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...
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