Haru
Haru: a low-latency, multilingual, full-duplex spoken dialogue model
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GITHUB · launched Nov 12, 2026 · 283 upvotes (top 10%) · 0 views
Niche: speech and voice ai models · 143 launches, 7 in the last 7 days ▼ -36% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- AI-native
Visit website ↗ Source listing ↗
More like this: all 143 launches in speech and voice ai models →
Could you build this?
No Haru is a trained 4B-parameter full-duplex speech-to-speech foundation model. Reproducing it requires novel speech-model research, large audio datasets and substantial GPU training compute, none of which vibe coding provides.
What it would actually take: A real version means training a speech-language model with a continuous audio latent, a MeanFlow-style audio head and a full-duplex frame-interleaved architecture. It needs large multilingual speech corpora, ML research expertise in audio generation and streaming inference, and a multi-GPU training budget. Serving it in real time adds low-latency inference engineering.
Competitors
Other products that read as similar to this one : 1633 launches clear the similarity bar, closest 8 shown.
Attention rank: #176 of 1634 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 378 days after the earliest competitor.
- FastDialogueSidon · github · 2026-10-26 · 15 upvotes · similarity 0.71
- SpeakerMemR1 · github · 2026-09-20 · 70 upvotes · similarity 0.67
- KugelAudio: A multilingual voice AI model you can run in your own cluster. · yc · 2026-05-27 · 8 upvotes · similarity 0.66
- caramel · github · 2026-11-10 · 28 upvotes · similarity 0.66
- Samora: Multilingual and Production Grade Voice Agents · yc · 2026-03-03 · 56 upvotes · similarity 0.66
- OmniVChat · github · 2026-09-18 · 34 upvotes · similarity 0.65
- Speko: OpenRouter for Voice · yc · 2026-07-29 · 14 upvotes · similarity 0.64
- voxweave · github · 2026-09-09 · 32 upvotes · similarity 0.63
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.