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A Beginner’s Leetcode Roadmap Guide to Master DSA Fast

October 13, 2025

You know that panic that hits when you open Leetcode and realize you have no clue where to start? I’ve been there staring at a hundred problems, convincing myself I’d “figure it out later,” and then freezing mid-question in my first Amazon interview. The truth is, most people don’t fail coding interviews because they’re bad at coding. They fail because they prepare in chaos.

What worked for me was having a clear plan, knowing which data structures actually show up, which problem types are worth grinding, and how to build consistency without burning out. That’s the roadmap I wish I had from day one.

In this post, I’m sharing the same Leetcode study plan that took me from floundering to landing internships at Amazon, Meta, and TikTok, no guesswork, no burnout, just focused, repeatable progress.

Interview Coder’s AI Interview Assistant builds on that system with real-time code feedback and mock interviews that actually feel like the real thing, so every practice session counts.

Ultimate Beginner’s Leetcode Roadmap to Solve Your First 200 Problems

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When I first started grinding Leetcode, I did what most people do, such as jumping around from problem to problem like I was speed dating data structures. One day, it was sliding windows. The next day, binary trees. It felt productive. It wasn’t.

I didn’t really get better until I gave myself a boring, structured plan. Same categories. Same patterns. Over and over again. That’s when things clicked. When Interview Coder was just an idea, this roadmap was the backbone. It helped me land internships at Amazon, Meta, and TikTok. It's not flashy, but it works.

Roadmap Phases and Exact Problem Counts for 200 Problems

Here’s the exact roadmap cleaned up, counted out, and broken into phases so you don’t waste another week wondering what to solve next.

Phase 1: Problems 1–50 (Get Your Reps In)

  • Arrays: 20
  • Strings: 12
  • Hash maps: 8
  • Linked lists (basic): 7
  • Simple I/O and edge cases: 3

Phase 2: Problems 51–100 (Recursive Thinking)

  • Binary trees: 20
  • Recursion + divide/conquer: 10
  • Linked list (advanced): 10
  • Stacks + queues: 5
  • Heaps: 5

Phase 3: Problems 101–150 (Algorithms Start to Stack)

  • Sorting/searching: 15
  • Intro DP: 15
  • Backtracking: 10
  • Sliding window/two pointers: 10

Phase 4: Problems 151–200 (You’re Dangerous Now)

  • Advanced DP: 20
  • Graphs: 20
  • Greedy: 7
  • Union Find/Topo Sort: 3

Phase 1: Get Your Reps In (1–50)

This is where you stop feeling like you’re guessing every time you touch a problem. Your only job is to build fluency.

Focus

  • Arrays, strings, hash maps, and linked lists.
  • Get used to breaking down input and controlling edge cases.

Goals

  • Build pattern recognition with repetition.
  • Spot standard setups like prefix sums, window scanning, or frequency maps.
  • Write clean loops and simple conditionals without second-guessing yourself.

Problem Types to Practice

  • Arrays: find max, reverse, rearrange, transform
  • Strings: palindromes, substrings, parsing
  • Hash maps: count frequencies, remove dupes, quick lookups
  • Linked lists: traversals, simple manipulations, cycle detection

Suggested Easy Problems

  • Two Sum
  • Best Time to Buy and Sell Stock
  • Valid Parentheses
  • Palindrome Number
  • Linked List Cycle

Roy’s Tip

Don’t just solve and move on. Spend 30–40 minutes per problem. Read the best solution, close the tab, and then write it again from scratch. That second pass is where the magic happens.

Phase 2: Recursive Thinking (51–100)

This is where most beginners stall. Recursion feels weird. Trees feel abstract. That’s good. Keep going.

Focus

  • Binary trees, recursion, and advanced linked list patterns.
  • Start thinking about memory, base cases, and pointer manipulation.

Goals

  • Be able to explain what your recursive calls are doing without guessing.
  • Understand tree traversal flows (pre, in, post).
  • Get comfortable drawing pointer diagrams on paper.

