Importazione post di lavoro e contesto di colloquio più intelligente

Nobody got into tech because they love retyping job descriptions. You’re prepping for a role at a specific company. You’ve got the JD open in another tab—company name, tech stack, responsibilities, the works. And yet here you are, typing it all into Preplyer one field at a time. Company. Role. Technologies. Again.

We heard you. So we made it so you don’t have to.

When you create or edit an interview configuration, you’ll see an option to paste a job description. Drop in the text from the listing. From an email. From a doc. We run it through our extraction pipeline and pull out company name, role, and technologies—then we prefill the form for you.

You can still tweak everything after. But the boring part—copying stuff over—is gone. More time for actual practice. Less time playing data-entry clerk the night before an interview.

In a real interview, the interviewer actually listens. Your answer to “Tell me about a conflict with a teammate” shapes the next question. Until now, our follow-ups could feel a bit generic—like the AI had amnesia between prompts.

Not anymore. Follow-up questions in your practice session now take into account what you’ve already said. The model uses your previous responses so the next question is relevant, not recycled. It’s closer to the back-and-forth you’ll get on the day. Practice like it’s real.