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semq

Deterministic symbolic codes for embedding vectors. Byte-identical across CPUs and languages, content-addressed, diffable and verifiable. C core with Python, Rust, Go and TypeScript bindings.

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This is 1 of 255 launches in specialized algorithms and computing libraries — see how it stacks up on momentum and crowding →

785 other launches read as similar to this one →

Details

External ID
1405236282
Source
GITHUB
Company
—
Product
semq
Website domain
thesemqgroup.ai
Launched
Oct. 5, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.14
Tags
audit, c, content-addressable, determinism, embeddings, golang, machine-learning, python, quantization, rag, reproducibility, rust, sdk, simd, typescript, vector-search, webassembly

Enrichment

Niche
specialized algorithms and computing libraries
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
deterministic symbolic quantization library for vector embeddings
Manually corrected
False

Could you build this?

No SEMQ develops a novel cross-hardware deterministic symbolic quantization algorithm and state layer with low-level C cores and multi-language bindings.

What it would actually take: This project requires novel mathematical research into representation-invariant vector quantization (deterministic angular code projection) that maintains identical binary output across diverse CPU/GPU architectures and floating-point non-determinism. The architecture consists of a high-performance C library implementing custom linear algebra routines compiled to strict IEEE standards, wrapped in FFI bindings for Python, Rust, Go, and TypeScript. Building this requires senior systems engineering and mathematical expertise in vector quantization algorithms.

Competitors

Other products that read as similar to this one — 785 launches clear the similarity bar, closest 8 shown.

Attention rank: #652 of 786 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 338 days after the earliest competitor.

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