Problem Types to Practice

  • Recursion: classic tree problems, Fibonacci, climbing stairs
  • Binary Trees: depth, balance, traversal orders
  • Linked Lists: reverse, merge, detect midpoints

Suggested Easy–Medium Problems:

  • Merge Two Sorted Lists
  • Maximum Depth of a Binary Tree
  • Reverse Linked List
  • Climbing Stairs
  • Binary Tree Inorder Traversal

Roy’s Tip

Draw before you code. Seriously. You’ll catch 80% of your bugs just by sketching the pointer movements or the recursion stack on paper.

Step 3: Making Medium Problems Less Scary (Problems 100–150)

This is where most people either quit or level up. I know because I was this close to dropping out of my grind during this stretch. Sorting and binary search felt doable. But then came DP and backtracking. I spent a whole weekend debugging a House Robber variant with negative indices and a broken memo table. Good times.

Anyway, this part of the journey is about getting comfortable with discomfort. You’re building intuition. Patterns are starting to click. Trust the process.

Focus Areas

  • Know when a problem screams “binary search” or “sort first.”
  • Don’t skip writing out your DP states by hand before coding. It feels slow, but it saves hours.
  • For backtracking, practice state pruning and recursion; you can explain without tripping over your words.

Problem Types

  • Sorting & searching: Think Merge Intervals, Search in Rotated Sorted Array.
  • Dynamic programming: Start with House Robber, not Hardcore Sudoku Solver.
  • Backtracking: Permutations, Subsets, Combinations. Keep it simple.

Practice Tip

Before you code, walk through a small input by hand. Draw it out. Write the recurrence. Then go top-down with a memo. Bottom-up, once you start seeing the grid in your sleep.

Step 4: Stuff That Broke Me (Problems 150–200)

Here’s where I realized “brute force with vibes” doesn’t cut it anymore. If you’ve made it this far, congrats, you’re now entering graphs, grid DP, and greedy decisions that only make sense in hindsight.

I used to dread problems like Course Schedule and Coin Change. What helped? Writing out input/output, figuring out the shape of the solution in one sentence, and then touching the keyboard.

Focus Areas

  • Graphs: Get cozy with BFS/DFS. Trust me, they’re in almost every interview.
  • DP: Multi-dimensional grids. Think Word Ladder and Longest Increasing Subsequence.
  • Greedy: Learn where it works and where it fails. Meeting Rooms II is a good test.

Practice Tip

Before coding anything hard, write:

  • “What’s the input?”
  • “What’s the output?”
  • “What’s the main idea in one line?”

Then hit compile. Save yourself hours of flailing.

How I Balanced Grinding and Actually Learning Stuff

I wish someone had told me early on that doing 200 problems doesn’t mean anything if you don’t remember 150 of them. So here’s the split that worked for me:

My Ratio by Weeks

  • Weeks 1–4: 80% practice, 20% theory (spam easy problems, skim articles)
  • Weeks 5–12: 60/40 split (add trees, recursion, introductory DP deep dives)
  • Week 13 onward: 50/50 (spend time understanding why things work, not just getting AC)

Daily Habits

  • Read one short theory note before solving.
  • Do 2–3 problems per session. One should be revisited.
  • Re-code editorials without looking. If it hurts, good.

The Tracker That Kept Me Sane

I built a Notion board because I was tired of solving the same five problems and forgetting what they taught me. Keep it simple:

What I Tracked

  • Problem name + link
  • Difficulty + tags
  • Time taken + date
  • Status (attempted, solved, reviewed)
  • Mistakes + review date
  • Pattern used (binary search, 1D DP, etc.)

Automation Hacks

  • Color-code tags by topic
  • Add “first try success rate” each week
  • Track time per difficulty to spot bottlenecks

Milestones I Used to Know I Wasn’t BS’ing Myself

These were the personal checkpoints I used less for flexing and more to determine whether I am actually improving or just scrolling on LeetCode.

  • 50 problems: Easy stuff feels, well… easy.
  • 100 problems: Trees and linked lists don’t scare you.
  • 150 problems: DP and sorting/searching? You’ve got reps.
  • 200 problems: You can do a mock onsite set without imploding.

