Sunil Maurya

Building World’s Largest Voice AI Community 🗣️ 18K+ builders | Live sessions, AMAs & offline events | Connecting builders with founders in conversational AI

[Sunil Maurya @sunilmaurya_25]

@vr000m @bot Crazy

[Tushar | Vaani AI Research @dstartupkid]

Tomorrow at 2 PM IST, I’m putting myself in front of the public for 24 hours.

I’ll be live on r/VoiceAutomationAI for an open AMA.

So bring me your hardest question. I’ll take the ones on product, pricing, pilots, Indic and code-mixed voice, and building a voice AI company in India.

For someone who’s new here:
Vaani is a Bengaluru deeptech startup building voice agent infrastructure from the ground up: speech models, orchestration, and an agent platform for Indian languages and code-mixed speech. Our goal is to be the "Stripe for Voice AI."

Post it on r/VoiceAutomationAI. Link in the comments 👇

If you know a founder or product lead building in voice AI, share this with them.

Looking forward to dig in together.
@sunilmaurya_25

[Sunil Maurya @sunilmaurya_25]

India’s Voice AI ecosystem is growing fast. 🇮🇳🎙️

Here are the most active Voice AI investors in India, ranked by the number of companies in their portfolios.

Who’s backing the next wave of Voice AI innovation?

#UNIOCOMMUNITY

[Sunil Maurya @sunilmaurya_25]

@sid_sst Absolutely 💯

[Sunil Maurya @sunilmaurya_25]

I’m in Bangalore this whole week.

No plan, no contacts, just here for our events.

First time stepping out of my comfort zone like this. I don’t know a single street here, not one person.

But that’s exactly the point.

Building a startup is not a solo sport. Every conversation this week is going to teach me something I can’t learn from behind a screen.

This is what community offline looks like. Not just WhatsApp groups and Zoom calls, but actual people, actual rooms, actual handshakes.

If you are in Bangalore this week, I want to meet you. Doesn’t matter what stage you are at, what you are building, or what you need help with.

DM me. Let’s meet in person.

PS: I am building Unio - The Voice AI Community , it’s a WhatsApp group, invite only. Want to get added? DM me.

[Sunil Maurya @sunilmaurya_25]

@RealSoohyunBae Can we connect for quick chat, love to see what are you building in voice ai

[Sunil Maurya @sunilmaurya_25]

@ahe23 @hume_ai Interesting insight. So, are you saying that our current approach positioning ourselves as building voice AI agents for customer support is incorrect, or that we should incorporate this point into our pitch?

[Sunil Maurya @sunilmaurya_25]

@iamtemigold join using this link https://t.co/Dkx3HdN74g

[Sunil Maurya @sunilmaurya_25]

Why are 8,000+ builders joining this voice AI community?

I run India’s largest voice AI community, with 8,000+ founders, developers, product teams, and enterprise professionals. In our WhatsApp groups, members share insights, discuss real challenges, and help each other solve problems.

If you’re building in voice AI and want to connect with like-minded peers, this is the community to join.

Comment below, and I’ll share the link.

[Sunil Maurya @sunilmaurya_25]

@Rose_M_Leo can you share some difference from others voice agents platform?

[Siddharth @Pseudo_Sid26]

Applied AI engineer's Night working at multiple projects for his company -

> Added Langfuse for observability and tracing of the voice agent pipeline. This tool never fails to amaze me.

> Langfuse actually captured all the voice agent logs - per turn - that too real time - and that too in a nested concatenation ( made user_id the trace_id to pull this off). Absolute gold !!

> Changed a deployment with some changes in db as well. Did some additions in fly to sustain the new backend.

> Had a meet with design engineer and literally pulled off a random hour long discord session with my CTO on sunday night ( yesterday ) to discuss about potential new methods for long running agents.

> Made some registries in the micro-kernel inspired architecture for memory integration and made ports and guards for agents to be able to access the memory tools ( hexagonal arch )

> Was watching portugal vs spain on the other screen with friends only to see my goat cry at the end :\

[Sunil Maurya @sunilmaurya_25]

@Pseudo_Sid26 Insightful! Today I learned about Langfuse. Please share more topics like this about voice agents for non-technical people like me 😅

[Sunil Maurya @sunilmaurya_25]

@hirschibar @spacexai Didn’t use X voice agents but need to know three things which is different from another voice agents platform!!

[Sunil Maurya @sunilmaurya_25]

@DanKornas Crazy

[Sunil Maurya @sunilmaurya_25]

@getbluejay_ai I think many voice AI founders are hesitant to use speech-to-speech models because they are unsure how to evaluate them. Is there any way to figure out how to do this?

[Sunil Maurya @sunilmaurya_25]

Voice AI moves insanely fast, but most projects still die quietly.

Not because the tech sucks…
Because there’s no real community around it.

The teams winning right now aren’t just shipping better voices or agents they’re building communities that give them constant feedback, early adopters, contributors, and organic distribution.

I’ve been deep in community building specifically for the Voice AI space and I genuinely love sharing what’s actually working (and what’s a complete waste of time).

Ask me anything about community building in Voice AI.

Drop your questions below, whether it’s about onboarding voice users, turning lurkers into power users, running AMAs that don’t flop, or building community before you even have a product.

I’ll answer as many as I can 👇

#VoiceAI #AIBuilders #CommunityBuilding

[Ryan Hart @thisdudelikesAI]

Pipecat is the next step after “chatbot with a microphone.”

Most people still build voice agents like this:

Record audio.
Send it to speech-to-text.
Pass text to an LLM.
Send the answer to text-to-speech.
Glue it together.
Pray the latency feels human.

This repo shows the next step:

You stop treating voice as an add-on.

You build the whole real-time conversation pipeline.

Pipecat is an open-source Python framework for building voice and multimodal AI agents. It helps orchestrate audio, video, AI services, transports, and conversation logic in one pipeline. ([GitHub][1])

Inside:

→ Real-time voice agents
→ Multimodal agents
→ Audio and video pipelines
→ Streaming conversation handling
→ WebSocket and WebRTC transports
→ Pluggable STT, LLM, and TTS services
→ Composable pipeline components
→ Low-latency interaction
→ Client SDKs for web and mobile
→ Examples for assistants, support bots, companions, and guided flows

The wild part is the shift in thinking.

A voice agent is not just a chatbot that speaks.

It needs turn-taking.
Interruptions.
Streaming.
Transport.
Latency control.
Audio handling.
Conversation state.
Tool calls.
Fallbacks.
Human-like timing.

That is why most voice demos feel impressive for 30 seconds and then break the moment a real person talks over them.

Pipecat gives builders the framework layer underneath the voice agent.

This is what voice AI looks like when it stops being a demo script and starts becoming real-time software.

https://t.co/g6pqiF44d3](https://t.co/g6pqiF44d3

[Sunil Maurya @sunilmaurya_25]

@SIDDHAN86530899 have you used gemini speech to speech model

[Sunil Maurya @sunilmaurya_25]

@RealSoohyunBae Interesting, let me know more about OnePin

[Sunil Maurya @sunilmaurya_25]

@prdeepakbabu @aiDotEngineer Interesting, even i asked with many founder there mains consern is about evaluation. btw Gemini Speech to speech model output is good