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VoiceManager

A low latency streaming STT / STT server to add a voice to your LLM. Also supports batch mode.

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GITHUB · launched Oct 17, 2026 · 25 upvotes (top 48%) · 0 views

Niche: speech processing software · 57 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial A streaming STT server and agent integration can be assembled from open models, but production-grade low-latency streaming with good accuracy needs real speech/ML engineering.

What it would actually take: A real version would likely wrap an open streaming ASR model (e.g., faster-whisper, Vosk, or a Conformer/Zipformer model) behind a WebSocket server with voice activity detection, chunking, and partial-result handling. Hitting low end-to-end latency and reliable accuracy at scale needs speech-model tuning, GPU or CPU optimization, and streaming-systems experience.

Competitors

Other products that read as similar to this one : 359 launches clear the similarity bar, closest 8 shown.

Attention rank: #173 of 360 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 348 days after the earliest competitor.

  • ming-voice · github · 2026-10-21 · 273 upvotes · similarity 0.53
  • RayCodes_sanoTTS · github · 2026-09-10 · 7 upvotes · similarity 0.51
  • microsoft-lync-server · github · 2026-11-10 · 102 upvotes · similarity 0.49
  • speakrail · github · 2026-10-04 · 93 upvotes · similarity 0.49
  • saystack · github · 2026-10-01 · 11 upvotes · similarity 0.49
  • VoiceGoat · hn · 2026-04-28 · 14 upvotes · similarity 0.49
  • Narrate · hn · 2026-04-13 · 5 upvotes · similarity 0.48
  • voicemeeter-auto-config · github · 2026-11-06 · 149 upvotes · similarity 0.48

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.