Show HN: Jacq, a DSL that compiles model and kernel descriptions to CUDA
I was working (with agents) on testing out various attention algorithm ideas I had, and I found that the existing infrastructure/libraries made it more difficult than it should be. So I created Jacq, a DSL and compiler. A jacq file describes a model’s configuration, weights, layers, and pipeline. Jacq turns it into a standalone CUDA inference runtime and a Python weight exporter. Kernel descriptions can also generate CUDA harnesses. The easiest way to try it is the TinyLlama example in the READM
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points · 3 votes
2026-11-07 23:00:32.387Z
cumulative since publication
Research analysis
Project record
Repository: ImpossibleComputing/jacq. Source account: I was working (with agents) on testing out various attention algorithm ideas I had, and I found that the existing infrastructure/libraries made it more difficult than it should be. So I created Jacq, a DSL and compiler. A jacq file describes a model’s configuration, weights, layers, and pipeline. Jacq turns it into a standalone CUDA inference runtime and a Python weight exporter. Kernel descriptions can also generate CUDA harnesses. The easiest way to try it is the TinyLlama example in the READM
Observed adoption & comparisons
Source votes: 3 votes (Nov 7, 2026 UTC; cumulative since publication) Recent records to compare: “Show HN: Record, branch, and compare command runs in stdlib-only Python” (Show HN, Nov 8, 2026); “meta/astryx” (GitHub Trending, Nov 8, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
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