kapitsa
Blazing fast Apple Silicon optimized inference engine built for Qwen and Nemotron. OpenAI + Anthropic API compatible. Built by folks from nace.ai
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GITHUB · launched Oct 16, 2026 · 155 upvotes (top 8%) · 0 views
Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 133 launches in llm inference engines →
Could you build this?
No A high-performance Apple silicon inference engine for Qwen and Nemotron depends on custom Metal kernels and model-level optimization that vibe coding cannot produce.
What it would actually take: It would need a Metal or MLX-based runtime with hand-written kernels for attention, KV-cache management, and quantized matmul, plus an OpenAI- and Anthropic-compatible server layer. Matching the claimed speed requires GPU performance engineering and deep knowledge of the specific model architectures. Specialized ML systems engineers and extensive benchmarking are the required resources.
Competitors
Other products that read as similar to this one : 3346 launches clear the similarity bar, closest 8 shown.
Attention rank: #290 of 3347 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 352 days after the earliest competitor.
- splash · github · 2026-09-18 · 610 upvotes · similarity 0.71
- my-little-trie-forge · github · 2026-10-02 · 11 upvotes · similarity 0.70
- coachwhip · github · 2026-10-01 · 28 upvotes · similarity 0.64
- IronMule · ph · 2026-09-17 · 1 upvotes · similarity 0.63
- kindi · github · 2026-10-20 · 40 upvotes · similarity 0.62
- OpenRelay: The Inference Delivery Network · yc · 2026-08-07 · 13 upvotes · similarity 0.61
- SplashMonitor · github · 2026-09-20 · 16 upvotes · similarity 0.60
- laya-apple · github · 2026-09-22 · 12 upvotes · similarity 0.58
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.