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CUDA, Shmuda: Fold Proteins on a MacBook

Details

External ID
45949715
Source
HN
Company
—
Product
CUDA, Shmuda: Fold Proteins on a MacBook
Website domain
latentspacecraft.com
Launched
Nov. 17, 2025
Cohort
—
Upvotes
11
Upvotes percentile
0.5447598253275109
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Alphafold3 used to be fodder for HPC clusters; now I've got a port running smoothly on Apple Silicon. If you have an M-series Mac (~2023-present), you can generate protein structures from sequences in minutes. Give it a try!GitHub repo: https://github.com/latent-spacecraft/openfold-3-mlx

Enrichment

Theme
macOS utilities and system tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
protein folding on macos
Manually corrected
False

Could you build this?

No Porting complex molecular biology deep learning architectures like AlphaFold 3 to Apple MLX requires deep knowledge of structural bioinformatics, tensor math, and low-level GPU kernel optimization.

What it would actually take: This project entails rewriting AlphaFold 3 / OpenFold architectures from PyTorch/CUDA into Apple's MLX framework. The hard parts include reimplementing complex Evoformer and diffusion modules, writing custom Metal Performance Shaders (MPS) kernels for pair representations and invariant point attention, and managing unified memory allocations to fit multi-chain molecular models into Mac RAM.

Discussion

3 comments analyzed.

Competitors mentioned: OpenFold

Concerns raised: RAM limitations restricting protein size to <1500 residues, MSA and template handling complexity

Feature requests: Support for very large proteins/complexes using Mac VRAM

Competitors

Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.

Attention rank: #19 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 4 days after the earliest competitor.

Other launches for this product

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