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In this video, we solve LeetCode: Count Subarrays With Score Less Than K, a problem that challenges you to efficiently count the number of valid subarrays under a custom score constraint using optimized techniques. 📌 In this video, you’ll learn: • How to define and compute a custom score function for subarrays • Why a sliding window or two-pointer approach works well here • Techniques to maintain and update running sums and window lengths • How to avoid brute-force by leveraging increasing score behavior • Time & space complexity analysis This problem is excellent for improving your skills in array manipulation, sliding window optimization, and subarray counting techniques, and is valuable for interview preparation and advanced competitive programming practice. 👍 Like the video if it helps 🔔 Subscribe to CodeHurdle for more clear and in-depth problem walkthroughs 👉 Problem Link: https://leetcode.com/problems/count-s... Practice More Problems on CodeHurdle: https://www.codehurdle.com Connect with CodeHurdle: 🌐 Website: https://www.codehurdle.com 🔗 LinkedIn: /106694691 📸 Instagram: /codehurdle.official 📺 YouTube: /@codehurdle #LeetCode #CountSubarraysWithScoreLessThanK #SlidingWindow #Arrays #Optimization #DSA #CompetitiveProgramming #LeetCodeSolution #CodeHurdle #InterviewPrep