Practice the OA
companies are actually sending.
Company-scoped online assessments from 220 companies, tagged by cohort and wired into a real editor with runnable tests. Stop guessing which topic list matches Stripe this quarter.
Implement allow(ts) returning True if a request is permitted at unix ms ts for r req/s with burst up to b.
class RateLimiter: def __init__(self, r, b): self.r, self.b = r, b self.tokens, self.last = b, 0 def allow(self, ts): # refill since last call self.tokens = min(self.b, self.tokens + (ts - self.last) * self.r) self.last = ts return self.tokens >= 1
Browse by the company you are applying to.
Every problem is tagged with company and cohort, so practice follows your target list instead of a generic topic shuffle.
Scope / Solve / Review.
Three minutes inside the bank.
Mapped to the structures companies actually ask.
Pattern heat reflects how often this quarter's OAs use it.
The bank knows what is being asked right now.
When tracked inboxes start seeing Stripe OAs land, the Q3 set surfaces to the top. You practice this quarter's questions, not the ones that were popular in 2019.
- Problems get a HOT mark when an OA spikes in tracked inboxes.
- Each company set is dated and prioritized by freshness.
- Frozen cohorts drop in priority so you do not waste reps.
Practice by target, not by folklore.
| FastPrep | Generic question banks | |
|---|---|---|
| Company cohort tagging | Y | ~ |
| Runnable editor + hidden tests | Y | ~ |
| Hiring-signal prioritization | Y | - |
| Post-pass approach review | Y | ~ |
Practice the set before it hits you.
Open the bank, pick your target company, and run the exact style of OA you are likely to see this week.