The DSA Tracker Journal
Strategy, sheet comparisons, and role-based roadmaps for cracking the DSA interview — written by the developer behind the tracker that reorders 370 curated problems around the role you’re actually preparing for.
Amazon is the most predictable big-tech loop a fresher can prepare for — but only if you know its actual lean: grids and graphs over exotic DP, a debugging section in the OA, and Leadership Principles that quietly decide SDE-1 offers. Here's the deep, Amazon-only plan.
LeetCode Premium's company tags cost roughly $35/month — and the moment you have an interview date, that paywall feels mandatory. It isn't. Here's how to reconstruct most of that signal for free, and the one thing Premium genuinely does better.
Google's coding loop has a specific shape — intervals, greedy, binary-search-on-answer, and communication scored almost as hard as correctness. Here's what to actually drill, what Googleyness means, and how it differs from Amazon.
Off-campus is a different game from on-campus — no college filter, far more competition per seat, and your resume has to survive an ATS before anyone sees your DSA. Here's a plan that accounts for all of it.
Students over-prepare hard DSA for mass recruiters and under-prepare the aptitude + fundamentals that actually decide TCS NQT, Infosys, and Wipro outcomes. Here's the realistic bar.
Backend interviews weight DSA differently from frontend — and add system design, databases, and concurrency on top. Here's the realistic split so you don't over-grind one half.
You don't need a CS degree to talk complexity in an interview — you need to recognise a handful of patterns and reason out loud. Here's the practical version.
Strong React developers still bomb the coding round when they grind the wrong half of DSA. Frontend interviews go wide and practical, not deep and exotic — here's exactly what to study and what to skip.
A data analyst, a data scientist, and an ML engineer face wildly different coding bars. Most advice flattens them into one. Here's how much DSA each actually needs — so you spend your weeks on the right thing.
Amazon, Google, and Microsoft don't ask the same DSA. Here's what each actually weights for freshers — and how to filter your sheet down to one company's high-frequency patterns instead of grinding all 370.
Three of the most-recommended DSA lists on the internet, side by side. Which to grind depends on your timeline and whether you want a curriculum or a minimal hit-list — here's the honest call.
C++ is fast, Java is explicit, Python is short. But interviewers grade your problem-solving, not your syntax. Here is how to pick the one language you'll actually stick with.
Service companies reward aptitude and easy-medium coding; product companies demand real DSA depth. Here's the two-tier prep map, plus a switch roadmap.
You can't re-solve 370 problems in seven days, and you shouldn't try. Here's a spaced-repetition revision system that targets only your weak patterns — fast.
The number isn't 1000. It's closer to 150 — if they're the right 150. Here's why people who grind 500 problems still freeze in interviews, and how to fix it.
A correct solution isn't a passed interview. Here are nine mistakes that sink freshers anyway — coding before clarifying, silent problem-solving, skipped complexity — each with the fix.
Interviewers reuse a small set of solution patterns. Learn the recognition triggers — 'sorted array + pair' means two pointers — and you stop solving problems one at a time.
Not every role tests the same data structures. Here's what frontend, backend, data, and generalist SDE interviews actually weight — and what you can skip.
Three sheets, three philosophies. We compare Striver A2Z, Love Babbar 450, and Apna College on size, structure, and difficulty — and who each is genuinely best for.
Ninety days is enough — if you don't waste the first sixty on arrays. A realistic, phase-by-phase plan with daily targets and a revision cadence that actually sticks.
A small set of patterns covers the vast majority of interview questions. Here are the 21 topics, ranked by frequency, so you master the high-yield ones first.