A worked example
2 raised to the 100th power equals exactly 1,267,650,600,228,229,401,496,703,205,376 — far beyond what a standard calculator can represent precisely.
Frequently asked questions
Why do regular calculators struggle with very large numbers?
Standard calculators (and JavaScript's regular numbers) lose precision past about 15-17 digits, since they store numbers in a fixed-size binary format — this tool uses a different representation that keeps whole numbers exact no matter how many digits they have.
What's a practical use case for this?
Computing large factorials, working with cryptographic-scale numbers, or any calculation where standard floating-point math would silently round off digits you actually need.