Every AI Interview Copilot Is Storing Your Data. Here's the One That Isn't.

The Data These Tools Handle

Before examining each tool's data architecture, consider what an AI interview copilot touches during a single session:

• ■Microphone audio — your voice, the interviewer's voice, everything said during the call
• ■Screen content — screenshots of coding problems, system design diagrams, problem descriptions
• ■Resume and career stories — your entire professional history, uploaded as context files
• ■Job descriptions — the specific role, team, and company you're targeting
• ■AI-generated responses — the answers and code solutions generated during the interview

This is a comprehensive record of your interview performance, your career history, and which companies you're targeting. Where this data ends up should be a primary purchase criterion.

How Competitors Handle Your Data

Final Round AI

Final Round AI's copilot mode requires a server-side connection for transcription and response generation. Your microphone audio is sent to their servers for processing. Resume content and career history uploaded to their platform are stored on their infrastructure. Their privacy policy discloses the use of third-party processors for various aspects of their service. When you use their copilot in a live interview, your audio stream and all prompts travel through their infrastructure before reaching any AI model.

LockedIn AI

LockedIn AI offers a desktop app, but their transcription and response generation route through their cloud servers. Their AI infrastructure sits between your machine and the language model — your audio and prompts pass through their backend. While they claim on-device processing in some modes, no specific local transcription model or data isolation mechanism is named in their public documentation.

Parakeet AI

Parakeet AI relies on cloud-based transcription and response generation. Audio data is sent to their servers for processing. Like most tools in this space, the architecture centralizes data handling on their infrastructure, creating a server-side record of your interview content.

Linkjob AI

Linkjob AI routes all transcription and response generation through their own servers. There is no local processing option. Every piece of interview data — audio, prompts, responses — passes through their infrastructure before reaching any AI model. Your interview content is processed on systems you don't control.

faFAANG's Data Architecture: An Engineering Audit

faFAANG's architecture is structurally different from every competitor. Here is exactly where each type of data goes, described with the precision of an engineering audit:

1. Speech Transcription: Fully Local

faFAANG bundles a Moonshine speech recognition model directly inside the Electron application. The transcription pipeline works entirely on-device:

Audio frames are captured via the browser's audio worklet API in the renderer process. These frames are passed through Electron's IPC bridge to the main process. The main process feeds them to the local Moonshine speech engine, which converts the audio to text on your CPU. The resulting transcript is used to construct prompts for the AI model.

No audio is sent to faFAANG servers at any point in this pipeline. The microphone data never leaves your device during transcription. This is not a “privacy mode” or an opt-in setting. It's the only transcription path the application has.

2. Response Generation: Your Own ChatGPT Account

When faFAANG needs to generate a response, it doesn't call a faFAANG-owned API. The user logs into their own ChatGPT/Codex account within the application. The CodexAppServerClient in faFAANG's main process spawns a child process that communicates via JSON-RPC over stdio. Requests are routed through the user's authenticated ChatGPT session.

faFAANG does not proxy, intercept, or intermediate this connection. The request goes from your machine to your ChatGPT account. The response comes from your ChatGPT account to your machine. faFAANG's infrastructure is not in the data path. The traffic is indistinguishable from using chat.openai.com directly.

3. Context Files: Stored Locally on Disk

Resume files, career story documents, and job descriptions are stored in the Electron userData directory on your machine. faFAANG maintains a local context library — a versioned, indexed file store on disk. These files persist across sessions locally. They are never uploaded to faFAANG's servers.

4. Temporary Screenshots: Created and Deleted Locally

In Coding Mode, Ctrl+D captures a screenshot of the problem statement. These screenshots are stored temporarily on your local disk, included in the prompt sent to your own ChatGPT account, and deleted automatically after the request completes or fails. They never touch faFAANG's infrastructure.

5. Auth and Billing: Standard, Disclosed, Separate

faFAANG uses Supabase for authentication and Razorpay for payment processing. This is standard SaaS infrastructure, explicitly disclosed, and completely separate from your interview content. Your login session and payment data are handled by these providers. Your interview audio, transcripts, context files, and AI responses never pass through these services.

The Data Routing Comparison

The Accurate Privacy Position

To be precise about what faFAANG claims and what it doesn't: your interview audio stays on your machine. Your resume stays on your machine. Your context files stay on your machine. When you get an AI response, it comes from your own ChatGPT account — not faFAANG's servers.

Auth and billing use standard cloud services (Supabase, Razorpay) — this is disclosed and expected. But your interview content — the audio, the transcripts, the context, the responses — never passes through faFAANG's infrastructure.

This isn't a privacy policy promise. It's an architectural fact. faFAANG cannot access your interview data because the data paths don't include faFAANG's servers. The Moonshine model runs locally. The ChatGPT connection is yours. The files are on your disk. There is no server-side component that touches interview content.