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Vector-logic, a lightweight rules engine from first principles

Details

External ID
45887364
Source
HN
Company
—
Product
Vector-logic, a lightweight rules engine from first principles
Website domain
github.com
Launched
Nov. 11, 2025
Cohort
—
Upvotes
8
Upvotes percentile
0.4421397379912664
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
lightweight rules engine
Manually corrected
False

Could you build this?

Partial While a simple naive rules engine is easily promptable, building a formal, high-performance vectorized rules engine from first principles requires deep algorithmic knowledge of AST parsing, Boolean logic compilation, and vectorized execution.

What it would actually take: A true vectorized rules engine requires designing a domain-specific language (DSL) parser, translating rules into an abstract syntax tree (AST), and compiling them into bitwise or vectorized SIMD instructions (often using NumPy, Apache Arrow, or native Rust/C++ arrays). It requires deep knowledge of formal grammar parsers, computational logic optimization (such as Rete-like optimizations or decision diagrams), and memory layout alignment for high-throughput rule evaluation.

Discussion

9 comments analyzed.

Competitors mentioned: Prolog

Concerns raised: Runtime performance inconsistency with rule count (30 rules slower than 45 rules)

Competitors

Other products that read as similar to this one — 1952 launches clear the similarity bar, closest 8 shown.

Attention rank: #934 of 1953 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 13 days after the earliest competitor.

Other launches for this product

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