What is Big-O notation?

Big-O notation describes the upper bound of an algorithm's growth rate as the input size increases. It tells you how the number of operations scales — for example, O(n²) means operations grow quadratically with input size.

How does the Complexity Estimator work?

You select a complexity class (like O(n log n)) and an input size (n). The tool calculates the number of operations at n, 10n, and 100n, shows the growth multiplier, and gives a scaling verdict — all computed instantly in your browser.

Is my data sent to a server?

No. All calculations are performed 100% client-side in your browser using pure math. No data is uploaded or stored anywhere.

Can I compare two algorithms?

Yes. Enable compare mode to select a second complexity class. You'll see both results side by side with the difference in operations at 100x scale, making tradeoffs immediately visible.

How does the live code analysis work?

Switch to the 'Analyze Code' tab and paste any function (JavaScript, TypeScript, Python, Java, C++). The tool scans for structural patterns — loop nesting, recursion, halving, .sort() calls — to detect the Big-O complexity. It runs entirely in your browser using pattern-based heuristics, no AI or server calls involved.

Free Algorithm Scaling Tool

Feel How Algorithms
Scale at 100x

Select a complexity class and input size. Instantly see operation counts at n, 10n, and 100n — compare algorithms side by side and make better architecture decisions.

📈

Instant Scaling

See exactly how operations grow when your input size increases 10x or 100x.

🔍

Analyze Your Code

Paste a function and instantly detect its Big-O complexity using pattern-based heuristics.

🔒

100% Client-Side

All calculations happen in your browser. No data leaves your machine.

Algorithm Growth Simulator

Complexity Type

Input Size (n)

At n (1.0K)

1.00M

1 sec

At 10n (10.0K)

100.00M

2 min

At 100n (100.0K)

10.00B

3 hr

Growth multiplier

10.0Kx

Explosive growth. Not production-safe at scale.

Time estimates assume 1 operation ≈ 1 microsecond. Actual performance depends on hardware, constants, and implementation.

Frequently Asked Questions

Everything you need to know about Complexity Estimator.

Feel How AlgorithmsScale at 100x

Instant Scaling

Analyze Your Code

100% Client-Side

Frequently Asked Questions

Feel How Algorithms
Scale at 100x