AceStack
Beta access
AceStack AI private beta

Ace the loop. Stack the prep that gets you there.

AceStack turns a target role into the actual prep workspace: likely rounds, matching tasks, runnable widgets, and one clear next move.

Request beta accessSee real widgets
Know the rounds before you start practicing.
Use the right widget for code, voice, SQL, systems, and stories.
Leave every attempt with one clear next drill.

AceStack AI

AI Interview OS

AS
Explore setup

Build a prep path from the job you want.

TargetSenior Backend
CompanyBig Tech
Timeline14 days
Live preview

Code against the pattern this round is likely to test

The implementation direction is clear. Tighten concurrency handling and rehearse the atomic update boundary before moving on.

Readiness

68%

Token Bucket Rate Limiter

42 min - 68% pass rate

Queued
CodingConcurrencyBackend

Notification Service Design

55 min - system design

Add
ScaleQueuesFailure

Ownership Story Rewrite

18 min - behavioral

Add
STARImpactSeniority
The problem

Interview prep feels busy until the real round exposes the gap.

The hard part is not finding more questions. It is knowing which round is coming, what signal it tests, and which rep will improve that signal today.

Old way

Scattered prep

1

You guess the interview loop from blogs, notes, and old advice.

2

Coding, HR, systems, SQL, and stories live in separate tabs.

3

You measure effort by hours spent, not by readiness for the next round.

AceStack way

Stacked prep

1

Start with the target role and generate the likely round map.

2

Open the right widget for the round: code, voice, SQL, systems, or story.

3

Turn each attempt into the next gap, drill, and readiness signal.

Product flow

Stack the prep in the order the interview happens.

The flow is intentionally simple: target, loop, practice, feedback. No giant library. No vague dashboard.

Selected layer

Loop

No more guessing the loop
Input

Recruiter, coding, system design, behavioral

Output

A round map with priorities

What the user understands

No more guessing the loop. The next action is visible before the candidate starts another random session.

Real task runner

The round changes. The workspace changes with it.

This is the interface users should understand immediately: voice for screening, an editor for coding, a canvas for system design, and a story builder for behavioral.

Coding

Code against the pattern this round is likely to test

08:42/ 45:00
DescriptionHintsAttempts

Token Bucket Rate Limiter

Medium-Coding-Backend

Implement a per-user rate limiter. Support refill timing, burst traffic, and concurrent requests.

Input: user_id, timestamp

Output: allow / reject

Trains

Edge cases, state, concurrency, and production trade-offs.

Signal

Can code cleanly and explain atomic updates.

solution.pytests.pyfeedback.md
Python
class TokenBucket:
def allow_request(self, user_id, now):
bucket = self.load(user_id)
bucket.refill(now)
# add atomic commit before submit
return bucket.try_consume()
Burst passedRefill passedConcurrency gap
FAQ

Straight answers before beta access.

What AceStack covers, who it is for, and why the public app can stay gated while the landing is live.

You enter the target role, level, company type, and interview date. AceStack generates the likely interview loop, picks the right practice workspace for each round, and turns every attempt into a next drill.

Build the prep stack before the interview calendar gets loud.

AceStack gives candidates a round map, real practice widgets, and a clear next drill for the role they actually want.

Request beta access