
We built structured HLD, LLD, DSA & behavioral interview prep with an AI tutor + mock interviewer. Would love feedback.
Hey everyone! We've been building https://gitready.app, an AI-based interview prep platform for engineers and I’d genuinely love feedback from this community.
The problem we kept seeing was that interview prep is fragmented. Most tools help with only one piece:
- DSA practice,
- Resume review,
- System design or
- Mock interviews.
But candidates usually fail because of the combination: weak profile signaling, unfocused prep, and poor articulation during interviews. So, we built GitReady as one connected system:
- Audit → analyzes your GitHub + resume across signals recruiters/interviewers actually screen for, then suggests the highest-impact fixes.
- Learn → Socratic AI tutor for HLD, LLD, DSA, and behavioral prep with 360+ guided concepts.
- Mock Interviews → AI interviews with whiteboard, live coding support, scoring, and detailed feedback after each session.
One thing we got completely wrong initially: our first mock interviewer was too “nice.” It accepted vague answers, didn’t push back, and let candidates move forward without defending tradeoffs which is the opposite of real interviews. We rebuilt it to behave more like an actual interviewer: challenge assumptions, probe depth, and evaluate articulation instead of just correctness.
Pricing-wise: the audit, learning content, and AI tutor are free without a credit card. Paid plans mainly increase usage limits.
Would genuinely love feedback on two things:
- Does the learning flow/content structure feel useful?
- Does the AI tutor interaction actually help you think better, or does it still feel “generic AI”?
Happy to answer anything about the build, architecture, mistakes in comments.