Stop Googling random LeetCode problems at 2 AM.
One pack. Every pattern. Every question type. Done.
50 tabs open. LeetCode, YouTube, Reddit, random blogs. No structure. No plan. Just vibes and anxiety.
Most prep guides haven't been updated since 2022. Interviews have changed — AI-assisted coding, new system design patterns, different expectations.
Grinding random problems doesn't build pattern recognition. You need to learn patterns, not memorize 500 solutions.
Six components. One pack. Built by engineers who've been on both sides of the interview table.
Not random problems — organized by the 14 core patterns (sliding window, two pointers, BFS/DFS, dynamic programming, etc.). Each includes optimal solution, time/space complexity, and pattern explanation.
URL shortener, chat app, news feed, ride-sharing, video streaming — the 15 systems that show up in 90% of interviews. Each with diagrams, trade-offs, and scaling strategies.
20 ready-made STAR story frameworks for the most common behavioral questions. "Tell me about a time you…" — just plug in your experience and go.
Exact scripts for every negotiation scenario: initial offer, competing offers, equity negotiation, sign-on bonus, remote work. Copy-paste and send. Includes email templates.
Detailed breakdowns for Google, Meta, Amazon, Apple, Netflix, Microsoft, Stripe, OpenAI, and more. Interview format, what they value, common questions, and red flags to avoid.
Practice with 200+ real interview questions categorized by round type: phone screen, technical deep-dive, system design, behavioral, and culture fit. Includes model answers.
Here are 5 real problems from the pack — with full solutions. Free.
Problem: Given an array of integers and a target, return indices of two numbers that add up to the target.
def two_sum(nums, target):
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
🧠 Pattern Insight: When you need to find pairs/complements, think Hash Map first. Trade O(n) space for O(n²) → O(n) time.
Problem: Given an array and integer k, find the maximum sum of any contiguous subarray of size k.
def max_subarray_sum(arr, k):
window_sum = sum(arr[:k])
max_sum = window_sum
for i in range(k, len(arr)):
window_sum += arr[i] - arr[i - k]
max_sum = max(max_sum, window_sum)
return max_sum
🧠 Pattern Insight: Sliding window avoids recomputing the entire subarray. Expand right, shrink left. Works for sum, average, longest substring, and more.
Problem: Given a binary tree, determine if it is a valid BST.
def is_valid_bst(node, lo=float('-inf'), hi=float('inf')):
if not node:
return True
if node.val <= lo or node.val >= hi:
return False
return (is_valid_bst(node.left, lo, node.val) and
is_valid_bst(node.right, node.val, hi))
🧠 Pattern Insight: Don't just check left < root < right locally — pass valid ranges down the recursion. This pattern applies to any tree constraint validation.
Problem: Given a 2D grid of '1's (land) and '0's (water), count the number of islands.
def num_islands(grid):
def dfs(r, c):
if (r < 0 or r >= len(grid) or
c < 0 or c >= len(grid[0]) or
grid[r][c] == '0'):
return
grid[r][c] = '0' # mark visited
for dr, dc in [(1,0),(-1,0),(0,1),(0,-1)]:
dfs(r + dr, c + dc)
count = 0
for r in range(len(grid)):
for c in range(len(grid[0])):
if grid[r][c] == '1':
dfs(r, c)
count += 1
return count
🧠 Pattern Insight: Grid traversal = graph traversal. Treat each cell as a node, adjacent cells as edges. Mark visited in-place to save space.
Problem: Given an unsorted array, find the length of the longest increasing subsequence.
from bisect import bisect_left
def length_of_lis(nums):
tails = []
for num in nums:
pos = bisect_left(tails, num)
if pos == len(tails):
tails.append(num)
else:
tails[pos] = num
return len(tails)
🧠 Pattern Insight: The O(n²) DP is the obvious approach — but binary search on a "tails" array gets you O(n log n). Interviewers love seeing candidates optimize beyond the first solution.
That's 5 of 100 problems. The full pack covers 14 patterns with detailed explanations.
Get all 100 problems →Engineers who used this pack and landed the job.
"The pattern-based approach clicked instantly. I went from failing phone screens to getting 3 offers in 6 weeks. The system design sheets alone are worth 10x the price."
"Used the salary negotiation scripts word-for-word. Bumped my initial offer by $35K and got an extra $20K sign-on. This pack literally paid for itself 1000x over."
"As a bootcamp grad, I had no idea how to approach system design. The cheat sheets broke it down so clearly that I passed my Stripe system design round on the first try."
Everything you need to prep, interview, and negotiate — in one download.
Delivered as PDF + Notion template. Instant delivery via email.
You'll receive a comprehensive PDF document plus a Notion template you can duplicate. The Notion version lets you track your progress and check off problems as you solve them.
All coding solutions are provided in Python, JavaScript, and Java. The focus is on pattern recognition and approach — the language is secondary.
Absolutely. LeetCode has 3,000+ problems with no curation. This pack gives you the 100 that matter most, organized by pattern so you build real problem-solving intuition instead of memorizing individual solutions. Plus, system design, behavioral prep, and salary negotiation aren't on LeetCode at all.
The pack covers Easy → Hard problems and includes both entry-level and senior system design questions. Junior engineers can focus on patterns and coding problems. Senior engineers will get the most value from system design sheets, behavioral frameworks, and salary negotiation scripts.
We've incorporated the latest interview trends: AI-assisted coding round expectations, updated system design questions (LLM infrastructure, real-time ML pipelines), and current salary benchmarks for 2026. The pack reflects how companies are actually interviewing right now.
Yes — if you're not satisfied within 7 days, email us for a full refund. No questions asked. We're confident the pack delivers.
Every day you don't prep is a day closer to your interview. Get the pack, build the patterns, land the offer.
Get the Interview Prep Pack — $39$79 → $39 launch price · PDF + Notion · Instant delivery · 7-day refund guarantee