Product · AI hiring loops
Active
LLMInterview.com
- The problem
- Someone can be fully qualified for an AI or LLM engineering role and still have no idea what the interview loop will actually test.
- The approach
- Read the actual job description and recruiter notes, then map the likely rounds, what each one tests, how exposed the candidate is, and what to prepare first.
- Where it stands
- Live and in the open. A founder-built experiment of mine, separate from my day job.
LLMInterview.com is something I built myself, outside my day job. It exists because prioritization, not preparation material, is the thing candidates are missing.
What it does
You give it the job description and whatever the recruiter actually told you. It returns a map: the rounds you are likely to face, what each one is testing, where you are most exposed, and what to prepare first.
The rule it runs on
Predictions, not promises. Anything the recruiter confirmed is labelled as confirmed. Anything inferred from the posting is labelled as inference. When there is not enough signal, it says unknown instead of guessing, because a confident wrong answer costs a candidate more than an honest gap.
Where it stands
Live, and still being sharpened against real loops.