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gpu-cron

Tiny MLX-trained schedule model with a dependency-free WebGPU runtime

Details

External ID
1367202000
Source
GITHUB
Company
—
Product
gpu-cron
Website domain
vercel.app
Launched
Sept. 12, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.3866256725595696
Tags
—
Fetched at
Sept. 16, 2026, 5:02 p.m.
Updated at
Sept. 16, 2026, 5:02 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
tiny scheduling model running directly on webgpu
Manually corrected
False

Could you build this?

Partial While the WebGPU inference interface is straightforward, creating and training a custom 35k parameter neural model with MLX and writing a raw, dependency-free WebGPU tensor engine requires non-trivial machine learning engineering.

What it would actually take: Requires creating a synthetic/curated natural language-to-schedule dataset, designing and training a lightweight recurrent or transformer architecture using Apple's MLX framework, quantizing weights to 6-bit, and authoring custom WGSL (WebGPU Shading Language) compute shaders to execute matrix multiplications and activations entirely client-side without third-party runtimes like ONNX.

Competitors

Other products that read as similar to this one — 1277 launches clear the similarity bar, closest 8 shown.

Attention rank: #742 of 1278 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 318 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.