Master your own codebase for technical interviews: OnPaper™
LeetCode alone won’t prove you built the system. Interviewers drill into architecture, failure paths, and design tradeoffs
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Analyze Any Repository Locally
Autonomous Curriculum In Natural Runtime Order
How do generic mock platforms fall short?
Algorithms ≠ System Mastery
Memorizing DSA solutions does not translate into defending real-world software architectures.
Superficial mock interviews
Generic mock sessions lack real codebase context and cannot trace deep execution failure paths.
Rapid memory decay
Without active FSRS spaced repetition, structural design knowledge fades within weeks.
They asked how your system handles scale. Don’t freeze.
To pass staff-level interviews, defend your codebase with canonical precision.
✓ State loaded from local SQLite
✓ FSRS Review: 2 overdue concept cards
✓ Sandbox scaffolded in .interview-prep/exercises/
The canonical project-based interview readiness platform
OnPaper turns your actual Git repository into an interactive interview simulator inside your IDE
Leveraging vendor-neutral IDE adapters (Cursor, Zed, Antigravity, Claude Code), local SQLite state engines, and FSRS memory scheduling — private, offline-first, and deeply calibrated.
AST & Dependency Analysis
Analyzes full project architecture, maps file dependency trees and execution order without uploading private source code.
Explicit Rubric Calibration
Evaluates answers across 3 real-world dimensions: struct/type mechanics, execution failure tracing, and architectural tradeoffs.
Temporary Sandbox Exercises
Scaffolds focused exercises inside .interview-prep/exercises/ with progressive hints and durable local SQLite grading.
FSRS Spaced Repetition
Schedules reviews using the Free Spaced Repetition Scheduler to ensure deep long-term retention of core system tradeoffs.
Are you truly ready to defend your project in a staff-level interview?
With OnPaper™ Interview Readiness, you don’t just memorize answers — you own the architecture
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