What's the refund policy?

7 days, no questions asked, on lifetime purchases. Email support@faangcoder.ai inside the window with your order ID and a one-line reason; most refunds clear in 3-5 business days through Stripe. Monthly subscriptions can be cancelled at any time from the Subscription tab in your dashboard, with no partial-month refunds. If a technical issue prevents you from using the tool — install failure, compatibility problem — the refund window is discretionary even outside 7 days. Full policy lives at https://faangcoder.ai/refund.

Why $399 instead of $60/month?

Because the round is the prize, and a blown round costs the offer. $399 lifetime works out to roughly one hour at FAANG L4 total comp, and it covers every interview cycle for the next decade. Monthly subscriptions start cheaper but compound, and the round you skip while paranoid about the meter is the round you needed the tool for.

Can I use it on multiple computers?

Your paid license is bound to one device at a time. If you move machines, you can reset the binding from the Subscription tab in your dashboard and activate again on the new device.

Do you offer student discounts?

No. Pricing is the same for everyone — $399 lifetime or $199 monthly. The math still works for a student: $399 is roughly one hour at FAANG L4 total comp, and a single offer covers it many times over. If you're cycling through new-grad recruiting and have two or three offer windows ahead, the lifetime amortizes faster than any subscription will.

What Windows versions are supported?

Windows 10 (build 1909 or later) and Windows 11. The kernel driver is Microsoft-attestation-signed for both. Secure Boot and HVCI are supported and recommended — the install path is the standard signed-driver flow with no test-mode toggles, no driver signature enforcement bypasses, and no Recovery-mode reboots. ARM64 Windows is not currently supported; the driver targets x86-64.

Will it work on a corporate-issued laptop?

Usually no. Corporate laptops typically run endpoint-management agents (Intune, JAMF, CrowdStrike, SentinelOne, Tanium) that block the install of any new kernel driver without IT approval, and your IT department would not approve this one. Most candidates use a personal Windows machine for the round, or buy a refurbished one for the interview cycle. The license is hardware-bound but resettable from your dashboard, so moving machines isn't permanent.

Does it work in a VM or on macOS via Bootcamp?

VMs: not recommended. The kernel driver and display-pipeline strip both depend on direct hardware access that virtualization layers (Hyper-V, VMware, Parallels) abstract or mediate; detection vectors that look for VM artifacts also fire harder. Bootcamp: yes on Intel Macs, but Apple Silicon Macs do not support native Windows boot. For the structural reasons macOS isn't a viable host platform, see the no-Mac-version explainer.

Why is there no Mac version?

Protection at this depth lives inside the operating system. Our code runs in the Windows kernel, the display pipeline, and a stack of undocumented system behavior. macOS does not have the same surfaces, the same drivers, or the same hooks — Apple deprecated kernel extensions in 2019 and tightened ScreenCaptureKit in 2022. Porting is years of new platform work with no shared code. We would rather build one OS that holds than ship two that leak.

Yes — within the surface we defend, and honestly outside it. Inside our surface (browser content scripts, screen-share capture, process enumeration, automated proctor-vendor detection) the four-layer kernel architecture beats every documented detection vector. Outside our surface (a human watching over your shoulder, an interviewer asking you to walk through your reasoning, audio on the call) no software answer exists, and we say so. On data: we don't store your interview problem, your code, or your test output. The kernel driver is signed with our EV cert and goes through Microsoft's WHQL pipeline. Full threat model, data stance, and attestation chain at https://faangcoder.ai/security.

Do I need to copy and paste the problem?

No. Press the hotkey and FaangCoder reads the problem statement, your code, and the terminal output straight from the platform's process memory at the Windows kernel. No screenshots. No OCR. No clipboard. The bytes are already in RAM, so we just take them. Other tools spin up a screen capture pipeline and feed it to OCR. We bypass the screen entirely.

What makes the security approach different from competitors?

Most tools pick one trick and pray. We stack four independent layers: kernel-level display filtering, process concealment, window enumeration blocking, and detection-query spoofing. The strategy goes past the code. We defend one operating system instead of three, keep distribution tight to limit targeting, and test every release against the newest proctor builds before it goes out.

