DevInterview.AI
Live mock interviews that make software interviews feel rehearsed.
Tagline
Mock the interview. Stop winging it.
The closest thing to a real software interview.
Practice how you’ll actually be judged.
See why you miss offers after passing coding.
The closest thing to a real software interview without a human interviewer.
The live voice format, follow-up questions, hints, and 30-minute structure replicate the pressure and conversational rhythm candidates actually face.
A mock-interview alternative to LeetCode that tests how you perform, not just what you know.
Unlike static problem banks, this product evaluates verbal reasoning, edge-case handling, technical communication, and interviewer back-and-forth.
The fastest way to diagnose why you keep missing offers after 'passing' the coding round.
The detailed scoring breakdown and specific improvement notes expose weaknesses in communication, depth, and edge-case handling that typical practice platforms ignore.
Primary user
Software engineer preparing for FAANG-style interviews, especially one actively interviewing at Google, Meta, Amazon, or Apple
ICP #1
Mid-level software engineer with 3-7 years of experience interviewing for big-tech backend roles
Pain
They can solve problems alone, but freeze when asked to explain tradeoffs, handle edge cases aloud, or recover when an interviewer pushes back.
Why this solves
The product forces them to talk through solutions in real time, asks follow-ups like a senior engineer would, and scores communication plus problem-solving so they can identify exactly where they break down.
ICP #2
Senior SWE preparing for onsite loops at Google, Meta, or Apple
Pain
They know the algorithms and architecture concepts, but need reps for the exact pacing, pressure, and interaction style of a 30-minute interview.
Why this solves
DevInterview.AI mirrors the actual interview format across coding, system design, and behavioral sessions, making practice feel closer to the real loop than passive question banks or video courses.
ICP #3
Interview coach or bootcamp instructor running mock interviews for job seekers
Pain
They need scalable practice that feels human, gives consistent feedback, and can cover multiple interview types without scheduling every session manually.
Why this solves
The AI interviewer can run unlimited sessions on demand, apply the same scoring rubric every time, and generate actionable feedback across coding, communication, and depth of answer.
Strengths
- +Clear product demo on-page: the FizzBuzz transcript instantly shows the live conversational flow and follow-up behavior
- +Strong credibility signals from named companies, landing-offer claim, and testimonials from a SWE team lead, interview coach, and senior SWE
- +Excellent feature specificity: code editor, Excalidraw canvas, STAR format, and scoring dimensions are all concrete
Weaknesses
- −The page says a lot, but still doesn’t clearly differentiate from Pramp or interviewing.io in one blunt sentence
- −“600+ companies. Yours is probably here.” is vague and undersells the company-specific matching without proving the catalog
- −The pricing section is too thin for a high-intent buyer: 'First interview free. Unlimited from $16/mo' lacks plan details, limits, or trust-building context
- −The home page over-indexes on broad promise and under-explains how the AI interviewer is trained, calibrated, or evaluated
- −The testimonials are strong but too generic and not tied to measurable outcomes like pass rate, confidence improvement, or offer conversion
Fix these
- Add a direct comparison section against Pramp, interviewing.io, and LeetCode showing what this does better and where it is intentionally different
- Replace '600+ companies. Yours is probably here.' with proof: searchable company list, logos, or examples by level and interview type
- Expand pricing into clear tiers and include what unlimited means, what’s included for free, and whether company-specific content is gated
- Add outcome-oriented proof: before/after scores, candidate success stories, and metrics like interview pass rate or repeat usage
- Create dedicated landing paths for coding, system design, behavioral, and company-specific prep so traffic from each intent sees tailored messaging
Drop-in replacement copy
Headline
Rehearse the real interview
Live mock interviews for software engineers
Practice the whole conversation
Run live voice mock interviews that ask follow-ups, challenge your decisions, and force you to think out loud. It feels much closer to a real software interview than a static question bank.
Train the exact interview type
Switch between coding, system design, and behavioral rounds in one place. Use a real code editor, Excalidraw canvas, or STAR flow depending on the loop you need to fix.
Know why you failed
Every session ends with scoring across communication, problem solving, language proficiency, and technical communication. You get clear feedback on where you broke down, not generic encouragement.
Practice for the company you want
Use company-specific interview problems for Google, Meta, Amazon, Apple, and other top tech companies. Rehearse the style and pressure of the loop you’re actually trying to pass.
