Bilal Tufail
Bilal TufailSenior Frontend Developer

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Back to ProjectsMeyka AI stock research platform interface

Next.js

Meyka AI

AI-Powered Stock Research Platform

Meyka is an AI-powered stock research and alternative-data platform designed to help investors explore company information, market trends, investor activity, social sentiment, workforce trends, and institutional holdings.

Main responsibilities

  • Led frontend development from the ground up.
  • Built the complete user interface with Next.js, TypeScript, and Tailwind CSS.
  • Designed and integrated a real-time AI chatbot with streamed responses.
  • Built interactive dashboards for financial and alternative datasets.
  • Implemented server-side rendering, structured data, and an improved metadata strategy.
  • Improved accessibility and responsive behavior across the platform.
  • Optimized assets, layouts, and third-party scripts while resolving layout-shift and CLS issues.

Features delivered

  • Live AI chatbot responses
  • Stock research and market insight dashboards
  • Workforce, social sentiment, and institutional holding datasets
  • Search-friendly financial pages

Measured impact

  • 30%+ improvement in user engagement associated with the chatbot experience.
  • 40% improvement in organic traffic following SEO and SSR improvements.
  • More than 60% reduction in page-load time through performance optimization.

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Developed with care by Bilal Tufail