Hey Product Hunt! 👋 I'm excited to share Algorithm Complexity Visualizer with you all! The problem I wanted to solve: Big O notation always felt abstract to me. Saying "O(n²) is slower than O(n log n)" is one thing—but SEEING the difference? That's when it clicks. What makes this different: 🏃 Real-time racing - Watch algorithms compete on the same data 📊 Interactive visualization - Adjust array sizes and see performance change live 🎯 Practical examples - From bubble sort to binary search, see why choices matter 📈 Performance metrics - Actual operation counts and execution times ⚡ Instant feedback - No setup required, works right in your browser Who it's for: Developers prepping for technical interviews CS students learning data structures Anyone who's ever wondered "why is this loop so slow?" Built with: React, Recharts, and a lot of coffee ☕ I'd love to hear: Which algorithm surprised you most? What other algorithms should I add? How do you currently learn about complexity? Try it out and let me know what you think! Your feedback will help make this even better. 🚀 Link: https://algorithm-complexity-vis...

Algorithm Complexity Visualizer

Watch sorting/searching algorithms battle it out

Watch sorting/searching algorithms battle it out