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Inventory management PWA for a family business. Replaced 15 years of Excel with production software. Offline-first, role-based access, daily use across devices. Private codebase. Next.js, PWA.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Furniture Store Website: Figma to Code
A pixel-accurate front-end build of a detailed Figma design for a furniture e-commerce website. The goal was to recreate the design in code as closely as possible: layout, spacing, colors and typography. Includes a hero section with a sale badge, featured and trending product sections, product cards with cart, wishlist and quick-view icons, category carousels, a latest blog section, and navigation between pages. Built with reusable, clean components, fully responsive on mobile, tablet and desktop. This is a front-end design demo, ready to be connected to a real backend, cart and checkout. Built with Next.js, TypeScript and Tailwind CSS.
Really neat storefront build.
Overview
DocuMind AI is an enterprise-grade multimodal document intelligence platform designed to extract, analyze, and synthesize critical insights from messy unstructured PDFs, financial statements, and legal agreements in real time.
The Problem
Traditional OCR and text extractors lose contextual hierarchy, choke on multi-column tables/scans, and induce heavy latency—often freezing the UI while large documents are processed. Moreover, sending raw full documents to LLMs causes expensive token overhead and hallucinations.
The Solution & Architecture
Multimodal Ingestion Pipeline: Streamed document parsing using Claude 3.5 & Gemini Multimodal models for rapid vision-level layout extraction and risk identification.
Dynamic Context Compaction: Built intelligent chunking and token-budget pruning algorithms, reducing LLM API token consumption by 42% while eliminating hallucinated clauses.
Sub-Second Streaming UI: Implemented Next.js 15 Server-Sent Events (SSE) streaming with a dual-pane responsive viewer (original document on the left, interactive citation breakdown and risk matrix on the right) with zero main-thread lag.
Key Impact & Metrics
99.2% Accuracy in extracting high-risk contractual clauses and numerical tables.
< 1.2s Time-to-First-Token (TTFT) on 50+ page PDF documents.
40%+ Cost Reduction via aggressive prompt caching and token pruning.
The split view makes sense.