Highspot coding interview
questions, leaked.
2 problems reported across recent Highspot interviews. Top patterns: hash table, linked list, design. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Highspot's coding assessment is lean but brutal. Two problems, both medium difficulty, and they're not warm-ups. You're looking at LRU Cache, a classic systems design trap that catches candidates off guard, and Basic Calculator II, which requires you to parse and compute on the fly. No easy problems to build momentum. StealthCoder runs invisibly during your assessment and surfaces working solutions if you hit a wall on either one. The data is thin here, which means the two problems they ask carry real weight. Get these right and you move forward.
Top problems at Highspot
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | LRU Cache | MEDIUM | 100.0 | 45% | Hash Table · Linked List · Design |
| 02 | Basic Calculator II | MEDIUM | 100.0 | 46% | Math · String · Stack |
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 Highspot OA. The proctor cannot see it. Screen share cannot detect it. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too.
Get StealthCoder- hash table1 · 50%
- linked list1 · 50%
- design1 · 50%
- doubly linked list1 · 50%
- math1 · 50%
- string1 · 50%
- stack1 · 50%
The problem set splits cleanly: one design-heavy (LRU Cache across hash-table, linked-list, and doubly-linked-list), one math-and-parsing heavy (Basic Calculator II with string and stack work). Neither is a gotcha once you've seen the pattern, but both demand clean implementation under time pressure. The design problem will test your ability to balance data structures for O(1) operations on both get and put. The calculator problem tests your string parsing and operator precedence logic. Both are medium, so Highspot expects you to solve them completely, not half-solve or brute-force. If you blank on doubly-linked-list manipulation mid-OA, StealthCoder solves it in seconds invisible to the proctor. Study the cache eviction logic first, then stack-based expression parsing. The topics are spread across seven areas, but they cluster around two problems, so your prep should be surgical, not scattered.
Companies with similar patterns
If you prepped for Highspot, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Highspot.
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. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Highspot interview FAQ
How many linked-list problems should I solve before a Highspot OA?+
One of the two problems is LRU Cache, which requires solid doubly-linked-list manipulation. Study node insertion, deletion, and pointer updates until you can implement it without looking at notes. One or two dry-runs on paper are enough if you understand the mechanics.
Is stack knowledge required for Highspot?+
Yes. Basic Calculator II uses a stack to handle operator precedence and number building. You need to know how to push, pop, and peek efficiently. Practice string parsing and stack patterns together, not separately.
Should I study hash-table separately from the LRU Cache problem?+
No. The hash-table here is just a component of LRU Cache design. Study it as part of the cache problem. Knowing what a hash-table is isn't enough; you need to understand why it pairs with a doubly-linked-list for O(1) operations.
Can I solve these problems in any language?+
The input doesn't specify a language constraint. Use what you're fastest in. Both problems have straightforward logic in Python, Java, or C++, so don't switch languages to practice them unless you have to.
What should I drill first for Highspot?+
Start with LRU Cache. It's more complex, requires multiple data structures working together, and forces you to think about design tradeoffs. Basic Calculator II is harder to mess up once you know the stack pattern. Cache first, calculator second.