If you plateau, drop new topics and revisit what you fumbled. If you're ahead? Time yourself and raise the difficulty.

Stuff That Helped Me Stop Plateauing

These aren’t magic tricks. They’re just what made the difference between “I kinda get it” and “I can explain this clean in an interview.”

  • Timebox to 30 minutes per problem. Review after.
  • Create a pattern notebook that includes examples and pseudocode.
  • Re-solve after 7 and 30 days. Memory is spaced repetition.
  • Code in your primary interview language. Translate later.
  • Mock with friends. Or talk to your rubber duck.

My Pre-Interview Problem Checklist

Before every session.

  • Say the problem out loud in my own words.
  • Identify constraints and the likely pattern.
  • Write out a plan + test cases.
  • Code with edge cases in mind.
  • Run + refactor.
  • Log it in the tracker and schedule a review.

Must-Solve Set for Weeks 1–2

You want to get moving? Start here.

  • Two Sum
  • Best Time to Buy and Sell Stock
  • Valid Parentheses
  • Palindrome Number
  • Linked List Cycle
  • Reverse Linked List
  • Merge Two Sorted Lists
  • Maximum Depth of Binary Tree
  • Climbing Stairs
  • Binary Tree Inorder Traversal

Questions I Asked Myself Every Time I Solved a Problem

  • Can I explain this cleanly to a human?
  • Where did I waste the most time?
  • What pattern popped up again and again?

Random Stuff That Helped

  • Tag filters are your friend. Use them.
  • Make a one-pager with time complexities and traversal templates.
  • Schedule a mock interview every few weeks and ramp up the pressure as interview season approaches.

End each week with a short review. Update your tracker. Adjust goals. No secret sauce. Just reps, reflection, and not lying to yourself.

Related Reading

How to Get Started with DSA and Practice LeetCode Efficiently

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Prologue: The Four Phases of LeetCode (a.k.a. the “Can I Actually Do This?” Era)

When I started doing LeetCode, I didn’t even know what a stack was. I thought it was something you bought at a gym supplement store. I wasn’t some born genius grinding DP in middle school. I just didn’t want to bomb every tech screen that came my way.

So I broke the journey into 4 phases. Not because I like anime (I do), but because it helped me make sense of the chaos. Here’s how I think of it:

Phase 1: Super Saiyan 1

You know a language, but DSA feels like a foreign language.

Phase 2: Super Saiyan 2

You’ve done a couple of hundred problems, but still get wrecked by mediums.

Phase 3: Super Saiyan 3

You know the theory, but get crushed in contests and can't brute force your way through hard.

Phase 4: Ultra Instinct

You're calm in the storm. You solve, teach, and don't flinch when graphs come up.

So where are you right now? Be honest. The goal isn’t to “catch up,” it’s to stop wandering and start solving like it matters.

Phase 1: You’re New, Here’s How to Not Waste Time

Back when I was in this phase, watching 3-hour YouTube videos counted as progress. It doesn’t.

Your Real Goals Here

  • Learn how to get a problem accepted on an online judge (yes, that means understanding TLE and WA).
  • Stop skimming problems. Read the I/O format and constraints, like your internship depends on it (because it does).
  • Turn a vague “I think I get it” into actual, working code.

Topics To Knock Out In Order

  • Arrays
  • Strings
  • Matrices
  • Basic math tricks
  • Stacks
  • Queues
  • Recursion basics
  • Sorting + searching
  • Linked lists
  • Binary trees
  • Big-O thinking (not just saying “log n” in a monotone)

How To Train

  • Only touch Easy problems. Seriously.
  • For each topic, solve 25–30 handpicked problems in order of difficulty.
  • Practice like it’s brushing your teeth, short daily blocks (30–45 min) > routine > heroic sessions.

Tips That Actually Work

  • Don’t hoard tutorials. Pick one per topic, move on.
  • Ask yourself, “What breaks this code?” before hitting submit.
  • Track stuff: how many you attempted, solved, what went wrong, etc.

