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Yolov11n by C on Raspberry Pi 5

Details

External ID
49673081
Source
HN
Company
—
Product
Yolov11n by C on Raspberry Pi 5
Website domain
github.com
Launched
Sept. 12, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.32854864433811803
Tags
—
Fetched at
Sept. 16, 2026, 5:01 p.m.
Updated at
Sept. 16, 2026, 5:01 p.m.

Enrichment

Theme
security exploits and system hacking tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
c-based object detection runtime for raspberry pi
Manually corrected
False

Could you build this?

No Implementing a deep neural network inference engine directly in pure C on ARM hardware requires specialized knowledge of neural network architectures and low-level hardware optimizations.

What it would actually take: The project requires writing custom C tensor operations (convolutions, depthwise separable convolutions, SiLU activations, and detection heads) without standard runtimes like ONNX or PyTorch. It requires manual memory management and low-level SIMD optimization using ARM NEON intrinsics on the Raspberry Pi 5 to achieve real-time performance. Deep domain expertise in computer vision mathematics, computer architecture, and cache-conscious GEMM operations is required.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 54 launches clear the similarity bar, closest 8 shown.

Attention rank: #35 of 55 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 290 days after the earliest competitor.

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