NxtDevsNxtDevs
Thinking-First Coding Platform

Master Algorithmic
Reasoning

Train your intuition for constraint analysis, approach selection, and assumption spotting.MCQ-based reasoning that separates adaptive learning from fair evaluation.

Next.js
TypeScript
Tailwind
Python
FastAPI
PostgreSQL
OpenAI
React
Next.js
TypeScript
Tailwind
Python
FastAPI
PostgreSQL
OpenAI
React
Next.js
TypeScript
Tailwind
Python
FastAPI
PostgreSQL
OpenAI
React
Next.js
TypeScript
Tailwind
Python
FastAPI
PostgreSQL
OpenAI
React
Live Challenge

Don't just code.
Think.

Most platforms check if your code runs. We check if you understand why it runs efficiently.

Try the challenge →
snippet.py

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.

Greedy Bias84%
Constraint Checking42%
Edge Case Detection91%

Ranked 1v1 Duels

Test your intuition against real opponents. Fair ELO matchmaking ensures you're always pushed, never overwhelmed.

You
1423
VS
Opp
1450

AI-Powered Coaching

Get instant, personalized feedback on *why* your approach failed. It's like having a senior engineer review every submission.

AI CoachYour logic for two_sum accounts for O(n²), but the constraint N=10⁵ requires O(n).
Try using a hash map to store complements.

Global Mastery

Compete on the global leaderboard. Watch your rating climb as you master increasingly complex constraints.