Phase 2: You’re Mid-Level, Don’t Plateau Here

This is the phase where most people stall out. They farm Easy problems and wonder why interviews still suck.

What Changes Here

  • You’re shifting to Mediums.
  • You still do Easys sometimes, but only to warm up or review.
  • Start doing contests (you’ll suck at first, it’s fine).

How I Approached It

  • Think in ladders. You already climbed the first. Now build the second with medium-level patterns.
  • For each new topic, hit 25–30 Mediums and sprinkle in 10–15 Hards.
  • Keep the Medium hard ratio at about 3:1 for more volume and less pain.

Topics I Struggled With (And You Probably Will Too)

  • Bit manipulation
  • Sliding window
  • Hashing tricks
  • Monotonic stacks
  • Backtracking
  • Greedy stuff that looks obvious and ends up being evil
  • Graphs and basic DP

Contests = Free Reps Under Pressure

  • Attend one per week (LeetCode weekly is fine).
  • After each, take a walk, then come back and re-code the ones you failed without copying.
  • Keep a “mistake log.” Trust me.

Phase 3: You’re Decent, But Hards Still Own You

This is where I almost quit. I thought solving a few Hards meant I’d made it. Then I hit back-to-back failures and realized I didn’t actually understand the techniques I was just brute-forcing my way through luck.

What You Need Here

  • Intentionally pick Hard problems. If it scares you, try it.
  • Choose problems from topics you’ve seen before, but now with twisted variations.
  • Use contests as your gym. Reproduce top-rated solutions from memory. Try three approaches for one problem.

Phase 4: You’re Dangerous, Now What?

This isn’t some magical phase where you feel “done.” You won’t. But things stop feeling random. You recognize patterns on sight. You teach others. You start curating your own sets.

Your Leetcode Sessions Look Like This Now

  • 60% targeted review
  • 30% new problems
  • 10% speed practice or contests
  • You’re not just chasing solves. You’re sharpening instincts.

Design Your Week Like It’s a Workout Plan

This is what worked for me when I was prepping for Meta:

  • 45–90 min/day, not more consistency wins
  • 5 solve days, one review day, one light reading or rest day
  • Always keep a backlog of “problems I got wrecked by”
  • One well-studied problem > five rushed solves
  • If you fail a problem, re-code it from scratch after understanding the right approach. That’s where the gain lives.

Bottom Line

You don’t need a fancy setup. You need daily reps, honest tracking, and the humility to suck before you get good. That’s it. Let’s keep going. Phase by phase.

How I Actually Practice Problems (Without Burning Out or Wasting Time)

Let me be real, most people “practice” like they’re cramming for an exam they’ll never take. Scroll. Click. Glance at the editorial. Feel bad. Close tab. Repeat.

That was me at 19. And it got me nowhere.

What changed everything? I started treating each problem like a sparring match. You don’t get better by watching someone else throw punches. You get better by getting hit, swinging back, figuring out why your left hook sucked, and trying again.

Here’s the system I use, and I call it the 40/20 Method. It helped me go from "noob flailing at easy problems" to landing internships at Amazon, Meta, and TikTok. It works because it respects your brain's limits and forces you actually to think.

Don’t Just Read Solutions. Fight the Problem First.

  • Work on the problem for 40 minutes before peeking at tags. Let your brain cook.
  • Still stuck? Give yourself 20 more minutes based on tag hints.
  • If you can’t crack it after that, read the top discussion post and try again.
  • Every time you hit AC, write down what actually helped, not just the final code.

The 40/20 Method (My Default Routine)

Step 1: Read + Sketch Ideas (2–5 Mins)

Don’t rush. Get the vibe of the problem. Jot down what it’s asking, mentally strip the fluff, and think through constraints.

Step 2: 40-Minute Rule

Set a timer. Go heads down for 40 minutes with zero tag-peeking. The goal is to reach a partial solution or some structure, anything. Doesn't have to be pretty.

Step 3: 20-Minute Tag Sprint

Still blank? Now check the tag. One tag. Set another 20-minute timer. See if it clicks. Try something from a different angle.

