Hey guys, I got an invite for this test, but I read it here on Reddit that it is an AI Assessment which performs the complete system check including webcam, mic, remote desktop access including keyboard sound, mouse clicks.
Please share if any one has any solution for this test or any tool which I can use, so I can clear this one? Should I use external monitor connected to my laptop?

Building an AI that interviews you out loud based on the actual job description — would you use this?"

Paste any JD from LinkedIn or Indeed. PrepJD reads the role and conducts a spoken mock interview tailored to that exact job — not generic questions from a YouTube video. You speak your answers out loud, it follows up, and gives feedback at the end.

Trying to figure out if people actually want this before I build it. Link in comments if you're curious
https://azure-rhianna-9.tiiny.site

I have many OA going on and on all on hackerrank desktop app, and after a bit of researching, i have found that every tool out there, even the paid ones are getting flagged, is there literally no bypass for the desktop app, i need it for my OAs

Does anyone feel that they are spending more time applying jobs now that they did say a couple of years ago before the break-out of AI?

Is there a good end to end AI tool from identifying to interview process?

Any recommendations would be highly appreciated.

Thanks.

I want to post my theory and ask whether HirePro's screen-sharing feed captures screenshots only when JavaScript code raises any flag, or captures screenshots at around 1–2 FPS and then analyzes them to detect any abnormalities.

Because handling both camera feed and screen-recording feed of 300+ students for 1–2 hours seems challenging.

And I also found their extension is just to enable and disable other extension and report if any extension is forcefully turned on

After 4 years been the interviewer and not the one doing interviews; I honestly have to recognize that as soon as I started practicing, I was very rusty.

I tried ChatGPT and other tools and The feedback was always the same: "strong technically, but didn't structure answers well." No one would tell me what specifically I was doing wrong in the moment or how exactly restructure my answer..

So I built Interview Sparring (at interviewsparring.com ); it's like having a coach sit next to you during mock interviews and tap your shoulder making it easier to speak outloud and building that confidence

I think the best asset of this tool is all the explorations, books and tools that I have tried, which resulted in my https://interviewsparring.com/tips posts, recently a colleague told me: "The Tips material is top notch; It's awesome that you are posting all that for free

How it works:

- Fill the job description you're targeting → it understands the role's requirements
- Upload your CV → AI extracts your skills, experience, and flags gaps

- The AI interviewer then generates questions specific to you

Post-session you get:

- Per-answer scoring (0-10) with specific weaknesses flagged

- An AI-rewritten model answer (what you should have said)

- A STAR quality breakdown

- Overall coaching summary and how to improve your answer to try again!

Other stuff:

- 6 interviewer personalities including a "distracted manager" who checks their phone and interrupts

I was thinking on having a "BYOK" model (Bring your own key model) given that the majority of the cost is on OpenAI Realtime API, so people can enjoy the app and paying less, but I disabled it given I thought people could distrust the app or too difficult for people to understand and configure -> Do you think this could be valuable feature?

Try it: https://interviewsparring.com (free tier 3 sessions, no card required)

Would love feedback what feature would make you actually use this?
The CV-tailored questions or the real-time speaking feedback?
Add your own "questions" ?
Questions focus (practice only one question?

You tell me! I will really appreciate your time and feedback

Indie dev here. Launched a beta for a Mac app similar to InterviewMan. Can't compete on polish or feature depth yet, but I blow it out of the water on price.

Insight is, and will remain, free while in beta. It works with two free API providers.

Willing to pay $0?

https://ai-editor.app/insight/

been prepping for a bunch of tech interviews lately, just trying to get a feel for the flow and what kind of stuff they ask. mostly leaned on blind and leetcode.

had an amazon sde interview last friday and walked in to find like half of it was behavioral GenAI questions?? did not see that coming at all lol. straight up fail.

that's kinda when it hit me that I had no idea what this company actually asks. I was just prepping for some vague "tech interview" in my head, stitching stories together, and yeah I was nervous and just not ready.

a friend put me onto this thing called Screna AI over the weekend. you can look up real recent interview experiences by company and prep off that instead of guessing. what got me was how recent the stuff is, like people who interviewed last month recent. saw the GenAI behavioral thing come up over and over for amazon which explained a LOT about why I bombed lol.

and it's not just a list of questions, people actually write out how the round went, what the interviewer dug into, what they wish they'd said, if they passed. that part's honestly more useful than the questions themselves.

also the mock interview runs off those same real questions so I'm not just answering random ai-generated ones anymore, I'm drilling what people actually got asked where I'm interviewing.

got meta, uber and a mid-sized company coming up and I found the actual questions for those roles on there too. finally feel like I kinda know what I'm walking into instead of just winging it. Also checked the pricing after using it，full access to the interview experience library is on the $29.99 plan. 

