DSA ChampLearn DSA. Prove how you think.
DSA Champ grades how students think, not just whether their code runs — and gives every placement cell a live readiness score for its cohort.
AI coaching: Your two-pointer approach is optimal — you named the O(n) bound and the invariant. Tighten the edge case on an empty window.
Students drill for output. Colleges fly blind.
Interviews reward reasoning, aptitude, fluency and now AI skills — but the tools students use only check whether code passes tests, and placement cells have no data on who's actually ready.
Wrong thing optimised
LeetCode-style platforms grade only pass/fail. Real interviews reward approach, complexity and communication.
No cohort visibility
T&P cells can't measure readiness — no per-student, per-skill data, no benchmark, no early at-risk signal.
The bar moved
Drives now span DSA + aptitude + language/SQL fluency + AI-era skills. No single tool prepares across all of it.
Reason first. Then code. Get two scores.
The signature loop: students write their approach before the editor unlocks, so we can grade the thinking independently of the code.
Write the approach
In a Notepad, the learner explains how they'll solve it — the plan, the complexity, the edge cases.
Notepad locks
The approach locks before the code editor unlocks — enforced server-side, so the thinking is captured first.
Code & run
They write and run code against a sandboxed judge with no network — real execution, safely isolated.
AI dual-score
AI grades reasoning and code as two scores, with elaborated coaching: the mistake, the fix, and why it's better.
Every attempt earns a Thinking Score and a Code Score.
Clear, well-argued reasoning scores well even if the code fails. Lucky-but-opaque code doesn't. That's the pedagogy competitors don't have — and it mirrors how real interviews judge candidates.
Reasoning, approach & complexity
Correctness from the judge verdict
Everything a modern drive tests — in one place
Each track is a guided path of topics with mastery-driven progress, interactive visual lessons, and reasoning-first practice.
DSA
Arrays → graphs → DP. Dual-score practice on every problem.
Aptitude
Quantitative · Logical · Verbal — the drive's opening round.
CS Fundamentals
Python · Java · SQL — language and database fluency.
Emerging Tech
Machine Learning · Agentic AI · Prompt Engineering.
Students get ready. Placement cells get the data.
One platform, two products — students practise; the T&P cell sees readiness in real time.
For students
Climb the path, practise reasoning-first, and watch your Placement Readiness rise.
For the placement cell
A live readiness data product — measure the cohort, catch risk early, shortlist for recruiters.
A complete readiness platform — already live
Running in production on AWS, with AI grading and live cost monitoring.
Interactive Visual Learning
Animated, step-through concept lessons — watch a binary search or a SQL join, then practise it.
Mock Drives
Timed, company-pattern assessments that mirror the real placement round.
Student dashboard
PRI, dual-score trends, streaks, a proficiency heatmap and weak-area focus.
T&P console
Cohort readiness, leaderboard, student roster and printable readiness reports.
Reasoning lock
The notepad lock is enforced server-side — the dual score is the contract, not a client trick.
Provider-swappable AI
Grading is isolated to one service; the key never touches the app, and the model can be swapped.
Step in and see it
Pick a side — the demo cohort and logins are ready for a walkthrough.
Learn & compete
Climb the path, practice reasoning-first, build your Placement Readiness.
Track & shortlist
Monitor cohort readiness, flag risk, and build recruiter shortlists.
Make your batch placement-ready — with data.
Start a pilot this term. Every student gets a readiness score; your cell gets a live cohort dashboard.