LaplacesScissors
Laplace's Scissors: protected readout rotations for open LLMs. Diagnose weak output directions, repair answers, preserve successful generations, and analyze scaling deviations with Rust and Triton on CUDA/HIP.
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GITHUB · launched Nov 7, 2026 · 30 upvotes (top 79%) · 0 views
Niche: transformer model development tools · 17 launches, 0 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- cuda
- gpu-computing
- huggingface
- interpretability
- large-language-models
- llm
- +9 more
Visit website ↗ Source listing ↗
More like this: all 17 launches in transformer model development tools →
Could you build this?
No This is novel ML research on protected readout rotations for LLMs, with custom CUDA/HIP kernels. It needs research-level expertise and GPU infrastructure.
What it would actually take: A real version requires a research-grade understanding of transformer internals and the mathematics of the rotations, plus hand-optimized Triton/CUDA/HIP kernels and rigorous evaluation on open models. This needs ML researchers and GPU engineers, not just app-building.
Competitors
Other products that read as similar to this one : 367 launches clear the similarity bar, closest 8 shown.
Attention rank: #282 of 368 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 372 days after the earliest competitor.
- LLMxRay an open-source observability tool for LLMs · hn · 2026-10-11 · 11 upvotes · similarity 0.44
- maple · github · 2026-11-07 · 47 upvotes · similarity 0.41
- NinjaMesher · github · 2026-09-22 · 11 upvotes · similarity 0.40
- local-llm-tuning-guide · github · 2026-10-16 · 21 upvotes · similarity 0.40
- LLMExperiments · github · 2026-09-24 · 7 upvotes · similarity 0.40
- Mirascope · hn · 2026-01-26 · 9 upvotes · similarity 0.40
- Atta · github · 2026-11-03 · 26 upvotes · similarity 0.39
- An LLM-Powered Tool to Catch PCB Schematic Mistakes · hn · 2025-11-28 · 55 upvotes · similarity 0.39
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