I’ve been using AI for interview prep for a while, but honestly I don’t think I was using it very well.

I’d ask gpt and claude to mock interview me, but I never really knew if I was practicing the right stuff. Half the time I was just answering random questions with no idea if they were even relevant to the company I was interviewing with.

A friend recently recommended Screna AI to me and told me they had real interview experiences and questions on there. Before that, I was usually digging through Glassdoor and random Discord channels trying to find recent questions, so having everything organized by company and role has honestly been way more convenient.

I also tried their AI mock and realized it’s based on the same interview question bank, which I actually really like. Instead of just getting completely random AI-generated questions, I can see what people have actually been asked and then practice similar questions out loud.

Now I basically look through a few recent interview experiences first, figure out what I actually need to prepare for, and then use the mock to practice. Still early, but this has been working a lot better for me so far lol.

I have a hacker rank assessment.

Can i cheat using AI?

By capturing the question from laptop and than solve it

I was deciding on whether to by Interview Coder, but then Fable 5 came out. So I spent $100 on Cloud Pro Max Plan just to ask Fable 5 to reverse engineer Interview Coder. Total Time: 10hours of prompting and I have my own Interview Coder app. So instead of paying $200 a month I'd suggest you ask Fable 5 to reverse engineer or just prep for the interview.

What would an ideal interview assistant do?

Indie dev here. Launched a beta for a Mac app similar to InterviewMan. Can't compete on polish or feature depth yet, but I blow it out of the water on price.

Insight is, and will remain, free while in beta. It works with two free API providers.

Willing to pay $0?

https://ai-editor.app/insight/

I've tried a few tools, but I was wondering if there's a tool that can hold an entire session in memory so it can handle follow-up questions — system design interview questions feel more natural that way. Which tool is best, and which is undetectable by someone experienced? I've tried some already, but a few only keep about 3,5 minutes of memory max, which isn't good enough for an interview. If anyone knows other tools, please let me know

hey everyone!

i have been interested in the quant space ever since I did a minor in finance last year alongside cs as my major. I started to apply for quant roles and preparing for interviews when I bumped into a problem - I could not find any ‘leetcode’ for quant finance where you could practice math questions, practice mm games, probability and everything needed for a quant interview.

with my cs background, i decided to fill the gap and build it myself. that is how NeetQuant was created neet-quant.com. it has a growing question bank of 600+ questions spread across probability, EV, conditional probability, combinatorics, statistics, random variables, linear algebra, stochastic processes, finance & derivatives, brainteasers, programming/DSA, market making & betting games and more. it also has an Optiver’s Beat the Odds inspired online assessment simulator which gives you 90s for each probability focused mcq. you can configure the difficulty and also amount of questions for each practice run. it also has a market making timed game, kelly betting simulator, fair or rigged?, take the bet? (quick fire EV estimation) and more. every game is configurable and random seeded so you can play it many times and each is different. 

it has really become a passion project for me and I am actively working on it and expanding it week by week. I would love to get an opinion on the website - what you think of it overall and if you consider it helpful for interview prep. also feel free to share extension ideas, I am keen to hear feature ideas to implement.

thanks for feedback!

How would any of you that have worked on both platforms compare them? I am just starting on DataAnnotation. I have done some work with micro1.ai where they had us test different projects with given prompts and respond with how accurate we thought the response was. From what I have seen so far, DataAnnotation wants us to provide our own codebase and make up issues to stress an LLM? I’m a senior level developer, but most of my work has been on internal corporate work. I could easily come up with problems on them. I can’t use their codebases for these projects though.

Has anyone else had this issue? Am I just too early in the process to see what actual projects are like?

I have a hackerrank assessment from wells fargo. I have to download the hackerrank app to take the test. What ai tool can help me?