How Many LeetCode Problems Should You Solve? (2026 Guide)

“How many LeetCode problems should I solve?” is probably the most asked question in coding interview prep, and it is also the one with the most misleading answers. Some people say 75. Some say 500. A few experienced engineers insist the right number is zero. All of them are partly right, because the honest answer depends on three things: the companies you are targeting, the weeks you have left, and how well you remember what you solve.

In this guide you will get specific targets for campus placements, product companies and FAANG-style interviews, a pattern checklist that matters more than any raw count, a clear comparison of Blind 75, Grind 75, NeetCode 150 and LeetCode 75, and a small Python calculator that turns your own free hours into a realistic goal. The numbers are ranges drawn from public guides, a published study and community experience. There is no official LeetCode rule, and anyone who gives you one exact number is guessing.

Quick answer

• Service-based and campus placements: about 150–200 well-understood Easy and Medium problems.
• Product companies and strong startups: about 200–300 problems, mostly Medium.
• FAANG-style loops: 300 or more, including some Hard problems, but only if every major pattern is covered and revised.
• Less than four weeks left: 25–40 problems with one or two per pattern beats rushing through 100 without understanding.
• Best rule: cover roughly 14 patterns with about 10 problems each, then revise. Quality and recall matter more than the total.

Why the raw number is misleading

Imagine two students who both show a counter of 200 solved problems. The first read the editorial for most of them, copied the idea, submitted, and moved on. The second struggled for twenty minutes, wrote a brute force first, improved it, then came back a week later and solved the same problem again from a blank editor. On paper they are identical. In an interview they are not even close.

A coding interview does not test whether you have seen a problem. It tests whether you can recognise the shape of a new problem, pick a technique, write correct code under pressure and explain the cost. That skill is built by retrieval, not by exposure. A solved counter measures exposure. So before asking how many problems you need, ask a better question: how many problems can I re-solve from scratch, in about 25 minutes, a week after the first attempt? That number is your real score.

There is also a practical problem with counting. Easy problems inflate totals quickly, and solving many Easy questions can feel like progress while Medium problems, which make up most interview questions, stay untouched. Two hundred Mediums solved properly is worth far more than five hundred problems skimmed.

How many LeetCode problems you need, by goal

The table below combines what public placement guides, interview-prep sites and community discussions suggest. Treat each row as a range, not a rule.

Several Indian placement guides suggest that for TCS, Infosys and Wipro style hiring, well-understood problems matter more than raw volume, and that coding rounds there are generally easier than at top product companies. Other campus-placement guides land in a similar place, recommending about 150 to 200 well-practised Easy and Medium problems. On the other end, guides aimed at Google-level interviews usually recommend 200 to 300 for intermediate candidates and 300 to 500 or more for advanced ones. The community view on forums is more varied, and many engineers report landing offers with far fewer problems because they understood patterns deeply.

If you target service-based companies, remember that endless problem solving has diminishing returns. Spoken communication, aptitude rounds and explaining your own projects can decide the result just as much as your LeetCode counter.

What research says about problem counts

One of the few data-driven looks at this question came from computer science researchers at North Carolina State University and the University of Virginia. As reported by eFinancialCareers, the study analysed more than 300,000 public LeetCode profiles and suggested that candidates aiming for a major employer probably need around 300 problems or more. The same report found that, on average, Goldman Sachs engineers had solved 122 fewer problems than Meta engineers and 156 fewer than Google engineers, and that finance developers solved proportionally easier problems.

Two cautions apply. First, public profiles show what people solved over their whole career, not what they solved before getting hired. Second, correlation is not a requirement. Strong engineers who never opened LeetCode still exist. Read the study as a signal that top tech employers expect broad practice, not as a promise that 300 problems guarantees an offer. You can read the original coverage on eFinancialCareers.

Count patterns, not problems

Most interview questions are variations of a limited set of patterns. If you can name the pattern within a few minutes, you already have a plan. This is why a fixed list of about 130 well-chosen problems can carry you further than a random 300. Use the checklist below and tick a pattern only when you can solve a fresh problem from it without help.

That adds up to about 128 core problems. Add 20 to 70 mixed problems for revision, timed practice and weak spots, and you reach the 150–200 range that many placement guides recommend. If your knowledge of time and space cost is shaky, read the Big O notation guide first, because every solution you write will need a complexity statement.

Blind 75 vs NeetCode 150 vs Grind 75 vs LeetCode 75

Nobody needs to pick problems at random. Several curated lists exist, and they are often confused with each other. Here is how they compare.

The author of Blind 75 explains on the official Grind 75 page that the original list was static and not personalised, so he picked the top 169 questions by popularity, frequency, topic coverage and ratings, ranked them, and made the top 75 the default list. You can choose how many hours you have and which difficulty you want. The first 75 contain no Premium-only questions. NeetCode 150, in turn, is commonly described as Blind 75 plus 75 more problems, grouped by category.

Which one should you choose?

• Under four weeks: a trimmed Blind 75, one or two problems per pattern.
• Four to eight weeks: Grind 75 sized to your hours, or a NeetCode 150 subset.
• Eight to twelve weeks: NeetCode 150 in pattern order, then company-specific problems.
• No fixed date: follow the LeetPrep roadmap and learn one pattern at a time.

Is Blind 75 enough? It is a strong floor for common patterns, but it was written years ago and does not cover everything. Treat it as a checklist you must be able to finish comfortably, then add depth where you are weak, especially dynamic programming and graphs.