FAQ
How is this different from LeetCode?
LeetCode tests whether you can solve a problem. DevInterview.AI tests whether you can perform in the interview: explain tradeoffs, handle pushback, and stay clear under pressure.
Is the interviewer actually live?
Yes. The AI interviewer asks follow-ups in real time, gives hints when you stall, and keeps the session moving like a human interviewer would.
What interview types do you support?
Coding, system design, and behavioral interviews. Coding sessions include a real editor; system design uses an Excalidraw canvas; behavioral uses structured STAR practice.
Who is this for?
Mostly SWE candidates interviewing for big-tech or high-bar startups, especially engineers who can solve alone but freeze when the conversation gets real.
Do you support company-specific prep?
Yes. You can practice with interview styles and problem sets matched to companies like Google, Meta, Amazon, and Apple, plus other top tech employers.
That’s the real interview bug. DevInterview.AI runs live voice mock interviews for coding, system design, and behavioral rounds. It pushes back, asks follow-ups, and scores how you actually communicate under pressure.
LeetCode checks if you can solve it. Real interviews check if you can explain tradeoffs, recover from pushback, and stay clear while someone interrupts you. That’s what DevInterview.AI trains.
DevInterview.AI is live. Run realistic mock interviews with a voice AI that follows up like a real interviewer, gives hints when you’re stuck, and scores communication, problem solving, and technical depth. No scheduling. No awkward favors.
People could solve the problem alone. Then they got to the real interview and fell apart when asked to think out loud. So I built a tool that makes you rehearse the pressure, not just the answer.
Most practice tools stop at the question. This one keeps going: follow-ups, hints, edge cases, scoring, and a full breakdown after the session. That’s the difference between practice and rehearsal.
A lot of candidates have the algorithm. They lose the offer because they can’t pace the conversation, defend decisions, or handle interviewer pushback. DevInterview.AI is for that gap.
Coding round: live editor. System design: Excalidraw canvas. Behavioral: STAR flow. Same pressure as the real thing, minus the human scheduling chaos.
Company-specific mock interviews are here. Train against the style, pacing, and pressure of top tech interviews instead of guessing what they want. Make the real interview feel like a rerun.
Not repetition of questions. Repetition of the full loop: answer, pushback, hint, recovery, score, repeat. That’s how you get calm on interview day.
Question banks tell you what to study. Mock interviews tell you what breaks when you have to speak, think, and defend under time pressure. That’s a much more useful signal.
Angle: closest thing to a real interview
Most interview prep tools optimize for content. Candidates memorize problems, watch explanations, and feel productive. Then the real interview starts, and the failure mode is obvious: They know the answer, but they don’t sound ready. That’s why I built DevInterview.AI. It runs live-voice mock interviews for coding, system design, and behavioral rounds. The AI interviewer asks follow-ups, pushes on tradeoffs, gives hints when you’re stuck, and scores the session after it ends. The goal is not to make practice easier. The goal is to make the real interview feel familiar. If you’re interviewing for Google, Meta, Amazon, Apple, or any other high-bar role, you don’t need more passive prep. You need reps under pressure. That’s what this is.
Angle: tests performance, not knowledge
A lot of engineers can solve interview problems alone. The gap shows up when they have to do it out loud. Explain a tradeoff. Handle a follow-up. Recover when the interviewer challenges an assumption. Keep the conversation tight without sounding robotic. That gap is why strong candidates still miss offers. DevInterview.AI is designed to train that specific failure mode. You can practice coding in a real editor, system design on an Excalidraw canvas, and behavioral answers in a structured STAR flow. Each session ends with scoring across communication, problem solving, language proficiency, and technical communication. It’s basically a rehearsal room for software interviews. Not a content library. Not a passive course. A place to find out where you actually break.
Angle: diagnose why offers are missed
If you keep getting to final rounds and missing offers, the problem is rarely “not enough studying.” Usually it’s one of three things: 1. unclear communication 2. weak pushback handling 3. shallow tradeoff thinking under pressure Those are hard to spot in solo practice. They’re also hard to spot in static question banks. So I built DevInterview.AI to force the full interaction loop. Live voice interviewer. Follow-up questions. Hints when you stall. Detailed post-session scoring. Company-specific practice for top tech loops. The point is simple: identify the exact reason you’re not converting interviews into offers. Then fix that before the next loop.
