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AI-native platform for technical interviews

Purpose-built for engineers running technical interviews.

The Problem

Technical interview context is fragmented. The transcript lives in one tool (Zoom/Google Meet), the code in another (CoderPad), and the system design in a third (Excalidraw).

The Cost

Engineers take days to write post-interview feedback, and with each passing day the context evaporates. Bad hires slip through, costing time and money.

The Solution

ScreenStack is a copilot for engineers who run technical interviews. It captures the full session in one place, using multiple multi-modal AIs and techniques rooted in industrial-organizational psychology to extract crucial insights.

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Built by engineers with 400+ hours of interview experience at Meta

Conversation
Code
Diagram
Understood the problem statement clearlyExcellent
Handled edge cases for empty inputPoor
Communicated trade-offs between approachesMixed
Identified optimal O(n) time complexityGood
System design showed strong fundamentalsExcellent
Did not consider thread safetyPoor
Code was clean and well-structuredGood
Responded well to hints and feedbackMixed
Understood the problem statement clearlyExcellent
Handled edge cases for empty inputPoor
Communicated trade-offs between approachesMixed
Identified optimal O(n) time complexityGood
System design showed strong fundamentalsExcellent
Did not consider thread safetyPoor
Code was clean and well-structuredGood
Responded well to hints and feedbackMixed