Reading up on ElevenLabs
15 deep · digging since nov 26, 25
- AI Receptionist for Small Business
Reception.ai provides an AI receptionist that answers calls 24/7, books appointments, and handles requests in 70+ languages using business-specific rules and real-time availability.
- mrieck/demoday-claude-plugin: Claude Code plugin that creates demo videos for your projects. Claude is given tools to drive the browser/cli, make recordings, and uses FAL.ai, ElevenLabs, and remotion to build a demo video with scene transitions.
DemoDay is a Claude Code plugin that creates polished demo videos by letting Claude control the browser/CLI, generate AI voiceovers, and render edits using FAL.ai, ElevenLabs, and Remotion.
- AI's Bundling Moment
As AI model release cadence accelerates to every 42 days, companies like Harvey, Glean, and ElevenLabs are expanding from single workflow tools into broad platforms, reversing the SaaS-era unbundling strategy.
- Institutional AI vs Individual AI - by George Sivulka
Individual AI tools boost personal productivity but fail to improve firm-level outcomes until organizations redesign their processes and coordination structures around AI.
- Async Developer Platform
Async Developer Platform launches a low-latency TTS API with voice cloning, 15+ languages, and pricing starting at $0.50/hour, claiming faster response times than ElevenLabs and Cartesia.
- How I built a sub-500ms latency voice agent from scratch
By piping Deepgram Flux, Groq's LLM, and ElevenLabs TTS with geographic optimization, the author achieved ~400ms end-to-end voice agent latency, beating Vapi by 2x.
- Clawdbot Showed Me What the Future of Personal AI Assistants Looks Like - MacStories
OpenClaw is an open-source, local AI agent that can self-improve by writing scripts and setting up integrations via shell access, reshaping the future of personal digital assistants.
- GitHub - resemble-ai/chatterbox: SoTA open-source TTS
Resemble AI releases Chatterbox Multilingual V3 and Turbo, open-source TTS models with improved speaker similarity, reduced hallucinations, and paralinguistic tags.
- First Hire | Sound for Movement
A solo music-business owner describes how treating ChatGPT Pro as a first hire over one year replaced most SaaS tools, cut expenses from 33% to 3-5% of revenue, and enabled full-stack development and generative-audio research without coding experience.
- The Economics of Replacing Call Center Workers With AIs — LessWrong
In 2025, voice AI APIs cost $5–$32/hour, making them more expensive than human call center workers in most developing countries until inference costs drop around 2030.
Takes
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
@karpathy
ESTO ES JODIDAMENTE INCREÍBLE un dev en solitario acaba de abrir el código de un reemplazo 100% GRATIS de ElevenLabs que se ejecuta completamente en tu propia máquina. el repo de GitHub está en 19.4K estrellas. te permite: → clonar una voz desde un clip de referencia limpio → doblar cualquier video a 646 idiomas → generar audiolibros, dictado, transcripción → elegir entre 14 motores TTS en lugar de uno ElevenLabs soporta 32 idiomas. esto hace 646. sin cobro por carácter. sin límites de uso. ningún audio sale nunca de tu computadora. guarda esto para después. os dejo el repo abajo
@liambraus
introducing, https://leadbee.io 🎉 paste any URL → get a launch video built w/ @firecrawl + @ElevenLabs + @Remotion + @clerk here's a demo of @jonathan_wilke's https://outbid.lol
@MakerThrive
Wow making YouTube videos fully agentic is such a sick experience now. - Davinci Resolve + Fusion - Remotion - Blender - Seedance 2.5 - Elevenlabs Man you can make some cool videos! I'm about to launch a few new faceless channels with cool startup/technology documentaries. Being a solo founder in 2026 is the best.
@SimonHoiberg
Fable is really good at launch videos It essentially one-shotted this video. I told it to read my launch post and create a launch video. That's it. It ran for 46 minutes (without asking me any questions), found all the product logos, and spit this out. I then asked it to add music, so it logged into my @ElevenLabs account within my Chrome, generated the music, and mixed it in. Wild.
@lennysan