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Live Voice Interview

Practiceinterviewsthatactuallyprepareyou.

Solve algorithms, design systems, and answer behavioral questions with a live AI interviewer — voice, whiteboard, and code editor included. Then get scored feedback on exactly where you excelled and where you fell short.

Every session is configured to you

Role FocusDurationInterview TypeJD + Resume Context
~20interviews needed per offerApplyPass, 57K interviews analyzed
50%performance drop under observationNC State University & Microsoft, 2020
25%of your score is communicationGoogle structured interview rubric

Three steps to better interview performance.

Configure & Personalize

Choose your role focus, interview type, duration, and difficulty. Paste your target job description and resume highlights for session alignment.

Run Your Interview

Enter a real-time interview simulation with voice interaction, a live code editor, and an AI interviewer that adapts to your responses.

Get Evidence-Based Review

Receive scored pillars, timestamped observations, strengths, and improvement areas — all linked to specific moments in your session.

Built for how interviews actually work.

Role-Specific Sessions

Frontend, backend, fullstack, DevOps — sessions adapt to your target role with relevant problems and evaluation criteria.

Communication + Execution

Correctness is table stakes. Nova also evaluates how you clarify requirements, explain trade-offs, and reason under pressure.

Timeline-Based Feedback

Every observation is linked to a specific moment. Replay exactly where you hesitated, overcomplicated, or missed a signal.

Multi-Format Support

Algorithmic, system design, practical debugging, and behavioral. Practice the format that matches your upcoming interview.

See the practice system in action.

Nova InterviewNew Interview Session
1Configure2Audio Check3Launch
SECTION AThe BasicsRole Focus
FrontendBackendFullstackDevOps / SRE
Duration
15 min30 min45 min60 min
SECTION BDifficulty & FormatInterview Type
AlgorithmicLeetCode-style. Data structures, algorithms.
System Design"Design Twitter" style.
Step 1 — Configure

Configure Your Session

Set role focus, language, duration, interview type, and difficulty tier before every session. No generic one-size-fits-all.

ProblemTranscript
solution.ts
Nova is listening...
TIME REMAINING14:18
PROBLEMReverse a Linked List

Given the head of a singly linked list, reverse the list and return the reversed list.

Constraints
• 0 ≤ list length ≤ 5000• -5000 ≤ Node.val ≤ 5000
Examples
Input: head = [1, 2, 3, 4, 5]Output: [5, 4, 3, 2, 1]
1function reverseList(head: ListNode | null): ListNode | null {
2 let prev = null;
3 let current = head;
4 while (current) {
5 let next = current.next;
6 current.next = prev;
7 prev = current;
8 current = next;
9 }
10 return prev;
11}
Nova is listening...
NovaThe Senior Colleague
Step 2 — Interview

Live Interview Simulation

Real-time voice interaction with a live code editor. Timer, problem panel, and AI interviewer — just like the real thing.

Interview ReviewReverse a Linked List - 45 min session
B+Strong Hire
Problem Solving8/10
Strong iterative approach. Could improve by immediately considering recursive.
Communication7/10
Good verbal walkthrough but had a long silence. Keep narrating your thoughts.
Code Quality9/10
Clean, readable code with proper TypeScript types.
Edge Cases6/10
Missed single-node case initially. Practice identifying edge cases upfront.
Overall Evaluation

You demonstrated a solid grasp of linked list manipulation with a clean iterative solution and good use of TypeScript types. Your problem clarification at the start was strong, showing real-world interview readiness. Communication was mostly clear, though there was a notable silence gap that could have been filled with verbal reasoning. Edge case coverage improved over the session but wasn't fully addressed upfront. Overall, this is a strong mid-level performance that would likely pass at most top-tier companies with minor polish.

Strengths
Excellent problem clarification before writing code - asked about empty list and single-node edge cases
Clean, readable iterative solution with proper TypeScript type annotations
Strong dry-run walkthrough - traced through the algorithm step by step with a concrete example
Accurate complexity analysis comparing iterative O(1) space vs recursive O(n) space trade-offs
Areas to Improve
Avoid long silences (72s gap) - narrate your thought process even when uncertain, e.g. 'I'm considering whether recursion would be cleaner here...'
Proactively enumerate all edge cases before coding: empty list, single node, two nodes, very long list
Attempt the recursive solution faster - interviewers expect senior candidates to discuss both approaches within the time limit
When asked about an edge case you missed, acknowledge it directly rather than back-fitting your existing answer
Step 3 — Review

Evidence-Based Review

Scored pillars for problem solving, communication, code quality, and optimization. Every score backed by specific observations.

Interview Review
Session Timeline
02:00Great problem clarification
05:00Missed edge case
12:30Clean iterative solution
22:30Long silence (>1min)
30:00Discussed time & space complexity
Missed edge caseat 05:00
Code Snapshot
function reverseList(head: ListNode | null): ListNode | null {
    let prev = null;
    let current = head;
    while (current) {
        let next = current.next;
        current.next = prev;
        prev = current;
        current = next;
    }
    return prev;
}
Transcript

Nova: “What happens when the list has only one node?”

You: “Oh... it should still work because...”

AI Coach Note

You didn't initially consider the single-node case explicitly. While your code handles it, articulating this shows deeper understanding.

Step 4 — Details

Detail-Oriented Feedback

Drill down into specific moments. Review code snapshots, transcripts, and AI coach notes linked to critical timeline events.

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Common questions, straight answers.

LeetCode is great for problem reps. It does not train live interview behavior: clarifying requirements, explaining trade-offs, handling pressure, or communicating while coding. Nova is built for those interview-specific skills.
You can, but it is usually unstructured and hard to benchmark over time. Nova gives you a consistent interview format, timed flow, and evidence-based feedback tied to specific moments so you can track real improvement.
No. Nova is the repetition layer between human mocks. Use it to get many focused reps, find recurring gaps, and show up to human sessions better prepared.
You get scored pillars and timestamped observations you can reference. Instead of generic advice, you get concrete moments to fix and re-practice.
No. Correctness is table stakes. Nova also evaluates communication, approach clarity, decision-making under pressure, and trade-off reasoning.
Yes. Configure role, duration, interview type/stage, and provide your target job description and resume highlights so practice is aligned to your real interviews.
Yes. Run repeated sessions on the same focus area and use timeline-based feedback to measure whether weak signals improve over time.
Yes. Nova helps build interview fundamentals and speaking confidence, which are often the biggest blockers early in tech hiring.