Flexport coding interview
questions, leaked.
10 problems reported across recent Flexport interviews. Top patterns: array, string, hash table. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Flexport's assessment is all medium difficulty, no easy gimmes, no hard curveballs. Ten problems to solve, and they're drilling arrays (five times), strings (four), hash tables (four), and binary search (four). You won't see a single easy problem to build momentum. If you blank on a sliding-window or binary-search variant mid-OA, StealthCoder runs invisibly and surfaces a working solution in seconds. The strategy here is simple: arrays and strings are your bread and butter. Know them cold.
Top problems at Flexport
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Decode String | MEDIUM | 100.0 | 61% | String · Stack · Recursion |
| 02 | Clone Graph | MEDIUM | 98.1 | 62% | Hash Table · Depth-First Search · Breadth-First Search |
| 03 | Time Based Key-Value Store | MEDIUM | 96.1 | 49% | Hash Table · String · Binary Search |
| 04 | Letter Combinations of a Phone Number | MEDIUM | 85.0 | 64% | Hash Table · String · Backtracking |
| 05 | My Calendar I | MEDIUM | 85.0 | 58% | Array · Binary Search · Design |
| 06 | Bag of Tokens | MEDIUM | 70.0 | 59% | Array · Two Pointers · Greedy |
| 07 | Validate IP Address | MEDIUM | 61.2 | 28% | String |
| 08 | Count Zero Request Servers | MEDIUM | 61.2 | 34% | Array · Hash Table · Sliding Window |
| 09 | Subarray Product Less Than K | MEDIUM | 61.2 | 53% | Array · Binary Search · Sliding Window |
| 10 | Longest Increasing Subsequence | MEDIUM | 61.2 | 58% | Array · Binary Search · Dynamic Programming |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Flexport OA. The proctor cannot see it. Screen share cannot detect it. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround.
Get StealthCoder- array5 · 50%
- string4 · 40%
- hash table4 · 40%
- binary search4 · 40%
- design2 · 20%
- sorting2 · 20%
- sliding window2 · 20%
- stack1 · 10%
- recursion1 · 10%
- depth first search1 · 10%
Arrays dominate the assessment at 50 percent of the problem set. Strings appear in nearly half. Hash tables, binary search, and design patterns split the remaining load. The problems aren't theoretical. Decode String mixes recursion and stacks. Clone Graph tests your graph traversal. Time Based Key-Value Store combines hashing, string keys, and binary search for lookups. Bag of Tokens uses two pointers and greedy thinking on arrays. You need sliding-window and two-pointer fluency on arrays and strings before the OA. Binary search isn't just searching. It's a tool for time-based queries and sorted-order problems like My Calendar I and Subarray Product Less Than K. If you hit a wall on design or advanced recursion, StealthCoder is your hedge for the live assessment.
Companies with similar patterns
If you prepped for Flexport, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Flexport.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Flexport interview FAQ
Should I study arrays or strings first for Flexport?+
Arrays. Five of the ten problems involve arrays directly, and they're not simple iteration. Bag of Tokens, My Calendar I, and Subarray Product Less Than K all require two-pointer, binary-search, or sliding-window thinking on arrays. Strings are next, appearing in four problems, often paired with hash tables or stacks.
Is binary search worth drilling heavily?+
Yes. Binary search appears in four problems: Time Based Key-Value Store, My Calendar I, Subarray Product Less Than K, and Longest Increasing Subsequence. At Flexport, it's not just classic binary search. It's embedded in design problems and optimization tricks. Know lower-bound and upper-bound variants cold.
How much time should I spend on graph problems?+
Clone Graph is in the top ten, but it's one problem. Spend 20 to 30 percent of your time on graph traversal, DFS, and BFS basics. Flexport asks graphs but doesn't overweight them. Focus array and string fundamentals first, then graph patterns.
Will I see easy problems to warm up?+
No. All ten problems are medium. There's no warm-up round. You walk in cold and solve a medium problem immediately. Your first problem is likely a two-pointer array challenge or a string parsing task. No time to find your rhythm. Drill until medium feels natural.
What if I blank on a design problem like Time Based Key-Value Store?+
Design problems at Flexport pair data structures with query optimization. If you freeze on the binary-search lookup step or the hash-table layout, you're stuck. StealthCoder is your safety net in the live OA, invisible to the proctor and ready with a working solution.