The Complete Guide to Karat Interviews (2026)
LeapFork is an independent interview preparation platform — not affiliated with or endorsed by Karat, Inc. This guide is based on candidate-reported experiences and publicly available information about how Karat technical screens work.
If you have a Karat interview coming up, you probably found out your target company outsources its first technical screen to a company called Karat. You may have heard mixed things — some candidates find it straightforward, others feel caught off guard. The difference is almost always preparation. This guide covers exactly what Karat interviews look like, how they are evaluated, and the fastest path to being ready.
What Is Karat?
Karat is a third-party technical interviewing company. Instead of conducting first-round technical screens themselves, many fast-growth companies — including Atlassian, Palantir, Intuit, Instacart, Citi, Databricks, Indeed, and Roblox — outsource this screening step to Karat.
Karat employs a staff of trained Interview Engineers (IVEs) who conduct live technical interviews on behalf of their client companies. These IVEs are not the company's own engineers — they are full-time interviewers who follow a consistent, structured rubric for every session.
From a candidate perspective, the practical effect is that you are interviewing with a professional interviewer whose job is specifically to evaluate you fairly and consistently — not a product engineer who is squeezing interviews into a busy sprint. This is actually good news: the rubric is predictable, and the format is learnable.
The Format: What 60 Minutes Looks Like
A standard Karat interview is 60 minutes, structured roughly as follows:
- ~5–10 minutes: Introduction and domain/discussion questions. The IVE introduces themselves, asks about your background, and asks one or two conceptual questions (about data structures, system concepts, or software engineering fundamentals). These questions are low-stakes but do appear on the rubric — treat them as a warm-up, not throwaway.
- ~40 minutes: Live coding in a browser IDE. You code in a shared browser environment. The IVE observes your screen and can see your keystrokes in real time. This is where the majority of your score is determined.
- ~5 minutes: Wrap-up. The IVE may ask a question about your approach or give you a chance to clarify. Then the session ends.
One key distinction: Karat IVEs follow a structured rubric and do not give hints the way a friendly colleague might. If you ask "should I use a hash table here?" they will not answer. They may clarify the problem statement if you misunderstood something, but the directional thinking is on you.
The Coding Round: Parts, Progression, and Scoring
The coding portion is built around a single problem that is divided into up to three progressive parts. Each part adds a layer of complexity — typically starting with a basic version, then adding constraints or variations, and finishing with an optimization or extension.
The general passing threshold most candidates report: fully solve at least two of the three parts. Partial credit does apply — an interviewer can note that you made strong progress on a third part even if you did not complete it — but passing two parts cleanly gives you the most reliable outcome.
Correctness is weighted above optimality. A working brute-force solution that correctly handles edge cases is scored better than an optimal solution that crashes on an empty array. That said, if you solve the first two parts early, you should use the remaining time to improve your solution's complexity — the IVE will note it.
Communication matters in a concrete way. Karat's rubric scores you on iteration and communication separately from correctness. A candidate who writes perfect code but never explains their thinking — and certainly one who submits code that runs correctly but looks suspiciously unedited — will be flagged. The expectation is that you talk through your approach, narrate your edge case thinking, and iterate visibly.
Question Difficulty and Topics
Karat problems sit at the LeetCode easy-to-medium range. You will not encounter hard dynamic programming problems or advanced graph algorithms in a standard Karat screen. The typical problem requires:
- Arrays and hash tables: The dominant pattern by a wide margin. Iterating through a list while tracking state in a dictionary — frequencies, complements, seen elements.
- Strings: Parsing, character frequency, substring matching, or reformatting.
- Matrices/2D arrays: Grid traversal, BFS/DFS on a grid, or simple row-column iteration.
- Queues and stacks: Occasionally, especially for the third (hardest) part of a progressive problem.
Binary search, heaps, tries, and advanced graph algorithms appear rarely, if ever, in standard Karat screens. Your preparation time is better spent mastering the patterns above than breadth-chasing algorithms.
The Redo Policy
Many companies that use Karat allow candidates one redo — a second attempt with a different problem set. Whether a redo is offered depends on the hiring company's policy, not Karat's. Typical conditions: the redo is offered within a window (often 30 days), and the company may extend it automatically or require you to request it through your recruiter.
If you receive a redo option, do not rush back into it. Use the time to address the specific gaps — was it time management? Communication? A specific problem type? A targeted 7-day preparation period before taking the redo meaningfully improves outcomes.
For a full breakdown of the redo process, see the Redo Policy guide.
