AI-powered interview coaching

Your unfair
advantage in
every interview room.

A desktop overlay that sits invisibly alongside your call, reads interview questions from your screen, voice, or keyboard, and answers them using your actual resume — not generic AI.

Download for Windows Try the demo
Free to use
Windows 10 / 11
Invisible to screen share
Hidden from screen share
ClutchTimeAI
✦ ClutchTimeAI
✎  Practice
▤  Background
⚙  Settings
Ctrl+Shift
hold to speak

Ctrl+Alt
watch screen
Practice
Siemens · AI Engineer · Technical
Tell me about a time you improved system reliability.
◆
BEHAVIORAL
At Google our LLM pipeline was producing malformed output about 35% of the time — JSON that wouldn't parse, wrong format entirely. I rewrote the validation layer to detect and retry on failure, restructured the prompts for strict schema enforcement. Got it under 2%. Output quality issues almost always look like model failures but they're usually prompt failures.
How would you design a feature store?
◆
SYSTEM DESIGN
Separate offline and online paths. Offline computes features in batch and writes to a low-latency store like Redis. Online serves them sub-millisecond. The trade-off is consistency — point-in-time correctness matters for training but not always serving
Type a practice question…
<700ms
Time to first word
3
Input modes — type, speak, screen
0
Generic AI answers — everything grounded in your resume
100%
Invisible to screen sharing
The unfair part

They can't see it.
You can.

ClutchTimeAI uses Windows Display Affinity to exclude itself from screen capture entirely. The interviewer can share their screen, ask you to share yours, record the call — the app is never visible to them.

It sits in compact mode alongside your video call window. You read the answer. You say it. The call continues.

Your video call
Not visible to interviewers
✦ ClutchTimeAI Google · ML Engineer
Walk me through how you think about model monitoring in production.
◆
At Google I set up embedding distribution monitoring — tracked cosine similarity between incoming queries and the training distribution. When drift exceeded a threshold it triggered a re-indexing run rather than a full retrain, which kept latency acceptable while ensuring the retrieval layer stayed current.
Features

Everything you need.
Nothing you don't.

Built specifically for live interviews — not a chat app, not a general AI tool.

📄
Grounded in your actual background
Upload your resume once. Every answer references your real projects, your real numbers, your actual decisions. Not what a software engineer "typically" does — what you specifically did.
RAG · pgvector · Voyage AI embeddings
🎯
Calibrated per interview
Set the company, role, and job description before your call. Answers shift context — the same technical question gets a different framing for a startup ML role vs an enterprise data science position.
Session context · JD injection · Role calibration
⚡
Streams in real time
Words appear within 700ms of asking. You're reading the beginning of the answer while the LLM is still generating the rest. No awkward pause before you respond.
Groq LPU inference · Server-Sent Events
🏷️
Question type detection
Automatically classifies every question — behavioral, technical, comparison, system design, follow-up, code. The answer format adapts: code gets code blocks, system design gets a component breakdown.
Classifier · 8 question types · Format routing
🎙️
Voice transcription built in
Hold Ctrl+Shift, say the question, release. Transcribed via Groq Whisper in under a second. Lets you ask while keeping eye contact with the camera — no typing, no clicking.
Groq Whisper · WASAPI loopback · VAD
📸
Screen capture mode
Press Ctrl+Alt and the app reads whatever question is on your screen — coding problems on LeetCode, chat messages in Zoom, slides in a deck. You don't have to type anything.
Vision LLM · Question extraction · mss capture
See it in action

Two demos. One product.

Click the toggle — the app vanishes from the interviewer's screen share while staying fully visible on yours.

How it works

Set up once.
Use in every interview.

📄
01
Upload your resume
We extract your experience, projects, skills, and education into a searchable background. Every answer pulls from this — not the internet, not generic examples, your actual career.
🏢
02
Set your interview context
Before each call, tell the app the company, role, and optionally paste the job description. The app calibrates every answer to that specific context — not just what's generally true about your background.
⚡
03
Ask in real time
Type, speak, or point your screen at the question. The answer streams in within 700ms — fast enough to read before you respond. The app stays invisible. The interview continues normally.
Why not just use ChatGPT?

It's not about the model.
It's about the context.

Most AI tools give you a generic answer. ClutchTimeAI gives you the answer a candidate with your specific background would give.

✦ ClutchTimeAI ChatGPT tab Memorizing answers Mock interview service
Works during the real interview ✓ ✗ ✗ ✗
Invisible to screen sharing ✓ ✗ — —
Grounded in your actual background ✓ ✗ ✓ ✓
Responds in under one second ✓ ~5s — —
Three input modes (type, speak, screen) ✓ ✗ — —
Calibrated to company & role ✓ Manual ✗ Partial
Free to use ✓ Plan ✓ ✗
Three ways to ask

Ask however the moment calls for.

No switching tools, no copy-pasting. The right input method is always one shortcut away.

Type
Keyboard input
Type any question into the composer and press Ask. The fastest method when you have time to phrase it yourself or want to ask about something not directly said in the interview.
Ctrl + Shift
Hold to speak
Hold the hotkey, speak the question, release. Transcribed via Groq Whisper in under a second. Works best when the interviewer just asked something verbally and you want to capture it exactly.
Ctrl + Alt
Capture your screen
Press the shortcut and the app reads whatever is on your screen — a LeetCode problem, a Zoom chat message, a question on a shared slide. Zero typing required.
Early access users

From people who used it in real interviews.

★★★★★
"I got the Siemens offer after three rounds. Having answers grounded in my actual projects — not generic responses — made the behavioral questions feel completely natural. The interviewer thought I was just well-prepared."
A
Amara K.
ML Engineer · Berlin
★★★★★
"The screen capture feature is extraordinary. During a technical round I pointed it at a system design question on a shared slide and had a structured answer within a second. The interviewer had no idea it was there."
J
Raghav M.
Software Engineer · India
★★★★★
"I stopped blanking on behavioral questions entirely. The answers reference things I actually built, with my own numbers. It sounds exactly like me — because it is me, just without the anxiety of trying to remember everything at once."
P
Abhinav R.
Data Scientist · India
✦

Download ClutchTimeAI

Windows · Free · No account needed to start

Download for Windows — Free

Windows may show a SmartScreen warning on first launch — click "More info" → "Run anyway" to proceed.

As a student I can't afford a code signing certificate to remove this warning. ClutchTimeAI is completely safe — no data is sold, no tracking, no ads. Read the Privacy Policy if you want to verify.

If you find this useful, you can ☕ buy me a coffee to help keep it free and running.

Windows 10 / 11 (64-bit)
~80 MB
No setup or API keys required
Updates automatically
System requirements
OS: Windows 10 or Windows 11 (64-bit)
RAM: 4 GB minimum
Storage: ~200 MB free space
Internet: Required (cloud backend)
Microphone: Optional (voice input)
Screen sharing: Works on any app