The Best LeetCode Alternatives for SDE Interview Prep in 2026

The strongest LeetCode alternative isn't another site with a bigger problem count. It's a source that tells you which questions are actually worth your remaining prep time. LeetCode's free tier is still the largest raw pool of practice problems on the internet, and it's a fine place to build pattern recognition. The gap shows up later, once you know which companies you're interviewing with and start asking which of those thousands of problems were actually asked recently.

Most roundups answer that by listing 20 or 30 similar-sounding tools with no real structure behind the list, which just trades one overwhelming pile of problems for an overwhelming pile of websites. This page skips the long list and instead splits the real options into four categories, prices each one out, and maps each category to a point in your prep timeline, so you can pick the one that actually matches where you are right now instead of trying all of them at once.

What should you actually look for in an alternative?

Before picking a tool, it helps to know what you're optimizing for. The candidates who waste the least time in their final prep weeks are usually filtering for a few specific things:

• Recency: when was this question last reported in an actual loop, not just theoretically possible to ask.
• Company signal: is the question tagged to the companies you're actually interviewing with, or just generically tagged "FAANG".
• Walkthroughs and follow-ups: interviewers rarely stop at the first correct answer, so a source that only gives you the base problem leaves you unprepared for the follow-up.
• Format coverage: coding is one part of an SDE loop, and system design, OOD, and SQL rounds need the same kind of curated prep, not an afterthought.

The four real categories of alternatives

Most "LeetCode alternatives" roundups list a dozen similar-looking tools without saying what they're actually for, or what any of them cost. In practice, they split into four categories, and knowing which one you need matters more than which specific brand you pick inside it.

Broad grinders: LeetCode, HackerRank, CodeSignal

LeetCode's free tier already covers its full base library and the discussion threads under every problem, which is most of what you need before you know which companies you're interviewing with. Its paid Premium tier adds company-tagged frequency data and official editorials, commonly reported around $35 a month, though LeetCode's own pricing page blocks most automated checks, so confirm the current number directly on leetcode.com. HackerRank is free for individual practice across algorithms, SQL, and language-specific tracks; the pricing you find on its site belongs to companies buying the employer assessment platform, not to candidates practicing for free. CodeSignal splits the same way: its general practice content is free to use, while its certified, proctored assessments are aimed at hiring teams rather than individual candidates. All three are the best place to build fundamentals from zero and the weakest at telling you which problems are actually being asked this quarter. LeetCode's catalog runs past 3,000 problems, so the harder task isn't finding enough of them, it's deciding which handful actually matter for your loop. HackerRank spreads its free content across more domains than the other two, including functional programming and full language tracks, and it also issues free, shareable skill certificates you can attach to a resume or LinkedIn profile, something none of the other broad grinders offer. CodeSignal's proctored assessments plug directly into applicant tracking systems like Greenhouse, Lever, and Workday, which is why you might land on its practice site after a recruiter, not by choice, and it's worth practicing there once you know a company uses it.

Structured, pattern-based courses: NeetCode, AlgoExpert

NeetCode and AlgoExpert both trade LeetCode's raw problem count for a smaller, hand-picked set with video walkthroughs, which suits candidates who stall out deciding what to study next. NeetCode's free tier already covers its well-known Blind 75 and Blind 150 lists with video explanations; its paid Pro tier adds company-tagged problems from 100+ companies, an AI study assistant, and roughly 200 videos, priced at $119 for one year or $297 for lifetime access at current discounted rates. AlgoExpert runs a smaller, curated set of around 160 problems with expert video explanations behind a paid subscription; its checkout page also blocks automated checks, so treat any price you read secondhand, including here, as unconfirmed until you check algoexpert.io directly. Neither platform tags problems by how recently they were reported at a specific company, which is the gap a curated, company-tagged bank fills once you have a target list. Both are worth the money only if you actually learn better from a fixed, video-guided sequence than from picking your own path through a bigger pool. If you already know how you like to study, the free tier of a broad grinder covers the same fundamentals without the subscription.

