Series: Smarter Coding Interview Prep
Why Random LeetCode Grinding Fails and What to Do Instead (1/3)
If you think solving 300 random LeetCode problems guarantees a job offer… think again.
Here’s why that strategy fails and how to replace it with a targeted approach that top engineers swear by.
The “Grind” Problem
❌ Forget patterns when problems aren’t grouped.
⏳ Waste time on low-frequency topics.
📚 Build short-term recall, not deep understanding.
💡 Top companies use pattern variations and without mastery, you’ll struggle.
Replace Random with a “Topic-First” Plan
🎯 Pick a topic (e.g., binary search).
📖 Learn the core principle.
🧩 Solve increasingly harder problems in that topic.
🔍 Review why you picked each approach and how to optimize.
Use the “Weighted Topic” Approach
🔥 High frequency: Arrays, Strings, Hash Maps, Graph Traversals, DP basics.
⚡️ Medium: Tries, Segment Trees, Union-Find.
❄️ Low: Rare advanced algorithms.
📊 Spend ~60% on high, 30% on medium, 10% on low.
Adopt a Time-Bound Plan
📅 Month 1: Core data structures & algorithms.
🏃 Month 2: Systematic practice + mocks.
🛠 Month 3: Weak areas + timed practice.
⏳ Short on time? Compress, but don’t skip fundamentals.
💡 Here's your challenge: ✍️ Write down your available prep time and list topics in priority order. Start with your #1 high-frequency topic tomorrow.
📌 Next in this Series: How to choose your interview programming language strategically.
Why Random LeetCode Grinding Fails and What to Do Instead (1/3)
If you think solving 300 random LeetCode problems guarantees a job offer… think again.
Here’s why that strategy fails and how to replace it with a targeted approach that top engineers swear by.
The “Grind” Problem
❌ Forget patterns when problems aren’t grouped.
⏳ Waste time on low-frequency topics.
📚 Build short-term recall, not deep understanding.
💡 Top companies use pattern variations and without mastery, you’ll struggle.
Replace Random with a “Topic-First” Plan
🎯 Pick a topic (e.g., binary search).
📖 Learn the core principle.
🧩 Solve increasingly harder problems in that topic.
🔍 Review why you picked each approach and how to optimize.
Use the “Weighted Topic” Approach
🔥 High frequency: Arrays, Strings, Hash Maps, Graph Traversals, DP basics.
⚡️ Medium: Tries, Segment Trees, Union-Find.
❄️ Low: Rare advanced algorithms.
📊 Spend ~60% on high, 30% on medium, 10% on low.
Adopt a Time-Bound Plan
📅 Month 1: Core data structures & algorithms.
🏃 Month 2: Systematic practice + mocks.
🛠 Month 3: Weak areas + timed practice.
⏳ Short on time? Compress, but don’t skip fundamentals.
💡 Here's your challenge: ✍️ Write down your available prep time and list topics in priority order. Start with your #1 high-frequency topic tomorrow.
📌 Next in this Series: How to choose your interview programming language strategically.
❤3