Choose frontend, backend, or full-stack tracks, draw architecture diagrams, explain tradeoffs, receive automated feedback, and repeat weak areas.
51 practice prompts across 3 tracks · Diagram canvas · Rule-based validation · Expert solutions
Every concept is connected to practice tests and SD challenges. Concepts teach you the why; SD challenges test if you can apply it under interview conditions.
Study the concept with diagrams, key ideas, and write strategies
Reinforce understanding with topic-focused multiple-choice questions
Apply concepts to a full system design: requirements → diagram → trade-offs
Get rubric scoring, expert solution, and your next recommended prompt
Click through each screen below — the same flow you get inside the platform. Learn a concept, take an MCQ test, then jump straight into the linked design challenge.
Each track targets a different interview context and skill set.
React and Next.js architecture: components, routing, rendering, data fetching, state, accessibility, performance, and real-time UI.
APIs, service boundaries, database schema, caching, queues, auth, rate limits, monitoring, retries, and scaling.
End-to-end product flow: screens, APIs, payments, permissions, admin tools, deployment, failure handling, and cost.
The platform automates guidance, checking, scoring, comparison, and repetition. The learner still makes the design decisions.
Frontend, backend, or full-stack. Select difficulty and time.
The system picks a practice problem based on your weak topics and role.
Fill requirements, draw a diagram, define APIs, data model, and tradeoffs.
Platform checks missing components, weak flows, and incomplete sections.
Rubric score, expert solution, and next recommended prompt.
The system does not mark diagrams as simply correct or wrong. It validates whether you covered expected concepts, connections, tradeoffs, and failure cases.
Output: score, missing topics, strengths, expert answer, and next recommended prompt.
“The URL Shortener challenge exposed my blind spot around DB sharding. Reviewed the concept, retried with AI rubric feedback, and nailed the exact same question in my Google loop.”
Arjun M.
Backend Engineer — 2 yrs → Senior SWE at Google
“The forgetting-curve flashcards on CDN and caching locked in theory I kept forgetting. The 7-dimension rubric gave my whiteboarding structure — interviewers noticed immediately.”
Priya K.
Junior Frontend Dev → Mid-level Engineer at Stripe
“I went from blanking on tradeoffs to confidently discussing CAP theorem. The concept → practice → AI feedback loop is genuinely different from just watching YouTube talks.”
Dmitri V.
CS Grad, no SD interview experience → Cleared L5 System Design at Meta
Free access includes 5 system design prompts (beginner & intermediate), all concept pages marked Free, the diagram canvas, and rule-based validation feedback. AI evaluation and rubric scoring are Pro-only.
After you submit your design, our AI analyses it against a 7-dimension rubric: requirements, architecture, data model, scalability, failure handling, tradeoffs, and communication. You get a score, a per-dimension breakdown, specific strengths, and prioritised improvements.
Pro access is currently granted as early access with no expiry date. Since we're in early access, there is no payment required — we manually activate your account within 24 hours of approval.
We cover backend, frontend, and fullstack tracks across all difficulty levels. Problems include URL shorteners, notification systems, rate limiters, live comment feeds, CDN design, search autocomplete, and more — from beginner to staff-level complexity.
Since we're in early access with no payment required, there's nothing to refund. When we introduce paid tiers we'll offer a 7-day satisfaction guarantee.