Reported + researched questions
Interview LoopQuestion bank updated as interview loops change
Stop guessing. Discover 2,215 real questions before your big interview.
Current, company-specific question banks for engineering, ML, leadership, and product—paired with timed mocks where your code actually runs.
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solution.py
class TokenBucket:
def allow(self, tokens):
now = time.monotonic()
self.refill(now)
if self.balance < tokens:
return False
self.balance -= tokens
return True✓
Burst trafficPassed in 18 ms
✓
Concurrent refillPassed in 24 ms
✓
Clock driftPassed in 11 ms
Built for the companies candidates are chasing now
OpenAIAnthropicGoogleMetaAmazonAppleNetflixStripeDatabricksThinking MachinesPhysical IntelligenceMicrosoft
The wedge
A question bank that behaves like a practice room.
Reading questions is not preparation. Work through the real format, run the answer, and see what breaks before the interview does.Mocks with running code
Practice in an editor, not in your imagination.
Write Python or JavaScript, execute it in the browser, run reference tests, use a real timer, and inspect the failure—not a sample answer.Current by design
Prep for this hiring cycle, not the last one.
Question sets are revised as company products, interview loops, and candidate reports change. Source notes stay attached to the practice.For product candidates
PM prep for companies moving too fast for generic frameworks.
Company-specific product sense, strategy, metrics, execution, technical fluency, and leadership questions—with worked guides that help you build a sharp answer without memorizing one.Practice product questionsOpenAI · Product Management157 questions
Product sense
Design a safe first-run experience for an agent that can take actions.
→Strategy
Should a frontier-model company build vertical applications or stay horizontal?
→Metrics
Define success for a reasoning model beyond benchmark performance.
→Execution
A launch doubles usage and triples latency. What do you do in the first hour?
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