Has anyone been caught using FaangCoder?

Not in our testing and not in any public report we've found. Public forums (TeamBlind, Reddit r/cscareerquestions) document several competitors getting caught — Interview Coder on CoderPad Enterprise and Apple loops, Cluely on screen-share rounds — and FaangCoder's name does not appear in those threads. The technical reason is the four-layer kernel architecture; the procedural reason is a quiet brand that doesn't ship a fingerprintable binary into the proctor-vendor analysis pipelines.

Does FaangCoder work against CoderPad Enterprise?

Yes. CoderPad Enterprise is the proctoring stack where competitors most often fail — its content script enumerates window visibility flags, hooks screen-capture differential analysis, and pairs with Amazon Chime for call-side checks. FaangCoder's kernel-level display-pipeline strip and process concealment defeat the relevant vectors. The full breakdown of what CoderPad Enterprise actually checks for, and which of our four stealth layers answers each check, is in the dedicated post.

Is FaangCoder visible to anti-cheat tools like BattlEye or EasyAntiCheat?

Coding-interview platforms don't ship game-grade anti-cheat. BattlEye and EasyAntiCheat live inside specific games (Fortnite, Apex, Tarkov), not in CoderPad or HackerRank, and they don't run on a candidate's machine during a coding interview. If you happen to be running a BattlEye-protected game in the background, close it before the round to avoid driver-load conflicts. The four stealth layers FaangCoder ships use the same kind of kernel construct anti-cheat uses, applied in the opposite direction.

What AI models are used?

Frontier models for the heavy reasoning, fast models for the routing layer. We swap the exact stack as new releases ship. The bar stays fixed: best quality and lowest latency you can get inside a live interview.

How fast is the response time?

First token typically arrives in under 2 seconds; full response in 4-8 seconds depending on problem complexity and model load. The latency floor is the model API itself, not the input pipeline — kernel memory read of the problem and code is single-digit milliseconds because there's no screenshot, no OCR, and no clipboard handoff. For the engineering breakdown of why memory read beats screen-capture-plus-OCR by a factor of 50-100×, see the dedicated post.

Can I customize the prompt or model?

Not directly. The prompt and model selection are managed by the application based on the workflow (Solve, Debug, Optimize) and the platform context. The reason is interview latency: a candidate fiddling with prompt wording inside a 45-minute round burns time better spent on the actual problem. The internal prompt rotates with model releases; we tune it once for everyone instead of asking each user to tune it for themselves.

Study Mode turns the system design graph you use in the interview into a practice surface. Click any node, edge, or assumption to drill into the tradeoff, the scaling math, the failure mode, and the wording a strong candidate would use to defend it.

Can I prepare with FaangCoder for a coding round?

Yes — the demos at /demo and the Solve/Debug/Optimize workflows run against practice problems exactly the same way they run against live interview problems. Open a LeetCode or HackerRank problem, hit Alt+Enter, work through the iteration. Most buyers spend the first week using FaangCoder as a prep tool before they ever take it into a real round. For a structured 8-week prep arc, see the FAANG interview prep guide.

How do I switch from monthly to lifetime?

From the Subscription tab in your dashboard. The upgrade flow prorates your remaining month against the lifetime price — you pay the difference at checkout, and your monthly subscription cancels automatically when the lifetime activation completes. Most monthly buyers switch within 2-3 months once it's clear they'll be in interview cycles long enough to amortize lifetime pricing.

What happens if my subscription lapses?

On a failed billing attempt Stripe enters its smart-retry window (3 attempts over ~14 days). If all three fail, the subscription cancels and the license becomes inactive — the desktop app stops accepting hotkeys until you reactivate. Reactivation is one click in the Subscription tab; pick monthly or lifetime, the license re-binds to your current device. We don't punish lapsed customers; payment retry is just how Stripe handles a card decline.

Why does the product feel low-profile compared with bigger brands?

Because the loud tools in this category get targeted first. The bigger the marketing footprint, the faster proctoring vendors fingerprint the binary, the build, and the install pattern. We grow through referrals, keep the rollout tight, and treat a quiet brand as a piece of the protection stack.

