75 LeetCode Problems FAANG Asks Most (2026 Frequency Data)
The original Blind 75 list, posted on Blind in 2020, was an opinionated curation by an ex-Facebook engineer. Excellent for its era. By 2026 it's six years stale. Half the problems on it remain top-frequency. The other half have been rotated out of FAANG interview rotations as interviewers shifted away from problems that AI tools solve in seconds.
This is the 2026 update. The 75 most-asked LeetCode problems at FAANG ranked by frequency, sourced from 800+ interview reports tracked through our Discord plus aggregated Reddit and Blind threads. Each problem is tagged by pattern, primary FAANG company, and difficulty.
How this list was built
Three data sources merged:
- Our internal Discord-tracked dataset of 800+ interview reports from 2024-Q1 2026.
- Aggregated Reddit threads on /r/cscareerquestions and Blind asking "what did you get asked at X."
- The Sean Prashad list (real, public) cross-referenced against the official LeetCode "company tagged" feature on LeetCode Premium.
The frequency rank is averaged across the three sources. Where sources disagree (e.g., LC 198 House Robber appears in our dataset 3x more often at Amazon than at Google), the company-specific note is included.
TL;DR — the top 10
For position-zero featured snippet:
- LC 1 Two Sum (Easy). Every FAANG, the warmup.
- LC 200 Number of Islands (Medium). Google, Meta, Amazon.
- LC 121 Best Time to Buy/Sell Stock (Easy). Every FAANG.
- LC 76 Minimum Window Substring (Hard). Meta, Amazon.
- LC 56 Merge Intervals (Medium). Every FAANG.
- LC 3 Longest Substring w/o Repeating (Medium). Every FAANG.
- LC 53 Maximum Subarray (Medium). Amazon, Google.
- LC 322 Coin Change (Medium). Amazon, Meta.
- LC 33 Search in Rotated Sorted Array (Medium). Meta, Amazon.
- LC 146 LRU Cache (Medium). Every FAANG, the L4+ filter.
Tier 1 — The Top 25 (Must-Solve)
These 25 cover roughly 60% of all FAANG technical interview questions. Solve all 25 cold in target time and you're 80% prepared for the technical bar at L3-L4. Each is annotated with pattern + primary company.
Tier 1 alone hits 60% of asked questions. The marginal return on Tier 3 is real but small — solve Tier 1 cold first or you're optimizing the wrong end of the list.
Tier 2 — The Next 25 (Strongly Recommended)
These 25 cover the next 25% of FAANG questions. After Tier 1, this is your next priority block.
| # | Problem | Difficulty | Pattern | Top Company |
|---|---|---|---|---|
| 26 | LC 11 Container With Most Water | Medium | Two Pointers | All |
| 27 | LC 15 3Sum | Medium | Two Pointers | All |
| 28 | LC 42 Trapping Rain Water | Hard | Two Pointers / Mono Stack | Amazon, Google |
| 29 | LC 567 Permutation in String | Medium | Sliding Window | Meta |
| 30 | LC 424 Longest Repeating Char Replace | Medium | Sliding Window | Meta |
| 31 | LC 239 Sliding Window Maximum | Hard | Monotonic Deque | Meta, Amazon |
| 32 | LC 4 Median of Two Sorted Arrays | Hard | Binary Search | Google L5+ |
| 33 | LC 153 Find Min in Rotated Sorted | Medium | Binary Search | Meta |
| 34 | LC 875 Koko Eating Bananas | Medium | BS on Answer | Google, Amazon |
| 35 | LC 1011 Capacity to Ship Packages | Medium | BS on Answer | Amazon |
| 36 | LC 416 Partition Equal Subset Sum | Medium | 0/1 Knapsack | Meta |
| 37 | LC 300 Longest Increasing Subseq | Medium | LIS DP | |
| 38 | LC 1143 Longest Common Subseq | Medium | LCS DP | Meta, Google |
| 39 | LC 72 Edit Distance | Hard | LCS DP | Google, Meta |
| 40 | LC 309 Buy/Sell Stock w Cooldown | Medium | State Machine DP | Amazon |
| 41 | LC 695 Max Area of Island | Medium | DFS | |
| 42 | LC 994 Rotting Oranges | Medium | BFS | Amazon |
| 43 | LC 286 Walls and Gates | Medium | Multi-source BFS | Meta |
| 44 | LC 547 Number of Provinces | Medium | DFS / Union-Find | |
| 45 | LC 684 Redundant Connection | Medium | Union-Find | Google, Meta |
| 46 | LC 269 Alien Dictionary | Hard | Topo Sort | Meta, Google |
| 47 | LC 210 Course Schedule II | Medium | Topo Sort | All |
| 48 | LC 215 Kth Largest Element | Medium | Heap / Quickselect | All |
| 49 | LC 347 Top K Frequent Elements | Medium | Heap | All |
| 50 | LC 973 K Closest Points to Origin | Medium | Heap | Meta, Amazon |
Tier 3 — The Final 25 (Polish)
These 25 cover specific archetypes that come up at L5+ or in company-specific contexts.
