Voice actors who spend an hour reading copy can now create an ElevenLabs voice, license it across languages, and earn passive income. The platform has paid out over $22M to its community — turning the gig model into a royalty model.
Podbit · All-In with Chamath, Jason, Sacks & Friedberg
Voice actors who spend an hour reading copy can now create an ElevenLabs voice, license it across languages, and earn passive income. The platform has paid out over $22M to its community — turning the gig model into a royalty model.
Where this was said
At 20:50 · chapter starts 15:34
Jason poses the uncomfortable question: ElevenLabs uses frontier models but enables its own potential demise by teaching them about voice. Casser is candid but composed. The company's model-agnostic stance (offering Anthropic, OpenAI, Google, and open-source options to customers) is actually a strategic moat — customers build orchestration layers on ElevenLabs without being dependent on any single model. On the research side, Casser argues the voice advantage is architectural, not computational: you need fundamentally different model structures and specialized proprietary data — which is why ElevenLabs employs 1,000+ contractors just to label audio [1] — Mati Casser "ElevenLabs has consistently outperformed OpenAI and Anthropic on voice models — text-to-speech, speech-to-text, turn-taking, and music — no…" 25:55 . He describes a planned move toward owning the full interaction layer: not knowledge work or coding, but every layer of communication — text-to-speech, speech-to-text, turn-taking, music. He closes with an audacious goal: passing the voice Turing test in 2025, making AI conversation indistinguishable from a human one.
ElevenLabs has built three safeguards against voice abuse: trace every generation, moderate both voice and text inputs to block commercial scams, and provide open tools for anyone to detect whether an audio sample was AI-generated. Responsible development baked into the core product.
ElevenLabs has paid over $22 million to community voice talent through its marketplace, enabling voice actors to license their voices and earn passive income.
A woman who lost her voice before her wedding used ElevenLabs to restore it and speak her vows for the first time. This is also the work of a US Congresswoman who lost her voice to cancer and delivered the first AI-assisted congressional speech.
Epic Games used ElevenLabs and the James Earl Jones estate to deploy an interactive Darth Vader in Fortnite, letting players converse with the character live. This is the model for extending celebrity IP into real-time interactive experiences across the world.
Epic Games launched an interactive Darth Vader character in Fortnite powered by ElevenLabs, in partnership with the James Earl Jones estate and Disney.
ElevenLabs has consistently outperformed OpenAI and Anthropic on voice models — text-to-speech, speech-to-text, turn-taking, and music — not through bigger compute, but through specialized architecture and 1,000+ contractors labeling proprietary audio data. Specialization beats scale here.
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.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
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.
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