Using AI assistance during a coding interview is a question of platform terms of service and the company's interview policy, not criminal law. There's no statute that addresses an AI overlay on a candidate's machine. Most coding-interview platforms ban it in their terms; some companies explicitly allow AI in specific rounds in 2026. Whether to use it is the candidate's decision and the candidate's risk. We build the tool; the ethics are yours.

Are you ex-FAANG engineers?

We don't say. The brand-quiet posture extends to founder background — naming current or former employers attaches the binary to a person, which attaches it to a fingerprint, which attaches it to the proctoring industry's targeting list. The product judgment is in the product: the four kernel layers, the memory-read input path, the live /proctor test page anyone can run before they buy. Pedigree is not the question; what the binary does in your interview is.

Yes. Live since 2026 with Stripe checkout, an EV-cert-signed kernel driver, and continuous releases tracked at https://faangcoder.ai/changelog. The brand stays low-profile by design — loud stealth tools get fingerprinted faster — so there isn't a marketing footprint to validate it the way you'd validate a typical SaaS. Concrete signals: the /proctor simulator runs in your browser today, the kernel driver's cert chain + per-release SHA256 is publishable, and the 7-day refund window on lifetime purchases is real. Verify the binary independently before installing. Don't trust adjectives; trust mechanics.

Are there FaangCoder reviews?

Review volume is small by design — we're new and quiet on purpose. Most discussion lives in the Discord (private, candidate-to-candidate) and on TeamBlind / Reddit threads where competitor tools get compared and our name occasionally surfaces. We don't curate or solicit testimonials on-site — the louder a stealth tool's social proof, the faster proctor vendors fingerprint the binary. Public mentions we've found are aggregated on https://faangcoder.ai/coverage. The Discord is where the substantive engineer-to-engineer conversation happens — join if you want to ask candidates who've used it on their own loops.

What does Reddit say about FaangCoder?

Reddit threads in r/cscareerquestions, r/leetcode, and r/csMajors discuss AI interview tools regularly. Our name surfaces in comparison threads (vs Interview Coder, Cluely, LockedIn AI) — the consistent pattern in those threads is competitors getting caught on CoderPad Enterprise, Apple loops, and Amazon Chime; FaangCoder doesn't appear in those 'got caught' reports. We don't astroturf, sponsor, or moderate Reddit discussion. The https://faangcoder.ai/coverage page aggregates external mentions we've found if you want a starting set.

Is FaangCoder a scam?

No. Real product, ships continuously (see https://faangcoder.ai/changelog), runs through Stripe, 7-day no-questions refund window on lifetime purchases (see https://faangcoder.ai/refund-policy), and licenses bind to a hashed hardware ID rather than your real name. The 'scam' pattern in this category usually involves fake stealth checks, no working binary, or a refund stonewall — none of which apply here. If you're skeptical, run /proctor against any AI tool before paying, and verify the kernel driver's signature chain against the published SHA256 documented in https://faangcoder.ai/security.

How long has FaangCoder been around?

Public launch was May 2026 — the kernel-level overlay, /proctor simulator, and the four-stealth-layers architecture all shipped together. Engineering on the Windows kernel driver predates the public launch by an internal R&D cycle (months, not years — but real). The blog launched alongside the product surface. Track shipped releases in https://faangcoder.ai/changelog — every kernel update, detection-vector patch, and site-architecture change since launch is logged with date, scope, and commit hash where applicable.

Can I trust FaangCoder with my data?

We don't store your interview problem, your code, or your test output — the model call is stateless on our side. We hold a hashed hardware ID for your license, your checkout email, and Stripe billing records. Nothing else that a proctor, employer, or platform could meaningfully request. Full data stance, threat model, and what each lawful subpoena could disclose is in https://faangcoder.ai/security; the formal privacy text (third-party processors, retention windows, GDPR/CCPA contact) is at https://faangcoder.ai/privacy.

Ring-0 memory read. Reasoning Mode for hard rounds.

They wait on a screen capture. We already have the bytes.

