Product Tour

See exactly how returnzero_ works.

See how returnzero works - learn the concepts, practice in an in-browser sandbox, run a system design mock interview, and lock it in with spaced-repetition review.

One loop, four moves: learn the concept, practice it in a real sandbox, defend it in a live mock interview, and keep it with spaced repetition. Every tool runs right in your browser.

Try It

Run every tool yourself

Run code against a test suite, flip a review card, drive a mock interview, and see your plan on the dashboard.

Open the dashboard
credit_tracker.py
Python
1def credit_tracker(events):
2 # Track allocations and client accounts
3 credits = {}
4 for ev in events:
5 if ev["type"] == "allocate":
6 credits[ev["client"]] = credits.get(ev["client"], 0) + ev["amount"]
7 elif ev["type"] == "consume":
8 current = credits.get(ev["client"], 0)
9 if current >= ev["amount"]:
10 credits[ev["client"]] = current - ev["amount"]
11 return credits
Test Results

Run the tests to verify the implementation.

The Loop

Learn, practice, interview, review

Every track runs on the same four steps - learn the concept, build it in code, defend it in a mock interview, and keep it with spaced repetition.

01

Learn the concepts

Start from deep breakdowns - mobile and backend system design, AI engineering, infrastructure, and DSA - with the real trade-offs and capacity math worked end to end.

02

Practice in the sandbox

Solve build-style challenges in an in-browser editor. Write code, run the real test suite, and iterate - Python, JavaScript, and TypeScript, no setup.

03

Run a mock interview

A live AI interviewer runs a full round: clarify the problem, code your solution, then defend complexity and edge cases - and get a written performance summary.

04

Lock it in with review

Active-recall cards scheduled by the SM-2 algorithm resurface what you're about to forget, so the concepts stick past interview day.

Know What's Graded

See the interviewer's own scorecard

Every coding challenge ships an interviewer guide - the signals they look for, the green / yellow / red flags, and the 1-5 rubric. Stop guessing what good looks like.

Open a sample guide

Signals the interviewer looks for

Green
  • Names the delimiter problem unprompted before writing any code (any character can appear in the strings, so I can't use a fixed delimiter)
  • Describes length-prefix framing in one sentence and starts coding immediately
  • Recognizes that Level 2's adversarial inputs need no code change - the length-prefix scheme already handles them
Yellow
  • Proposes a delimiter scheme first but pivots quickly to length-prefix after one question
  • Implements length-prefix correctly but adds unnecessary escaping for the colon character
  • Uses str.split(":", 1) in the decoder - works for simple cases but fails when the payload starts with a string like "5:hello"
Red
  • Proposes a delimiter scheme and adds escaping instead of switching to length-prefix after the delimiter problem is pointed out
  • Uses len(s.encode("utf-8")) as the length prefix - counts bytes, not characters; breaks for multi-byte unicode
  • Implements decode with split and assumes the colon separator is unique in the payload

Scored 1 - 5 on five dimensions

Approach clarityCorrectnessCode qualityEdge case handlingComplexity analysis
Approach clarity
5

Named the delimiter problem and length-prefix solution before writing any code. No prompting required.

1

Still proposing delimiter + escaping after all hints; never arrived at a clean length-prefix decoder.

Excerpt from the Encode and Decode Strings interviewer guide.

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