What's New in 2026: NextGen and AI Detection
Two significant developments define the Karat landscape in mid-2026:
Karat NextGen is a new interview format that moves from a single-problem coding screen to a multi-file codebase in an AI-enabled IDE. Instead of writing a function from scratch, candidates navigate an existing codebase, make targeted improvements, and evaluate AI-generated suggestions. This format tests different skills — codebase reading, refactoring judgment, and the ability to critically assess AI output. It is being rolled out to select companies as of mid-2026. Full NextGen guide →
AI cheating detection has become a more deliberate part of Karat's integrity infrastructure. Screen recording, video monitoring, plagiarism detection against known solution sets, and follow-up explanatory questions are all part of the integrity stack. The tell-tale flag is "perfect code, no iteration, no explanation" — which is exactly what AI tool use during the live session looks like. Full AI detection guide →
How to Prepare: 1-Week and 30-Day Plans
Most candidates have between one and four weeks to prepare. Here is a practical, honest plan for both windows.
The 1-Week Plan
Spend days 1–2 on problems that require tracking state in a dictionary while iterating a list. This single pattern underlies the majority of Karat coding problems.
Days 3–4: string parsing, two-pointer techniques, and 2D grid/matrix traversal (BFS, DFS, simple row/column iteration). Keep difficulty at LeetCode easy-to-medium.
Every practice session should be timed. Set a 40-minute countdown and treat it as real. Getting comfortable with the clock pressure is a skill in itself.
Record yourself solving a problem. State your approach before writing code, narrate what each loop does, and call out edge cases explicitly. Silence is flagged on the rubric.
At least two days before the real interview, complete one full timed simulation under interview conditions — use LeapFork's simulation format or an equivalent full-session rehearsal.
Do not cram. Re-read your edge case checklist (empty input, single element, negatives, duplicates), test your audio and browser setup, and get sleep. You cannot cram your way to better time management.
LeapFork's timed simulation mirrors the actual Karat format: live coding, AI-graded performance, and a speaking AI interviewer. Free to start.
Run a Free Simulation →The 30-Day Plan
With a month, you have time to build genuine fluency rather than just pattern-match. The structure: spend the first two weeks on problem types (arrays, strings, matrices, then composition problems), the third week on timed practice with increasing pressure, and the fourth week on full simulations and review. The goal of the first three weeks is to make your default thinking "iterate + hash table" for any collection problem. The fourth week is about mental conditioning and format familiarity.
Regardless of your timeline, the most important single practice is a full timed simulation under real conditions. Solving LeetCode problems in a relaxed tab is not the same as writing correct code while narrating to a camera under a 40-minute clock. The two experiences are so different that candidates who only do the former are often surprised by the latter, even when they know the material.
Frequently Asked Questions
Karat interviews are LeetCode easy-to-medium in difficulty — they are not designed to be algorithmic puzzles. The challenge is the time pressure, the live communication requirement, and the structured rubric the interviewer follows. Most candidates who struggle do so because of silence, not because the problem itself was unsolvable.
Many companies that use Karat allow one redo, typically within a set window and at the hiring company's discretion. The redo uses a different problem set. Whether a redo is offered depends on the client company policy, not Karat directly.
Karat's Interview Engineers (IVEs) follow a structured rubric and do not give open-ended hints the way a friendly colleague might. They may clarify a misunderstanding about the problem statement, but they will not suggest an approach or tell you which direction to take.
Karat supports most major languages including Python, JavaScript, TypeScript, Java, C++, Go, Ruby, and others. Python is the most commonly chosen language by candidates. Choose whichever language you can code fastest and most fluently in.
Karat typically submits its performance summary to the hiring company within one business day. How quickly the recruiter gets back to you depends on that company's internal process — candidates often hear within two to five business days of the interview.
If you experience a genuine technical problem (connectivity, platform crash), flag it immediately to the IVE. Karat generally offers a reschedule for verified technical failures, and many client companies also have a redo provision that covers this scenario.
The standard Karat format focuses on live coding. Domain or discussion questions in the first segment may touch on technical concepts, but a full system design component is uncommon. Some senior-level or specialized Karat formats may vary — confirm with your recruiter.
Yes. Karat records both the video and the coding session. The recording and a performance summary are shared with the hiring company. This is part of Karat's core value proposition — the company gets to review the session, not just a pass/fail signal.
In a traditional phone screen, you interview directly with a company employee who may or may not follow a consistent rubric. Karat uses trained Interview Engineers who apply the same structured evaluation criteria to every candidate, reducing inconsistency and interviewer bias.
The most effective practice is a full timed simulation that mirrors the actual format: one problem, 40 minutes of coding time, with pressure to talk through your approach aloud. LeapFork is an independent prep platform that offers exactly this format, including AI grading and a speaking AI interviewer.
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