Name: FaangCoder
Brand: FaangCoder
Price: 399 USD
Availability: InStock

A blown round costs the offer. The wrong tool costs both. FaangCoder reads the problem, your code, and the test output straight from the platform's process memory — and never trips CoderPad, HackerRank, or CodeSignal. The model gets full context on every Debug or Optimize pass, and Reasoning Mode takes on the hardest rounds.

Reasoning Mode

Switch it on when the round stops being routine. FaangCoder gives the model a deeper, agent-style orchestration pass so it can plan, check, and refine before it answers.

Download FreeJoin the Community

Founder pricing — $399 lifetime (reg $799) / $199/mo (reg $299/mo) — for our first 1,000 customers.

Free includes 3 problems and no credit card. Windows 10 and 11 only. The protection layer lives in the Windows kernel and display pipeline. Porting that work to another OS is a multi-year rewrite, so we picked one platform and went deep. Paid plans activate with a dashboard license key.

Worried about a kernel driver? Read our security model.

The actual overlay

Quiet, keyboard-first, one hotkey away.

Sits over the coding platform, listens for hotkeys, and pulls the problem and your code from process memory at the kernel — then streams the answer back. No screenshot pipeline in the path.

Sits over any window

Reads memory directlyring-0, no screenshots

Hotkey for every follow-up

Streams as you read

Watch all 3 full demos

Ghost overlay

It finishes your thought, not just your line.

FaangCoder's ghost overlay streams inline completions as you type — the same Tab-to-accept flow as Copilot, except it has already read the full problem statement, your existing code, and the constraints. So each suggestion fits the question you're actually solving, not just the syntax. Pause a beat and it drafts the next step; hit Alt + Space to pull one on demand.

Ghost overlay

It lives in your editor, not a second window.

The ghost overlay renders inline, right inside the platform editor — HackerRank, CodeSignal, CoderPad, LeetCode, or whatever custom browser tool they put you in. Suggestions surface as ghost text where your cursor already is and scroll with your code: no separate window, no alt-tab, no paste trail. You stay in the real editor; the next lines just appear, ready to accept.

Alt + 1 — Debug

Bug spotted, fix shipped. Inline.

Hit Alt + 1 on a broken solution. FaangCoder names the line, explains the failure, and ships a unified diff you can apply.

Alt + 2 — Optimize

Brute force in. Optimal out.

Hit Alt + 2 on a slow solution. FaangCoder finds the bottleneck, walks through the better strategy, and ships a unified diff that drops the complexity.

Ring 0 Protection

They Hide With a Flag.
We Hide From the GPU.

Two sides of the same kernel work. On the input side, FaangCoder reads your problem and code straight from process memory — no screenshots, no OCR. On the output side, the overlay is stripped from the display pipeline before any capture path can reach it. Both sit inside Windows internals and undocumented display-layer behavior. That is platform depth, not a flag.

Feature

Ring 0

FaangCoder

Competition

Supports Audio

Invisible to Screen Share

Undetectable by Browser

Sub-second Hotkey Response

Invisible to Task Manager

Doesn't Get Flagged on Anti-cheat

Invisible to Fair Screen

No Screenshot Needed

Click-through Undetectability

Hasn't Been Caught

Continuous Debugging

Continuous Optimizing

Survives 45-min Live Round

One layer of protection is a gamble. Four independent layers built on kernel-level platform depth is a different category entirely.

Test it yourself

Don't trust us. Try detecting us.

Sixty seconds, your browser, and any competitor's free trial. Watch their hotkeys leak into a plain web page and light up our proctor. Then run the same test against us.

Open a keyboard event viewer
A bare-bones browser tool that prints every keydown event the OS hands to the page.
W3C key event viewer
Open our proctor test page
Runs the same detection vectors a real coding-platform proctor uses: keystroke logging, window-focus tracking, clipboard, devtools, screen geometry, screen capture.
Open /proctor
Launch the free trial of any AI interview tool you want to test
InterviewCoder, UltraCode, LockedIn — pick whichever. Leave it running in the background with the proctor page focused.
Press its solve hotkey
Their hotkey lands in the W3C viewer and lights up our proctor at the same moment. A real proctor running a content script sees the same thing.

