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17,045 products · 82,562 snapshots
Vaani Developer Platform

Vaani Developer Platform

Strong signal

The only voice AI harness that you'll ever need

Launched 13d ago
Signal
76
Velocity
1

What this means

39.8×Growing 39.8× faster than the typical AI Agents launch.
Compared to 103 AI Agents launches at the same age.
Decaying
Vote pace down to 5% of launch speed.
+59%Launching in a 59% WoW growing category.
Audio had 27 launches this week vs 17 last.
60%Strong buyer-intent signal in the discussion.
60% of commenters sound like potential buyers — mostly developers.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — developers engaged.
Users are asking for multiple accents + better language switching.
Feature requests surfaced from the comment thread.
Recurring concerns: limited accent options, cost concerns.
Pain points raised more than once by different people.

Prediction

Top-5 finish probability
26%
today
Projected end-of-day votes
372range 279–502
Trajectory
decaying
Vote pace down to 5% of launch speed.
Speed vs peers
39.8×
103 AI Agents launches

About

Build a voice agent that sounds and behaves human without writing a single line of code. Design the call flow, handle objections and edge cases, connect your tools and knowledge base, and go live on a real phone number. Every call ends with clean, structured data.

AI Summary

Vaani Developer Platform enables users to create human-like voice agents without coding, allowing for customizable call flows and integration with existing tools. The platform captures structured data from each call for analysis and optimization.

Attention & discussion velocity

Performance

Velocity1
Vote pace vs average
Momentum1
Sustained over 6h
Virality9
Spread × engagement
Engagement56
Discussion per unit of attention

Signal sources

3 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Mohammad Palla
Mohammad Palla
@mohammad_palla2
rep 67
Rohan Chaubey
@rohanrecommends · hunter

Topics

Artificial IntelligenceTechAudio

Comment Intelligence· 23 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
developers
Sentiment over 13 days
Positive
Negative
Buyer intent
+20%
Overall vibe

Overall, the comments reflect strong interest and positive feedback, with requests for more features and clarifications.

Top themes
  • language support
  • ease of use
  • integration capabilities
  • voice quality
  • data handling
Feature requests
  • multiple accents
  • better language switching
  • IVR handling
  • integration with LangGraph
  • detailed use cases
Complaints
  • limited accent options
  • cost concerns
  • handling interruptions
  • IVR interactions
  • language switching

Top comments

[REDACTED]
↑ 22

I’m Chandra from Vaani, a small voice AI team in Bengaluru. Voice AI started with great models and only later got applications, so putting an agent on a real phone line still means stitching together speech, an LLM, telephony, tools and retries. We built an internal tool to configure agents without all that glue. Founders, PMs and developers who saw it kept asking for access, so today we’re opening it up. What you can do, no code: Design the call flow, including how the agent handles objections, interruptions and edge cases Give it actions: hold, schedule a callback, hand off to another agent or a human Connect a knowledge base so it answers from your docs mid-call Pick a number and go live After every call, get structured data: extracted fields and a disposition, so you don’t have to read transcripts to know what happened It also orchestrates multiple models and switches to a backup if one fails mid-call, so one bad response doesn’t wreck the conversation. We started with languages where data is scarce, which is why “sounds local” matters so much to us. It’s built to work for your customers wherever they are. What’s the first voice agent you’d build, and what would you expect to break it? We’ll be in the comments all day. Try out the platform first-hand at https://platform.vaani.dev/ Grab 1000 free credits by using the code PHL1000X

[REDACTED]
↑ 6

Vanni works for the vernacular languages too?

[REDACTED]
↑ 6

How well do you guys handle people switching between hindi, english and regional languages mid-convo, like we naturally do in India?

[REDACTED]
↑ 6

we already run our reasoning in a langgraph pipeline. can vaani handle just the voice and telephony around it?

Sentiment computed via openrouter