Calculate your own number with Python

Instead of copying a target from someone with more free time than you, calculate one from your own hours. The idea is simple. Reserve about one third of your weekly hours for re-solving old problems. Spend the rest on new problems, assuming roughly 40 minutes each once you include reading, coding, testing and a short note about what you learned.

def study_plan(weeks, hours_per_week, minutes_per_new_problem=40, review_share=1 / 3):
    # Estimate how many NEW problems you can learn properly, not just submit.
    new_hours = hours_per_week * (1 - review_share)
    per_week = int(new_hours * 60 // minutes_per_new_problem)
    return {
        'new_per_week': per_week,
        'total_new': per_week * weeks,
        'review_hours_per_week': round(hours_per_week * review_share, 1),
    }


def pick_list(total_new):
    if total_new < 40:
        return '1-2 problems per pattern from Blind 75'
    if total_new < 100:
        return 'Blind 75 or Grind 75, sized to your weeks'
    if total_new < 170:
        return 'NeetCode 150 or Grind 169'
    return 'NeetCode 150 plus company-tagged practice'


for weeks, hours in [(4, 6), (8, 10), (12, 8), (12, 15)]:
    plan = study_plan(weeks, hours)
    print(weeks, 'weeks,', hours, 'h/week ->', plan, '->', pick_list(plan['total_new']))

Running this script gives the following results.

The lesson is uncomfortable but useful: a student with six hours a week cannot honestly learn 150 problems in a month. Cutting the list to fit your time is not laziness. It is how you avoid the common trap of finishing a list on paper while remembering almost nothing.

Sample plans for 4, 8 and 12 weeks

Four weeks (about 25–40 problems). Week one covers arrays, hash maps and two pointers. Week two covers sliding window, binary search and stacks. Week three covers trees, graphs and linked lists. Week four covers one dynamic programming set, one backtracking set and two full mock interviews. Pick the most standard one or two problems per pattern and skip Hard problems entirely. If you want a day-by-day version, use the 30-day coding interview study plan.

Eight weeks (about 80–100 problems). Spend the first two weeks on fundamentals and Big O, the next four on one pattern pair per week, and the last two on mixed timed sets. Re-solve every problem you failed or needed a hint for. Add one system design session per week if you are applying for roles beyond entry level, starting with the URL shortener walkthrough.

Twelve weeks (about 150–180 problems). Follow NeetCode 150 or Grind 169 in pattern order for eight weeks, then spend four weeks on company-tagged problems, timed online-assessment practice and mock interviews. This is the only schedule where a few Hard problems make sense, and only after Medium problems feel routine.

How to make each problem count

The difference between a useful problem and a wasted one is what you do after the green tick. These habits cost little and multiply the value of every problem.

1. Set a struggle limit. Try honestly for 20 to 30 minutes. If you are stuck, read only the first hint or the idea, not the code, and finish the solution yourself.
2. Write brute force first. State the simple solution and its cost, then improve it. Interviewers want to see that reasoning, and our Python cheat sheet lists the cost of each built-in so you do not accidentally hide a slow operation.
3. Keep a mistake log. After each problem write one line: the pattern, the key insight and the bug you hit. Reading ten lines on a Sunday beats re-reading ten solutions.
4. Re-solve on a schedule. Come back after one day, one week and one month. Failed attempts are valuable because they show where your recall is weak.
5. Say it out loud. Explain your approach and complexity as if an interviewer were listening. Many candidates who can code still stumble when they must narrate.
6. Mix topics. Once you know a pattern, practise sets where the pattern is not labelled. Recognition is the real interview skill.

Common mistakes

• Chasing a streak instead of learning. Solving one problem a day is fine, but a streak built from Easy problems is not preparation.
• Reading solutions too early. If you open the editorial after five minutes, you are practising reading, not problem solving.
• Skipping revision. Forgetting is normal. Without scheduled review, most of what you learn disappears within weeks.
• Ignoring difficulty balance. Beginners should not start with Hard problems, and advanced candidates should not stay on Easy ones.
• Collecting lists. Switching between Blind 75, Grind 75 and NeetCode 150 every week resets your progress. Pick one list and finish it.
• Neglecting the rest of the interview. Communication, testing your own code, and system design for experienced roles can matter as much as one more graph problem.

How to know you are ready

Stop counting and test yourself with these signals instead:

• You can solve most unseen Medium problems in 25 to 35 minutes without hints.
• You can name the pattern and give time and space complexity before you code.
• You catch your own bugs by tracing a small example.
• You can solve three unseen Medium problems in a 75-minute mock session at least twice in a row.
• Your mistake log shows repeated bugs becoming rare.

If these are true and you have covered every pattern in the checklist, adding another hundred problems will usually help less than doing two honest mock interviews.

Frequently asked questions

Final thoughts

The best answer to “how many LeetCode problems should I solve?” is a number you can defend: enough to cover every major pattern, enough to re-solve confidently, and no more than your calendar allows. For most learners that means a range of 150 to 250 problems, chosen from one structured list and revised on a schedule. Start with the LeetPrep roadmap, pick a pattern from the checklist above, and solve your first problem properly today. If you are stuck on a topic that is not covered yet, tell us on the contact page and we will consider writing a guide on it.

Keep learning: topological sort, dynamic programming and the 30-day study plan pair well with this guide.

Also see: TCS NQT and Infosys coding practice for related patterns.