If a browser tab can see an AI tool's hotkey, so can CoderPad, HackerRank, and CodeSignal. They run at the same or higher privilege level on your machine.

Every other tool gets caught one of three ways on /proctor:

01Keystroke logging. Their hotkey is a plain keydown event the browser sees.
02Lost window focus. Their overlay paints over the coding platform, the page loses focus, the proctor flags the gap.
03Memory scan. Their process name reads straight out of the task list.

FaangCoder defeats all three by design. Hotkeys are intercepted at the kernel before the browser sees them. The overlay is stripped from the display pipeline before any capture path. The process is hidden from window enumeration and the task list.

Run the test

FaangCoder doesn't trigger a single vector on the same proctor page that lights up every other tool.

Undetectable, Tested Daily,
on every Interview App

Daily testing, real-world checks, and constant monitoring ensure
FaangCoder remains undetectable — 100% of the time

001CodeSignal

Last updated 14hrs ago

Undetectable

002HackerRank

Last updated 18hrs ago

Undetectable

003CoderPad

Last updated 15hrs ago

Undetectable

004Zoom

Last updated 21hrs ago

Undetectable

005Microsoft Teams

Last updated 18hrs ago

Undetectable

006Google Meet

Last updated 12hrs ago

Undetectable

007Amazon Chime

Last updated 9hrs ago

Undetectable

008Lark

Last updated 22hrs ago

Undetectable

Follow-ups, built into your hotkeys

Solve. Debug. Optimize. Explain. Test. Interviewers ask for all of them on the same problem. Debug and Optimize ship today on hotkeys. Modify, Edge Cases, Explain, and Test land next. Each submission carries your prior solution into the next prompt, so the app picks up where you left off.

Solve

Alt + Enter

Full solution from scratch. Pulls the problem statement from process memory and ships hints, approach, code, and complexity.

Creates a new problemAlways creates a new problem

Debug

Alt + 1

Find and fix bugs. Identifies the root cause, provides corrected code, and summarizes what went wrong.

New problem with debug analysisAppends debug follow-up

Optimize

Alt + 2

"Can you do better?" -- Analyzes the current inefficiency, provides optimized code, and states the new time/space complexity.

New problem with optimized rewriteAppends optimization follow-up

ModifyComing Soon

"Can you adapt this?" -- When the interviewer changes requirements. Explains what changed and provides the modified solution.

Requires an existing problemAppends modification follow-up

Edge CasesComing Soon

"What about edge cases?" -- Identifies edge cases, checks handling status, and provides fixes where needed.

New problem with edge case analysisAppends edge case follow-up

ExplainComing Soon

"Walk me through your solution." -- Step-by-step algorithm walkthrough and a concise interviewer-ready explanation.

Requires an existing problemAppends explanation follow-up

TestComing Soon

"How would you test this?" -- Generates comprehensive test cases with expected outputs covering basic, boundary, and edge scenarios.

New problem with test generationAppends test follow-up

New problems vs. follow-ups

FaangCoder knows whether you're starting fresh or building on an existing solution and routes the prompt to match.

New Problem

When you're on the "New" entry in the sidebar, submissions create a fresh problem with no prior context.

-- Bound today: Alt+Enter (Solve), Alt+1 (Debug), Alt+2 (Optimize)
-- Coming soon: Modify, Edge Cases, Explain, Test

Follow-Up

When you've selected an existing problem, Alt+1 and Alt+2 append a follow-up section. The AI receives your full prior solution as context.

-- Bound today: Debug + Optimize follow-ups
-- Each follow-up is numbered (Debug #1, #2, ...)
-- Stack multiple on one problem
-- Coming soon: Modify, Edge Cases, Explain, Test follow-ups

More capabilities

Alt + L

Chat

Ask follow-ups in plain English. Keep working the same problem without leaving the screen.

Settings

Reasoning Mode

Agent orchestration for solving the toughest challenges. Turn it on when a hard prompt needs more planning, self-checking, and refinement before the answer streams back.

