Practice realistic AI mock interviews with role-specific follow-up questions, then get an interview readiness diagnosis on your role fit, answer quality, and preparation gaps before the real interview.
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Maker
📌
Hey Product Hunt,
I built Okareer Interview Lens because most interview prep tools stop too early.
They help candidates practice answers, but real interviews usually go one level deeper. Interviewers ask follow-up questions, look for evidence, and test whether your experience actually fits the role.
Okareer Interview Lens uses your resume and target job description to create a role-specific interview flow with realistic follow-ups. After the session, it gives you an interview readiness diagnosis across role fit, answer quality, evidence gaps, and likely interview risks.
The goal is not to help job seekers memorize perfect answers. The goal is to help them see where their answers may fall short before the real interview — so they can fix weaker examples, prepare stronger evidence, and improve their real chance of getting the offer.
New users can start free with 1 full diagnosis reports.
Would love to hear your feedback.
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How does it handle roles that are pretty niche or hybrid, like a product marketer who also does enablement work? Curious if the follow-up questions stay realistic or just default to a generic PM template.
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Maker
@dugenciogl23408 Great question — this is exactly the kind of use case we care about.
It doesn’t start from a fixed PM template. The interview flow is generated from the candidate’s resume + target JD, so a hybrid product marketer / enablement role should pick up signals like positioning, GTM, sales enablement, stakeholder alignment, messaging, and impact measurement.
The follow-ups are also based on the candidate’s actual answer. So if they mention enablement work, the system may probe things like: how did you know the material changed sales behavior, how did you handle sales feedback, or how did you prioritize enablement needs across teams?
It’s not perfect for every niche role yet, especially if the JD is vague, but the core design is JD-grounded and answer-adaptive — not just a generic PM template.
How does it handle roles that are pretty niche or hybrid, like a product marketer who also does enablement work? Curious if the follow-up questions stay realistic or just default to a generic PM template.
@dugenciogl23408 Great question — this is exactly the kind of use case we care about.
It doesn’t start from a fixed PM template. The interview flow is generated from the candidate’s resume + target JD, so a hybrid product marketer / enablement role should pick up signals like positioning, GTM, sales enablement, stakeholder alignment, messaging, and impact measurement.
The follow-ups are also based on the candidate’s actual answer. So if they mention enablement work, the system may probe things like: how did you know the material changed sales behavior, how did you handle sales feedback, or how did you prioritize enablement needs across teams?
It’s not perfect for every niche role yet, especially if the JD is vague, but the core design is JD-grounded and answer-adaptive — not just a generic PM template.