01
Start from the problem
No algorithm name on the slide. Sit with the constraint until the structure is obvious.
learn the stuff you actually need to build.
dsa, development, and ai/ml. Taught from first principles, with real problems and real systems.
dsa + dev
Explore →
ai/ml + dsa
Explore →
// start from the problem
temps = [73, 74, 75, 71, 69, 72, 76]
for i, day in enumerate(temps):
wait = days_until_warmer(i)
# stack of days still waiting
answer[j] = i - j
how we teach
Explore →
Don't sell hours.
Sell understanding.
The map comes after you enroll. What you buy is the method.
02
Mechanisms, not mnemonics
If people usually memorize it, we take it apart, build a tiny version, then show where it ships.
03
Math when it earns its place
AI/ML starts with a practical question. The formula arrives after you can feel why it exists.
2
courses. not a dump of modules.
₹533
dsa + dev with HACK11.
₹622
ai/ml + dsa with HACK11.
50
launch spots.
Two courses.
Pick one.
Launch prices. First 50 members get 11% off with HACK11.
dsa · development
dsa + dev
problems, systems, and the judgment in between.
- first-principles dsa on real problems
- development concepts from how they actually work
- lifetime access to the recordings
ai/ml · dsa
ai/ml + dsa
intuition first. math when it earns its place.
- practical ml from a problem, not a paper
- dsa the same way — struggle, derive, then code
- lifetime access to the recordings
FAQ
Is this just another recorded course?+−
The product is the teaching method, not a pile of hours. We start from a problem, struggle with the intuition, derive the approach, then write the code. You are buying that habit, not a playlist.
Why don't you show the full curriculum?+−
A syllabus is easy to copy and hard to trust. At launch you buy the way we teach. The map arrives after you enroll.
What is HACK11?+−
A launch cohort coupon. 11% off for the first 50 people who enroll. It is not a perpetual sale code.
Do I need to know everything already?+−
You should be comfortable writing basic code. We will not start from what a variable is. We will start from problems worth thinking about.
dsa + dev vs ai/ml + dsa — which one?+−
Building products and cracking implementation interviews: dsa + dev. Going into ml systems with the same first-principles habit: ai/ml + dsa. Both share the dsa spine.
How do I access the course after paying?+−
Razorpay collects your email at checkout. We send access to that address. Keep the payment id from the success page if you need help.