Podbit · The Rest Is Politics
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.
Where this was said
At 15:10 · chapter starts 12:55
The question from listener Francesca challenges the fundamental logic of unilateral EU climate action. Jørgensen's response is to dissolve the premise: the green transition is no longer primarily a cost — it is the cheapest route to energy security and lower bills. Europe has paid €50 billion more for energy since the Middle East crisis without receiving an extra molecule. The cheapest energy to produce today, in rank order, is solar, then onshore wind, offshore wind, then gas, coal, and nuclear. He also pushes back on the idea that Europe is acting alone: China is the world's biggest deployer of renewables, India is moving in the same direction, and even Texas sets new wind-turbine installation records every year — all driven by economics, not ideology.
Despite the Trump administration's pro-fossil stance, Texas sets new wind-turbine installation records every year. The economics of renewables are so compelling that even the heartland of American oil culture is deploying them at scale — driven by business logic, not ideology.
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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