--- title: "Before We Compare Solutions, We Need a Way to Measure Them" url: https://daily.dev/posts/before-we-compare-solutions-we-need-a-way-to-measure-them-imi1jm8f6 source_url: https://code.likeagirl.io/episode-1-time-space-complexity-93536b730cd8 type: article source: "Code Like A Girl" published: 2026-08-05T07:18:41.655Z updated: 2026-08-05T07:19:14.950Z tags: ["algorithms", "data-structures", "time-complexity"] reading_time: 9 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Before We Compare Solutions, We Need a Way to Measure Them **[Code Like A Girl](https://daily.dev/sources/colkgirl)** · 9 min read · 1 upvotes · 0 comments ## Summary A beginner-friendly introduction to algorithm complexity analysis. Covers why correctness alone isn't enough when evaluating code, and introduces Big O notation as a language-agnostic way to measure how solutions scale. Explains the most common complexity classes — O(1), O(n), O(n²), O(log n), and O(n log n) — with clear code examples in JavaScript. Also covers space complexity and the practical rule of dropping constants and lower-order terms when simplifying Big O expressions. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#algorithms](https://daily.dev/tags/algorithms), [#data-structures](https://daily.dev/tags/data-structures), [#time-complexity](https://daily.dev/tags/time-complexity) [View this post on daily.dev](https://daily.dev/posts/before-we-compare-solutions-we-need-a-way-to-measure-them-imi1jm8f6)