We didn't build this because we love LeetCode.
We built it because we hate what it's become.
LeetCodeSaurus started as a shared frustration between four engineers — two from FAANG, two from strong tier-2 and tier-3 companies — who went through the same broken process, watched talented people fail it, and decided to stop complaining and start building.
The interview process is broken
We're not the first people to say this. But we're tired of just saying it.
Interviews test performance anxiety, not engineering
Solving an unfamiliar algorithm on a whiteboard under pressure in 30 minutes tells you almost nothing about whether someone can build good software. It tells you whether they can perform under artificial stress.
Preparation is a full-time job — and that's not fair
Cracking a FAANG interview requires hundreds of hours of dedicated prep. Candidates with more free time, less financial pressure, and better access to coaching have a massive structural advantage. Nothing to do with ability.
The same 200 problems, over and over
The industry converged on a set of algorithmic puzzles that have nothing to do with real work. Every company running the same playbook means every candidate grinding the same grind — forever.
Gatekeeping masquerading as meritocracy
The system consistently filters out people who haven't had the time or money to prep, while letting in people who are good at gaming the process. That's not meritocracy — it's a tax on people who can least afford it.
Black-box feedback
Fail an onsite? You'll rarely learn why. Interviewers are trained to say nothing. Candidates spend months improving in the dark with no signal about what actually went wrong.
So why build a tool that plays along?
Fair question. We thought about it for a long time.
The reality is: the system isn't changing on your timeline. Companies are still running the same loops, and candidates still need offers. Opting out is a privilege most people can't afford.
We built LeetCodeSaurus because we believe everyone deserves a fair shot at navigating a system that wasn't designed with them in mind. If the game is rigged, the least we can do is give everyone the same cheat sheet.
We're not trying to replace the hard work of learning to code. We're trying to close the gap between the candidate who has 40 hours a week to prep and the one who has 4. Between the person with a mentor and the one grinding alone.
The process is broken. But until it gets fixed, you still need the job.
Who we are
Four engineers. Two from FAANG. Two from tier-2 and tier-3 companies. All of us went through the process. All of us have opinions.
Vlad K.
Ex-FAANG · Backend
“I passed six rounds of a top-tier onsite and still got ghosted for two weeks. The process is designed to exhaust you, not evaluate you.”
Alex J.
Tier-2 fintech · Infra
“I watched brilliant colleagues fail LeetCode screens because they hadn't memorised a specific algorithm. It has nothing to do with how good an engineer you are.”
Mike R.
Ex-FAANG · ML
“I've been on both sides of the table. The people designing these interviews know they're broken. They just haven't found anything better — so we built something.”
Sara L.
Tier-3 startup → FAANG
“I came from a non-traditional background and the game felt completely rigged. I had to grind for 200 hours before I could even get a callback. That shouldn't be normal.”
Privacy by design
We all went through interviews where we felt surveilled — proctoring software, suspicious remote monitoring, the paranoia of not knowing what the interviewer's screen could see. We built LeetCodeSaurus with those experiences in mind.
Not trackable or detectable
LeetCodeSaurus is not visible to screen recording software, screen sharing tools, or remote proctoring systems. The app windows are excluded from capture at the macOS level — even if someone is sharing your screen, they cannot see the app. This was tested extensively across Zoom, Google Meet, Microsoft Teams, and common proctoring tools.
No background activity
The app does nothing until you press a hotkey. It does not monitor your screen, read your browser tabs, or send data unless you explicitly trigger a capture. Accessibility permission is used only to read the active browser URL for LeetCode problem detection — nothing else.
Minimal data collection
We store your account info and, optionally, your last solution so you can reference it across devices. We do not log problem content, capture history, or browsing activity. Your solutions are not used to train AI models.
Thoroughly tested
Before shipping, we ran the app through dozens of real interview simulations — online assessments, live technical rounds, pair-programming sessions. The tool has been used by hundreds of candidates in real interviews without a single detection incident.
Ready to level the playing field?
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