Riley Green has done plenty of things that looked bad on paper — financially questionable, off-brand, too risky. Every single one led to something else. The Voice came from a chain of those yes decisions. His rule: when your career is on an upward slope, you can't turn down the right things.
Where this was said
At 1:32:55 · chapter starts 1:30:30
Riley gives a candid inside look at The Voice production. Blind auditions run at roughly 18 contestants per day in 12-hour shoot days. There's no advance notice of who's coming — it's genuinely unscripted. The hardest part isn't turning; it's finding new and interesting things to say when a singer isn't quite making it, without repeating yourself. Many vocally talented performers arrive visibly winded by nerves — chairs facing away, lights on, audience watching, cameras rolling. Riley sympathizes. He also raises a redesign idea he's been sitting on: the chair should start facing the artist and turn away when a coach loses interest, not the reverse. This would create a more honest dynamic — you'd be making direct eye contact when you press the button to disengage, and the artist would know in real time. [1] — Riley Green "The Voice: 18 acts per day of filming: During blind auditions for The Voice, Riley Green and the coaching panel evaluated approximately 18 …" 1:28:28
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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