Podbit · The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
In July alone, OpenRouter added 70 models — one every 10 hours. And that's before agent labs like Cognition, Cursor, and Jeff Dean's new venture have even started releasing their own models in earnest.
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At 25:45 · chapter starts 19:12
The Jevons paradox — the counterintuitive idea that cheaper resources drive more consumption — has been theorised about extensively in AI circles but rarely demonstrated with clean data. Alex delivers that data: OpenAI cut GPT-5.6 Luna's price by 10x on OpenRouter, and within two weeks usage grew 13x. [1] — Alex Atallah "OpenAI cut GPT-5.6 Luna's price 10x on OpenRouter. Usage exploded 13x. This is the Jevons paradox playing out in live data, and it's the mo…" 19:31 The growth then stabilised at that 13x multiple and continued growing at the same underlying rate as before. Alex notes that Luna is now in the top 3–5 models by token volume on OpenRouter — the first time an OpenAI model has cracked that ranking in a very long time. He also acknowledges the methodological challenge: OpenRouter captures roughly 1.5–2% of total token volume and has a selection bias toward companies that believe in the multimodel thesis. That said, as the platform scales, its data becomes increasingly representative of broader market behaviour.
Token prices have fallen approximately 90% over the last 18 months, raising questions about whether lower prices help or hurt OpenRouter's revenue model.
After OpenAI cut GPT-5.6 Luna's price 10x on OpenRouter, usage grew 13x — a near-perfect real-world Jevons paradox demonstration.
OpenAI cut GPT-5.6 Luna's price 10x on OpenRouter. Usage exploded 13x. This is the Jevons paradox playing out in live data, and it's the most bullish possible signal for the entire inference economy.
GPT-5.6 Luna is now in the top 3–5 models by token volume on OpenRouter, the first time an OpenAI model has reached that ranking in a very long time.
OpenRouter launched 70 new models in July 2025, roughly one model every 10 hours, reflecting the explosive pace of AI model development.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
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