Step 4: Research Like a Hacker, Not a Tourist

If you're still lost, hit discuss. Read one high-voted explanation. Don’t copy-paste. Instead, draw a test case. Run it through the steps manually.

Step 5: Code by Hand

Write your own version. Even if it’s 90% the same, forcing yourself to retype and reason through it sticks way better.

Step 6: Post-AC Bonus Round

After AC, scan for alternative approaches. Pick one and try implementing it. Keeps your brain flexible and builds range.

Questions I Always Ask Mid-Problem

  • “What pattern is hiding in here?” (Two pointers? DP? Graphs?)
  • “What breaks my approach?” (Time/space complexity? Edge case?)
  • “Could I explain this solution to a junior?” (If not, I probably don’t fully get it.)

What to Write Down (Yes, You Should Take Notes)

Forget walls of text. Keep it simple.

  • One sentence on the main idea/pattern
  • Why naive solutions fail
  • What makes the optimal one tick (trick, insight, data structure)

Bonus

Save the problem in a file like sliding_window.txt and write 2-3 lines under the problem in the file. This turns into gold when you're reviewing later.

My Repo + Note System

The point isn’t to be fancy. The fact is to remember.

  • I keep topic-specific text files with short blurbs for each problem.
  • All my messy, struggled-through ACs live in a GitHub repo.
  • I add a quick comment in the code that says what helped me crack it (not just “sliding window,” the actual thought process)

Then I block off 30 minutes once a week to review these. No pressure. Just scrolling through, clicking around. It helps way more than I thought it would.

Contest Strategy (What I Learned from Losing… A Lot)

During The Contest

  • Sit your butt down and don’t move.
  • Read everything once. Pick the problem that doesn’t terrify you.
  • Think with pen and paper, code after.

After The Contest

  • Take a walk. Then come back and re-implement solutions from the discussion.
  • Log what went well, what didn’t, and what you’ll fix next time.
  • Track recurring Ls. Make it homework.

When a Problem Feels Like a Wall

We’ve all been there. Blank for 40 minutes. Nothing works like confidence tanks.

Here’s how I handle it:

  • Add it to a Stuck.txt or LeetCode todo list. Walk away for 2 days.
  • Reopen fresh. Try without help. If still stuck, learn the tag topic.
  • Try again for 20–30 minutes. Still not working? Read the editorial, then re-implement from memory.
  • Do 10–15 related problems under that tag to lock it in.

Basically, don’t let one problem live rent-free in your head. Turn it into a pattern you own.

Using LeetCode Like a Weapon (Not a Scroll Feed)

  • Create topic-specific lists.
  • Practice by tag and difficulty, mixing mediums with occasional easies to reset.
  • Company tag? Use it to prioritize high-yield problems.
  • Use practice mode, mock interviews, and frequency sorting.
  • Avoid trick problems. Pick ones with real pattern payoff and solid discussion threads.

How I Know a Practice Session Was Worth It

  • I can explain the idea to someone else
  • I remember the intuition tomorrow
  • I use the same trick on a different problem, and it works

If none of those happen? It didn’t stick. I’ll re-implement or schedule a redo.

How I Write Notes That Actually Help Later

  • One topic per file (e.g., two_pointers.txt)
  • Each entry = problem ID + 2–3 line summary
  • Code in GitHub repo with absolute filenames and short intuition comments

No fancy Notion dashboard. Just plain text that I actually read.

Checklist for Every LeetCode Problem I Solve

  • Read and rephrase the problem.
  • Identify constraints. Pick approaches.
  • 40 min deep work → 20 min tag-guided push
  • Still stuck? Read one discussion post, try again
  • Debug hard. Submit. Fix WAS.
  • After AC, read alternatives and re-implement one
  • Take notes + push to GitHub + review later

Final Prompts (Try These)

  • What’s the one pattern that keeps tripping you up?
  • Can you block 45 mins in the morning this week to fix it?

