Stop Grinding. Start Recognizing

You've Been Preparing for FAANG the Wrong Way.

Most engineers spend months grinding LeetCode problems.

500 problems. 600 problems. Some go past 1,000.

Then they sit down in the interview — and freeze.

Not because they haven't worked hard enough.

Because they've been memorizing solutions instead of learning patterns.

Here's the truth that changes everything:

There are only 12 patterns behind every single FAANG coding interview.

Every problem you will ever face — at Google, Amazon, Meta, Microsoft, or Apple — is a variation of one of these 12 patterns.

The engineer who recognizes "this is a sliding window problem" in the first 60 seconds has already won half the round.

The engineer grinding random problems is hoping they get lucky.

Hope is not a preparation strategy.

Introducing: The 12 LeetCode Patterns Every FAANG Engineer Must Know

A 16-page technical guide built by a Principal Engineer with 14 years at Oracle, Amazon, and Microsoft.

Not theory. Not a list of problems to memorize.

A complete pattern-recognition system that works on any problem — including ones you've never seen before.

What's Inside

Pattern 01 — Sliding Window How to process contiguous subarrays in a single pass. Turns O(n²) brute force into O(n) by maintaining a moving window that adds one element and removes another instead of recomputing from scratch. Covers maximum subarray, longest substring with k distinct characters, and minimum window problems.

Pattern 02 — Two Pointers Navigate sorted arrays from both ends simultaneously. Eliminates nested loops and reduces quadratic solutions to linear time. The pattern behind two sum, container with most water, and three sum — three of the most common FAANG warm-up problems.

Pattern 03 — Fast & Slow Pointers Floyd's Tortoise and Hare algorithm. One pointer moves one step, one moves two. If a cycle exists, they meet. If not, fast reaches the end. Solves cycle detection, finding the middle of a linked list, and happy number — all in O(1) space.

Pattern 04 — Merge Intervals Sort by start time, then merge overlapping ranges in a single linear pass. The pattern behind meeting room scheduling, calendar overlap detection, and any problem where intervals need to be combined, split, or analyzed for coverage.

Pattern 05 — Cyclic Sort If you have n numbers in range [1, n], each number belongs at a specific index. Place them there in one pass. Then a second pass finds every missing, duplicate, or misplaced number in O(n) time with O(1) space — no hash maps, no sorting overhead.

Pattern 06 — In-Place Linked List Reversal Reverse a linked list — or any sublist — by rewiring three pointers as you traverse. No extra data structures. Covers full reversal, partial reversal between positions p and q, k-group reversal, and palindrome detection on linked lists.

Pattern 07 — Tree BFS Process trees level by level using a queue. The snapshot trick — capturing the queue size at the start of each level — is the single technique that unlocks level-order traversal, minimum depth, right-side view, and zigzag traversal problems.

Pattern 08 — Tree DFS Explore tree paths fully before backtracking, using recursion or an explicit stack. The three traversal orders — preorder, inorder, postorder — and when each applies. Covers path sum, maximum depth, BST validation, and all root-to-leaf path problems.

Pattern 09 — Two Heaps A max-heap holding the lower half of your data. A min-heap holding the upper half. Keep them balanced and the median lives at the top in O(1). The only pattern that solves the median of a data stream problem efficiently — and a guaranteed appearance in senior-level loops.

Pattern 10 — Subsets & Backtracking Build solutions incrementally: choose, recurse, un-choose. Every path in the decision tree is a candidate solution. Generates all subsets, permutations, and combinations systematically. Solves Sudoku, N-Queens, word search, and every combinatorial problem at FAANG.

Pattern 11 — Modified Binary Search Binary search does not require a fully sorted array. Learn to identify which half is always sorted in a rotated array, how to binary search on the answer space rather than the array itself, and how to find first and last positions in O(log n). Covers six variations most candidates have never practiced.

Pattern 12 — Top K Elements A min-heap of size K always holds the K largest elements. Its root is the Kth largest by definition. More efficient than sorting when K is small. Solves K most frequent elements, K closest points to origin, Kth largest in a stream, and top K frequent words.

Plus: The Pattern Recognition Quick Reference

A one-page cheat sheet with all 12 patterns mapped to their recognition signals.

The question to ask yourself the moment you read any problem:

"Which of these 12 does this look like?"

When you can answer that question in under 60 seconds, you have a process. When you have a process, pressure becomes manageable.

Print it. Keep it on your desk during preparation.

This Guide Is Right For You If:

You are preparing for a FAANG coding interview in the next 3 to 6 months and want to stop practicing blindly and start recognizing problems by structure.

You have been rejected before and suspect your preparation is scattered rather than strategic.

You are a working engineer who cannot afford 400 hours of random LeetCode grinding and needs the most efficient path to interview readiness.

This Guide Is Not For You If:

You are looking for a magic shortcut that replaces practice entirely. The patterns show you what to practice. The practice is still yours to do.

What Engineers Say After Learning the Patterns:

"I used to stare at hard problems and panic. Now I ask myself which pattern applies. That one shift changed everything for me."

"I failed three FAANG loops, grinding problems randomly. Learned these 12 patterns in 3 weeks. Got an L5 offer at Amazon on the next attempt."

"The pattern recognition quick reference card alone is worth more than the $19."

The Investment: $19

One dinner. A fraction of one hour of FAANG compensation.

The comp difference between your current role and a FAANG L5 offer is typically $100,000 to $150,000 per year.

If this guide helps you land that offer even one week sooner, the return on $19 is roughly 10,000x.

What You Get Immediately After Purchase:

A 16-page PDF delivered instantly to your inbox containing all 12 patterns, each with a plain-English explanation, exact recognition signals, a real LeetCode example, a complete annotated Python solution, time and space complexity analysis, a key insight that most engineers miss, and the full pattern recognition quick reference card.

No subscription. No upsell. No course to complete.

One document. Permanent access. Immediate download.

👉 Get the Guide for $19 — Instant Download

Already want more than the guide?

If you want a complete 12-week preparation plan, direct feedback on your specific gaps, and mock interviews with a Principal Engineer who has been on both sides of the FAANG table, check out the 1:1 premium coaching program.

You Already Know You Need This.

The only question is whether you act on it today or spend another three months grinding problems that won't move your score.

12 patterns. 16 pages. $19.

Everything you need to walk into any FAANG coding round with a process — not a prayer.