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ElevenLabsProduct Hunt

ElevenLabs Realtime launches on Product Hunt: Realtime voice agent models with 570ms to first audio

What happened

ElevenLabs Realtime launches low-latency speech-to-speech models (570–620ms to first audio) for building natural, multilingual voice agents, enabling faster real-time conversational experiences for product teams and contact centers.

Source

Product HuntOct 23, 2026

Realtime voice agent models with 570ms to first audio

ElevenLabs Realtime

upvotes
183
comments
3

Product description

Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for voice agents. Speech recognition, turn-taking, the LLM and the voice are tuned end-to-end. v1 Mini is built for natural conversation, v1 Max for complex tasks, with 620ms and 570ms to first audio. It supports 90+ languages and works in ElevenAgents or through an OpenAI-compatible Realtime API, so you only change the endpoint and model name.

producthunt.com/products/realtime-max-miniRead the full source

Extracted by Autobound

From the Signal API record
Signal
Product Hunt
Topic
Developer Tools
Website
https://elevenlabs.io/realtime

The full record

From the Signal API record

Details

B2B
Yes
AI product
Yes
Revenue range low
10,000,000
Revenue range high
25,000,000

Topics and mentions

Tags

  • ai-product
  • b2b
  • startup
  • high-performer

Topics

  • AI
  • Speech-to-Speech
  • Realtime API
  • Voice Agents
  • Multilingual

Use cases

  • Real-time conversational voice agents for customer support and virtual assistants
  • Multilingual voice interfaces and live interpretation
  • Low-latency voice bots for IVR, contact centers, and interactive products
  • Embedding voice interactions into apps via an OpenAI-compatible Realtime API

Pain points

  • High latency in real-time voice interactions
  • Complex integration across ASR, LLM, and TTS components
  • Poor turn-taking and conversational naturalness
  • Limited multilingual support for global deployments

Extraction

Confidence
High
Relevance
85%
Sentiment
Positive
Detected
Oct 23, 2026
signal_type
producthunt-launch
signal_subtype
companyProductHuntLaunch

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The API returns more than this page shows

This page shows a preview. The full producthunt-launch record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/ph-1286735 returns this record as JSON. POST /v1/companies/enrich returns every signal for elevenlabs.io.

{
  "signal_id": "ph-1286735",
  "signal_type": "producthunt-launch",
  "signal_subtype": "companyProductHuntLaunch",
  "detected_at": "2026-10-23T07:01:00+00:00",
  "company": {
    "name": "ElevenLabs",
    "domain": "elevenlabs.io"
  },
  "data": {
    "slug": "elevenlabs-realtime",
    "tags": [
      "ai-product",
      "b2b",
      "startup",
      "high-performer"
    ],
    "detail": "Positioned as an end-to-end tuned speech pipeline (ASR, turn-taking, LLM, and voice) delivered via ElevenAgents or an OpenAI-compatible Realtime API, ElevenLabs targets developers and companies building interactive voice agents. The competitive angle is low latency, broad language support (90+ languages), and drop-in API compatibility that reduces integration friction and time-to-market compared with stitching separate speech, LLM, and TTS components.",
    "is_b2b": true,
    "topics": [
      "AI",
      "Speech-to-Speech",
      "Realtime API",
      "Voice Agents",
      "Multilingual"
    ],
    "summary": "ElevenLabs Realtime launches low-latency speech-to-speech models (570–620ms to first audio) for building natural, multilingual voice agents, enabling faster real-time conversational experiences for product teams and contact centers.",
    "relevance": 0.85,
    "sentiment": "positive",
    "confidence": "high",
    "created_at": "2026-10-23T07:01:00Z",
    "source_url": "https://www.producthunt.com/products/realtime-max-mini",
    "votes_count": 183,
    "website_url": "https://elevenlabs.io/realtime",
    "product_name": "ElevenLabs Realtime",
    "is_ai_product": true,
    "primary_topic": "Developer Tools",
    "thumbnail_url": "https://ph-files.imgix.net/f46fcf9c-3bc6-4b18-9cdc-ca153764002a.png?auto=format",
    "comments_count": 3,
    "outreach_hooks": [
      "We can cut voice-agent response time to ~570ms - interested in a quick test to see latency improvements on your flows?",
      "If you're stitching ASR, LLM, and TTS separately, ElevenLabs Realtime can replace that stack and reduce integration work - want a demo of the OpenAI-compatible endpoint?",
      "Supporting 90+ languages makes global rollout easier - curious how it would handle your top languages and dialects?"
    ],
    "product_hunt_id": "1286735",
    "product_tagline": "Realtime voice agent models with 570ms to first audio",
    "product_hunt_url": "https://www.producthunt.com/products/realtime-max-mini",
    "revenue_range_low": 10000000,
    "revenue_range_high": 25000000,
    "product_description": "Eleven Realtime is ElevenLabs’ new family of speech-to-speech models for voice agents. Speech recognition, turn-taking, the LLM and the voice are tuned end-to-end. v1 Mini is built for natural conversation, v1 Max for complex tasks, with 620ms and 570ms to first audio. It supports 90+ languages and works in ElevenAgents or through an OpenAI-compatible Realtime API, so you only change the endpoint and model name.",
    "use_cases_extracted": [
      "Real-time conversational voice agents for customer support and virtual assistants",
      "Multilingual voice interfaces and live interpretation",
      "Low-latency voice bots for IVR, contact centers, and interactive products",
      "Embedding voice interactions into apps via an OpenAI-compatible Realtime API"
    ],
    "pain_points_extracted": [
      "High latency in real-time voice interactions",
      "Complex integration across ASR, LLM, and TTS components",
      "Poor turn-taking and conversational naturalness",
      "Limited multilingual support for global deployments"
    ]
  }
}

Long text fields are shortened on this page.

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