PluginStats
LeetCopilot: LeetCode AI Assistant for Coding Interview Prep users statistics
Chrome Web Store · Developer Tools
Practice LeetCode smarter with AI-powered hints, structured study notes and realistic mock interviews — all inside the problem page.
LeetCopilot: LeetCode AI Assistant for Coding Interview Prep has approximately 701 recorded users on Chrome Web Store.
It ranks #669 of 1,556 tracked Chrome Web Store listings by users.
It is rated 4.2 out of 5 from 10 ratings.
PluginStats has 1 daily observations since Oct 16, 2026; the latest is from Oct 16, 2026.
Rating: 4.20 / 5 from 10 ratings
About LeetCopilot: LeetCode AI Assistant for Coding Interview Prep
Practice LeetCode smarter with AI-powered hints, structured study notes and realistic mock interviews — all inside the problem page.
🚀 LeetCopilot — AI Assistant for LeetCode & Coding Interview Prep
LeetCopilot is an AI-powered assistant for LeetCode that helps you practice data structures & algorithms, understand problems deeply, and prepare for coding interviews — all without leaving the LeetCode page.
Instead of switching tabs for hints, notes, and explanations, LeetCopilot provides context-aware guidance directly inside your workspace, helping you stay focused and learn more effectively.
💬 AI Coding Hints Get Unstuck Without Spoilers - Step-by-step hints that guide your reasoning - Understands your code, test cases, and submissions - Helps you think through solutions instead of giving full answers
🛠️ Built-in Smart Tools Tools that act, not just explain - Run code instantly on sample inputs and auto-generated edge cases - Step through execution to visualize algorithms and data structures - Capture quick notes and insights while solving problems
📚 Auto-generated Study Notes Turn Practice into Long-Term Understanding - Auto-generate structured study notes from each problem - Track mistakes, edge cases, and reusable patterns - Build a personal knowledge base for fast review before interviews
🎤 Mock Code Interviews Practice Interview-Style Thinking - Adaptive mock interviews that test reasoning, not memorization - Realistic interview scenarios inspired by real-world tech interviews - Clear feedback with structured breakdowns and performance insights
🧠 Smart Context Help that matches your approach - Reads your code, test cases, and error messages to provide tailored guidance - Responds to your solution strategy instead of generic templates - Reduces guesswork so you can stay focused and in flow
✨ Why LeetCopilot? - Learn algorithms faster with personalized, contextual guidance - Build durable understanding with notes and structured review - Practice interview-style problem solving with real feedback - Stay inside LeetCode — no distractions, no tab switching
🎯 Who is LeetCopilot for? - LeetCode users preparing for coding interviews - Students learning data structures & algorithms - Software engineers improving problem-solving skills
👉 Install LeetCopilot to make your LeetCode practice more focused, effective, and interview-ready.
Description from the Chrome Web Store listing.
Where LeetCopilot: LeetCode AI Assistant for Coding Interview Prep sits in the listing
Each band is one page of 20. Users on a log scale. Placement is projected from users, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.
Charts
Images: 30d · 1y · all time · 1600×900 dark
Adoption over time
7/30/90-day growth
Ranking history
Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
Recent observations
Full history (1)Similar Chrome Web Store Developer Tools plugins
Data source
User counts are read from public Chrome Web Store listing pages. Google displays rounded user counts (and caps the display at 10,000,000+), so small changes may not be visible. Rating counts above 1,000 are rounded (e.g. 1.6K).
Listing: https://chromewebstore.google.com/detail/leetcopilot-leetcode-ai-a/dbhnljkilpakemcjnjekallpngmmpkap. First seen Oct 16, 2026; last successful collection Oct 16, 2026. See the methodology.