Alternatives
Products that do what Split-Test Different Voice AI Providers (Playground) does
I'm currently working on a "home for voice AI developers" called Vocalized. Here is a link to the playground where you can split-test different voice AI providers (I'm still working on making it mobile-responsive so try it on desktop!). I want the playground to be an complete documentation of every offering that exists in the space (whether relevant or not) so each can be compared. The intent for the site is to be a lightweight site you can bookmark & come back to to poke around if interested. The site also has a company directory that I'm working on. I wanted to offload my browser bookmarks…
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Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai
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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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Most inference UIs that I've come across pretty much just give us a chat-like interface to toy around with models in a single visual conversation thread. Given the fact that we are limited to seeing only one output at a time, it's kind of hard to compare outputs from different models, adjustments made to the prompting, and sampler settings. But even when keeping the generation parameters the same (e.g., to test for reliability in the output) and just going for multiple passes, there is no easy way to have a side-by-side comparison to keep track of the outputs from the multiple "rounds". I…
2024 · github.com
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Hi there - Ben from LiveKit here! If you’re curious about OpenAI’s brand-new Realtime API and speech-to-speech model, check out this hosted playground and play with the model yourself. If you’d like to learn more about how this came together, read on. If you’re like me, you’ve probably been wondering what novel things a model like this can do in an API setting with unfettered access to the system prompt and other parameters. I’ve been fortunate to have had early access through my work at LiveKit, where we’ve built open-source developer tooling that makes deploying this model in a production…
2024 · playground.livekit.io
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I’ve been working on an SDK for creating voice AI apps. If you’ve ever wanted to make consumer voice apps, this is for you. There are some neat ideas in here that I’m really proud of: the decorators make everything very readable, and the prompting system is wonderfully dynamic. The basic setup command is: npx create-pocket-app This will create a Next.js app that’s ready to deploy. Check out the live examples on the home page to get a feel for what’s possible, and to see the code!
2025 · pocketcomputer.com
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My cofounder and I were playing with AI voices from different vendors and were shocked at how good the results were. We decided to make a game so you can test your own ability to tell humans from AI voices. This has helped us narrow down which voices we'd like to use for an upcoming project—perhaps you will find it useful and/or interesting too! Would love to hear any feedback you have!
2024 · bot.unison.fm
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Hey HN! Have been working on Audentic, a platform that simplifies adding voice AI to your website. Think of it as a copy-paste voice assistant that you can embed directly into your site. Setting up voice AI has traditionally been a bit of a hassle, often requiring juggling multiple components like speech recognition, text processing, and text-to-speech systems. With Audentic, we've streamlined this into a more straightforward, end-to-end voice model. While OpenAI's Realtime API has made real-time, multimodal AI interactions more feasible, integrating these capabilities into a website can…
2025 · audentic.io
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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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Hey there HN! I believe the future of AI communication will be more voice and less text. Low-latency realistic voice interactions are finally becoming feasible. I've built a few voice-first apps on Retell AI using Elevenlabs voices. This one uses Claude Haiku for responses and Mixtral to switch between posts and comments. The AI knows about the top 30 posts and their comments on Hacker News right now. After a Google sign-in you can try it free for 10 minutes. I'd love to hear your thoughts!
2024 · callhackernews.com
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We just open-sourced Unpod, a full-stack voice AI infrastructure platform. If you've ever tried to build a production voice agent you know the pain: stitching together STT, LLM, TTS, and telephony is messy, expensive, and every vendor owns a piece of your stack. https://github.com/parvbhullar/unpod
Mar 2026 · github.com
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Most men rehearse hard conversations in their head. Asking someone out, navigating tension, recovering when things get awkward. The rehearsal never works because you're just talking to yourself. I built vibeCoach : a voice AI where you actually practice these conversations out loud, and the AI responds like a real woman would. She starts guarded. One-word answers, a little skeptical. If you escalate too fast or try something cheesy, she gets MORE guarded. If you're genuine and read the moment right, she opens up. Just like real life. Under the hood it's a multi-agent system : multiple AI…
Mar 2026
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