orukeet
Orukeet: multilingual ASR with fitted, frozen Gabor kernels and native inference
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GITHUB · launched Sep 9, 2026 · 40 upvotes (top 21%) · 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
- Hobby / open-source project
- automatic-speech-recognition
- gabor
- gguf
- multilingual
- parakeet
- speech-to-text
Visit website ↗ Source listing ↗
More like this: all 143 launches in speech and voice ai models →
Could you build this?
No Orukeet is a research-grade automatic speech recognition (ASR) model implementing fitted, frozen Gabor kernels inside FastConformer/NeMo architectures across 25 languages.
What it would actually take: Requires deep speech ML research expertise, PyTorch/NeMo internals, signal processing (Gabor wavelets), and massive multilingual speech datasets (thousands of hours of audio). Quantizing and building native C++ inference runtimes (sherpa-onnx, transcribe.cpp) requires low-level systems and tensor compiler knowledge.
Competitors
Other products that read as similar to this one : 2112 launches clear the similarity bar, closest 8 shown.
Attention rank: #459 of 2113 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 314 days after the earliest competitor.
- specspeech · github · 2026-10-18 · 23 upvotes · similarity 0.66
- dai-asr-i18n · github · 2026-09-30 · 19 upvotes · similarity 0.65
- MultiLangBench · github · 2026-10-19 · 32 upvotes · similarity 0.61
- open_rknpu2_lm_infer · github · 2026-10-14 · 13 upvotes · similarity 0.61
- Open-source AMDGCN kernels for optimizing LLM inference · hn · 2026-08-25 · 5 upvotes · similarity 0.61
- rec · github · 2026-10-21 · 204 upvotes · similarity 0.60
- maya2-native · github · 2026-10-26 · 19 upvotes · similarity 0.59
- ASpec · github · 2026-11-05 · 48 upvotes · similarity 0.59
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.