One blank moment can cost you the offer. Your answer is already on screen.

The copilot listens to the live call, matches the notes you wrote for it, and surfaces short, keyword-bolded talking points before you hesitate.

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Mac & Windows · Zero configuration · Free to try · No credit card

After the call

Every session comes back as a transcript and a coaching report.

Strong-answer rate

82%

Time saved this week

4.7hrs

↑ 18%

You're on pace for your sharpest quarter of meetings.

Across 38 calls so far.

SEE IT IN ACTION

Built for a glance, not a read.

No walls of text. The answer arrives already shaped — a STAR story, a code block, or a design trade-off — with the words you need to hit in bold.

meeting-copilot · live answer

Behavioural · STARLIVE · 92%

Interviewer asked

“Tell me about a time you led under pressure.”

Your note

Stripe migration — cut checkout latency 40%, promoted the next cycle. My strongest leadership story.

Copilot answered

Situation

Q4 outage — payments down 14 minutes. Two countries, peak shopping hour. I was on-call lead.

Task

Restore service. Then: a public-facing post-mortem and a runbook the team could ship inside 24 hours.

Action

Paired with the SRE on duty, identified the bad migration, rolled back, drafted comms in parallel. I owned the post-mortem; my staff drafted the runbook.

Result

MTTR cut 60% on the next incident. Runbook adopted across all three platform teams; promoted Q1.

Technical · With codeLIVE · 92%

Interviewer asked

“Reverse a linked list, in place.”

Your note

Lead with the iterative version — O(1) space. That's the one they score.

Copilot answered

What it is

Walk the list once, flipping each node's pointer to point at its predecessor. O(n) time, O(1) space.

reverse_list.py

def reverse(head):
    prev = None
    while head:
        head.next, prev, head = prev, head, head.next
    return prev

System designLIVE · 92%

Interviewer asked

“Design a cache-consistent distributed KV store.”

Your note

Anchor it on my KV-store side project — the vector-clock trade-off I actually shipped.

Copilot answered

Requirements

Strong-ish reads (read-after-write), horizontal scale to 50k req/s, multi-region active/active, sub-10ms p99 reads.

Design

Quorum writes (W+R > N) on consistent hashing. Vector clocks for concurrent edits. Read-repair on stale reads.

Trade-offs

Eventual consistency surfaces for ~50ms under partition. Anti-entropy via Merkle trees adds 2–3% bg load — worth it for drift detection.

Same intelligence. Three templates. Personas, frameworks, code — every answer is shaped to the moment.

HOW IT WORKS

Zero overhead during the call.

Load your experience

Drop in your resume, your war stories, the metrics you want to land. Once.

Join any meeting

Zoom, Teams, Meet, Webex. Nothing to install on the meeting side, and hidden from their screen share.

Glance and deliver

The key words are bold. Take what you need without breaking eye contact, and say it in your own voice.

PRICING

Practise on it free. Upgrade before the real one.

No credit card to start. Cancel in one click.

Free$0

The full desktop overlay, for practice runs and mock interviews.

Live transcription of the meeting audio
Your resume + notes as answer context
Hidden from Zoom, Teams and Meet screen shares

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