If LockedIn AI’s overlay got spotted during a screen-share round — or you’re $1,499 into a browser overlay whose stealth flag the proctor’s content script can query in one syscall — here’s why screen-cap stealth at user-mode hits a ceiling, and what stripping the overlay from the display pipeline at the kernel actually changes ($399, $1,100 less).
They wait on a screenshot.
We already have the bytes.
LockedIn AI is a browser-based screen-capture coach riding a single user-mode stealth flag. Every move starts with a fresh screen capture and an OCR pass that may or may not get the problem right. FaangCoder reads the problem, your code, and the test output straight from process memory at the Windows kernel. No screenshots, no OCR, full context every pass.
Ring-0 memory read vs. screenshot-and-OCR.
LockedIn AI
Capture the screen. Run OCR. Hand the model a transcription of whatever pixels were visible. Need a follow-up? Capture again, OCR again, hope nothing scrolled. The capture pipeline is the bottleneck.
FaangCoder
We pull the problem statement, your code, and the test output straight from process memory at the Windows kernel. No pixels, no OCR. The model gets the whole context in one pass and re-reads it on every Debug or Optimize follow-up.
You can iterate. Alt+Enter to solve, Alt+1 to debug the failing test, Alt+2 to cut the complexity. Each pass re-reads your full state from memory in milliseconds. No capture round-trip between turns.
Three keystrokes. Three full-context passes.
Each demo is a real, full-length walkthrough. LockedIn AI can do step 1. FaangCoder does all three on the same in-memory problem state.
FaangCoder vs. LockedIn AI
| Feature | FaangCoder | LockedIn AI |
|---|---|---|
Reads context How the model knows what you're working on | Ring-0 memory read — problem, code, test output in one pass | Screen capture, then OCR, every action |
Follow-up workflow Debug, optimize, refine iteratively | Re-reads full state from memory on every Alt+1 / Alt+2 | Capture, OCR, retry. Then again. |
Hidden from screen share Zoom, Meet, Teams, HackerRank proctor | Yes — kernel-level rendering, undetected by current tools | User-mode hide, similar coverage |
Keyboard-first No mouse hunting mid-interview | Every action is one Alt+combo (Solve, Debug, Optimize, Chat, Audio) | Hotkey-then-mouse for most flows |
Platform | Windows native (where most candidates interview) | Browser-based, Mac-leaning stealth |
Pricing What you pay to use it | $399 lifetime ($199/mo monthly option) — pay once, own it forever | $54.99/mo or $1,499 lifetime — lifetime price has climbed from $999 to $1,299 to $1,499 across 2024-2026, and the user-mode flag underneath has not gotten any deeper |
Disappears from every capture surface
Invisible to screen share
Doesn't show up in Zoom, Meet, Teams, Discord screen-share, or HackerRank's window-capture proctor.
Always on top, always for you
Your screen, your eyes only. Drag anywhere with Alt+Move; nudge precisely with Alt+W/A/S/D; dim with Alt+O. Fully out of the way when you don't need it.
Real-time audio capture
Alt+' forces an audio-priority solve with the latest accepted speech — perfect when the interviewer asks a verbal question and you need an answer in 2 seconds.
Same lifetime model. $100 less. More features.
LockedIn AI bills you every month — even if you only need it for one interview cycle. FaangCoder is one payment, no expiration, no metering, and the iteration loop (Solve → Debug → Optimize) is built in.
- Ring-0 memory read — no screenshots, no OCR
- Iterative Solve → Debug → Optimize
- Hidden from screen-share + proctoring
- Audio-priority solve mode
- Unlimited AI requests, forever
- Screenshot + OCR every action
- Single shot, no real iteration loop
- Hidden from screen-share
- Limited audio handling
- Lifetime — but $100 more
Your next interview is in two weeks.
$399 once and you're set for every interview, forever. Install in 60 seconds and prove it on a practice problem before tonight.