/* TEAM */ Founder & Lead Developer: Michael Mammela Contact: michael [at] scorednews.com Twitter: @MichaelMammela From: Global /* THANKS */ Next.js team for the amazing framework Supabase for the backend infrastructure Vercel for hosting and analytics The financial data providers The open source community /* SITE */ Last update: 2025/01/11 Language: English Doctype: HTML5 IDE: VS Code Technologies: Next.js, TypeScript, Tailwind CSS, Supabase Standards: HTML5, CSS3, JavaScript ES6+, Accessibility (WCAG 2.1) Components: Radix UI, Lucide Icons, Framer Motion Analytics: Vercel Analytics Performance: Optimized images, code splitting, caching Security: HTTPS, CSP, input validation SEO: Structured data, meta tags, sitemap, RSS feed /* WHAT */ Scored News is a financial intelligence platform that provides AI-powered sentiment analysis of financial news and market data. Our mission is to democratize access to sophisticated financial analysis tools and insights. Features: - Real-time sentiment analysis of financial news - Market trend tracking and visualization - Deep dive financial analysis articles - Sentiment-based article scoring - Mobile-responsive design - Dark/light theme support /* WHERE */ Website: https://scorednews.com Repository: https://github.com/Michael-Siglap/articles License: All rights reserved /* WHEN */ Founded: 2024 Launched: 2024 Current Version: 1.0 .-. .-. / \ / \ / \ / \ | ♪♫♪ | | $$$ | \ / \ / \ / \ / '-' '-' Music + Money = Score News! /* PHILOSOPHY */ We believe that everyone should have access to high-quality financial analysis and market insights. Our platform combines cutting-edge AI technology with human expertise to provide actionable intelligence for investors, traders, and financial professionals. Quality over quantity - every piece of content is carefully curated and analyzed Transparency - our methodologies and sources are clearly documented Accessibility - complex financial concepts explained in understandable terms Innovation - continuously improving our algorithms and user experience /* KUDOS */ Special thanks to all the financial journalists and analysts whose work we analyze. Gratitude to the TypeScript and React communities for excellent tooling. Appreciation for all users who provide feedback and help us improve. /* ASCII ART */ ███████╗ ██████╗ ██████╗ ██████╗ ███████╗██████╗ ███╗ ██╗███████╗██╗ ██╗███████╗ ██╔════╝██╔════╝██╔═══██╗██╔══██╗██╔════╝██╔══██╗ ████╗ ██║██╔════╝██║ ██║██╔════╝ ███████╗██║ ██║ ██║██████╔╝█████╗ ██║ ██║ ██╔██╗ ██║█████╗ ██║ █╗ ██║███████╗ ╚════██║██║ ██║ ██║██╔══██╗██╔══╝ ██║ ██║ ██║╚██╗██║██╔══╝ ██║███╗██║╚════██║ ███████║╚██████╗╚██████╔╝██║ ██║███████╗██████╔╝ ██║ ╚████║███████╗╚███╔███╔╝███████║ ╚══════╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝╚═════╝ ╚═╝ ╚═══╝╚══════╝ ╚══╝╚══╝ ╚══════╝