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Products that do what Testing voice AI and listening to calls takes time, so we automated it does
Hey HN! I’m Akshay, and I built Elixir with my good friends, Chetan and Andrew. Elixir ensures your voice agent is reliable and works as expected in production through automated testing and call review. We built Elixir while trying to solve some of our own problems when building CodeCoach (https://www.trycodecoach.com/), an AI technical interviewer. We found ourselves spending significant time manually listening to calls for issues ranging from interruptions and transcription errors to user frustrations and poor conversation experiences, as well as trying to test the agent on…
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I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses. What moved the needle: Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection. The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience. STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural…
Mar 2026 · ntik.me
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Powering the next-gen of smart, trusted voice agents
2025 · elevenlabs.io
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We're living in this weird asymmetry where companies use AI to talk to us, but we're still manually dialing them. Companies everywhere are adopting AI voice agents lately. Big retail, family dentist clinics, local pharmacy. This year, I've been in a few calls where it's super natural sounding AI, which has been pretty cool to experience. But then it got me thinking - why are we, the consumers, still the ones making calls if they're using robots for theirs? So I built Piper: basically AI that makes phone calls for you. You tell it what you need (book appointment, check on an order, dispute…
2025 · pipervoice.com
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Hi Hacker News, This is definitely out of my comfort zone. I just wanted to show you guys because I'm super proud of it. It's a 100% faithful recreation based off of the schematics, patents, and ROMs that were found online. So please watch the video and tell me what you think https://youtu.be/auOlZXI1VxA The reason why I think this is relevant is because I've been a programmer for 25 years and AI scares the shit out of me. I'm not a programmer anymore. I'm something else now. I don't know what it is but it's multi-disciplinary, and it doesn't involve writing code myself--for…
Jan 2026
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TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice bot, achieving 500ms voice-to-voice response times, including a 200ms delay waiting for a user to stop speaking. After reaching the front page of HN, we thought about how we could take this a step further based on feedback we were getting from the community. Many companies were…
2024 · educationbot.cerebrium.ai
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Hey HN, We built ClawdTalk to let AI agents operate over live phone calls. Most agents today live in chat windows. The moment you try to use them over voice, things break: latency matters, interruptions happen, and the agent has to execute tools while the conversation is still live. ClawdTalk connects your Clawdbot to the phone network. The agent gets a real phone number. It can make and receive calls and run the same tools it uses in chat, but under real-time voice constraints. One of the reasons this is hard is infrastructure. Many voice stacks stitch together separate telephony, speech,…
Feb 2026 · clawdtalk.com
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VoiceAI builders can replay production calls (or) create voice test data set and replay those calls to your VoiceAI. With this(https://app.shortloop.dev/) you can now test end to end flows frequently and in an automated way. We have been tinkering with LLMs and building voice applications for the past few months. As we were trying to improve our voice bots performance (interruptions, latency of tts, llm etc) it became very tedious to test our bot over and over again speaking to it. With real users we would observe edge cases that we didn’t handle before. After making changes…
2024 · app.shortloop.dev
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Hi HN - we’ve been working on a new UX for building realtime voice agents with minimal code. We’ve built a ton of voice agents in the past few years. We noticed that voice agent dev follows a pretty typical pattern: ⁃ Start with a “single prompt” version that dumps all relevant context and instructions into a one prompt, and provide access to all necessary tools the agent will ever need ⁃ As the agent gets more complex and users discover more edge cases, break the single-prompt version out into a more complex structure that gives a user more control over the precise conversational flow.…
2025
- 24TI
Hey HN! I’m Andrew, and I built Code Coach with my good friends, Akshay and Chetan. Code Coach is an AI-powered interview coach that you talk to. It plugs right into Leetcode and turns any problem into a mock interview – it grills you the same way a real interviewer would and provides in-depth feedback on where you can improve. I built Code Coach to solve some of my own problems when practicing for technical interviews. I knew I had to practice communicating my reasoning while coding, but found it intimidating to schedule mock interviews with friends. More often than not, I ended up talking…
2024 · trycodecoach.com
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