agentic-cuda-optimizer
A langgraph based workflow with a C++ CUDA harness to optimize CUDA kernels
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GITHUB · launched Sep 24, 2026 · 35 upvotes (top 24%) · 0 views
Niche: gpu infrastructure and developer tools · 129 launches, 7 in the last 7 days ▼ -30% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 129 launches in gpu infrastructure and developer tools →
Could you build this?
Partial The LangGraph agentic loop can be built easily, but writing and benchmarking high-performance C++/CUDA kernels requires access to GPUs, deep CUDA profiling knowledge, and precise hardware execution harnesses.
What it would actually take: The architecture pairs a Python LangGraph multi-agent loop with a C++/CUDA test runner utilizing NVLink/Nsight Compute CLI (NCU) for profiling metrics. The hard part is generating syntactically and semantically correct CUDA memory patterns (shared memory tiling, warp shuffles) and interpreting NCU metrics accurately, requiring deep GPU architecture expertise.
Competitors
Other products that read as similar to this one : 4334 launches clear the similarity bar, closest 8 shown.
Attention rank: #996 of 4335 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 330 days after the earliest competitor.
- Agentic CUDA Kernel Optimizer · hn · 2026-09-25 · 37 upvotes · similarity 0.71
- open-jev-fast · github · 2026-09-27 · 88 upvotes · similarity 0.69
- TIRx-harness · github · 2026-09-29 · 102 upvotes · similarity 0.68
- gr8 · github · 2026-10-10 · 27 upvotes · similarity 0.67
- nCompass - Optimize performance on GPUs, 10x faster · yc · 2026-03-02 · 19 upvotes · similarity 0.66
- RUDA · github · 2026-09-09 · 14 upvotes · similarity 0.66
- fused-zipnerf · github · 2026-10-30 · 27 upvotes · similarity 0.64
- Infernix · github · 2026-10-08 · 98 upvotes · similarity 0.63
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