Podbit · The Prof G Pod with Scott Galloway
The New York Times reported OpenAI may delay its IPO until 2027 due to market volatility. Galloway says that's a lie. The real story is OpenAI is a 'drunk spender' whose growth is collapsing and whose CFO needs to clean house before going public.
Where this was said
At 4:17 · chapter starts 3:35
The episode's most structurally interesting financial point arrives here: Anthropic, long considered OpenAI's ambitious but smaller rival, has now filed for its IPO at a valuation of $965 billion — overtaking OpenAI's $850 billion figure [1] — Scott Galloway "Anthropic has filed confidentially for its IPO at a $965 billion valuation, leapfrogging OpenAI's $850 billion. Galloway calls it 'the flip…" 03:25 . Galloway coins this 'the flippening,' borrowing crypto terminology to describe a power inversion in AI market leadership. He then turns the conventional wisdom about post-IPO cooling on its head: instead of making boards cautious, SpaceX's performance should embolden the AI companies. If the market will pay 110 times revenues for SpaceX, Anthropic entering at 40 times revenues would look like a bargain — actively encouraging rather than delaying their listings. The logic is counterintuitive but financially coherent.
SpaceX went public at 110 times revenues, making Anthropic at 40 times revenues appear comparatively cheap to institutional investors.
SiteGPT attracted over 1 million visitors and $500K in total revenue without spending a cent on paid marketing. The secret: engineering as marketing — building free tools that rank on Google.
Bhanu quit his first job after just 8 months, moved back to his parents' house to cut costs, and started building. One product sold for $250K; the next hit $10K MRR in its first month.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
Marketing feels painful for most builders. Engineering as marketing flips the script: instead of writing cold emails or blog posts, you build things — and those things rank on Google forever.
Don't spend months perfecting before launch. Ship the core feature, get real users, and let their feedback dictate the product roadmap. Premature polish is a trap.
SiteGPT launched and hit $10,000 MRR within its first month. That momentum was so overwhelming that Bhanu sold his existing SaaS, Feather, for $250,000 to free up all his time.
PropGPT launched with 20 downloads a day and strong influencer marketing but hit a ceiling at $1,000–$2,000 MRR. High download numbers masked a critical flaw: almost nobody stuck around after the free trial ended.
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