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who-ate-my-flops

A small plugin for Claude Code and Codex to optimize PyTorch workloads.

This is 1 of 200 launches in gpu optimization and hardware tooling — see how it stacks up on momentum and crowding →

1720 other launches read as similar to this one →

Details

External ID
1391382816
Source
GITHUB
Company
—
Product
who-ate-my-flops
Website domain
github.io
Launched
Sept. 27, 2026
Cohort
—
Upvotes
32
Upvotes percentile
0.737587370450711
Tags
claude-code, codex, performance-optimization, profiling, pytorch
Fetched at
Oct. 1, 2026, 5:02 p.m.
Updated at
Oct. 1, 2026, 5:02 p.m.

Enrichment

Theme
gpu optimization and hardware tooling
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
ai coding assistant plugin for optimizing pytorch workloads
Manually corrected
False

Could you build this?

No Building an automated end-to-end AI workload performance profiling and optimization agent requires cutting-edge research in distributed PyTorch systems, GPU memory management, and CUDA kernel profiling.

What it would actually take: Developing this system requires deep instrumentation of PyTorch internals, CUDA profilers (NCU/NSYS), memory allocators, and overlapping communication/computation streams. The backend requires a sophisticated agentic reasoning loop with deterministic benchmarking harnesses, AST transformation tools for PyTorch graph/code rewriting, and correctness verification across distributed GPUs. It demands elite systems engineering expertise in deep learning compilers, GPU architecture, and distributed training dynamics.

Competitors

Other products that read as similar to this one — 1720 launches clear the similarity bar, closest 8 shown.

Attention rank: #437 of 1721 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 331 days after the earliest competitor.

Other launches for this product

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