Alt + '

Audio Solve

Listens to the interviewer and solves problems they speak out loud.

Alt + M

Code Mode

Pulls problem text and code from the platform process memory, then generates hints, approach, code, and complexity. Design mode for system architecture lands next.

Alt + .

Keyboard-Driven

Every feature has a hotkey. Press Alt+. in-app for the full reference.

Alt + H

Ring-0 Reads

FaangCoder reads the problem, code, and terminal straight from the platform process memory at the Windows kernel. No screenshots, no OCR. Other tools wait on a screen capture pipeline; we already have the bytes.

Start free. Upgrade when the offer depends on it.

Founder pricing for our first 1,000 customers. After that, prices return to $799 lifetime / $299 per month. Free includes Reasoning Mode for 3 problems before you commit.

Reasoning Mode adds agent orchestration for solving the toughest challenges.

Free

Free • 3 problems • no credit card • download now

$0 forever

Try the full app — same kernel-resident stack, same stealth, same Reasoning Mode — for three problems before you commit.

Ring-0 kernel stealth — display-pipeline filtering
Memory read — no screenshots, no OCR
Continuous Debug + Continuous Optimize
Reasoning Mode — agent orchestration for the toughest challenges
Invisible to anti-cheat, screen share, and task manager
Click-through undetectability
Unlimited AI requests
Architecture graph + Study Mode drilldowns

Download Free

Best value

Plus Lifetime

One-time payment. Own it forever.

$799

$399 one-time

Launch pricing

Standard $799 — founder price for our first 1,000 customers. Includes Reasoning Mode for deeper agent-style orchestration on hard rounds.

Ring-0 kernel stealth — display-pipeline filtering
Memory read — no screenshots, no OCR
Continuous Debug + Continuous Optimize
Reasoning Mode — agent orchestration for the toughest challenges
Invisible to anti-cheat, screen share, and task manager
Click-through undetectability
Unlimited AI requests
Architecture graph + Study Mode drilldowns

Plus Monthly

Cancel anytime. No commitment.

$299/mo

$199 / month

Launch pricing

Standard $299/mo — locked in at $199 as long as your subscription stays active. Includes Reasoning Mode when the problem needs a deeper pass.

Ring-0 kernel stealth — display-pipeline filtering
Memory read — no screenshots, no OCR
Continuous Debug + Continuous Optimize
Reasoning Mode — agent orchestration for the toughest challenges
Invisible to anti-cheat, screen share, and task manager
Click-through undetectability
Unlimited AI requests
Architecture graph + Study Mode drilldowns

Have a promo code? Enter it at checkout.

Paranoid about a kernel driver? Read our security model — threat model, data stance, attestation chain.

Want proof we're still shipping? See the changelog — what's landed, when.

Frequently Asked Questions

Everything you need to know about the product and billing.

Paid plans are activated with a license key from your dashboard. After checkout, open the desktop app, paste the key into Settings, and the app will bind it to your current device.

Ready to ace your next interview?

Engineers find us through friends who already passed. Word of mouth, monthly fixes, no ad spend.

They wait on a screen capture. We already have the bytes.

Quiet, keyboard-first, one hotkey away.

It finishes your thought, not just your line.

It lives in your editor, not a second window.

Bug spotted, fix shipped. Inline.

Brute force in. Optimal out.

They Hide With a Flag.We Hide From the GPU.

Don't trust us. Try detecting us.

Open a keyboard event viewer

Open our proctor test page

Launch the free trial of any AI interview tool you want to test

Press its solve hotkey

Undetectable, Tested Daily,on every Interview App

Follow-ups, built into your hotkeys

New problems vs. follow-ups

New Problem

Follow-Up

More capabilities

Chat

Reasoning Mode

Audio Solve

Code Mode

Keyboard-Driven

Ring-0 Reads

Start free. Upgrade when the offer depends on it.

Free

Plus Lifetime

Plus Monthly

Frequently Asked Questions

Ready to ace your next interview?

They Hide With a Flag.
We Hide From the GPU.

Undetectable, Tested Daily,
on every Interview App