Hello Fellow Hackers!
I am long time lurker on this website. I have been building apps for Big Tech for over a decade now and decided to finally build something of my own.
Over the past few years, switching jobs, getting promotions and seeing first hand what different System Design Interviews can make on your salary (upwards of 6 figures), I started finding resources to prep harder before my last job switch. What I found missing was that LeetCode style interviews were easy to practice but System Design Prep was extremely hard especially for Mobile (iOS/Android) domain.
Joined a bunch of discord servers and slack communities to find messages like "Hey, anyone available for a mock this saturday?" ... No response
"Hey, I am prepping for Meta E6 role, looking for a mock interview buddy"... No response
Then I even started seeing messages like, "Willing to give an Amazon Gift Card, if anyone can do a mock interview with me"
This made me think, what if we could solve for this?
So I started looking for existing solutions and found plenty of mock interviewing websites. The only problem -- none felt real!
Either you had to type your message as if you are chatting with GPT, or you have to record your voice and then hit send and then wait, some don't even have a whiteboard for you to draw the stuff with.
This gave rise to the idea that I wanted to execute on: Welcome - Archly.dev
It is an AI based mock interviewing platform that sounds human!
I believe as AI becomes better there is going to be a great shift in interviewing where companies will start to value process over product and strategy over solutions. This will eradicate leetcode style interviews and make system design like interviews more and more popular. Hopefully, I can build platform that can help facilitate the prep for such interviews.
Looking forward to any feedback you all have for me on this journey.
Nice work—AI-powered mock interview tools are definitely the future
If you’re checking out what’s already out there or looking for inspiration, Futuremug is a strong example in this space. It uses AI to run realistic mock interviews with dynamic follow-up questions, role-based evaluations, and detailed feedback on both technical and behavioral responses.
It’s interesting to see how platforms like Futuremug are moving beyond static Q&A and focusing more on real interview simulation and data-driven insights.
Really like this idea—system design prep is genuinely harder than LeetCode because you need real-time conversation and feedback, not just answers.
The problems you listed (scheduling, no quality interviewers, “gift card for a mock”) are exactly what I’ve seen too.
One suggestion: if you can show a “feedback report” after each session (strengths, gaps, next topics, rubric-based scoring), it’ll instantly feel more real and more useful.
I work on hiring/interview operations too (we build at Futuremug), and the biggest win comes from structured evaluation and consistent feedback, not just the interview itself. Great work — keep going!