Faced with the challenge of helping users efficiently manage and analyze their stock wishlists, I developed a web application made for personalized stock tracking and analysis.
Enabled users to authenticate, create multiple wishlists, add stocks to their wishlists, and view detailed information about their wishlists, including how the stocks have performed over different time periods. This would give users a better way to track their investments and make more informed decisions.
Next.js, PostgreSQL, GraphQL, Prisma, Tailwind CSS, NextAuth v5, TypeScript and ShadCN.
Achieved exceptional Google Lighthouse scores, earning a perfect 100 in both best practices and SEO, demonstrating its adherence to industry standards and optimization for search engines.