Is the NeetCode 150 enough for FAANG?

Is the NeetCode 150 enough for FAANG? The honest answer is conditional: the NeetCode 150 list, practised on thita, can give you a broad data structures and algorithms foundation, but it is not a complete interview plan.

The list covers a wide range of DSA topics and difficulty levels. It is useful for learning recurring techniques, testing your implementation and organising revision. A fixed list, however, cannot cover every unseen variant, follow-up or live-interview constraint. You still need to practise adapting an approach, working under time pressure and explaining your decisions while coding.

The NeetCode 150 also does not cover system design or behavioural preparation. The better question is whether it gives you the DSA base you need, and what you should add for the particular interview process you are targeting.

Thita is not affiliated with NeetCode.

Is the NeetCode 150 enough for FAANG coding rounds?

For DSA preparation, the NeetCode 150 is a substantial and structured starting point. It contains 150 problems: 28 Easy, 101 Medium and 21 Hard. That gives you practice across introductory techniques, common interview patterns and harder applications of those patterns.

Its usefulness comes from the spread of topics rather than from the number alone. The list includes arrays and hashing, two pointers, sliding windows, stacks, binary search, linked lists, trees, heaps, backtracking, tries, graphs, dynamic programming, greedy methods, intervals, maths and geometry, and bit manipulation.

Use the list as a pattern curriculum rather than a checklist. For each problem, identify the information that must be maintained, the invariant that makes the method work, the relevant edge cases and the time and space complexity. The goal is to recognise and adapt a technique when the prompt is unfamiliar, not merely to remember the wording of a known problem.

On thita, problems are grouped into 99 DSA patterns in 16 families through the DSA patterns sheet. The NeetCode 150 by pattern lists each problem under its thita pattern and keeps NeetCode’s topic as a tag. You can also use the filtered NeetCode 150 pattern view.

Every problem on the list that is live on thita runs in the browser in Python, Java, C++, JavaScript, Go and C# against the problem’s test cases. That lets you practise implementation, testing and debugging rather than only reading an explanation.

What does the NeetCode 150 cover well for FAANG preparation?

The topic distribution gives the list a broad base. The complete NeetCode 150 breakdown is:

NeetCode topic	Problems in NeetCode 150	Easy	Medium	Hard
Arrays & Hashing	9	—	—	—
Two Pointers	5	—	—	—
Sliding Window	6	—	—	—
Stack	7	—	—	—
Binary Search	7	—	—	—
Linked List	11	—	—	—
Trees	15	—	—	—
Heap / Priority Queue	7	—	—	—
Backtracking	9	—	—	—
Tries	3	—	—	—
Graphs	13	—	—	—
Advanced Graphs	6	—	—	—
1-D Dynamic Programming	12	—	—	—
2-D Dynamic Programming	11	—	—	—
Greedy	8	—	—	—
Intervals	6	—	—	—
Math & Geometry	8	—	—	—
Bit Manipulation	7	—	—	—

The difficulty totals are 28 Easy, 101 Medium and 21 Hard. The topic table shows breadth; it does not assign the difficulty totals to individual topics.

Arrays, pointers and sliding windows

Arrays and hashing develop habits such as tracking frequencies, using sets and choosing a useful representation. Two pointers and sliding windows add techniques for maintaining a changing range or moving through ordered data.

These topics also provide a good way to practise invariants. Ask what must remain true after each pointer movement or window update. Then consider what changes when values are duplicated, negative, missing or presented in a different format.

Stacks, binary search and linked lists

The Stack topic goes beyond bracket matching. It includes expression evaluation, monotonic-stack reasoning and situations where the nearest greater or smaller value matters. Binary search covers ordinary searching as well as searching over a condition or answer space.

Linked List practice focuses on pointer manipulation, cycle detection, copying structures, cache design and merging. It is useful for careful implementation because a sound high-level idea can still fail through an incorrect pointer update or an unhandled empty input.

Trees, heaps, tries and backtracking

Trees receive 15 problems, the largest topic allocation in the list. They cover recursive traversal, breadth-first traversal, binary-search-tree properties, construction, serialisation and path calculations.

Heap and priority queue problems provide practice with top-k selection, streaming data and scheduling. Tries introduce prefix-based structures. Backtracking develops a reusable way to explore choices, undo state and prune branches.

Together, these topics make you choose between recursion, iteration, queues, stacks, heaps and hash-based structures. That choice is often as important as the final implementation.

