Build a voice AI agent in minutes, straight from your terminal. One command scaffolds your project with built-in tunneling, sample backends, and global edge deployment. Connect via webhook, use existing agent logic, pay only for speech (silence is free).
I’m Damien, CEO & co-founder of Layercode. I’ve spent the last 20 years building infrastructure and dev tools (as well as drones and sometimes, electric motorcycles). Most recently, I’ve been obsessed with talking to computers.
Building voice AI agents is tricky, and there’s lots to remember and setup, even when developing locally. So we built Layercode CLI — a command-line interface designed to help you get started with a voice AI agent in minutes.
It’s super easy to get started:
Run `npx @layercode/cli init`
Authenticate with your Layercode account and choose a template
Then, our CLI sets up your tunnel and webhook URLs for local development.
(we’ve tried to make it easy to build and deploy from there, too, more info on where to go next in our full quickstart guide: https://docs.layercode.com/tutor...)
What you get with Layercode CLI:
- Zero to production in minutes: Initialize a voice AI agent with one command, and get real-time speech-to-text (STT), text-to-speech (TTS), turn-taking, and low-latency audio delivery to our global edge network.
- Built-in tunneling: Test locally using our integrated tunnel — no need for copy-pasting your webhook urls into our dashboard.
- Sample agent backend: Backend logic receives conversation transcripts and responds based on your prompt and the tool calls you define. Deployable anywhere.
- Complete backend control: Use any LLM, and control your own agent logic and tools — Layercode handles all of the voice infrastructure.
- Edge-native voice AI deployment: Layercode is deployed to 330+ locations that process audio within ~50ms of users, anywhere in the world.
We’d love feedback from anyone building agents — especially if you’re experimenting with voice.
What feels smooth? What doesn't? What’s missing for your projects?
About Layercode CLI on Product Hunt
“Build voice AI agents with one command”
Layercode CLI launched on Product Hunt on October 10th, 2025 and earned 279 upvotes and 37 comments, earning #3 Product of the Day. Build a voice AI agent in minutes, straight from your terminal. One command scaffolds your project with built-in tunneling, sample backends, and global edge deployment. Connect via webhook, use existing agent logic, pay only for speech (silence is free).
On the analytics side, Layercode CLI competes within Developer Tools, Artificial Intelligence and Audio — topics that collectively have 979.2k followers on Product Hunt. The dashboard above tracks how Layercode CLI performed against the three products that launched closest to it on the same day.
Who hunted Layercode CLI?
Layercode CLI was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
fmerian
Hey Product Hunt 👋
I’m Damien, CEO & co-founder of Layercode. I’ve spent the last 20 years building infrastructure and dev tools (as well as drones and sometimes, electric motorcycles). Most recently, I’ve been obsessed with talking to computers.
Building voice AI agents is tricky, and there’s lots to remember and setup, even when developing locally. So we built Layercode CLI — a command-line interface designed to help you get started with a voice AI agent in minutes.
It’s super easy to get started:
Run `npx @layercode/cli init`
Authenticate with your Layercode account and choose a template
Then, our CLI sets up your tunnel and webhook URLs for local development.
(we’ve tried to make it easy to build and deploy from there, too, more info on where to go next in our full quickstart guide: https://docs.layercode.com/tutor...)
What you get with Layercode CLI:
- Zero to production in minutes: Initialize a voice AI agent with one command, and get real-time speech-to-text (STT), text-to-speech (TTS), turn-taking, and low-latency audio delivery to our global edge network.
- Built-in tunneling: Test locally using our integrated tunnel — no need for copy-pasting your webhook urls into our dashboard.
- Sample agent backend: Backend logic receives conversation transcripts and responds based on your prompt and the tool calls you define. Deployable anywhere.
- Complete backend control: Use any LLM, and control your own agent logic and tools — Layercode handles all of the voice infrastructure.
- Edge-native voice AI deployment: Layercode is deployed to 330+ locations that process audio within ~50ms of users, anywhere in the world.
We’d love feedback from anyone building agents — especially if you’re experimenting with voice.
What feels smooth? What doesn't? What’s missing for your projects?