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A text format for UI wireframes

comparing token costs across 4 format

Details

External ID
46895733
Source
HN
Company
—
Product
A text format for UI wireframes
Website domain
github.com
Launched
Feb. 5, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.10512129380053908
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I've been exploring how to describe UI layouts to LLMs efficiently.The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verboseI ran some measurements. For a simple login form: - Natural language: 102 tokens - ASCII art: 84 tokens - HTML: 330 tokensI experimented with a grid-based text format using Excel-like cell references: grid: 4x3 A1..D1: { type: txt, value: "Login" } A2..D2: { type: input, label: "Email" } D3: { type: btn, value: "Submit" } This came out to 120 tokens – less than HTML, more precise than natural language.Built a CLI to render it to SVG/PNG: npx ktr input.kui -o output.pngCurious what approaches others have tried for this problem. Is there something I'm missing that already solves this well?Code: https://github.com/enlinks-llc/katsuragi

Enrichment

Theme
typography and unicode text tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
text format for ui wireframes with token cost comparison
Manually corrected
False

Could you build this?

Yes Designing a compact text-based DSL or layout schema for wireframes and benchmarking token usage across LLMs can easily be built with an AI coding assistant.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 39 launches clear the similarity bar, closest 8 shown.

Attention rank: #40 of 40 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 73 days after the earliest competitor.

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