interview-problem-bank

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Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Description 5%
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Skill Content

# interview-problem-bank A specialized skill for curating, organizing, and recommending coding interview problems, with support for company-specific preparation, pattern-based practice, and progress tracking. ## Purpose Provide a comprehensive interview problem bank with: - Problems organized by FAANG company and difficulty - Pattern-based categorization (Blind 75, NeetCode 150, etc.) - Difficulty progression recommendations - Coverage tracking and weak area identification - Premium problem alternatives ## Capabilities ### Core Features 1. **Problem Organization** - By company (Google, Meta, Amazon, Apple, Microsoft, etc.) - By pattern (Two Pointers, Sliding Window, DP, etc.) - By difficulty (Easy, Medium, Hard) - By topic (Arrays, Trees, Graphs, etc.) - By frequency (most asked in interviews) 2. **Curated Problem Lists** - Blind 75 (essential problems) - NeetCode 150 (expanded essential list) - LeetCode Top Interview Questions - Company-specific top questions - Pattern-specific problem sets 3. **Progress Tracking** - Problems solved by category - Weak area identification - Time spent per problem type - Success rate tracking - Spaced repetition for review 4. **Recommendations** - Next problem based on progress - Problems to strengthen weak areas - Company-specific practice plans - Time-based study schedules ## Problem Lists ### Blind 75 The essential 75 problems covering all major patterns: | Category | Cou...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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