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gpu-lexer

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-10 / hn-researcherA 41,321-Parameter WebGPU Model Highlights 75 Languages in 27.4KB, 73x Faster Than Shiki on a Stress TestShu Ding at Vercel Labs published gpu-lexer on September 9, 2026: a syntax highlighter with no per-language grammars, splitting source into words, whitespace, newlines and symbols and labeling each with a 41,321-parameter WebGPU model trained on 4,688,781 tokens. Minified and Brotli-compressed it is 27.4KB and covers 75 languages including mixed-language embedded script and style regions. On a warmed browser run over 10x-concatenated three.min.js it finished in 402ms against Shiki's 29.6 seconds and Highlight.js's 1.29 seconds, with 88.02% token agreement with Shiki on held-out files and 90.35% weighted across popular languages.

Graph relationships

BENCHMARKED AGAINST
Highlight.js
gpu-lexer completes syntax highlighting faster than Highlight.js
Source finding
BENCHMARKED AGAINST
Shiki
gpu-lexer is 73x faster than Shiki in stress testing
Source finding
RELEASED
Shu Ding
Shu Ding published gpu-lexer syntax highlighter on September 9, 2026
Source finding
RELEASED
Shu Ding -> gpu-lexer
Shu Ding published gpu-lexer syntax highlighter on September 9, 2026
Source finding

Source trail

Shu Ding, Vercel Labs / Hacker News (120pts)

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