Stopguessingwhat to study.
Master the patterns behind big-tech coding interviews — prerequisite map, community notes, and AI hints. Built on open-source community notes and a prerequisite graph powered by real algorithms — topological sort, not vibes.
Look for contiguous subarrays or substrings where the constraint is monotonic as you expand or shrink the window.
Patterns that show up in big-tech interviews
Prerequisite study map
Seventeen core DSA patterns wired as a DAG. Topological sort tells you what to study next — no more random LeetCode grinding.
Community-written notes
Every pattern links to open-source explanations with Python templates and curated LeetCode problems — built by learners, for learners.
A mentor, not an answer key
The AI tutor gives graduated hints grounded in those notes. It teaches you to think — it won't dump the full solution on you.
From overwhelmed to on-path.
Open your study map
See which patterns you've mastered, what's unlocked, and what topological sort recommends next.
Read the community notes
Jump to beginner-friendly markdown on GitHub — templates, Big-O, and practice problems for each pattern.
Ask for hints, not answers
Stuck on a problem? The tutor nudges you toward the approach with citations — then you mark the pattern mastered.
Two repos. One mission. Claim a pattern and help thousands prep.
AlgoMentor is the study map and tutor. The Algorithm Knowledge Base is the textbook. Contributors ship linked PRs to both — add a note, wire the graph, get credited on the map.