Podbit · PBD Podcast
Apple raised Mac prices 15–20% and iPad prices 15–25%, wiping out $268 billion in market cap. Microsoft followed with increases up to 31%. Tom explains the root cause: chip demand has exploded with AI data centers while supply has not kept pace.
Where this was said
At 1:23:52 · chapter starts 1:17:00
Patrick introduces ITR Economics — a private forecasting firm operating since 1948, claiming 94.7% accuracy by its own audited methodology — and walks through its five-driver depression thesis: aging and shrinking workforce, high government debt, rising entitlement obligations, slower productivity growth, and simultaneous demographic shifts across all developed nations. [1] — Patrick Bet-David "ITR Economics, which has been accurately forecasting economic cycles since 1948 with a 94.7% accuracy rate, predicts a major global depress…" 1:17:00 Tom responds by validating each argument: Social Security and Medicare debt are already in crisis, interest on the U.S. national debt now exceeds defense spending, and no politician on either side will campaign on the necessary reforms. He compares the coming scenario to 2008-09 — but warns this one won't bounce back to 2013, it will be a prolonged trough. Adam draws the 100-year parallel to the Great Depression: Black Tuesday 1929, 25% unemployment in the 1930s, bank failures, and a recovery only enabled by World War II. Patrick argues the only structural fix would require campaigns on cutting Social Security, slashing SNAP, and extending retirement ages — all electoral poison. He closes with practical advice: diversify into gold, real estate, stocks, crypto, and non-duplicatable assets. He also cites Social Security insolvency projected for 2032, which would trigger a mandatory 22% benefit cut affecting 70 million Americans.
ITR Economics, which has been accurately forecasting economic cycles since 1948 with a 94.7% accuracy rate, predicts a major global depression beginning around 2030 and lasting until 2036. The drivers: aging populations, government debt, entitlement obligations, and slowing productivity across all developed nations simultaneously.
ITR Economics, accurate 94.7% of the time since 1985, forecasts a major global depression beginning around 2030 with a trough around 2036.
GTA 6 cost $2 billion and 13 full years to develop—more than the $1.5 billion cost to build the Burj Khalifa.
Social Security statements have warned for over 20 years that the fund runs out around 2032. When that happens, benefits face a mandatory 22% cut. With 70 million beneficiaries and no politician willing to campaign on reform, the collision is unavoidable.
Social Security is projected to become insolvent by 2032, at which point benefits could face a mandatory 22% cut affecting 70 million Americans.
Apple raised MacBook Air prices by approximately $200 (up 20%), with iPads rising 15–25%, causing a $268–270 billion drop in Apple's market capitalization.
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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