Podbit · Call Her Daddy
At 22, Katie Couric's debut White House report was so rough that CNN president Reed Schoenfeld called in and said he never wanted to see her on air again. Instead of quitting, she went to local news, covered murders in Miami, interviewed Ray Charles, and put in her 10,000 hours.
Where this was said
At 19:10 · chapter starts 19:00
Before landing the Today Show, Katie Couric was 22 and looked 16, and her first live White House report at CNN was, by her own admission, terrible. The president of CNN at the time, Reed Schoenfeld, called in to say he never wanted to see her on air again [1] — Katie Couric "At 22, Katie Couric's debut White House report was so rough that CNN president Reed Schoenfeld called in and said he never wanted to see he…" 19:10 . The blow was devastating — full of self-doubt, she nearly abandoned journalism entirely. But she looked around the newsroom and concluded those more experienced colleagues were only ahead of her because they'd done it longer. So she went to local news: covering drug deals gone bad and murders in Miami, interviewing Ray Charles in Atlanta, possibly even Boy George. She covered the Pentagon with no military background and worked obsessively hard. The lesson crystallised into a quotation from Malcolm Gladwell's 10,000-hour rule. She also recalls a DC news director telling her that if she wanted to anchor again she should try 'a really, really, really small market' — and years later, bumping into that same news director and asking him, 'Is the whole country a small enough market for you?' The message to younger listeners: rejection is information, not a verdict.
The president of CNN told executives he never wanted to see a young Katie Couric on air again after her very first live White House report.
Katie Couric cited Malcolm Gladwell's 10,000-hour rule to explain how early setbacks forced her into local news work that ultimately prepared her for national anchoring.
Becoming the first woman to solo anchor the CBS Evening News made Katie Couric a historic figure — and an immediate target. Network insiders sabotaged her ideas, the audience resisted change, and media critics picked apart her makeup and hand placement. She describes it as one of the most challenging periods of her life.
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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