No visuals for this kit yet.
Tagline
Live mock interviews for SWE candidates
Description
Practice coding, system design, and behavioral interviews with a voice AI that follows up, gives hints, and scores your performance after every session.
Maker's first comment
I built DevInterview.AI because I kept seeing the same pattern: people could solve the problem, but the interview still went sideways when the pressure got real. They’d freeze on follow-ups, get vague on tradeoffs, or realize too late that they sounded unprepared. The product is meant to close that gap. It doesn’t just ask a question and move on. It keeps the conversation going like a real interviewer, uses a coding editor or design canvas when needed, and gives you a breakdown after the session so you know what actually broke. If you’re interviewing right now, I’d love to know what’s most painful: coding, system design, behavioral, or just the pressure of being watched live. That’s the part I want to keep improving.
Pinned maker comment
Looking for feedback on the realism of the interviewer, the usefulness of the scoring breakdown, and whether the pricing is clear enough for high-intent buyers.
Meta
You can solve the problem alone.
The interview still fails when you have to explain it out loud. DevInterview.AI runs live mock interviews for coding, system design, and behavioral rounds, with follow-ups, hints, and post-session scoring. Hypothesis: candidates stuck in final rounds need rehearsal, not more content.
Google Search
Mock interview for software engineers
Practice realistic live-voice interviews for coding, system design, and behavioral rounds. Follow-up questions. Hints when you’re stuck. Detailed feedback after each session. Hypothesis: searchers want interview practice that feels closer to the real loop than LeetCode or static question banks.
Reddit Promoted
LeetCode isn’t the hard part.
The hard part is staying clear when the interviewer pushes back. DevInterview.AI lets SWE candidates rehearse live mock interviews with follow-ups, a real editor, an Excalidraw canvas, and scoring across communication plus technical depth. Hypothesis: r/cscareerquestions readers in active interview cycles will want a tool that trains interview performance, not just solutions.
Subreddits
r/SideProject
Show a transcript screenshot of a live mock interview and ask for brutal feedback on realism.
Rules: No spammy launch posts; explain the build, include product demo, invite critique, and engage in comments.
r/indiehackers
Share the build story: why question banks fail interview prep and what you built instead.
Rules: Must be founder-story focused, not pure promotion; be specific about the problem and what you learned.
r/microsaas
Talk about niche SaaS for one painful job-to-be-done: interview rehearsal for SWE candidates.
Rules: Keep it useful, concise, and product-focused; avoid broad marketing language.
r/cscareerquestions
Ask what actually causes candidates to lose final rounds after passing coding screens.
Rules: Be helpful first, avoid direct sales language, and stay within subreddit career-discussion norms.
r/leetcode
Position it as the missing layer after solving the algorithm: explaining, defending, and recovering live.
Rules: No low-effort ads; tie the tool to interview performance and real prep pain.
Communities
Post a build log with screenshots, then reply to every comment with concrete numbers, pricing decisions, and what failed.
Launch as a useful tool for engineers, with a technical breakdown of the interviewer loop and the scoring model.
Launch when you have strong demo assets, a clean comparison page, and 20+ supporters ready to comment meaningfully.
LinkedIn SWE / Career groups
Post a short clip of a live mock interview and ask senior engineers what they’d want to rehearse before onsite loops.
Cold outreach template
Hey {firstName} — saw you’re prepping for {context}. I built DevInterview.AI to rehearse live mock interviews with follow-ups, hints, and scoring, since most candidates freeze on the actual conversation. If you want, I’ll give you 3 free sessions and you can tell me where it feels unrealistic.
Product Hunt timing
Launch on Tuesday or Wednesday, 9–10am PT, after you have a clean demo video, founder story, and at least 20 warm supporters queued up. Midweek launch helps you avoid weekend churn and gives you time to reply hard in comments.
Indie Hackers post ideas
- 01I built a live mock interview tool because LeetCode wasn’t the problem
- 02How I’m trying to make software interview prep feel like the real thing
- 03What candidates actually need after passing the coding round
Competitor alternatives
Current tone of voice
Confident, aspirational, and interview-native, with lines like “Make the real interview feel like a rerun” and “Land your dream offer.”
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