Pick a phase. Pick a topic. Run this routine for 2 weeks. Log your progress like it’s gym reps. You'll start seeing patterns before the question even loads.

That’s when it gets fun.

Related Reading

General Tips for Your LeetCode Journey

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Make It Boringly Consistent: One to Three Problems a Day, No Excuses

You don’t need to be a genius. You just need to be annoying. The kind of annoying where you show up every damn day and chip away at the same thing until it stops being scary. For me, it started with solving just one LeetCode problem a day. That’s it. I’d sit down, crank through a question (sometimes two or three), and call it. The trick? I didn’t skip days. Not for birthdays. Not for burnout. Not for “I’ll do double tomorrow.”

Start small. Arrays and strings first. Then pointers, stacks, and queues. Trees come later. Graphs? When you’re feeling brave. Don’t start with challenging problems unless you enjoy pain. Stick to easy and medium, with a hard one thrown in just to keep you honest.

Block time on your calendar like it’s a meeting with your future job offer. Make it sacred. No “I’ll get to it later.” That’s a lie you tell yourself before scrolling Reddit for an hour. Pick two days this week. Put them on your calendar. Done.

Practice Like It’s Game Day: Timed Sessions or Nothing

Solving problems when you have all the time in the world is cute. But interviews don’t work like that. Clock’s ticking. Interviewer’s staring. Your brain? Melting.

That’s why I forced myself into timed sessions once I had the basics down. I’d set a 45-minute timer, pick a medium problem, and try to talk through it as if someone was watching because eventually, someone would be.

Here’s how I kept it honest:

  • Mediums 45–60 min
  • Easies 20–30 min
  • No Googling. No peeking. No mercy.

After each one, I’d track where I froze up, what patterns I missed, and which “obvious” edge cases punched me in the face. Over time, I got faster, not because I studied more, but because I started thinking like the interview was already happening.

Look Back, Not Just Forward: Review What You Solved

The first time you solve a problem? That’s just the warm-up. Real growth happens the third or fourth time you revisit it and realize your original code was trash. I kept a spreadsheet. Yeah, a boring spreadsheet. Problem name, topic, what tripped me up, what I learned, and a “note to future me” on how not to screw it up next time.

Every week, I’d re-solve 2–3 old problems without hints and try to write cleaner, tighter code. Did it suck sometimes? Yes. Did I want to skip review sessions? Also yes. But this is how you stop brute-forcing and start recognizing patterns before they even finish reading the question.

Want Pain? Do Contests

Contests are chaos. You’re on a timer, the questions are weird, and nothing is where it should be. Perfect.

I started doing LeetCode contests because I was tired of feeling good about my slow, careful problem solving… and then getting destroyed in real interviews. Contests forced me to make decisions fast. Pick a problem. Read it once. Decide if I could do it. Move.

Afterward, I’d dig through editorial solutions like a sore loser looking for excuses, except the excuses turned into insights. I started seeing repeat patterns and new tricks. Smarter approaches.

If you haven’t done a contest yet, schedule one this week. Treat it like a stress test, no pressure except all of it.

Don’t Code Alone: The Internet Is Full of Strangers Who Will Help You for Free

I used to think I had to do this alone. But turns out, forums are full of brilliant nerds who’ve already made every mistake you’re about to make.

I posted my ugly code. Got roasted and got better.

I joined study groups. Paired up with strangers. Screen-shared during mock interviews with people I’ll never meet in real life. Some of them became friends. Some of them gave me better prep than paid coaches.

Pick one thing to do this week:

  • Post a solution
  • Ask a question
  • Review someone else’s code and say something useful

That one action will teach you more than another solo session in your Investigational Device Exemption (IDE).

This Isn’t Just Interview Prep. It’s Rewiring Your Brain.

Look, LeetCode isn’t a phase. It’s a skill you stack slowly, brick by brick. It’s not just about passing a loop test and grabbing a job. It’s about becoming someone who can solve weird problems calmly, over and over again.

I tracked my growth with stupidly simple metrics:

  • Of problems solved per topic
  • Avg time to solve
  • Contest ranks over time
  • First-pass accuracy

The progress was slow. Sometimes invisible. But it compounded.

