Learningto/pass is a new online platform designed to help candidates prepare for Google interviews by focusing on the data structures and algorithms commonly tested by big tech companies. The platform offers interactive visualizations and a built-in Python playground where users can write and run code directly in their browsers. It also includes AI-powered feedback to guide learners and track their progress over time.
The curriculum is organized into a skill tree that maps out prerequisite concepts, allowing users to learn topics in a logical sequence. It covers a broad range of subjects including arrays, linked lists, stacks, queues, hash tables, binary trees, graphs, heaps, tries, sorting algorithms, binary search, recursion, dynamic programming, breadth-first and depth-first search, greedy algorithms, Big-O notation, and system design basics.
Each topic includes challenges of varying difficulty, from beginner to expert levels, enabling users to apply what they have learned through real coding problems similar to those asked in Google interviews. The platform emphasizes hands-on practice with real-time code execution and output display.
Learningto/pass is optimized for larger screens such as laptops and desktops to provide the best experience with its code editor and visual tools. This platform aims to make technical interview preparation more accessible and effective by combining structured learning paths with interactive and AI-enhanced features.