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keys-Mac-TensorFold-MiniMax-H3-MLX

MiniMax H3 (video + audio) on TensorFold 0.6.5 with an H3 family, Mac Studio M5 Ultra: 5 s 864x480 clip in ~50 s, 40 s at 768x448 — the fastest H3 we have measured on Apple Silicon; int8 tensor-unit kernels + Turbo adapter; one-shot + GHCR carrier

This is 1 of 65 launches in MiniMax and ComfyUI video tooling — see how it stacks up on momentum and crowding →

114 other launches read as similar to this one →

Details

External ID
1404445223
Source
GITHUB
Company
—
Product
keys-Mac-TensorFold-MiniMax-H3-MLX
Website domain
github.com
Launched
Oct. 4, 2026
Cohort
—
Upvotes
20
Upvotes percentile
0.4691160809371672
Tags
—
Fetched at
Oct. 5, 2026, 1:02 a.m.
Updated at
Oct. 5, 2026, 1:02 a.m.

Enrichment

Theme
MiniMax and ComfyUI video tooling
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
optimized minimax h3 inference for apple silicon
Manually corrected
False

Could you build this?

No Writing custom low-level int8 Apple Silicon tensor-unit kernels and optimizing high-performance video generation models in MLX requires expert-level hardware-specific GPU/NPU kernel engineering.

What it would actually take: Requires writing customized Apple Metal Shading Language (MSL) compute kernels optimized for Apple Silicon unified memory and AMX/NEON SIMD execution units, along with custom MLX pipeline scheduling for multimodal diffusion transformers. This requires deep expertise in machine learning systems, low-level Apple hardware architecture, and quantization kernels.

Competitors

Other products that read as similar to this one — 114 launches clear the similarity bar, closest 8 shown.

Attention rank: #61 of 115 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 337 days after the earliest competitor.

Other launches for this product

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