Graphs and advanced graphs

The list contains 13 Graphs problems and 6 Advanced Graphs problems. This gives you an introduction to grid traversal, connected components, cycle detection, graph cloning, topological ordering, shortest paths, minimum spanning trees and union-find.

That is useful coverage, but it is not a guarantee that every graph problem will feel familiar. A prompt can change the representation, add weights, introduce direction, include disconnected components or combine traversal with another technique. Practise identifying the graph model and the assumptions behind the algorithm instead of copying a template.

Dynamic programming and the remaining topics

The list contains 12 1-D Dynamic Programming problems and 11 2-D Dynamic Programming problems. This covers state definition, transitions, base cases, iteration order and space optimisation across sequence, knapsack-style, grid, string and interval problems.

DP is also an area where memorisation can break down quickly. When revising, explain what each state means, which choices are available and why the recurrence includes every valid option. Then try changing the requested output from a value to a construction, count or reconstruction.

Greedy, intervals, maths and geometry, and bit manipulation round out the curriculum. They give you practice with proof intuition, boundary conditions, in-place operations and bitwise reasoning. The result is a broad DSA base, not a complete simulation of every coding round.

Why can the NeetCode 150 still be insufficient for FAANG-style interviews?

A curated list has known boundaries. A large-company coding round can present an unseen prompt, change a constraint or add a follow-up after the initial solution. The important skill is transferring a pattern to a new situation.

Unseen variants and follow-ups

A familiar technique may appear with a different input representation, tighter memory or time constraints, streaming input, additional updates or a different requested output. A follow-up may also change the constraints after the initial solution.

For each problem you practise, ask what would invalidate the approach. Consider what happens when the input is empty, values are duplicated, values are negative, the input is too large to store or data arrives over time. Then modify the algorithm deliberately and explain the trade-off.

After reaching a solution, describe the brute-force approach, the bottleneck and the reason the improved method avoids that bottleneck. Test the implementation against edge cases before moving on.

Harder graph problems

The NeetCode 150 introduces advanced graph techniques, but follow-ups can require a different algorithm or a combination of techniques. You may need to distinguish between breadth-first search, depth-first search, Dijkstra’s algorithm, Bellman–Ford-style reasoning, minimum spanning trees and topological ordering based on the exact constraints.

Practise changing the graph representation and checking whether direction, weights, cycles and disconnected components affect the method. State the assumptions before coding. A correct algorithm with an unexplained choice is weaker interview preparation than a solution whose model and complexity you can defend.

Harder dynamic programming problems

DP follow-ups can require reconstruction, reduced memory, another dimension, counting instead of maximisation or a state that includes an additional constraint. The surface resemblance to a known problem is not enough.

After solving a DP problem, write the meaning of each state in a precise sentence. Identify the choices, base cases and order in which states become available. Then derive a variant without looking at the original implementation. This tests whether you understand the recurrence rather than whether you can reproduce it.

Speed under time pressure

Solving a familiar problem at home is different from reading a new prompt, clarifying it, selecting an approach, coding, testing and answering follow-ups while time is limited. Timed practice should include the complete process rather than only rapid typing.

Before coding, state the plan and complexity. During coding, keep track of the invariant and test small cases. If the solution is incomplete, explain what works, what remains and how you would proceed. That recovery practice is part of preparing for an interactive round.

Explaining while coding

Practise communicating the interpretation of the prompt, the candidate approaches, the chosen data structure, the invariant, the complexity and the testing plan. Explain decisions and risks rather than narrating every keystroke.

The AI mock interview is spoken, runs your code and asks follow-ups. Use it to rehearse the interaction around a solution, not just to obtain another completed answer.

What does the NeetCode 150 not cover?

The NeetCode 150 is a DSA list. It does not cover the system design or behavioural rounds that may form part of a software engineering interview process.

System design

System design needs its own preparation. It is not covered by solving array, graph or dynamic programming problems, even when the coding foundation is strong. Use thita’s system design preparation hub to prepare for the design round separately.

Behavioural interviews

Behavioural preparation is also separate from a problem list. Prepare accurate examples from your own work, study or projects, and practise explaining your contribution and decisions clearly. Be ready to answer follow-up questions about the examples you use.

Other role-specific rounds

Some processes can include practical coding, machine coding, domain knowledge, debugging or resume-based discussion. Whether these appear depends on the employer, role and seniority. Do not assume that a DSA list describes the whole process.

