... localization engine (YC F24) launched on Product Hunt last February and crushed it: #2 Product of the Day, #1 Developer Tool of the Week, #1 Developer Tool of the Month. @Appwrite - Launched Sites , the "open-source Vercel alternative," last May, ranked #1 Product of the Day, #1 Developer Tool of the Week, and #1 Developer Tool of the Month. The perfect Product Hunt launch? @Kilo Code - The open-source AI coding agent founded by GitLab co-founder @sytses blasted ... ... this year: Two launches on Product Hunt, ranked respectfully #5 Product of the Day and #1 Product of the Day, hit 500K+ downloads on VS

... Cartesia's Sonic-3 is now available on Layercode. Released last week, Sonic-3 is the fastest and most expressive production-ready TTS model: Incredible low-latency: 90ms model latency, 190ms end-to-end makes Sonic-3 ideal for real-time voice AI agents and one of the fastest TTS models available. Natural emotion and expressiveness: Sonic-3 handles laughter, excitement, and empathy. You can use SSML tags for emotions, for example: <emotion value="excited" />Oh wow, Valentine ... ... make it special. Intelligent text handling: Sonic-3 understands text like a human, reading acronyms, homophones, abbreviations, numbers, dates, and addresses correctly based on context. Multilingual: Supports 42+ languages with native pronunciation. Full language support coming soon to Layercode

... excited to announce a major upgrade to Layercode: support for Deepgram Flux: the world's first transcription system built specifically for voice agents. What is Deepgram Flux? Traditional speech-to-text models are built for pure transcription, but voice agents need to understand the flow of conversation, not just capture words. To solve this, Deepgram built the world s first production-ready Conversational Speech Recognition (CSR) model. Deepgram's new Flux model targets one of the biggest pain points ... ... with context-aware turn handling Nova-3 level transcription accuracy while adding real-time conversational intelligence Native barge-in support for fluid, natural exchanges Dramatically reduced end-to-end latency that makes conversations feel snappier and more human How Layercode

... voice agents is hard because they are non-deterministic. These challenges scale non-linearly with real usage. Most teams don t want to build, maintain and manage their own voice infrastructure. We're making choices about how we build @Layercode accordingly, and want to hear from more builders in the voice AI space. If you're building in voice AI: If you could wave a magic wand, what would you change about building voice AI today? Comment from Aidan Hornsby ... ... joeschwendt  nice! Awesome to hear that. The recent updates to theOpenAI's realtime model especially are quite impressive. I would love to learn more about what you've been building! Can you drop me an email aidan at layercode.com

... quality and rich emotion, matching the leaders on quality (and often beating them on speed), the main competitive frontier is infrastructure: who can deliver those voices, at scale, with the lowest latency and the least friction? We re building Layercode to eliminate this complexity from the equation: Handling all of the plumbing required to power production-ready low-latency voice agents (read more about how here). Layercode

... just shipped some big updates to the Layercode private beta: Redesigned Dashboard UI We ve refined the UI design of the dashboard for a more understated look, and made a number of small improvements to panels, controls and labels throughout the interface. Session recordings Recording is now available and enabled by default. Visit any session in an agent and play back the recording, alongside the logs. You can also download a .wav for the recording. Session Recording can be disabled/enabled ... ... settings. Audio quality improvements Solved several client buffering issues and improved interruption handling for all agents powered by Layercode