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Interview Coder
✓ verifiedPaid
AI tool for LeetCode interview prep with real-time coding assistance.
👁 167K/mo
Pricing
Professional Plan: $15/per user per month (Monthly) or $19/per user per month (Yearly)
Enterprise Plan: $35/per user per month (Monthly) or $39/per user per month (Yearly)
Enterprise Plus Plan: $55/per user per month (Monthly) or $59/per user per month (Yearly)
Custom Plan: On Demand
No public pricing
Interview Coder Free: $0/month
Interview Coder Pro: $25/month ($300 billed annually)
Interview Coder Pro: $60/month
No public pricing
Free trial available
Core features
- ✦Candidate Sourcing
- ✦Applicant Tracking System
- ✦Recruitment CRM
- ✦Candidate Enrichment
- ✦AI Recommendations
- ✦Collaboration & Activities
- ✦Reports & Analytics
- ✦Branded Career Page
- ✦Data Privacy Compliance
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- ✦AI-powered solution generation
- ✦Real-time coding assistance
- ✦Undetectability features (screen sharing invisibility, active tab detection)
- ✦Solution reasoning and code commenting
- ✦Webcam monitoring overlay
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
- →Improve High-Volume Recruiting
- →Scale Sourcing Capabilities
- →Elevate Branding Strategy
- →Create Seamless Candidate Experience
- →Establish More Effective Processes
- →Accelerate Hiring with AI
- →Manage Candidate Database
- →Enhance Recruitment Marketing
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- →Preparing for Leetcode-style technical interviews
- →Practicing coding problems with AI assistance
- →Generating solutions and explanations for interview questions
- →Ensuring undetectability during remote interviews
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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