OptiQ
Quantize, serve and code with local models on your Mac
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This is 1 of 144 launches in llm inference and deployment tools — see how it stacks up on momentum and crowding →
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Details
- External ID
- 1217038
- Source
- PH
- Company
- —
- Product
- OptiQ
- Website domain
- producthunt.com
- Launched
- Oct. 9, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.93
- Tags
- Developer Tools, Artificial Intelligence
Description
OptiQ is the local-LLM stack for Apple Silicon. It measures each layer's sensitivity and gives sensitive layers more bits, so its mixed-precision quants beat a flat 4-bit quant at the same size. One MLX-native engine runs a CLI and OpenAI/Anthropic-compatible server, a local web workbench (Lab) and a terminal coding agent (Code). On Gemma-4-12B (M3 Max) it decodes 1.7x faster on prose and up to 2.9x on code edits, identical output. 200+ quants on Hugging Face. No PyTorch, no cloud.
Enrichment
- Niche
- llm inference and deployment tools
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- local model quantization and serving tool for mac
- Manually corrected
- False
Could you build this?
No Building a custom Apple Silicon MLX-native engine that performs layer-wise sensitivity quantization (mixed-precision LLM quants) requires specialized ML systems engineering and deep mathematical knowledge of quantization techniques.
What it would actually take: A real version requires deep expertise in ML systems and quantization algorithms (e.g., AWQ, GPTQ, HQQ). The architecture would be built in C++ / Swift / Python targeting Apple's MLX framework and Metal Performance Shaders (MPS) to calculate Hessian/Fisher information matrices per layer for sensitivity metrics. It also requires building an optimized inference runtime, custom Metal kernels, and memory-mapped model streaming for Apple Unified Memory.
Competitors
Other products that read as similar to this one — 56 launches clear the similarity bar, closest 8 shown.
Attention rank: #9 of 57 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 337 days after the earliest competitor.
- IronMule · ph · 2026-09-17 · 1 upvotes · similarity 0.45
- Ollama v0.19 · ph · 2026-04-01 · 412 upvotes · similarity 0.42
- my-little-trie-forge · github · 2026-10-02 · 11 upvotes · similarity 0.40
- Local text, image, video, music and 3D from one CLI, no Python · hn · 2026-07-30 · 16 upvotes · similarity 0.39
- I shrank DeepSeek V4 Flash to 57GB and it wrote a compiler on my Mac · hn · 2026-08-16 · 21 upvotes · similarity 0.37
- PocketWebTools for Mac · ph · 2026-10-10 · 61 upvotes · similarity 0.37
- omarchy-cluster · github · 2026-10-06 · 11 upvotes · similarity 0.36
- qqqa · hn · 2025-11-06 · 165 upvotes · similarity 0.35
Other launches for this product
- No other launches for this product.