Not another video course. Crackr AI gives you a problem, listens to your approach, watches you code, and tells you exactly where you need to improve.
1 free session. No credit card.
Four steps. Fifteen minutes. Real feedback.
Choose a data structure or algorithm you want to practice. The AI selects a problem that matches the difficulty you need.
The AI interviewer asks you to explain your approach before you code. Just like a real interview, thinking out loud matters.
Code in a real editor with syntax highlighting. The AI watches your progress and nudges you if you go off track.
After the session, you get a detailed breakdown: problem-solving approach, code quality, communication, and what to work on next.
From easy array problems to hard graph and DP questions. Pick a weak spot, the AI builds a session around it.
Arrays & Strings
Two pointers, sliding window, prefix sums
Linked Lists
Reversal, cycle detection, merge
Stacks & Queues
Monotonic stack, BFS, valid parentheses
Hash Maps
Two sum, grouping, frequency counting
Binary Trees & BSTs
Traversals, LCA, validate BST
Heaps
Top-K, merge K lists, median stream
Graphs
BFS, DFS, Dijkstra, topological sort
Dynamic Programming
Knapsack, LCS, coin change, intervals
Backtracking
Permutations, subsets, N-queens
Greedy
Intervals, scheduling, Huffman coding
Sorting & Searching
Binary search, quicksort, merge sort
Tries & Advanced
Prefix trees, union-find, segment trees
You can. Plenty of people do. But here is the thing most people figure out too late: solving problems alone at your desk and solving them in front of an interviewer are two completely different skills.
In a real interview you have to talk while you think. You have to explain why you chose a hash map over a sorted array. You have to handle “what if the input is empty?” on the spot. You have to stay calm when your first approach doesn't work and pivot to a better one.
LeetCode doesn't train any of that. Neither do YouTube videos, textbooks, or flashcards. The only thing that trains interview performance is doing interviews.
That's what Crackr does. It puts you in the seat, gives you a problem, and makes you perform. Then it tells you exactly what you did well and what you didn't. You learn faster because the feedback is immediate, specific, and honest.
| Method | Teaches concepts | Tests you | Interview practice |
|---|---|---|---|
| YouTube / courses | Yes | No | No |
| Textbooks | Yes | Partially | No |
| LeetCode solo | Partially | Yes | No |
| Peer mock interviews | No | Yes | Somewhat |
| Crackr AI tutor | Yes | Yes | Yes |
Talk through your approach like a real interview. The AI listens, asks follow-ups, and pushes back when your reasoning has gaps.
Full editor with syntax highlighting. Write real code in Python, Java, C++, JavaScript, Go, or Rust.
The AI won't just watch you struggle. It gives progressively stronger hints, the same way a good interviewer would.
Pick your session length. Quick 15-minute drills or full 60-minute deep dives. Fits around your schedule.
After every session: problem-solving score, code quality, communication rating, and specific notes on what to fix.
Credits never expire. Come back tomorrow or next month. Practice the same topic until you own it.
Pricing
$1
per session
No subscription. Credits never expire.
First interview free, no card needed
Before your session, brush up on the fundamentals. These interactive tools let you see how data structures work under the hood.
Crackr AI gives you a coding problem, then conducts a real interview over voice. You talk through your approach, write code in a live editor, and the AI asks follow-up questions, gives hints when you're stuck, and scores your performance afterward. It's the same format as a real tech interview, but you can do it anytime.
The tutor covers arrays, strings, linked lists, stacks, queues, hash maps, binary search trees, heaps, graphs, dynamic programming, backtracking, greedy algorithms, sorting, searching, and more. Problems range from easy to hard, matching LeetCode difficulty levels.
Videos teach you how someone else solves a problem. They don't test whether you can solve it yourself under pressure. Crackr AI puts you in the driver's seat: you have to explain your thinking, write the code, and handle follow-up questions. That active practice builds skills that passive watching can't.
You can code in Python, JavaScript, TypeScript, Java, C++, Go, and Rust. The AI understands all of them and will give language-appropriate feedback.
Each session costs $1 or less depending on the credit pack you choose. Your first interview is free, no credit card required. There are no subscriptions and credits never expire.
The people who land offers at top companies didn't just know the algorithms. They practiced explaining them under pressure. That's what this is for.
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