If you'd like to know how to deploy to azure Kubernetes Check out this article I wrote. https://medium.com/@brianmwangi_dev/livekit-and-azure-aks-a-match-made-in-heaven-c75e83c18b77

A lot of people have reached out to me for my LiveKit Meet UI integrated with voice agents and avatars, so I made this video to demo it and give the code for free

I have made a demo for a Pakistani Dessert Company and it is in Urdu. Do have a look and share any advice or connect to any potential client. I work in multiple langauges, Hindi, Urdu, Arabic inculding multiple dialects of English.

Ranking Voice AI platforms (spoiler LiveKit did pretty well)

Hey everyone! 👋 Just wanted to share a quick demo of something I’ve been building — a real-time voice translation project that supports multiple languages and multiple participants all at once. This isn’t a push-button “translate after the fact” service — it works live, in real conversations, with no constraint on how many languages or speakers are involved. 🧠🌍 It’s built on top of LiveKit Meet’s repo, and the goal is to help make live communication more accessible and inclusive, especially in multilingual settings. 🎥 Here’s a short demo video — Would love to hear your thoughts and feedback!

I did a video on LiveKit + Hedra...... it, is, awesome!

hey where can i get answers about my project, I built this simple stt-llm-tts pipeline. There are 2 major issues: 1] Sometimes to emphasise on the word it says astericks something asterisks. 2] Also I am not able to figure out how to reduce latency.

👋 Hello, team!

Could you check which apps I’ve built so far using LiveKit? The first one is boredants.com – an agentic chat app with a wide range of potential features. The second is vibes-hunters.com – inspired by a spatial sound game concept and built around real-time audio interaction.

https://youtube.com/shorts/ThDgzJMTQCs?feature=share This Livekit Voice AI Receptionist Captures Website Leads with 100% Accuracy (Full MVP Demo) Problem: Voice AI is not 100% accurate and can mangle customer details Solution: AI seamlessly transitions from a natural, spoken conversation to a dynamically generated, pre-filled form on the user's screen. This unique "voice-to-form" workflow guarantees that critical lead details like names, phone numbers, and email addresses are captured with 100% accuracy, every single time. Let me know what you think of this approach to solving the voice AI data accuracy problem?

hey folks - if you have hooked your livekit agent to twilio/SIP and want to test it out, we are giving a free simulation and report: https://www.linkedin.com/feed/update/urn:li:activity:7358942345804894208/

Hello LiveKit community. We’ve been building voice-enabled contact systems using LiveKit, and to give back. We’re excited to open source an internal monitoring tool we use at pypeai.com — introducing Whispey: Observability for LiveKit voice agents. Whispey takes LiveKit’s observability logs and presents them in a clean, intuitive dashboard to help you monitor, debug, and optimize your voice agents. Features: • Cost analytics – Track and understand usage costs. • Latency breakdowns – Detailed timing from VAD → STT → LLM → TTS. • LLM-based evaluations – Automatically assess conversation quality or extract data points. • Campaign tracking – Monitor performance across different initiatives. • Downloadable recordings & transcripts – For review, QA, and compliance. Deployment Options: • Open source – Runs on Vercel + Supabase today. • AWS-native version – Coming soon. Try it free in the cloud: https://www.whispey.xyz/ Contribute or raise issues: GitHub – PYPE-AI-MAIN/whispey

Hey everyone, my name is Adi and I'm a cofounder of AgentMail (YC S25). Very excited to share our integration with LiveKit today to give every voice agents its own inbox to send and receive emails in real time. https://www.linkedin.com/posts/agentmailto_what-if-you-could-give-every-voice-agent-activity-7361818263615426560-NtUR?utm_source=share&utm_medium=member_ios&rcm=ACoAADQEshQBG1avGHOcJhoS7zGI-WO9v0w5FDk

We just launched our voice assistant for email/calendar on Product Hunt. LiveKit has been instrumental for our product and we’ve given them a shoutout on our page. Appreciate any upvotes from the community on here. We are close to #1 product of the day! https://www.producthunt.com/products/harmony-ai-voice-assistant

Hey LiveKit community! I've been working on a project for the last month that was built entirely on top of LiveKit, and I wanted to share it back with the community. It's an open-source platform called InputRight. It lets you deploy an AI voice agent that turns a spoken conversation into 100% accurate, user-verified data. The core of the idea is a "voice-to-verified-form" workflow that I think is a pretty cool use case for the platform. I honestly could not have built this without the

livekit-agents

SDK for Python. The framework made it incredibly simple to stream audio into our AI pipeline, and the two-way RPC functionality was the absolute key to making the real-time, human-in-the-loop form verification possible. ⭐ GitHub Repo (Apache 2.0 License): https://github.com/jeffo777/input-right 🎬 Here's a 2-minute demo video showing it in action: The open-source kit is a complete, runnable monorepo with a React/Next.js frontend, a FastAPI token server, and of course, the Python agent. I'd be honored if you'd check it out, and any feedback, questions, or GitHub stars would be hugely appreciated! Thanks to the whole LiveKit team for building such an incredible set of tools.

