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Show HN: Flide: Make Jev-like decision models up to 9.5x faster

Decision models need their own inference engine. So we developed Flide, a high-performance and exact inference engine for Jev-like decision models. Flide achieves up to a 9.5x speedup over vLLM and SGLang. It now supports 30+ popular local Jev-like decision models. Start to make your decision immediately: pip install flide

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Source record

Recorded metrics

points · 2 votes
2026-11-09 06:15:20.372Z
cumulative since publication

Research analysis

Project record

Repository: OmniJev/Flide. Source account: Decision models need their own inference engine. So we developed Flide, a high-performance and exact inference engine for Jev-like decision models. Flide achieves up to a 9.5x speedup over vLLM and SGLang. It now supports 30+ popular local Jev-like decision models. Start to make your decision immediately: pip install flide

Observed adoption & comparisons

Source votes: 2 votes (Nov 9, 2026 UTC; cumulative since publication) Recent records to compare: “dsx-ai-factory/nvke” (GitHub Trending, Nov 9, 2026); “KetchUp – Open-source SketchUp alternative built with Rust and WebGPU” (Hacker News, 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.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.