Mock interview practice: Pramp/Aced, interviewing.io

Pramp's peer-to-peer mock interviews folded into Exponent's free practice tool, now branded Aced, in 2024; the same free, credit-based matching model is still live there today, with a paid upgrade for unlimited sessions. interviewing.io now offers a free AI interviewer you can practice against, alongside its original paid product: booked mock interviews with real working engineers who give direct, sometimes blunt feedback. Both build a different skill than problem selection. They train the communication and think-aloud reps you need under real time pressure, which a solo grinding session never tests. A candidate who has solved 300 problems alone and never said a solution out loud to another person is usually more nervous on interview day than one who has solved fewer problems but sat through several mock rounds, because the live round tests explanation under pressure as much as it tests the underlying algorithm.

Curated, company-tagged banks: what we build

A smaller, selectively curated set of coding, system design, OOD, and SQL questions sourced from candidate reports and onsite feedback, tagged by company and how recently each one was seen. The tradeoff is volume for signal, useful once you know your timeline and target companies and want to stop guessing which unfiltered problem to open next. This is the smallest category of the four by problem count, on purpose. A bank that tries to cover every company at every stage ends up as thin and unfiltered as the grinders it's supposed to replace, so a good one earns its keep by leaving things out, not by adding them.

What does each one actually cost?

Prices shift often enough that the safest habit is checking the source directly before you commit, but here's what each option costs as of this writing, for an individual candidate rather than a hiring team.

Which category fits your prep timeline?

The category matters more than the specific brand inside it, and the right category changes as your interview date gets closer.

• 3+ months out, no target companies yet: spend most of your time on a broad grinder or a structured course. You need volume and pattern recognition, and company-tagged recency data does nothing for you when you don't know which company to filter by yet.
• 4-8 weeks out, companies narrowed down: split time between closing gaps on a grinder or structured course and working a company-tagged bank for your actual targets, plus one mock interview a week to keep your think-aloud reps current.
• Final 1-2 weeks: shift almost everything to the company-tagged questions for your specific loops and mock interview reps. New, unfiltered grinding this close to an onsite has the weakest return of any category on this page.

When should you skip a curated bank entirely?

A curated, company-tagged bank isn't the right next step for everyone, and it's worth saying so plainly. If you're more than a few months out from your first interview and don't have target companies yet, a broad grinder gets you further per hour, since you need volume and pattern recognition more than recency signal you can't use yet. If your weak spot is talking through a solution out loud under a clock, a mock interview platform fixes that faster than any question bank can, curated or not. Reach for a company-tagged source once you know roughly who you're interviewing with and have limited weeks left, not before. It's also worth skipping if you're switching into software from a non-engineering background and still building basic fluency with data structures. Company tagging only pays off once the fundamentals are automatic enough that you can spend your attention on the specific twist a given interviewer tends to add, and forcing that step early just adds pressure without adding useful signal.

How do you know a "company-tagged" claim is actually trustworthy?

Almost every alternative on this page claims some version of company-specific coverage, and the claims aren't equal. The weakest version is a generic "FAANG" label slapped on a problem because it's popular, with no source and no date attached. A stronger version names the specific company and cites candidate-submitted reports, even if it doesn't say when. The version worth paying attention to states both the company and a last-seen date, so you can tell a question that was asked last quarter from one that made the rounds three years ago and hasn't come up since. Before trusting a "this was asked at Company X" label anywhere, coding forum, candidate report, or paid bank, check whether it names a source and a rough date. If it doesn't, treat it as a guess dressed up as a fact. The same test applies to any "last asked" date you see: a bank that shows individual candidate reports, even anonymized ones, is giving you something you can weigh yourself, while a bare frequency percentage with no reports behind it is asking you to trust its math instead of showing its work.

Where does LiveCodingInterview.com fit?

LiveCodingInterview.com is built for the second half of a prep timeline: once you've built fundamentals and want to spend remaining hours on questions with real recency and company signal, across coding, system design, OOD, and SQL rounds. Every question is tagged by company and paired with an expert walkthrough and common follow-ups. Browse the full question bank or see how specific companies' questions are tagged on a company page. The platform is free through the end of 2027 as we gather feedback, so trying it costs nothing beyond the time it takes to read a few questions. That's a deliberate tradeoff on our side, not a permanent pricing decision, and we'd rather say that plainly than let a "free" label sit on the page without context once it changes.

It doesn't replace LeetCode's free tier for building fundamentals, and it isn't a mock-interview platform. It's the layer that sits on top of both once you know which loop you're prepping for.

Frequently asked questions