# Lichen: Big-O Algorithms

> Algorithm complexity reference

Canonical page: [https://chrome-stats.com/d/id6771637608](https://chrome-stats.com/d/id6771637608)

## Overview

- **ID:** `id6771637608`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Linh Phan Nhat Khanh
- **Category:** Reference
- **Version:** 1.0.0
- **Last updated:** 2026-05-22
- **First published:** 2026-05-22
- **Size:** 533 KB
- **Data as of:** 2026-09-24
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/lichen-big-o-algorithms/id6771637608)
- **Website:** [https://pnkl26.web.app](https://pnkl26.web.app/)
- **Privacy policy:** [https://pnkl26.web.app/privacy-policy](https://pnkl26.web.app/privacy-policy)

## Description

Big-O at a glance. Catalog, chart, and quiz for every classic algorithm — fully offline.

Lichen is a focused, offline reference for classical algorithms and their Big-O complexity. Built for students, interview candidates, and working engineers who want fast answers without noise.

A clean catalog, a side-by-side growth chart, and a quick quiz mode — all on a single dark stage. No clutter, no popups, no upsells.

KEY FEATURES
• Catalog of 30+ algorithms across Sort, Search, Graph, Tree, String, Dynamic Programming, Divide & Conquer, Greedy, Hashing, and Heap
• Best, average, worst, and space complexities for every algorithm
• Live growth-rate chart comparing O(1), O(log n), O(n), O(n log n), O(n²), O(2ⁿ), and O(n!)
• Pseudocode snippets and real-world use cases on every detail page
• Filter by category and by complexity class with single-tap chips
• Bookmark algorithms you want to revisit
• Big-O Quiz mode for spaced practice before interviews

DESIGNED FOR INTERVIEW PREP
Whether you are warming up for a coding round, picking the right data structure for a hot loop, or refreshing concepts before a system design call, Lichen stays out of the way and surfaces the answer in two taps.

PRIVACY
No tracking. No accounts. Your bookmarks live on your device.

## Rankings

- #1,306,114 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6771637608)