the ones who find that exact inflection point.
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.
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.
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