I set monthly goals. Not flashy ones. Just, “solve 50 problems this month and revisit 10 old ones.” At some point, I looked back and realized I didn’t recognize the version of me that used to get wrecked by bare trees.

This week, choose one habit you’re going to stick with. One. Then let time do its thing.

Nail Coding Interviews with our AI Interview Assistant − Get Your Dream Job Today

Let’s get one thing straight: I’m not building anything that helps people fake their way through interviews. If you plan to copy-paste code while pretending you know what you’re doing, we’re not on the same team. That kind of stuff ruins trust, wastes interviewers’ time, and ultimately hurts the people who actually put in the work.

What I will build is a tool that makes you faster, sharper, and calmer under pressure, the kind of help I wish I had when I was grinding for my Amazon and Meta interviews. You want to train smarter? Cool. You want to cheat? Go elsewhere.

Stop Grinding LeetCode Like a Zombie

Most people “practice” by hammering random problems until they burn out. I did that for months. It doesn’t work. The better way? Go topic by topic. Start with arrays and strings, then move through hash tables, recursion, trees, and graphs. Study patterns, not problem IDs.

Don’t chase numbers. Solve 15–25 solid problems a week and actually review them quality reps compound. Keep a note on time and space complexity. Review what tripped you up. That’s how you get dangerous.

What InterviewCoder Actually Is

Interview Coder isn’t a cheat code. It’s an AI coach. It helps you think through problems step-by-step, provides hints when you’re stuck, offers mock interviews that simulate pressure, and gives feedback that shows where your logic breaks.

I built it to train pattern recognition, not to shortcut it. You can’t fake calm thinking under pressure. You can only train it.

Honest Features That Actually Help You Get Better

  • LeetCode roadmap sorted by topic and difficulty.
  • Practice sets that cover common patterns like sliding window, greedy, and DP.
  • Timed mock interviews with honest feedback
  • Hints that guide, not spoon-feed
  • Feedback on time complexity, edge cases, and space usage
  • Progress tracking that surfaces your weak spots
  • Whiteboard mode for pair practice or behavioral questions

Everything is built to help you learn, not to get you past a recruiter once.

Building Credibility Without Fake Promises

Don’t say “guaranteed offers.” Don’t say “undetectable.” Share what’s real: number of users who improved their mock scores, how long it took them to get callbacks, and what kind of companies they interviewed with.

That’s the kind of story people believe because it’s true.

Copy That Sells Without Selling Out

Try these lines instead of fluff:

  • “Interview Coder, your AI coding coach for practice and mock interviews.”
  • “Train smarter on the LeetCode roadmap with feedback that actually teaches.”
  • “Used by thousands of devs who want to think faster under pressure.”

Clean, honest, direct. You don’t need buzzwords when the product actually helps.

How I Keep It Ethical

We’ve got clear rules. Do not use the tool during live interviews; no shady shortcuts. Every account signs an honor code. If we see suspicious use, it’s flagged.

There’s a reason I want Interview Coder to help real engineers get better, not get banned.

A Six-Week Practice Plan That Actually Works

Week 1

Arrays, Strings, Two Pointers, Sliding Window

Week 2

Hash Tables, Sets, Frequency Maps

Week 3

Recursion + Backtracking

Week 4

Trees and Binary Search Trees

Week 5

Graphs and BFS/DFS

Week 6

Dynamic Programming + Full Mock Rounds

Each week, solve three problems a day, with spaced review and at least one mock interview. By week six, you’ll feel your brain start connecting the dots faster. That’s what progress looks like.

Copy That Keeps You Safe and Sells

Be confident. Be real. Use lines like:

  • “Interview Coder AI coaching that sharpens your coding instincts.”
  • “Guided practice and real feedback to track your progress.”
  • “Trusted by engineers who actually want to earn their next offer.”

If you want help writing a landing page or ad copy that maintains your integrity while still converting, send me your real data. I’ll help you write something that hits hard and stays clean.

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