| # | Problem | Difficulty | Pattern | Top Company |
|---|---|---|---|---|
| 51 | LC 51 N-Queens | Hard | Backtracking | Apple |
| 52 | LC 39 Combination Sum | Medium | Backtracking | Meta |
| 53 | LC 46 Permutations | Medium | Backtracking | All |
| 54 | LC 78 Subsets | Medium | Backtracking | All |
| 55 | LC 79 Word Search | Medium | DFS Backtracking | Amazon |
| 56 | LC 212 Word Search II | Hard | Trie + DFS | Meta, Amazon |
| 57 | LC 208 Implement Trie | Medium | Trie | All |
| 58 | LC 211 Add and Search Word | Medium | Trie | Amazon |
| 59 | LC 295 Median Stream (covered above) | — | — | — |
| 60 | LC 84 Largest Rectangle in Histogram | Hard | Monotonic Stack | Amazon |
| 61 | LC 739 Daily Temperatures | Medium | Monotonic Stack | Amazon |
| 62 | LC 31 Next Permutation | Medium | Array Manip | Meta |
| 63 | LC 48 Rotate Image | Medium | Matrix | Amazon |
| 64 | LC 54 Spiral Matrix | Medium | Matrix | Microsoft (FAANG-adj) |
| 65 | LC 73 Set Matrix Zeroes | Medium | Matrix | Amazon |
| 66 | LC 138 Copy List with Random Pointer | Medium | Hash + LL | Amazon |
| 67 | LC 25 Reverse Nodes in K-Group | Hard | Linked List | Meta |
| 68 | LC 92 Reverse Linked List II | Medium | Linked List | Amazon |
| 69 | LC 19 Remove Nth From End | Medium | Two Pointers (Fast/Slow) | All |
| 70 | LC 297 Serialize and Deserialize BT | Hard | Tree | Meta, Google |
| 71 | LC 124 Binary Tree Max Path Sum | Hard | Tree DFS | Meta |
| 72 | LC 230 Kth Smallest in BST | Medium | Tree | Amazon |
| 73 | LC 105 Build Tree Pre+Inorder | Medium | Tree | Meta |
| 74 | LC 199 Binary Tree Right Side View | Medium | BFS | Meta |
| 75 | LC 114 Flatten BT to Linked List | Medium | Tree | Microsoft |
Why this list beats the original Blind 75
Three differences from the 2020 original:
- Frequency-ranked, not opinionated. Tier 1 is sorted by actual ask-rate, not by what one engineer thought was important.
- AI-aware updates. Several problems removed because they're AI-trivial and no longer differentiate. The original list had "Fizz Buzz" as a warmup. That's no longer a 2026 problem.
- Company tags. Each problem has its primary FAANG company so you can prioritize for your target.
Practice plan
Three-month plan if you have 12-15 hours/week:
- Month 1: Tier 1 (25 problems). 5-6 problems/week. Solve in target time, then re-do cold the next day to lock in.
- Month 2: Tier 2 (25 problems). Same cadence.
- Month 3: Tier 3 (25 problems) + spaced repetition on Tier 1+2. By end of month 3, you should be able to solve any Tier 1 problem in under 20 minutes including dry run.
Target times by tier
The interviewer expectations in 2026 (from What Changed in FAANG Interviews After ChatGPT):
| Tier | Easy target | Medium target | Hard target |
|---|---|---|---|
| Tier 1 | 12 min | 22 min | 38 min |
| Tier 2 | 14 min | 25 min | 42 min |
| Tier 3 | 15 min | 28 min | 45 min |
Consistently exceed these times by 50%+? The issue is pattern fluency, not raw speed. Re-read the relevant pattern guide (Sliding Window, Binary Search, DP, or the 23 patterns hub) and re-do the problem after.
How to use this list with company-specific prep
Applying to a specific company? Filter by the "Top Company" column and prioritize:
- Google: focus on LC 200, 23, 295, 4, 269, 547, 684, 73, 297, 199.
- Meta: focus on LC 76, 235, 236, 23, 567, 424, 239, 153, 31, 92, 297, 124, 105, 199.
- Amazon: focus on LC 76, 53, 322, 33, 198, 5, 42, 215, 973, 695, 994, 84, 138, 25, 230. Plus heavy Leadership Principles work.
- Apple: focus on LC 51, plus the standard Tier 1 + UI-domain knowledge.
For deeper company-specific guidance: Google Coding Interview Questions 2026, Meta Coding Interview Questions 2026.
What got cut from the original Blind 75
Several Blind 75 originals dropped from this list because they're no longer high-frequency:
- LC 252 Meeting Rooms. Too easy, displaced by LC 56.
- LC 261 Graph Valid Tree. Replaced by Course Schedule variants.
- LC 416 still relevant (kept).
- LC 152 Maximum Product Subarray. Dropped at Google specifically. Replaced by LC 53 + LC 198.
- LC 268 Missing Number. Too AI-trivial.
FAQ
Is this list better than NeetCode 150? Different. NeetCode 150 is broader (more breadth, less frequency-weighted). This list is narrower and frequency-weighted. Use NeetCode for breadth, this for prioritization. See Blind 75 vs NeetCode 150 vs Grind 75.
Should I solve all 75 even if I have only 4 weeks? No. Solve Tier 1 only. 25 problems in 4 weeks is realistic.
I'm a senior candidate (L5+) — does this list still apply? Yes, but the order matters more for you than for L3-L4. See The 60-Question Blind 75 Sequencing for FAANG L4-L7 for the pattern-first reorder calibrated to staff and senior bars.
How many of these will actually appear in my onsite? 3-6 across a 4-round technical loop. The list covers the space. The interviewer picks 1-2 per round.
Are these problems leaked? Most are public LeetCode problems with company tags. Companies rotate to fresh variants. The underlying pattern stays.
The verdict
The top 75 by frequency, organized by pattern and company, with target times. This is the smarter Blind 75 for the 2026 FAANG bar. Solve the patterns, not just the problems.
If you found this useful, FaangCoder helps candidates iterate to optimal solutions in real interviews. That includes all 75 problems on this list. $399 lifetime ($199/mo monthly option). See the Solve demo, or join the Discord to talk to other candidates working through the list.