Interviews.Chat does a lot right. The transcription is reasonably accurate, the answer suggestions are context-aware, and the interface is clean enough that you’re not spending half the interview figuring out where to look. For people who’ve never used a live interview assistant before, it’s a decent starting point.
The issues I keep running into, and that I hear about from people who’ve used it seriously across multiple interview rounds, aren’t about the product itself. They’re about the architecture.
The core problem with browser-based interview tools
Interviews.Chat runs in the browser. That’s how it was built, and it means everything that comes with running in a browser applies: it’s visible in your extension list, it shares network bandwidth with your video call, it processes audio through the browser’s API rather than at the system level, and it’s potentially visible to screen-share sessions.
The latency difference between browser-based processing and native desktop processing is measurable. Browser tools in this category typically take 3-4 seconds from audio input to displayed suggestion. Native desktop apps that capture system audio and process it without the browser layer are typically 1.5-2.5 seconds. During a live coding question where you’re expected to narrate your thinking, a 4-second pause reads as hesitation. A 1.5-second gap is invisible.
There’s a more uncomfortable version of this: some companies using proctoring software for technical assessments (HackerRank, Codility, some custom take-homes) actively look for running browser extensions. I don’t know the exact detection rate or how systematically this is enforced, but it’s a real consideration that browser tool vendors rarely address directly.
Five alternatives worth considering
Craqly is the one I’d recommend for most people doing active live interviewing in 2026. It’s a native desktop app, which solves the screen-share detection issue structurally rather than by hoping the interviewer doesn’t look at the extension list. The stealth mode keeps its overlay outside the screen share region. Free tier gives you 30 minutes, which is a real test rather than a marketing gesture. Pro is $38/month for 3 hours. Pro + Stealth is $59/month for 10 hours, and that’s what most people doing multiple rounds per week end up using. Coverage includes coding, behavioral, and general interview questions, which puts it ahead of tools that only handle one interview type.
Final Round AI is the longest-established desktop option in this space. At around $99/month it’s more expensive than Craqly, and for most people in a 4-6 week job search the math is harder to justify. For a longer senior-level search where you need deeper coaching features, it’s worth looking at. The company has been around long enough that there’s real user feedback and a mature feature set.
LockedIn AI is browser-based like Interviews.Chat, at $50-70/month. I’ll say plainly: I don’t see why you’d pay 5x the price of Interviews.Chat for a tool with the same fundamental architecture and similar detection exposure. The features are somewhat richer, but the core structural limitation is the same.
Interview Solver is a desktop app and the stealth properties are solid. It’s coding-only, though. If your interviews include behavioral rounds, system design, or hiring manager conversations (which most do), this covers only part of the process.
Natively is open-source and free. It requires technical setup and isn’t polished the way commercial tools are. If you’re comfortable with that tradeoff, the value is real. I genuinely don’t know how its behavioral question handling compares to paid tools; the coding assistance is the well-documented use case.
Browser vs. desktop: a practical comparison
| Factor | Browser-based (Interviews.Chat, LockedIn AI) | Desktop (Craqly, Final Round AI, Interview Solver) |
|---|---|---|
| Visible in screen share? | Potentially yes (extension list, active tabs) | No (separate process, stealth overlay) |
| Audio latency | 3-4 seconds typical | 1.5-2.5 seconds typical |
| Proctoring software risk | Higher (extension scanning) | Lower |
| Setup complexity | Low (browser install) | Moderate (app download + permissions) |
| Works during video call? | Competes for bandwidth | Separate process, less interference |
What the data suggests about the interview market
The LinkedIn Economic Graph has been tracking hiring trends showing that technical interview rounds have gotten longer and more multi-stage at mid-to-large companies, particularly since 2022. More rounds means more chances for a browser-based tool to cause friction, and more sessions where latency and detection risk compound.
According to the Stack Overflow Developer Survey 2024, 76% of professional developers now use AI tools regularly in their day-to-day work. Interviewers are in that 76%. The assumption that AI assistance during interviews is invisible is increasingly wrong, which is part of why the architecture question (browser vs. desktop) matters more now than it did two years ago.
What I’d actually do
If you’re currently using Interviews.Chat and it’s working, the question to ask yourself is: have you done a live interview with screen sharing active where you were confident the tool wasn’t visible? If the answer is yes and you’ve had no friction, your current setup is fine.
If you’re evaluating for the first time, or you’ve had an interview where the tool caused any awkwardness, start with Craqly’s free 30-minute tier. Test it in a mock interview with screen sharing on. See whether the overlay behaves the way the stealth mode claims. That 30 minutes will tell you more than any comparison post, including this one.
The tool that’s slightly less capable but shows up in 1.5 seconds and is invisible to screen sharing beats the more capable tool that takes 4 seconds and requires you to hope no one looks at your extension list.