Master Algorithmic
Reasoning
Train your intuition for constraint analysis, approach selection, and assumption spotting.
MCQ-based reasoning that separates adaptive learning from fair evaluation.
Don't just code.
Think.
Most platforms check if your code runs. We check if you understand why it runs efficiently.
def two_sum(nums, target):
seen =
for i, num in enumerate(nums):
diff = target - num
if diff in seen:
return [seen[diff], i]
seen[num] = i
What is the time complexity?
How It Works
A structured approach to deconstruct any coding problem.
Constraint Analysis
Identify hidden bottlenecks before writing a single line of code.
Pattern Recognition
Map requirements to algorithmic patterns (Sliding Window, DFS, DP).
Implementation
Convert logic to clean, optimized code with confidence.
The Complete Growth Engine
NxtDevs isn't just a question bank. It's a closed-loop system designed to identify, target, and eliminate your algorithmic weaknesses.
Mental Models, Not Just Syntax
We track 20+ cognitive axes—from Premature Optimization to Greedy Bias—to build your personalized thinking profile.
Ranked 1v1 Duels
Test your intuition against real opponents. Fair ELO matchmaking ensures you're always pushed, never overwhelmed.
AI-Powered Coaching
Get instant, personalized feedback on *why* your approach failed. It's like having a senior engineer review every submission.
two_sum accounts for O(n²), but the constraint N=10⁵ requires O(n).Global Mastery
Compete on the global leaderboard. Watch your rating climb as you master increasingly complex constraints.