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MockRounds AI
Practice interviews that actually feel real.
Most tools focus on problems (LeetCode) or unstructured peer mocks. Mockrounds focuses on interview performance. It’s a voice-first AI interviewer that listens, asks dynamic follow-ups based on your answers and whiteboard, and pushes you like a real senior engineer. You get FAANG-style evaluation plus a spoken debrief and written report. The goal isn’t practice questions — it’s practicing how you think, communicate, and perform under real interview pressure.
Hey Product Hunt,
Mockrounds is the AI interviewer I wish I had when preparing for FAANG interviews.
When I was prepping, I realized something: solving problems wasn’t the hard part — performing in the interview was.
You can grind LeetCode and understand system design concepts, but when you’re asked to explain your thinking under pressure, structure your answer, and handle follow-ups in real time — it’s a completely different skill.
I tried mock interviews with coaches. They were helpful, but at $150–300 per session, it’s not something you can do consistently. Most people end up doing 2–3 sessions before a big interview — which is nowhere near enough.
There are free mock interview platforms too, but they often lack seriousness, structure, and actionable feedback.
That’s the gap I wanted to solve.
So I built an AI interviewer that behaves like a real senior engineer in an interview — it listens to you, watches your whiteboard, asks follow-up questions based on what you actually said, and evaluates you the way Amazon and Meta interviews do.
Each session is designed to feel like a real round:
* a 30-minute mock with a voice AI interviewer (not a chatbot)
* a live whiteboard or code editor depending on the round
* real-time follow-ups based on your answers and drawings
* a detailed written report with FAANG-style scoring
* and a spoken debrief at the end — what worked, what to fix
Right now, it supports System Design, DSA, and Behavioural rounds.
Pricing was something I thought a lot about. I didn’t want subscriptions — you shouldn’t be paying when you’re not interviewing. So I kept it simple:
* $19 for 1 session
* $39 for 3 sessions
* $59 for 5 sessions
Sessions never expire, and there’s a full money-back guarantee on your first one.
I built this because I’ve seen strong candidates fail — not because they didn’t know the material, but because they hadn’t practiced communicating it clearly under pressure.
The depth was there. The performance wasn’t.
There’s also a free 5-minute preview if you want to try the AI before paying anything.
If you’re preparing for interviews, I’d really value your feedback — what feels real, what doesn’t, and what would make this 10x better.
— Ravi, building solo
About MockRounds AI on Product Hunt
“Practice interviews that actually feel real.”
MockRounds AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #86 on the daily leaderboard. Most tools focus on problems (LeetCode) or unstructured peer mocks. Mockrounds focuses on interview performance. It’s a voice-first AI interviewer that listens, asks dynamic follow-ups based on your answers and whiteboard, and pushes you like a real senior engineer. You get FAANG-style evaluation plus a spoken debrief and written report. The goal isn’t practice questions — it’s practicing how you think, communicate, and perform under real interview pressure.
On the analytics side, MockRounds AI competes within SaaS, Software Engineering and Artificial Intelligence — topics that collectively have 552.9k followers on Product Hunt. The dashboard above tracks how MockRounds AI performed against the three products that launched closest to it on the same day.
Who hunted MockRounds AI?
MockRounds AI was hunted by Ravi Kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MockRounds AI including community comment highlights and product details, visit the product overview.
Ravi Kumar