Built for Gujarat Hy-Spin Limited, an IPO-listed cotton yarn manufacturer established in 2011 in Gondal, Gujarat — producing 15 tonnes of ring-spun cotton yarn daily and supplying traders and textile businesses across 15+ metro cities in India with 90Cr+ annual turnover.
Full-stack Developer - Frontend, CMS Integration, SEO Strategy, Deployment
Gujarat Hy-Spin needed a modern corporate website to represent their scale and credibility as an IPO-listed textile manufacturer. The website needed to showcase their product range, highlight their manufacturing capabilities, serve as an investor relations portal with financial disclosures, and be SEO-optimized to attract B2B textile buyers, traders, and investors across India.
Building a corporate website for a listed manufacturing company introduced unique requirements: Investor Relations Portal - Implementing a structured investor section covering Board Committees, Share Holding Pattern, Annual Reports, Financial Results, Corporate Governance, and more — all requiring regular updates and regulatory compliance. Dual Audience Design - Designing for two very different audiences simultaneously: B2B textile buyers seeking product and supply information, and investors/shareholders seeking financial disclosures. CMS Flexibility - Managing product content and investor documents through Sanity.io so the client team could update listings, reports, and announcements independently. Brand Credibility - Presenting a 15,381 sq.m. manufacturing facility with 100+ employees and 90Cr+ turnover in a way that builds confidence with both buyers and investors. SEO Strategy - Optimizing for cotton yarn manufacturer keywords targeting textile traders and industrial buyers across India.
We built a professional corporate website combining product showcase with a full investor relations portal: Next.js Framework delivering fast static pages across product, about, contact, and all investor relations sub-pages. Sanity.io CMS enabling the client team to independently manage product content, investor documents, annual reports, announcements, and financial results. Investor Relations Section with dedicated sub-pages for Board Committees, Investor Grievances, Share Holding Pattern, Annual Report, Announcements, Financial Results, Annual Return, Preferential Issue, and Corporate Governance. Product Showcase highlighting ring-spun cotton yarn in counts 21s to 30s Ne with detailed use-case descriptions for knit and woven textile applications. Hero Slider with 7 slides showcasing the manufacturing facility, yarn production, and brand narrative for immediate visual impact. SEO Optimization targeting cotton yarn manufacturer search terms, Gondal Gujarat textile industry, and B2B supply partnership keywords. Professional Corporate Design using Tailwind CSS that equally serves industrial buyers and equity investors with clear navigation and content hierarchy.
Dedicated investor section with Annual Reports, Financial Results, Share Holding, Corporate Governance and more
Sanity.io integration for independent management of products, documents, and announcements
Detailed ring-spun cotton yarn product pages with counts, specs, and suitable applications
7-slide visual hero section showcasing manufacturing scale, quality processes, and brand story
Easy contact and inquiry system for B2B buyers seeking bulk orders or custom specifications
Targeted optimization for cotton yarn, textile manufacturer, and B2B supply keywords across India

Homepage with hero slider showcasing manufacturing capability and brand narrative
Page Load Time
SEO Score
Investor Pages
CMS
Daily Output
This project was our first experience building a corporate website for an IPO-listed company, which introduced the complexity of investor relations compliance and structured financial disclosure pages. We learned how to balance two distinct audience needs — B2B buyers and investors — within a single coherent design system. Working with Sanity.io for document-heavy content like annual reports and regulatory filings taught us better CMS schema design and content modeling for structured corporate data.
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