Podbit · The Rest Is Politics
Denmark was the EU's biggest oil producer when it decided to stop all future North Sea oil and gas licensing. The economic calculus was straightforward: the investment required to extract dwindling reserves couldn't compete with falling renewable prices. Wind, not oil, is the North Sea's future.
Where this was said
At 17:35 · chapter starts 15:10
Rory Stewart mounts the episode's most direct intellectual challenge: the claim that green energy is cheap energy is politically dangerous because it isn't always true. Industrial electricity prices in the US are lower than in Europe; the UK has no hydro backup and needs gas-fired stations when renewables don't deliver. Why should the public believe the slogan when their bills tell a different story? [1] — Dan Jørgensen "An energy bill has three components: the raw price of energy, transmission costs, and taxes. The first is physics; the other two are pure p…" 15:58 Jørgensen responds by decomposing the energy bill into its three components: the market price of energy (physics), transmission costs (infrastructure investment), and taxes and levies (pure political choices). On the last element, he points out that several EU member states tax electricity at four times the rate of gas — a structural perversity that both raises bills and discourages electrification. Reversing these tax incentives, he argues, would immediately lower bills, incentivise the switch to electricity, and accelerate the transition.
Claiming green energy is cheap is seductive but politically fragile. When it isn't — because of transmission costs, backup generation, or grid limits — the credibility of the whole transition argument collapses. Rory Stewart argues advocates need to own the trade-offs, not deny them.
An energy bill has three components: the raw price of energy, transmission costs, and taxes. The first is physics; the other two are pure political choices. Some EU member states tax electricity four times more than gas — the opposite of what a sensible climate or consumer policy would dictate.
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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