Houzz coding interview
questions, leaked.
2 problems reported across recent Houzz interviews. Top patterns: math, string, stack. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Houzz's interview is math-heavy and unforgiving. You're looking at two reported problems, both hard, both leaning on math patterns that don't show up in typical LeetCode grinding. Basic Calculator III demands you parse and evaluate expressions with operator precedence and parentheses. Remove 9 is a pure math problem that requires insight most candidates don't have. This is the kind of interview where you either see the pattern or you're stuck. If you freeze mid-OA on the math logic, StealthCoder runs invisibly and surfaces a working solution while you stay in control.
Top problems at Houzz
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Basic Calculator III | HARD | 100.0 | 52% | Math · String · Stack |
| 02 | Remove 9 | HARD | 100.0 | 57% | Math |
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 Houzz OA. The proctor cannot see it. Screen share cannot detect it. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE.
Get StealthCoderMath appears in every problem reported from Houzz, so your primary study target is locked. String, stack, and recursion cluster around the calculator problem, which is the likely centerpiece of their technical screen. The two hard-only difficulty distribution means there's no warm-up easy problem to build confidence. You're walking into the deep end immediately. Calculator III especially requires you to handle nested parentheses, operator precedence, and possibly floating-point arithmetic all at once. Remove 9 is the outlier that tests mathematical reasoning rather than implementation speed. If you haven't drilled expression parsing before, that's where StealthCoder becomes your safety net on the live OA. You can't fake these patterns under time pressure.
Companies with similar patterns
If you prepped for Houzz, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Houzz.
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 a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Houzz interview FAQ
Should I study math first for Houzz, or start with string/stack problems?+
Math first. It appears in 100 percent of reported problems here. Basic Calculator III is the likely centerpiece, so prioritize expression parsing and operator precedence. Once you're solid on the math logic, the stack and string mechanics follow naturally.
Is two problems enough data to prepare for the Houzz interview?+
No, but it's a signal. Both are hard and math-focused, so that's your bias. Expect similar difficulty and conceptual depth. Don't expect an easy warm-up problem. Study the patterns these two drill, then be ready for variations on the same themes.
Do I need to know recursion for Houzz?+
It's mentioned once in the reported data, tied to the calculator problem. Recursion is a natural fit for parsing nested expressions, so understand how to build recursive descent parsers. It's not a standalone focus, but don't skip it.
What's the hardest part of Basic Calculator III to prep?+
Handling operator precedence and parentheses simultaneously. Most candidates either manage one or the other, not both. Build a solution that respects precedence rules and correctly evaluates nested expressions. Test edge cases aggressively before your OA.
What is Remove 9 actually testing?+
Pure mathematical insight. It's not a simulation or brute-force problem. You need to understand the underlying math to solve it efficiently. This is where pattern recognition beats coding speed. Study similar math-based problems to build intuition for this category.