I built this with livekit audio: https://aiphonebooth.xyz

👋 Hey everyone, I’m building DataLoom — it lets you connects data from various sources and helps uncover insights + take action all in one place. I am planning to include

livekit

conversation logs as a data source. For example, if you’re using

LiveKit

, you could: • Track weekly call drop rates automatically • See which sessions had the most engaged participants • Get a daily summary of call quality trends in Slack • Your use case here ... I’d love to take care of the boring analytics work for free while I’m building this, and learn more about your workflow along the way. If this sounds useful, feel free to DM me or schedule a 1:1 call using my website.

Hi everyone, breaking the pattern here, I haven’t built an AI voice agent with LiveKit. Instead, together with a friend we built Hopp, an open source remote pair programming app. Feel free to check out our implementation. I also want to give a shoutout to the LiveKit team, thanks for the great product 🚀.

Hey LiveKit community! 👋 We just launched Macrowave on Product Hunt today - a P2P radio station app for macOS/iOS that we built using LiveKit under the hood! The technical challenge: We wanted to create a way to broadcast any audio source from your Mac (Spotify, YouTube, DJ software, vinyl via audio interface) with ultra-low latency so friends could experience music together in real-time - like sharing the aux cord over the internet. How LiveKit made it possible: • Near-zero latency broadcasting (< 200ms) - crucial for synchronized listening experiences • Seamless WebRTC handling for our P2P architecture • Rock-solid audio quality that preserves the original source • Scales beautifully from intimate 5-person sessions to larger broadcasts The fun part: We wrapped it all in a skeuomorphic radio interface that makes broadcasting as simple as turning a dial. Listeners don't even need the app - just a web link! Since soft launch, we've seen DJs stream live sets, vinyl collectors host listening parties, and remote teams create shared "office radio" while working. The LiveKit infrastructure has been absolutely bulletproof. 🚀 Would love your feedback and technical questions! Check it out: [Product Hunt link] Building with LiveKit has been incredible - thanks for creating such amazing infrastructure that lets us focus on the user experience!

Hi LiveKit community, I just published an open source project to do post call analysis for voice agent calls. Here is the link to the repo - https://github.com/DrDroidLab/voicesummary. Currently have added pause, interruption and other agent behaviour markers using Librosa. Looking to build more qualitative markers as well like deviation from script etc so that builders know where to improve their agent prompts. Looking for some early feedback. Thanks

Hey Livekit community, you might be aware of the open source observability Whispey for livekit agents. added a new Whispey feature: give real-time voice feedback to voice AI agents during conversations without impacting the flow. This lets clients share feedback instantly, and devs can see it mapped to each turn with full trace details. See how we do it here - https://youtube.com/shorts/wIKw6HoWxjo?si=J_dScaqjHEJDwfZ8 whispey.xyz. github - https://github.com/PYPE-AI-MAIN/whispey

Shayne demonstrates using GPT-5 with LiveKit Agents https://x.com/shayneparlo/status/1961151611285217479

set the channel topic: Share what you have been building with LiveKit

Hey Everyone! 👋 I’m excited to share a quick demo of AceInt - Your Personal AI Interviewer — a real-time voice agent with an avatar, built using LiveKit! This real-time voice agent can talk, listen, understand, and provide a full interview experience. It’s designed to help users: • Boost confidence • Improve communication and articulation • Practice technical, coding, HR https://aceint.ai/ Here’s a sneak peek of what I’ve been building — your own personal AI interviewer for realistic, interactive practice! Product Demo 1: Product Demo 2 (with Avatar): https://www.youtube.com/shorts/SU8O78pyh_8 Would love to hear your thoughts and feedback. 🚀

I tried out LiveKit's new Avatar provider plugin Anam, and it's really good!

hey hey, livekit and bluejay are hosting an event together on building voice agents the right way, come if ur interested! 🙂 https://luma.com/4g4oocpa

hey everyone! we just launched our hardware - a voice first, screen-free curiosity device for kids & announced our fundraise! we're powered by livekit! https://x.com/theBhulawat/status/1966200231705595932

Hey everyone! Just launched Vaani, a zero code voice AI solution. With Vaani, you can build voice agents ready for production just by editing simple JSON files. You don't have to hardcode every interaction anymore. For Developers & Open Source Fans: Vaani is fully open source and designed with your needs in mind. - Pluggable & Powerful: Built on LiveKit Agents SDK with OpenAI, Deepgram, ElevenLabs, Sarvam, Pinecone integrations. - Batteries Included: Comes with RAG, conversation memory, and a tool system out of the box. - Works Everywhere: macOS, Linux, Windows, Cloud, Docker. Give it a star on GitHub & help us grow: https://github.com/namish800/vaani For Startups, Agencies & Enterprises: No need to start from scratch. Vaani can power your customer service bots, sales automation, or appointment schedulers. Our enterprise platform adds: • Real-time analytics & monitoring • MCP server support • Professional support & custom solutions • Embeddable & Customizable widgets Learn more about the platform: https://vaani.greatapeai.com How You Can Get Involved: • Developers: We're looking for contributors, especially for OpenAPl tool integration & MCP support! • Businesses: We're seeking beta testers for our enterprise platform and partners for custom solutions. We're opening our beta program to just 50 early adopters. If