Akash Vishwakarma
Akash Vishwakarma
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/ 02•2025

DesignRip

AI-Powered Design Intelligence

The Problem & Context

Design systems are usually documented by hand, if at all — engineers copy hex codes and spacing values out of DevTools one element at a time. DesignRip asks a different question: given any public URL, can a machine extract the whole design system in the time it takes to load the page?

Architecture & Implementation

01

A Playwright headless-browser pipeline visits the target URL, walks the rendered DOM, and captures computed CSS (color, type scale, spacing, radii, shadows) alongside high-fidelity component screenshots.

02

Raw scraped JSON is passed to Groq running Llama 3.3-70B, which restructures it into a clean, human-readable design.md — palettes, type ramps, spacing tokens and component notes, ready to drop into a repo.

03

Built on Next.js 15 for a fast, server-rendered intake flow (paste a URL, get a document) with minimal client-side weight.

04

Optimized the extraction pipeline for speed — the Groq/Llama inference step is the only variable-latency stage, everything else runs in parallel where possible.

Technologies & Tools Used

Next.js 15PlaywrightGroqLlama 3.3-70B

Results & Metrics

5countries
$0marketing
secto docs

Key Accomplishments

  • Organic traction across 5 countries within days of launch, with zero marketing spend — driven entirely by word of mouth.
  • End-to-end extraction-to-document time measured in seconds, not minutes, making it viable as a quick reference tool rather than a batch job.