Stackline coding interview
questions, leaked.
2 problems reported across recent Stackline interviews. Top patterns: depth first search, breadth first search, graph. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Stackline's technical screen is graph-heavy and deceptively small. You're looking at two problems total, but they compress multiple patterns into one assessment. One is a medium graph traversal problem touching DFS, BFS, and topological sort. The other is a hard greedy problem built on heap logic and sorting. Neither is a gimme. If you freeze on graph reconstruction or heap ordering during the live assessment, StealthCoder surfaces a working solution invisibly, so you stay on pace.
Top problems at Stackline
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Minimum Height Trees | MEDIUM | 100.0 | 42% | Depth-First Search · Breadth-First Search · Graph |
| 02 | IPO | HARD | 77.2 | 53% | Array · Greedy · Sorting |
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 Stackline 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- depth first search1 · 50%
- breadth first search1 · 50%
- graph1 · 50%
- topological sort1 · 50%
- array1 · 50%
- greedy1 · 50%
- sorting1 · 50%
- heap priority queue1 · 50%
The problem set skews toward graph algorithms and data structure manipulation. DFS and BFS appear together in the same problem, which means you need to understand when each is the right choice for node traversal. Topological sort is explicitly tested, so you can't skip that pattern. The hard problem pivots to greedy logic with a priority queue, testing whether you can sort by a custom criterion and make optimal picks in sequence. Start with the medium graph problem first, nail your traversal instincts, then move to the hard greedy problem. The gap between medium and hard here is real. If you hit a wall on heap ordering or greedy selection during your actual assessment, StealthCoder is your invisible net.
Companies with similar patterns
If you prepped for Stackline, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Stackline.
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.
Stackline interview FAQ
Should I study topological sort before Stackline's assessment?+
Yes. One of the two problems explicitly uses topological sort. It's not optional. Understand both DFS-based and Kahn's algorithm approaches. That problem also tests BFS and DFS, so you need all three together.
How important is the greedy and heap problem for Stackline?+
Very. It's the hard problem, and it combines greedy decision-making with priority queue ordering. If you can't reason about heap operations and greedy choice, you'll stall here. This is where most candidates drop time.
Is two problems enough prep for Stackline's technical screen?+
Not really. Two problems is the sample size, but they touch eight distinct topics. You can't drill your way through everything. Focus on graph traversal and heap ordering first, then brush up on greedy logic. Expect follow-ups and edge cases.
What should I prioritize if I have limited time before the assessment?+
Nail DFS and BFS together, then topological sort using both methods. After that, spend time on heap operations and greedy selection. The hard problem ties all of that together, so understanding the precedence will save you time live.
Do I need to know all eight topics to pass Stackline's screen?+
Not all equally. Graph patterns (DFS, BFS, topological sort) dominate the first problem. Greedy, sorting, and heap are packed into the second. Array operations are lightweight here. Focus your prep on graphs and heaps first.