Start with the company’s stated stages and build a preparation plan around them. Thita’s company-wise interview kits can help you organise coding, design and behavioural preparation by company.

What should you add to the NeetCode 150?

Learn the 150 by pattern

Work through the list systematically. For each problem, record the pattern, invariant, complexity, edge cases and reason the approach is correct. Re-solve selected problems without notes so that revision tests recall and reasoning rather than recognition alone.

You can organise this work through the NeetCode 150 by pattern, which shows which problems are live on thita. Use the same pattern-focused review method for the full list, including problems that are not yet available on thita.

Do not ignore the problems that expose weak fundamentals. An empty input, a single element, repeated values, negative values, a disconnected graph or an integer near its limit can reveal whether the implementation is robust. Make edge-case testing part of the normal solution process rather than an afterthought.

Add unseen practice

Once the main patterns are familiar, practise prompts without identifying the topic in advance. Read the constraints, describe a brute-force baseline, find the bottleneck and develop the improved approach.

Vary problems you already know. Change the input format, requested output or constraints. Ask what a follow-up could alter, then solve that version and explain why the original implementation does or does not still work.

Simulate the interview

Complete timed sessions in your chosen language. Speak aloud, run tests and leave time for complexity and edge-case explanations. Mix straightforward and difficult prompts so that you practise deciding how to allocate time and when to change direction.

Use a human partner or the AI mock interview for feedback on clarity, reasoning, debugging and follow-up responses. Review the process, not only whether the final code passed its tests.

Prepare the other rounds

Schedule system design and behavioural preparation alongside DSA rather than postponing them until coding feels complete. Use the company-wise interview kits to organise preparation around the company and role you are targeting.

For system design, practise clarifying requirements, identifying scale, choosing interfaces and components, and discussing trade-offs and failure modes. For behavioural interviews, prepare accurate examples that show your own actions and decisions. A problem list cannot supply either type of preparation.

When is the NeetCode 250 worth it?

The NeetCode 250 contains 250 problems: 60 Easy, 155 Medium and 35 Hard. It contains all of the NeetCode 150 plus 100 more problems: 32 Easy, 54 Medium and 14 Hard. The NeetCode 250 by pattern shows which of them are live on thita.

Its additional problems are worth considering after you understand the NeetCode 150 patterns and have enough time to review them properly. The topic comparison is:

NeetCode topic	NeetCode 150	NeetCode 250
Arrays & Hashing	9	22
Two Pointers	5	13
Sliding Window	6	9
Stack	7	15
Binary Search	7	14
Linked List	11	14
Trees	15	23
Heap / Priority Queue	7	12
Backtracking	9	16
Tries	3	4
Graphs	13	21
Advanced Graphs	6	10
1-D Dynamic Programming	12	17
2-D Dynamic Programming	11	16
Greedy	8	14
Intervals	6	7
Math & Geometry	8	13
Bit Manipulation	7	10

The NeetCode 250 is useful when you need more repetition in weak topics, want the 14 additional Hard problems for more difficult practice, or have already learnt the core patterns and want to test transfer across a wider set of prompts.

Do not add the extra problems merely because the larger list sounds safer. If the NeetCode 150 patterns are not understood, another 100 problems can create a larger backlog without fixing the underlying gap. When an interview is close, targeted revision, unseen variants, timed mocks, follow-ups and preparation for the other rounds may be more useful than trying to complete the entire 250.

What is the final verdict?

The NeetCode 150 is a strong DSA foundation for FAANG preparation, but it is not a complete interview plan. It gives you 150 problems, 28 Easy, 101 Medium and 21 Hard, spread across the major DSA topics. It does not remove the need for unseen variants, harder graph and DP practice, speed under time pressure or clear explanations while coding.

The practical route is the NeetCode 150 list, practised on thita, followed by targeted extensions. Use the company-wise kits to organise preparation, the NeetCode 150 by pattern for DSA practice, the AI mock interview for spoken coding rehearsal and the system design hub for the design round.

Choose the NeetCode 250 when you need broader repetition, additional Hard problems and enough time to review them properly. Whatever list you use, prepare system design and behavioural interviews separately. The honest answer to “Is the NeetCode 150 enough for FAANG?” is therefore: yes as a structured DSA core; no as the complete preparation plan.