gpu-cron
Tiny MLX-trained schedule model with a dependency-free WebGPU runtime
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GITHUB · launched Sep 12, 2026 · 12 upvotes (top 63%) · 0 views
Niche: machine learning inference engines · 108 launches, 8 in the last 7 days ▼ -27% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 108 launches in machine learning inference engines →
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 : 3191 launches clear the similarity bar, closest 8 shown.
Attention rank: #1972 of 3192 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 318 days after the earliest competitor.
- GPUWorks · hn · 2026-11-04 · 30 upvotes · similarity 0.62
- Gpubook · hn · 2026-05-19 · 7 upvotes · similarity 0.62
- runntime · github · 2026-09-14 · 43 upvotes · similarity 0.61
- nCompass - Optimize performance on GPUs, 10x faster · yc · 2026-03-02 · 19 upvotes · similarity 0.61
- guesthouse · github · 2026-11-05 · 38 upvotes · similarity 0.60
- rune · github · 2026-10-22 · 78 upvotes · similarity 0.60
- RUDA · github · 2026-09-09 · 14 upvotes · similarity 0.60
- latch · github · 2026-10-25 · 14 upvotes · similarity 0.60
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