Prepare for Nextdoor technical interviews with 9 tracked LeetCode questions, sortable by difficulty and topic.
| Title | Difficulty | Topics | Frequency | LeetCode |
|---|---|---|---|---|
| Merge Intervals | Medium | 55.3% | Solve | |
| Letter Combinations of a Phone Number | Medium | 55.1% | Solve | |
| Trapping Rain Water | Hard | 53.4% | Solve | |
| Nested List Weight Sum | Medium | 52.5% | Solve | |
| All O`one Data Structure | Hard | 50% | Solve | |
| Compare Version Numbers | Medium | 48.5% | Solve | |
| Divide Two Integers | Medium | 45.2% | Solve | |
| All O`one Data Structure | Hard | 44.8% | Solve | |
| Time Based Key-Value Store | Medium | 36.3% | Solve |
9 questions total
Company analytics
Questions tracked
9
Questions currently linked to Nextdoor
Topics represented
17
Distinct topics visible in this company set
Dominant difficulty
medium
67% of tracked questions
Avg frequency score
49.0
Mean frequency across this company question set
Nextdoor currently has 9 tracked questions linked to 17 topics, so this page is a good benchmark for how deep the dataset goes on one employer.
The most common topics for Nextdoor include Hash Table, Design, String, and Array. Hash Table alone appears 4 times in the visible topic distribution. That topic spread helps you identify whether this company is repeating a few patterns or testing across a broader surface area.
The current question set averages a frequency score of 49.0, and medium is the dominant difficulty bucket at 67% of tracked coverage. That makes it easier to decide whether to practice for repetition, complexity, or both.
Nextdoor related paths
This section answers the most practical questions about using the Nextdoor route as a company-specific LeetCode study page.
Start with the highest-frequency questions inside Hash Table, Design, and String, then sort the table by frequency to build a shortlist. That gives you a faster first pass through Nextdoor's interview patterns than trying to cover every linked problem at once.
medium makes up 67% of the tracked Nextdoor question set. Use that split to decide whether your study plan should emphasize coverage, realistic interview pressure, or deeper problem solving.
Use this page to identify Nextdoor's strongest topic signal, then open Hash Table and the global most-asked or questions explorer routes to see whether that company-specific pattern is also common across the wider dataset.
