DSA templates and a progressive AI problem-solving coach
Users
3
0 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#350K
#268K among extensions
Version
2.5.0
updated 25 Jul 2026
Users
monthly, 4 months
Latest, 15 Oct 2026:3 usersMove the mouse over the chart for any month
Ratings count
monthly, 4 months
Latest, 15 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Algo Coach
Algo Coach is a deliberately designed DSA learning experience for LeetCode. It combines a library of reusable JavaScript patterns with an AI coach that behaves more like a strong technical interviewer than an answer generator.
The product is built around a simple principle: the learner should do the thinking. Algo Coach captures the problem, asks the next useful question, and reveals help progressively—from recognition and tradeoffs to hints, pseudocode, and finally code. The result is a reusable problem-solving habit, not just another copied solution.
How the coaching helps you
Open a LeetCode problem and launch Algo Coach from the extension icon or context menu.
Review the captured problem statement before anything is sent to the provider.
Work through a staged conversation that helps you identify patterns, compare approaches, reason about complexity, and test edge cases.
Ask questions and get the next useful hint without immediately giving away the solution.
Move backward or forward through the stages, then reveal pseudocode, code, and a matching template when you are ready.
Existing sessions are resumable, interrupted requests can be retried, and the panel tracks the active tab so a conversation does not silently attach itself to the wrong problem.
The interview experience
Interviewer mode is designed for practice under realistic constraints. It keeps the conversation focused on your reasoning, asks follow-up questions, and gives you space to explain tradeoffs before moving on. The goal is to rehearse the communication that matters in a technical interview: clarifying the problem, stating assumptions, choosing an approach, analyzing complexity, and responding to edge cases.
You can switch between the guided Coach conversation and the more demanding Interviewer conversation from the same session.