Learn what matters. Skip what doesn't.
Interview prep and skill-building that adapts to your goal, your level, and the time you actually have.
Why KnowEase.AI exists
Most prep platforms hand every learner the same 300-item checklist. FAANG-in-two-weeks. Stay-sharp-forever. Just-switched-domains. Same list.
So people burn weeks on modules they already know, skim past the ones that matter, and quit before the interview.
We think prep should meet you where you are — and quietly get out of the way.
What you get
Five things we sweat over, so you don't have to.
A roadmap that's actually yours
Built from your goal, level, and time budget — not a copy of someone else's path.
A 5-minute audit
So you never re-learn what you already know. We meet you at your current level.
Depth across the stack
System Design, SQL, DSA, Data Engineering, LLMs, RAG, Agentic AI. One place, one loop.
Practice that teaches back
Coding, MCQs, and editorial notes wired together — not scattered across tabs.
Honest pricing
Free tier that's genuinely useful. Premium at ₹199/month when you're ready.
What we believe
Personal beats generic
A roadmap for “everyone” is a roadmap for no one.
Signal beats streaks
We won’t gamify your attention. We’ll respect your time.
Substance beats hype
Deterministic scoring, explainable feedback, no black boxes.
Who's behind this
Built by Tanmoy Dasgupta
11+ years across engineering roles at leading tech organizations.
I've watched sharp people struggle to prep — not because they lacked ability, but because the tools treated everyone the same. KnowEase.AI is the platform I wish I'd had: interactive, personal, and focused on the parts that actually move the needle.
Still solo, still shipping.
What's next
We're growing fast — new content, new topics, and roadmap upgrades landing every few weeks. Every addition is chosen for one reason: does it help a learner get to their goal faster?
Your feedback shapes what ships next.
- Flashcards with spaced repetition
- OO Design problem library
- Deeper coverage on Kubernetes, MLOps, ML System Design
- Community-contributed editorials
Coming soon