Why I built Calibrd

The job market has never been this competitive. Most people are still preparing the wrong way.

I run hiring for my own teams, so I'm often the hiring manager on the receiving end. A few months ago I opened a single Engineering Manager (EM) role. Within days we had hundreds of applications, strong candidates from both the local and international markets. Some were over-qualified, ex-directors going for one team-level role, and they reached out to me and my manager on LinkedIn and through their networks to ask for a shot. My recruiter and I were underwater. At most, 20% of applicants ever reached my desk. The rest were filtered out before I ever saw them, and I had to decline most of the ones who did, just to keep a shortlist.

What I kept seeing

So many of them were preparing the wrong way. For that role, most candidates were failing the early stages, the hiring-manager and technical rounds, on things that had little to do with whether they could actually do the work. I wrote up the most common reasons on Reddit, and it clearly struck a nerve: over 220,000 views and 250 upvotes.

Most people aren't short on skill. They're short on time, or spending that time on the wrong preparation.I've interviewed hundreds of Engineering Managers in my career. Here are the most common reasons they fail the interview →

Job hunting is exhausting. Preparing for every role with the same effort isn't realistic when you're running a dozen processes at once. I've been on that side too. I tend to over-prepare, and looking back, most of that effort went into things that didn't matter.

The usual tools don't really close the gap

A lot of people reach for ChatGPT or Gemini. They help, but only after an hour of pasting the job description, prompting, and stitching together answers that fit your situation. And when the model is busy, you end up fighting it for a decent response. That doesn't scale when you have ten applications going at once.

Hiring is a black box, and I know how that feels

People say hiring is a black box because from the outside you can't see what's really going on. I agree. I also know the other side of it: the rejection from a job you wanted badly, one that looked like a clean fit on paper. How many times do you have to retune your CV for the right keywords and then just hope? How often do you only get good at interviewing after bombing the first two, by which point you've already burned real chances? I can't promise that never happens again. But I can help, both to get you the interview and to get you ready to perform in it.

So I built a coach that scales

I've interviewed hundreds of candidates a year for the last decade. I've seen the wins and the near-misses, and I know what actually moves a decision. I wanted to put that within reach of everyone, not just the people who happen to know someone on the inside. That's why I built Calibrd: an AI interview coach, available whenever you need it.

Your coach works the way I would. It gives you honest feedback when there's a real gap between your experience and the role you're aiming at, and when your answer in a mock interview isn't yet ticking the boxes. It also tells you when you're ready, when it's time to stop polishing your CV and put your energy where it'll actually change the outcome.

Xiaochen Guo

Founder of Calibrd

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