Launching today
Zero Assist
Real-time AI cheating detection for technical interviews
90 followers
Real-time AI cheating detection for technical interviews
90 followers
Detect Parakeet AI, Final Round AI, Cluely & 20+ AI cheating tools in real time. Secure your remote technical interviews with Zero Assist.Zero Assist is a forensic-grade interview monitor that detects AI cheating tools like ChatGPT, Parakeet AI, and Copilot in real time. Deploy a silent agent and get instant alerts on your dashboard if candidates use unauthorized AI assistance.
Zero Assist
Hey Product Hunt! 👋 I'm Vaibhav, the maker of Zero Assist.
Remote technical hiring is fundamentally broken right now. Candidates are increasingly using stealth AI tools like Parakeet AI, Final Round AI, and ChatGPT to pass interviews. Traditional screen sharing can't detect audio-based whispers, hidden browser tabs, or GPU overlays.
I built Zero Assist to fix this and restore integrity to remote hiring. It’s a lightweight, forensic-grade agent that runs on the candidate's machine during the interview and monitors OS-level processes.
✨ Key Features:
Real-Time Detection: Catches 20+ known AI cheating tools the moment they launch.
Silent & Seamless: Runs in the background with no intrusive pop-ups for the candidate.
Live Interviewer Dashboard: Instant alerts delivered via WebSockets (<500ms latency).
Deep Forensic Evidence: Post-session audit reports with exact timestamps and process metadata.
Privacy-First: Legal compliant. Exits cleanly after the session, leaving no persistent footprint.
Zero Assist empowers engineering and HR teams to make hiring decisions based on genuine ability, not AI assistance.
I'd love to hear your feedback, answer any questions about how the detection works, or take feature requests below! 👇
Product Hunt
Zero Assist
@curiouskitty Great question. Copilot, IDE assistants, accessibility apps — none of these use a capture-excluded always-on-top overlay. They're normal visible windows. Our detection targets that very specific combination of flags, not just "any AI tool is running."
The evidence in the report is a timestamped log of exactly what was detected — process category, window flags, and time of detection. Factual, not interpretive. The hiring team decides what to do with it.
the silent agent deployment is the part i'd want to understand from a legal and consent standpoint. depending on jurisdiction, installing monitoring software on a candidate's machine during an interview has compliance implications that vary pretty significantly. does Zero Assist require explicit candidate consent before deployment and how are you thinking about the liability if a candidate later claims unauthorized monitoring? that's not a hypothetical question in 2026, it's already happening in employment law
Zero Assist
@ansari_adin That's the great question and something we take incredibly seriously, especially given the strictness of modern law .
To clarify: Zero assist is never deployed silently without the candidate's knowledge. The monitoring is what is happening silently during the interview, so as not to distract the candidate with any pop-ups, but the deployment itself requires explicit informed consent.
We have Explicit Upfront opt-in consent -- the agent physically cannot run until they explicitly click accept and continue
We are logging a forensic audit trail of the consnet
And we are having a data retention policy period...
Unlike the legacy proctoring tool, we are not recording screen, webcam footage, and personal files ...
We built this to protect both the integrity of the hiring company and the privacy of the candidate. If you have any other questions about the architecture, I'd be happy to dive deeper!
Interesting problem to solve, but I'm curious about the flip side, as AI tools get better at mimicking "natural" behavior, how do you stay ahead without the detection itself becoming a false-positive machine that flags good candidates unfairly?
Zero Assist
@campixl Great point Camelia — but that’s actually where we’re fundamentally different from behaviour-based tools.
We don’t care how naturally the AI behaves. We don’t watch typing speed, answer pacing, or eye movement at all.
No matter how much these tools evolve, they still have to do two things — run on the machine and stay hidden from the interviewer. The moment they drop the overlay, they show up in screen share and the candidate is caught instantly. So the overlay isn’t optional for them. It’s structural. And that’s exactly what we detect.
So the AI getting smarter at mimicking natural behaviour doesn’t move the needle for us. The detection surface doesn’t change.
moop
Great mission and concept! As mentioned the false positives is the big concern. Have you tried testing it with "generic" sounding interviews? ones that might be flagged as AI but aren't?
Zero Assist
Zero Assist
@louislecat Great question! We specifically designed the architecture to be incredibly fast and lightweight without requiring invasive kernel-level drivers.
Zero Assist acts like a highly specialized digital security guard on the candidate's computer. It constantly scans the background for unauthorized processes, screen overlays, and hidden browser tabs. If a known AI cheating tool is launched during the interview, the agent instantly beams a live alert directly to the interviewer's dashboard in under half a second ..
just curious about privacy invasion with your product.