Master system design interviews
with AI that thinks like a
FAANG staff engineer
Practice real system design discussions with company-specific intelligence. No coding problems, just deep architectural conversations.
Built by Ex-FAANG Staff Engineers
Our founding team has conducted 200+ system design interviews at Google, Meta, and Stripe
500+ Interview Hours Analyzed
Trained on real senior engineer interviews, not generic coding problems
Enterprise-Grade Security
SOC2 Type II compliant. Your interview practice remains confidential
Experience the Difference
Real-time system design discussions
Company-Specific Intelligence
Trained on engineering blogs and actual interview patterns from Google, Meta, Stripe, and more
Natural Conversation Flow
~200ms response time with interruption handling like real interviews
Adaptive Difficulty
Automatically adjusts based on your responses and target company level
"Let's design a distributed cache for a social media platform. What are your initial thoughts on the architecture?"
"I'd start with a Redis cluster for in-memory caching with consistent hashing for distribution..."
"Interesting approach. How would you handle cache invalidation across multiple regions?"
Alpha Results Speak Louder Than Words
From our first 100 senior engineers preparing for staff+ roles
73%
reach final rounds
vs 22% industry average
41%
receive offers
vs 3% industry average
$67K
avg salary increase
for accepted offers
3.2
interviews to offer
vs 8.1 average
Ready to join these successful engineers?
Reserve Your Spot Now →Built for Senior Engineers
Every feature designed specifically for L5+ interview preparation
10 Target Companies
Deep preparation for FAANG and top unicorns with company-specific technical culture insights
50+ System Designs
Real-world scenarios from distributed databases to global CDN architectures
Performance Analytics
Track your progress with detailed feedback on technical depth and communication clarity
Voice Conversations
Natural speech with ~200ms latency, interruption handling, and conversational flow
Staff-Level Thinking
AI trained on senior engineer interviews and architectural decision-making patterns
Weekly Updates
Fresh content from engineering blogs and latest system design trends
Loved by Senior Engineers
From our exclusive alpha testing program
"The AI caught my mistake when I suggested synchronous replication for a globally distributed cache. It helped me think through the latency implications - exactly like my actual Meta interview."
Sarah Chen
Passed L6 interview at Meta
"When I proposed using Kafka for Stripe's payment events, it asked about exactly-once semantics and dual writes. This level of detail matched my real Stripe staff interview perfectly."
Michael Rodriguez
Got Staff offer from Stripe
"It knew Uber uses H3 for geospatial indexing and asked how I'd handle hot shards in surge pricing areas. Way more realistic than other prep tools I've tried."
Priya Patel
L5 → L6 at Uber
Honest Assessment
We're transparent about what we do well and where we're still improving
✓ What We Excel At
- •Deep system design discussions that mirror real staff engineer interviews
- •Company-specific preparation with weekly updates from engineering blogs
- •Natural conversation flow with <200ms latency
- •Focus on architecture trade-offs, not memorized solutions
- •Built by ex-FAANG staff engineers who know the process
✗ Current Limitations
- •Limited to 10 companies initially (expanding based on demand)
- •No coding problems - purely system design focused
- •English-only during alpha phase
- •Requires stable internet for voice conversations
- •Premium pricing ($97/month) may not suit all budgets
We believe in setting realistic expectations. If these limitations are deal-breakers, we'd rather you know now than be disappointed later.
Still interested? Join the alpha program →Frequently Asked Questions
Real answers for senior engineers considering our platform
How is this different from ChatGPT?
ChatGPT is a generalist. We're trained specifically on 500+ hours of actual FAANG staff engineer interviews, company engineering blogs, and architecture documents. Our AI knows that Google uses Spanner, not DynamoDB. It understands Uber's H3 hexagonal grid system. It challenges your designs like a real interviewer, not a helpful assistant.
Which specific companies are covered?
Alpha launch includes: Google, Meta, Amazon, Apple, Microsoft, Stripe, Uber, Airbnb, Netflix, and Databricks. Each company module includes their specific tech stack, architectural patterns, and interview style. We add new companies based on user demand.
Can I practice specific topics?
Yes. Choose from 50+ system design scenarios like 'Design WhatsApp', 'Design Uber', or 'Design a distributed cache'. You can also focus on specific areas: databases, messaging systems, CDNs, or microservices. The AI adapts to your target company's preferred solutions.
Is there a free trial?
We offer a 7-day money-back guarantee instead of a free trial. Why? Because serious senior engineers value their time more than $47. If you're not convinced within a week, we'll refund you completely - no questions asked.
How accurate is the technical content?
Very. We're built by ex-FAANG staff engineers who've conducted 100+ system design interviews. Our AI is continuously updated with the latest from engineering blogs and conference talks. When Redis introduces new features or Kafka changes its architecture, we know within a week.
Still have questions? Ask them in the form below.
Join the Alpha Program
Be among the first 100 senior engineers to experience TechInterview AI