Podbit · The Prof G Pod with Scott Galloway
Snap is projected to do over $6 billion in revenue this year while trading at only a $7 billion market cap — implying roughly an 80% discount. Galloway says the real unlock would be spinning out its Spectacles hardware division. The counterargument: Evan Spiegel seems comfortable being the young billionaire CEO of an online nation of Zoomers and has little incentive to change.
Where this was said
At 47:00 · chapter starts 42:50
Bending Spoons is pricing its IPO and Galloway runs the numbers live: Q1 2025 revenue of $270M with a $120M loss has flipped to $625M in Q1 2026 with $27M profit — a roughly $2.5B annualised run rate. The valuation at $18-20B implies approximately 8x revenue, reasonable for a SaaS business with 88% recurring revenue. [1] — Scott Galloway "Bending Spoons — the Italian company behind AOL, Vimeo, and WeTransfer — is pricing its IPO at $18-20B on a $2.5B revenue run rate with 88%…" 42:50 The bear case is leverage: 4x debt-to-EBITDA is aggressive, and organic growth is only 13%. Coogan's counter is structural: legacy brands like AOL that have already survived cloud disruption, mobile disruption, and social disruption are the most defensible businesses in tech. Nobody is vibe-coding an AOL competitor in 2026. The business runs on long-term advertiser relationships, not venture growth dynamics, which makes it genuinely different from what kills most tech startups.
Bending Spoons — the Italian company behind AOL, Vimeo, and WeTransfer — is pricing its IPO at $18-20B on a $2.5B revenue run rate with 88% recurring revenue. Galloway likes the concept; Coogan argues legacy brands that survived cloud, mobile, and social disruption are almost impossible to kill. The bear case: 4x levered debt and barely organic growth.
Bending Spoons, pricing its IPO at an $18-20B valuation, has 88% recurring revenue across its portfolio of legacy consumer brands like AOL and Vimeo.
TBPN found a way to put ads in front of the most ad-immune people on earth. Before his live interview, Mark Zuckerberg sat with headphones on while John Coogan read him a Ramp ad. The in-studio screen showed sponsor logos. Then every clip shared afterward ended with a full ad read. The reach per dollar is enormous — because the audience is exactly who the advertiser wants.
TBPN's integrated ad model is so embedded that John Coogan read a Ramp ad directly to Mark Zuckerberg before his interview, reaching an audience member who normally never sees ads.
Every 1-minute TBPN clip shared on social media has brand logos and a full ad read at the end, dramatically extending advertiser reach beyond the live show.
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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