Built by ex-FAANG / MAANG engineers

Practice the interview,
not just the problem.

Solve. Explain. Get challenged. Improve. Repeat. Tell us when your interview is and get a day-by-day program — real problems with hidden tests in 21 languages, system design under interviewer pressure, and AI mocks that push back.

75

Problems with hidden test suites

45

Guided interview simulations

21

System Design Case Studies

21

Programming Languages

One simple price

Every problem, case study and walkthrough is free — no subscription, no membership. You pay only for a graded interview, and your first one is free.

See pricing

Your Prep Journey

1

Data Structures & Algorithms

Arrays through red-black trees, code in 3 languages

2

System Design Case Studies

Bitly to LLM inference serving at scale

3

AI Mock Interview

Live conversation, graded like a real panel

4

Walk in ready

Every round covered, start to staff+

Overall readinessSign in to track

Covers interview patterns asked at

GoogleMicrosoftAmazonMetaNetflixApple

Interview Mode

All learning content is free. Pay only for interviews.

Every case study, walkthrough, all 75 problems and all 45 interview simulations are free forever. When you want the real thing — an AI interviewer that challenges your approach, hidden tests, a hire/no-hire report — your first interview is free, then €10 per practice session or €30 per full simulation. No subscription, and no membership on sale. See the full pricing.

Take your free interview

New - Premium Labs

Deep dives on caching, CDNs, AI agents, and systems languages

Free narrative walkthroughs, diagrams, and interview prompts on the architectures senior engineers discuss every week.

Caching & Redis

Redis-Powered Caching Playbook

Design write-through, write-back, and request coalescing layers that keep tail latency predictable even when upstream databases run hot.

Pick the right eviction strategy (LRU, LFU, TTL buckets) based on key churn.

Model cache warming, fill retries, and cache stampede protection with Redis primitives.

Instrument cache hit ratios by route and fall back smoothly when Redis is degraded.

CDN & Edge

Modern CDN Internals

Explain TLS termination, POP hierarchy, and cache invalidation with the rigor expected from staff-level system design interviews.

Describe how edge POPs negotiate SSL, compress assets, and stream video segments.

Model regional failover plans when an entire ISP or POP cluster goes dark.

Map CDN observability: RUM beacons, synthetic probes, and log aggregation.

AI Agents

LangChain Agent Patterns

Ship reliable AI copilots by mixing tool calling, memory stores, and guardrails across LangChain’s abstractions.

Pick the right agent executor (ReAct, OpenAI Tools, Multi-Vector) for each workflow.

Persist short- and long-term memory with Redis, Postgres, or Chroma.

Add guardrails (output validators, semantic filters) before returning responses.

Your Path to Top-Tier Engineering

FAANG Career Guidance

Navigate the competitive landscape of top tech companies with proven strategies for resumes, interviews, and offer negotiation.

Cutting-Edge Tutorials

Stay ahead of the curve with tutorials on the latest in-demand technologies, from LLMs to cloud-native architecture.

Guidance from Industry Builders

Tap into lessons forged while shipping large-scale systems at Google, Microsoft, SAP, and high-growth startups.

Core Focus Areas

Algorithms

Understand the core logic and problem-solving techniques that are the foundation of efficient software.

Data Structures

Learn how to organize, manage, and store data effectively for optimal performance and access.

System Design

Architect scalable, reliable, and maintainable systems for real-world applications like Uber and YouTube.

Expert Insights

Gain knowledge from a decade of experience at industry giants like Google and Microsoft.

Interview Prep Hub

Beginner to Staff+ interview preparation

Quick links into AlgoMindset's most popular tracks. Mix and match algorithms refreshers, FAANG-ready system design, and AI-agent labs to cover every round.

Data Structures & Algorithms

Beginner-friendly roadmap

Master arrays, graphs, DP, and sliding window patterns with annotated code in JavaScript, Python, and Go.

System Design & FAANG

War room case studies

Practice sizing, API design, and failure drills with case studies on Bitly, Uber, YouTube, LinkedIn, and more.

AI Agents & Automation

LangChain, LangGraph, n8n

Build production-grade copilots and automations with tool calling, memory stores, guardrails, and orchestration.

Career Stories

Behavioral & negotiation prep

Use the newsletter + premium prompts to rehearse STAR stories, leadership principles, and offer discussions.

FAQ

Frequently asked questions

Is AlgoMindset free to use?

Yes. The data structures roadmap, all 75 essential problems with the in-browser judge, the interview question bank, the system design case studies, guided practice, and the blog are free. You pay only for AI interviews: your first one is free, then €10 per practice session or €30 per full simulation — no subscription.

What do paid interview sessions include?

Every session runs Interview Mode: an AI interviewer that makes you state your approach before the editor unlocks, challenges your reasoning, runs your code against a full hidden test suite in a live editor, applies time pressure, and ends with an 8-dimension hiring report — verdict with evidence, your biggest issue, and targeted practice assignments. €10 practice sessions and €30 full simulations; your first interview is free. Anyone who bought a legacy lifetime membership keeps unlimited access.

How do the AI mock interviews work?

You choose a company tier (FAANG, MAANG, mid-tier, or startup-style), an interview type (DSA, system design, behavioral, or experience-based), and a difficulty level. An AI interviewer asks questions and pushes follow-ups based on your answers, and coding rounds include a live editor with runnable tests. Every session ends with a hire/no-hire style verdict, a strengths-and-weaknesses breakdown, and a performance heatmap.

What topics does AlgoMindset cover?

Data structures and algorithms from arrays through red-black trees and heaps, 60+ curated interview questions grouped by pattern, system design case studies spanning classic infrastructure like Bitly, Uber, and YouTube alongside 2026-era AI infrastructure like RAG pipelines, multi-agent orchestration, and LLM inference serving, and a blog covering AI engineering and FAANG interview prep.

Is the content updated for AI and agentic system design interviews?

Yes. AlgoMindset added dedicated system design labs for multi-agent AI orchestration, retrieval-augmented generation (RAG) pipelines, and LLM inference serving at scale specifically to match what AI-engineering interviews ask in 2026, alongside the classic system design case studies.

How is AlgoMindset different from a plain question bank like LeetCode?

A plain question bank is primarily a problem-solving practice tool. AlgoMindset pairs the same kind of question bank with full interviewer-dialogue walkthroughs, system design case studies with architecture breakdowns, and AI mock interviews that grade spoken and typed answers the way a real interview panel would, not just whether the code passes tests.