From building a voice AI widget to mapping the entire Voice AI ecosystem (Introducing echostack)

#ai #voiceai #indiehackers #webdev

Hey everyone,

I’m Solomon — the creator of GetEchoSpace, a voice AI widget that lets any website host real-time audio conversations for support, live shopping, or community.

While building it, I constantly had to combine tools for ASR, text-to-speech, and LLMs — juggling APIs from different vendors and testing pipelines just to get a working flow.

At some point, it hit me:

Everyone building in voice AI is reinventing the same workflows from scratch.

The Problem

There are incredible voice AI tools out there — from OpenAI’s speech APIs to ElevenLabs, Whisper, Speechmatics, and more.
But there’s no central place to discover, compare, and see how they connect in real-world setups.

Builders like me spend hours figuring out:

which ASR integrates best with Twilio,
how to pass data between TTS and LLMs,
and how to deploy these flows in production.

Enter echostack

So I started building echostack — a public directory of voice AI tools and ready-made “stacks.”

Think of it as Zapier templates or Stack Overflow for voice AI workflows.
Each stack shows how to combine tools (e.g., Retell + OpenAI + Twilio + GCP ASR) to achieve real outcomes — like multilingual dubbing, customer triage bots, or AI-powered voice assistants.

The goal:

help developers and AI builders spend less time wiring tools, and more time shipping value.

Tech Behind the MVP

The MVP is built with:

Next.js 15 (App Router)
TypeScript + Tailwind
Supabase (for data)
Zapier & n8n export support planned for v0.2

What’s Live Now

You can explore:

Featured voice AI tools
Early “stacks” (like multilingual dubbing or real-time triage bots)
Newsletter signup for updates as new stacks drop

https://getechostack.com

I’d love your feedback

If you’re building with Voice-AI or integrating ASR/TTS/LLM tools, I’d love to hear:

What workflows or “stacks” you’d want to see next
Which tools are must-haves for you
Whether you prefer no-code or code-level examples

What’s Next?

Expand to more tools and stacks
Add semantic search and tagging
Support Zapier/n8n exports
Launch the curated Voice-AI Stacks Newsletter

If that sounds interesting, you can check it out or share feedback directly on echostack.

Top comments (5)

Ayoola Solomon • Oct 13 '25

I’ll be sharing more posts breaking down the EchoStack architecture and stack management system — if you’re building in Voice-AI or automation, drop your thoughts below!