Video walkthroughs, pattern guides, and structured learning. Every module follows the BASIC Framework.
How to approach any algorithm problem using pattern recognition. The science behind it.
Frequency counting, prefix sums, and core array manipulation patterns.
Left-right, fast-slow, and sorted array patterns that appear in 40%+ of interviews.
Fixed and variable window patterns. Substring and subarray optimizations.
Monotonic stacks, next greater element, and expression evaluation patterns.
Standard, rotated, and answer-space binary search. Boundary conditions mastered.
Recursive tree traversals, BST operations, level-order patterns.
BFS, DFS, Union Find, Topological Sort, shortest paths. The pattern that connects them all.
1D, 2D, knapsack, LIS, and interval DP. From recognition to implementation.
Combinations, permutations, constraint satisfaction, and greedy choice patterns.
Tries, Segment Trees, Bit Manipulation, Math patterns, and design problems.
Google, Meta, Amazon, Apple, Microsoft, Netflix, Uber, Stripe. Curated by real interview data.
Course content is being finalized for the May 5 launch. Start prepping now with our free practice (100 problems) and YouTube channel.