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Lightning V3

Text-to-Speech built for Voice Agents

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Introducing Lightning V3 — Smallest AI's most advanced text-to-speech model. With 100ms latency, a 3.89 WVMOS score, and support for English, Hindi, Spanish, Tamil and 15+ languages, V3 was preferred over OpenAI's GPT-4o-mini-TTS by listeners 76.2% of the time. Get audio output in 44.1 kHz and powers voice assistants, IVR systems, content creation and conversational AI with human-like speech. Instant voice cloning from just 10 seconds of audio. Real-time. Expressive. Enterprise-ready.

PH · launched Apr 2, 2026 · 321 upvotes (top 32%) · 1 view

Niche: speech and voice ai models · 143 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Languages
  • Artificial Intelligence
  • Audio

Visit website ↗ Source listing ↗

Could you build this?

No Lightning V3 is a custom low-latency (100ms) neural text-to-speech foundation model with multilingual support and studio audio synthesis.

What it would actually take: Requires proprietary audio datasets, advanced deep learning speech synthesis architectures (e.g. flow-matching, neural audio codecs, diffusion/autoregressive TTS), and custom GPU inference engines (TensorRT-LLM/CUDA kernels) to achieve 100ms streaming latency.

Competitors

Other products that read as similar to this one : 574 launches clear the similarity bar, closest 8 shown.

Attention rank: #214 of 575 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 147 days after the earliest competitor.

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