Stop Guessing. Start Knowing.
Generate a personalized Delhi University preference list using your CUET score, category, and real admission data. No guesswork. No regrets.
Why most students
get their preferences wrong
Four failure modes that cost students their dream college — every year.
Admission intelligence,
engineered for DU
What your report looks like
One report. One fee.
Zero recurring cost.
Santosh Kumar
After seeing thousands of students make preventable preference ordering mistakes during DU CSAS counselling, I built Knowledge Knockoffs to make data-driven admission guidance accessible to every student — not just those who can afford expensive coaching.
This platform is built on real cutoff data, category-specific intelligence, and a genuine desire to ensure that your college seat reflects your actual potential — not a poorly ordered preference list.
Aniket Mandal
By specializing in microeconomics and development economics, I realized the college allocation process was essentially a complex market matching problem. I engineered the core analytical model of this platform to resolve that exact inefficiency.
By leveraging precise data organization structures—similar to advanced digital habit tracking systems and performance visualization models I've developed previously—we created an engine that analyzes historical seat matrices with rigorous mathematical precision. This tool isn't just about guessing; it's about optimizing your academic future with high-fidelity accuracy.