#1 Undetectable AI
for Live Interviews
Live Interview Helper listens via native system audio loopback, solves system design and algorithms in <240ms, and stays completely invisible to screen shares — on macOS.
open Live-Interview-Helper.dmg
“Use
Up and running in under 2 minutes
No configuration nightmares. No virtual audio drivers. Just download and go.
Download & Launch
Install the native app for your OS. Authenticate with your free Gemini API key from Google AI Studio in 30 seconds.
No account signup required — just your own API key.Join Your Interview
Start your meeting as normal. Our stealth HUD floats just below your webcam, positioned for perfect natural eye contact.
No window appears in any screen share or recording.Ask for Help Instantly
Press your hotkey or use Vision Mode. Answers stream directly into your floating HUD in under 240ms — undetected.
System design, algorithms, behavioral — all covered.Try the Stealth HUD Yourself
Switch between LeetCode, system design, behavioral, and vision scenarios. Toggle between your screen and what the interviewer sees.
// LIVE TECHNICAL INTERVIEW CODING ENVIRONMENT
import React, { useState, useEffect } from 'react';
// Candidate: Working on live solution...
interface CandidateSubmission {
timestamp: number;
algorithmicComplexity: string;
testPassRate: number;
}
// Waiting for candidate keystrokes...
function solution(inputData: number[]) {
const seen = new Set();
for (let i = 0; i < inputData.length; i++) {
// implement logic here...
}
}
“Could you implement an LRU Cache with O(1) get and put operations?”
- 01.Use a Doubly Linked List paired with a Hash Map for true O(1) removals and lookups.
- 02.Mention dummy head & tail pointers to completely eliminate null-check edge cases.
- 03.Emphasize thread-safety: mention ReadWriteLock in a multi-threaded enterprise context.
class LRUCache:
def __init__(self, capacity: int):
self.cap = capacity
self.cache = {} # key -> Node
self.head, self.tail = Node(0, 0), Node(0, 0)
self.head.next, self.tail.prev = self.tail, self.head
def get(self, key: int) -> int:
if key in self.cache:
node = self.cache[key]
self._remove(node)
self._add_to_head(node)
return node.val
return -1Live Interview Helper
during an interview
No preparation needed. Turn it on and it works seamlessly in the background.
Listens in to the conversation
Direct macOS CoreAudio hardware loopback. Captures all audio without Soundflower or extra drivers.
When you need help, it assists instantly
Bulletproof talking points and optimal algorithms streamed directly to your HUD in <240ms.
•Token Bucket Algorithm: Best for bursty traffic while capping sustained TPS.
•Redis Lua Script: Guarantees atomic check-and-decrement across distributed clusters.
•HTTP 429 + Retry-After: Client fallback with exponential backoff jitter.
Everything you need. Nothing you don't.
Engineered from the OS kernel up to be invisible, fast, and powerfully intelligent.
Native Audio Loopback
Zero DriversDirect hardware tap — no virtual sound drivers, no echo, no detection.
Gemini 2.5 Flash AI
< 250ms TTFTStreaming answers from the world's fastest reasoning model with sub-250ms TTFT.
OS-Level Stealth Window
Kernel-levelWindow rendered outside compositor capture — completely absent from any recording.
Vision Mode (Screenshot)
MultimodalCaptures and solves coding diagrams, whiteboard problems, SQL schemas instantly.
Mobile Air-Gap Mode
Air-gappedUse your phone as a second screen. No software runs on your interview machine at all.
Your Own API Key
Self-hostedBYO Gemini, OpenAI, Groq, or Ollama key. Nothing stored on our servers. Ever.
Undetectable in every way
Designed from the OS kernel up so interviewers and meeting software never detect it.
Doesn't join meetings
Never invites an external bot or creates a participant tile. Audio is silently tapped via Direct macOS CoreAudio Loopback (Zero Drivers).
Invisible to screen share
Hardware compositor exclusion via CGWindowSharingNone (Kernel Compositor Exclusion). Zoom, Teams, and CoderPad capture zero HUD pixels.
