Ace your next engineering interview.With prep you'll actually remember.

Learn system design & DSA through real-life intuition, practice in an in-browser judge across four languages, and rehearse with a live AI interviewer that scores you like the real thing.

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Two SumEasy
EditorialDescriptionSubmissions
Intuition

Keep a guest book at the door. As each guest arrives with number x, ask: “has someone with 9 - x already signed in?”

Dry run
inumseenaction
02{}store 2→0
17{2:0}→ [0,1] ✓
PythonJavaScriptC++Go
def twoSum(nums, target):
    seen = {}
    for i, n in enumerate(nums):
        if target - n in seen:
            return [seen[target - n], i]
        seen[n] = i
Accepted8 / 8 tests · 41ms

Prep for interviews at companies like

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The ThyncLabs method

Most prep makes you memorize.We make it impossible to forget.

People forget algorithms. They never forget a good story. So every problem is taught the way it actually sticks — analogy first, then the mechanics, then the code.

01

Start with intuition

Every solution opens with a real-life analogy. You forget seen[target − n]. You never forget the guest book at the door.

02

Watch it run

Step through a worked example with a visual dry-run — see the data structure fill in, line by line, until the answer falls out.

03

Then write it for real

Implement it in the browser in Python, JavaScript, C++ or Go — and get an instant verdict from a real judge.

Three weeks later, you won't remember the exact code. You'll remember the guest book — and rebuild the code from it, live, in the room.

See it on a real problem
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AI Interviewer

Live session

23:14
Let's design a URL shortener like bit.ly. Start by clarifying requirements — what's our target scale?
100M URLs stored, ~500M redirects per day. Reads must be sub-10ms.
Good. That's ~5,800 read QPS. How would you generate short codes, and what are the trade-offs of each approach?
I'd use base62 encoding of an auto-incremented ID from the DB…
Your response…
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