Twitch coding interview
questions, leaked.
8 problems reported across recent Twitch interviews. Top patterns: hash table, design, string. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Twitch's coding interview hits you with 8 problems across a tight distribution: half are medium, three are easy, one is hard. Hash tables dominate (half the problems), followed by design and string manipulation. You're looking at a mix of classic data-structure work (LRU Cache, median-from-stream) and real-time system design (file sharing, session tracking). The gap between easy and hard is real. If you blank mid-assessment on a hash-table pattern or heap-priority queue problem, StealthCoder runs invisible during your screen share and surfaces a working solution in seconds. Your edge isn't grinding all eight; it's being sharp on what actually repeats.
Top problems at Twitch
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Design a File Sharing System | MEDIUM | 100.0 | 42% | Hash Table · Design · Sorting |
| 02 | Create a Session Bar Chart | EASY | 100.0 | 75% | Database |
| 03 | Toss Strange Coins | MEDIUM | 100.0 | 58% | Array · Math · Dynamic Programming |
| 04 | LRU Cache | MEDIUM | 92.1 | 45% | Hash Table · Linked List · Design |
| 05 | Find Median from Data Stream | HARD | 64.4 | 53% | Two Pointers · Design · Sorting |
| 06 | Letter Combinations of a Phone Number | MEDIUM | 64.4 | 64% | Hash Table · String · Backtracking |
| 07 | Reverse Vowels of a String | EASY | 64.4 | 58% | Two Pointers · String |
| 08 | Unique Email Addresses | EASY | 64.4 | 68% | Array · Hash Table · String |
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 Twitch OA. The proctor cannot see it. Screen share cannot detect it. Built by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code.
Get StealthCoder- hash table4 · 50%
- design3 · 38%
- string3 · 38%
- two pointers2 · 25%
- sorting2 · 25%
- heap priority queue2 · 25%
- data stream2 · 25%
- array2 · 25%
- linked list1 · 13%
- doubly linked list1 · 13%
Hash tables appear in four of eight problems, making them your first target. Design questions follow close behind (three problems), and they're not cute ones like 'design a parking lot'. You're building actual streaming systems: file sharing with sorting and heaps, session tracking with databases. Strings and arrays round out the medium tier. Two-pointers, sorting, and heap-priority queue each hit twice, so you'll see them cross-pollinate (the median problem bundles three of these). The easy tier (3 problems) is a soft warm-up: letter reversal, email cleaning, coin tossing. Don't skip them, but they're confidence builders, not surprises. The single hard problem, median-from-data-stream, is where most candidates choke because it demands both heap intuition and real-time streaming logic. StealthCoder is your hedge there: if the heap construction stalls you live, it solves it invisibly while you think through the next step.
Companies with similar patterns
If you prepped for Twitch, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Twitch.
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 by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Twitch interview FAQ
Should I spend more time on hash tables or design for Twitch?+
Both. Hash tables appear in 50% of their problems, so drill collision handling and custom hash implementations hard. But design isn't a nice-to-have: three of eight problems require system thinking (LRU Cache, file sharing, session charts). Hit hash tables first (faster ROI), then design patterns. You need both locked in.
How much time should I spend on the hard problem (median from data stream)?+
Don't skip it, but don't over-invest either. It's 1 of 8, so it's not the bottleneck. Understand heaps, two-pointer median logic, and why you need two heaps. If you hit the wall during your real OA, that's exactly when StealthCoder saves you 15 minutes.
Are the easy problems worth drilling?+
Yes. Three of eight are easy, and they're designed to build momentum. Reverse Vowels and Unique Email Addresses are hash-table and string fundamentals. You should solve these in under 5 minutes each during practice. They're your confidence builders, not your weak spot.
What if I'm weak on design questions?+
Design appears in 3 of 8 problems here. Spend real time on LRU Cache first (combines hash tables with doubly-linked lists), then study file sharing system architecture. Design problems reward pattern recognition and API thinking more than raw coding. Practice whiteboarding the structure before you code.
Do I need to know databases for this interview?+
One problem (Create a Session Bar Chart) touches databases, so it's not a deep dive. You need to understand how to aggregate time-series data and query efficiently. If SQL is shaky, focus on your hash-table and design prep first. This is a bonus topic, not a gating one.