I’m excited to launch a comprehensive set of resources on algomaster.io to help you master DSA and prepare for coding interviews:

1. AlgoMaster 600: Added a new list with 300+ additional frequently asked problems covering most topics and patterns.

2. DSA Course: A complete course to learn DSA from scratch and prepare for coding interviews. It includes explanation to interview topics and a more granular classification of problems by patterns to help you build stronger intuition.

3. Company-wise Practice Page: A dedicated page to practice questions tailored to specific companies.

4. 600+ DSA Animations: Visualizations for most problems in the AlgoMaster list and key concepts.

5. AI powered Coding Interview Simulator: A new feature to practice in a realistic interview environment and receive AI-driven feedback on your approach, code quality, and overall problem-solving process.

I’ve kept a significant portion (~70%) of these resources as free to help the wider community. Many users have found even the free content to outperform most paid courses in both depth and quality.

For full access you can upgrade to premium plan at the current discounted price. The Premium plan includes access to all algomaster.io courses and features.

I’ve put a significant amount of effort in creating these resources and I hope you find them helpful.

I’ve added 300+ new problems to create a well-rounded, high-signal problem set covering all major patterns and difficulty levels. Each problem is carefully selected to give you both the breadth and depth needed to master coding interviews.

I’ve introduced a new frequency column to help you prioritize smarter by focusing on questions that appear more often in interviews.

You can now solve problems directly on the platform using the in-built code editor and judge. Currently it supports Java, Python, C++, C#, JavaScript, and TypeScript with plans to add more languages over time. If you prefer practicing on LeetCode, the original links are still available.

There’s also an Evaluate feature that reviews your solution, grades your code, and provides AI-driven feedback to help you improve.

Launching a complete, structured course designed to take you from fundamentals to interview-ready. The course breaks problems down by patterns and techniques so you learn how to recognize patterns easily in interviews.

Each topic includes curated practice problems, and every solution covers multiple approaches along with clear intuition, step-by-step algorithms, and animated walkthroughs to make concepts easy to understand.

Introducing the company-wise practice page, where you can solve problems commonly asked by specific companies.

This helps you tailor your preparation to your target companies and get a clear sense of the types of questions they typically ask.

It’s especially useful in the final phase of preparation when you want to sharpen your focus. The company list will be updated regularly to stay current.

Learning algorithms visually is one of the fastest ways to truly understand and retain them. You can grasp the core idea in minutes instead of watching an hour long video.

I’ve created 600+ animations that walk you through how data structures and algorithms work step by step.

These visualizations cover most problems in the AlgoMaster list along with core concepts, helping you build intuition much faster than static explanations.

I’m excited to introduce an AI-powered coding interview simulator where you can practice in a realistic interview environment.

You can create and simulate real interview scenarios, solve problems under time pressure, and receive AI-driven feedback on your approach, code quality, and overall problem-solving process. This helps bridge the gap between practice and actual interviews.

It also includes a voice mode (premium feature), allowing you to explain your approach out loud while the AI interviewer responds in voice, just like a real interview. You can choose from different interviewer personas such as strict, balanced, or coaching.

If you get stuck, you can ask for hints during the session. After ending the interview, you’ll receive detailed feedback across multiple dimensions to help you improve.

If you have any suggestions or feedback, feel free to share. I’ll continue improving and expanding these resources over time.

For any questions related to content or subscription, please reply to this email or reach out at contact@algomaster.io