In poker and in life, increasing volume of decisions (more hands played, more bets placed) shifts outcomes from luck-dominated to skill-dominated, gradually washing out variance.
Where this was said
At 2:41:10 · chapter starts 2:37:30
Drawing on Kahneman and Tversky's prospect theory — losses feel about twice as intense as equivalent gains — Annie explains that when we consider a risky new option, we obsessively model its bad outcomes while never applying the same scrutiny to the current situation we're already living. The doctor who hated her ER job for years and had a new opportunity finally responded to one explicit question: 'What are the chances you're happy a year from now if you stay?' Zero. 'What if you take the new job?' Fifty-fifty. She quit the next day. Annie then introduces the pre-mortem: before committing to a big decision, deliberately imagine it has failed and ask what went wrong and what the warning signs were. This is the decision-making equivalent of Stoic negative visualisation, and it metabolises the fear of failure in advance — making you less loss-averse about the choice and more prepared to course-correct if things do go wrong. She also corrects the one-way-door/two-way-door metaphor: everything is quittable, just at different costs.
Annie Duke helped an ER doctor realise that her explicit probability estimate of 0% happiness if she stayed in her current job versus 50% if she took a new one made the right decision obvious — she quit the next day.
Before making a major decision, deliberately imagine that it has failed. Ask: what went wrong, what were the warning signs, how would I have known earlier? This is what Annie Duke calls a pre-mortem, and it mirrors the Stoic practice of negative visualisation. It reduces loss aversion, metabolises the fear of failure in advance, and gives you a detection framework so you can course-correct faster if things do go wrong.
Bhanu grew SiteGPT to $13,000 monthly recurring revenue entirely through organic channels, spending nothing on paid marketing.
More than 1 million people have visited SiteGPT's website since launch in March 2023, all through organic channels.
Approximately 90% of SiteGPT's Google search traffic comes from the free tools Bhanu built, not the main product pages.
Bhanu sold his first SaaS product, Feather, for $250,000 so he could focus fully on the faster-growing SiteGPT.
SiteGPT has generated approximately $500,000 in total revenue since its launch in March 2023.
The average customer lifetime value for SiteGPT is approximately $1,700 to $1,800, which Bhanu considers unusually high.
SiteGPT receives around 50,000 visitors per month, of which about 200 convert to leads and 60 start free trials.
SiteGPT hit $10,000 MRR within its very first month of launch, driven largely by early traction in the AI chatbot space.
Despite strong download numbers, PropGPT could not push past $1,000–$2,000 MRR due to poor product retention.
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