Follows your eyes
Position the floating HUD directly beneath your webcam for 100% natural eye contact. Ghost Mode lets mouse clicks pass right through into your IDE.
Verified on 15+ platforms
All tested & confirmedAudit Screen Invisibility Across Platforms
Run an interactive diagnostic across major video conferencing and proctored technical platforms to verify compositor exclusion and hardware loopback.
Zoom Workplace Security Audit
Window display affinity excludes overlay from Direct3D/Metal capture surface.
✓ Hardware Surface ClearedDirect WASAPI / CoreAudio loopback taps audio before Zoom output mixer.
✓ Native Loopback TapZero bots. Zero extra participants on roster. No recording banner.
✓ 0% Participant TraceGlobal OS Hotkeys at Your Fingertips
Never click away from your interview code editor. Test the global hotkeys below— try pressing them on your physical keyboard!
Forces immediate code & talking point synthesis without waiting for speech silence debouncing.
// ⚡ INSTANT SOLVE OUTPUT:
// Algorithmic Strategy: Two-Pointer Sliding Window
// Time: O(N) | Space: O(1)
// Key point: Expand right pointer; contract left when condition invalidates.Explore Real Interview Questions
See how the AI Copilot formats structured talking points, optimal code, and complexity proofs in real time across different interview domains.
Implement an LRU Cache with true O(1) operations
Executive Talking Points (Say These Out Loud):
class Node:
def __init__(self, key, val):
self.key, self.val = key, val
self.prev = self.next = None
class LRUCache:
def __init__(self, capacity: int):
self.cap = capacity
self.map = {}
self.head, self.tail = Node(0, 0), Node(0, 0)
self.head.next = self.tail
self.tail.prev = self.headSee Hardware Stealth in Real Time
Watch how Live Interview Helper captures audio directly from the operating system loopback, streams algorithms instantly, and stays completely invisible to the interviewer's screen share.
Picks up interviewer audio via CoreAudio/WASAPI without bot attendees.
Streams algorithms, complexity ($O(1)$), and talking points in <190ms.
OS compositor excludes HUD window completely from Zoom & Meet streams.
Complete stealth confidence across software engineering rounds.
Engineered for Every Machine & Platform
We dynamically test your operating system and hardware layer to deliver guaranteed zero-latency loopback, kernel-level screen share stealth, and optimal local AI inference.
Apple Silicon (M1/M2/M3/M4) & Intel(100% Compatible & Verified)
Your device supports hardware-accelerated loopback audio extraction (Direct macOS CoreAudio Loopback (Zero Drivers)) and zero-leakage screen share invisibility (CGWindowSharingNone (Kernel Compositor Exclusion)).
Hardware Compositor Exclusion
CGWindowSharingNone & ScreenCaptureKit hardware compositor exclusion
Hardware System Loopback
Direct CoreAudio Loopback extraction (Zero kext or audio drivers)
Local + Cloud Hybrid
Native Apple Silicon Metal Neural Engine CoreML acceleration
Meeting & Code Assessment Platform Matrix
Hardware invisibility and audio capture verified on latest builds (September 2026).
| Platform | Environment | Screen Share Stealth | Bot Footprint | Audio Loopback |
|---|---|---|---|---|
| Zoom | Video Call | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| Google Meet | Browser & App | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| Microsoft Teams | Enterprise | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| Slack Huddle | Desktop App | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| Cisco Webex | Enterprise | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| CoderPad | Coding Assessment | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| HackerRank | Coding Assessment | 100% Verified | Zero Bot (Hardware Tap) | Supported |
| Karat | Technical Interview | 100% Verified | Zero Bot (Hardware Tap) | Supported |
Frequently Asked Questions
Everything you need to know about stealth, compatibility, and setup.
Interview AI that helps during the call,
not after.
Free, open source, and verified 100% undetectable for macOS. No account needed — just your own API key.
Quick install: open Live-Interview-Helper.dmg