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Practice should feel realistic
Knowing an answer is different from explaining it under pressure. PrepWithAI is built around active interview rehearsal, not passive content consumption.
Preparing your workspace…
Preparing your workspace…
Developers have access to endless questions, videos, and tutorials. The harder problem is turning knowledge into clear performance under pressure. PrepWithAI focuses on that gap.
Founder and software developer
Based in Lahore, Pakistan, with previous study experience in Shenzhen, China. I build software products and practical AI workflows, with a focus on turning real user problems into complete digital systems.
PrepWithAI started from a simple observation: a candidate can understand algorithms, system design, and behavioral frameworks yet still struggle to communicate those ideas clearly in a real interview.
The product brings practice, feedback, company context, voice and video rehearsal, progress tracking, and career tools into one workspace. The goal is not to promise a job offer. The goal is to help candidates arrive better prepared, more self-aware, and more confident in how they think out loud.
Knowing an answer is different from explaining it under pressure. PrepWithAI is built around active interview rehearsal, not passive content consumption.
A score alone does not improve performance. The product is designed to help candidates identify a specific weakness and practice it again.
Candidates can begin with a free account and decide whether deeper Pro workflows are valuable after experiencing the core practice loop.
PrepWithAI combines a Next.js application, authenticated user workflows, MongoDB persistence, AI integrations, Stripe subscription infrastructure, transactional email, analytics, and multiple interview surfaces.
View the repositoryThe product will keep evolving through real usage, measured product decisions, and a focus on preparation outcomes rather than feature count alone.