10 Interest Score
8 Discussions
0.80 Engagement
Mar 2026 Launched
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Spending 10hrs/week doom-scrolling job boards? No cap, that's cooked. 😭 PrepVerse's AI agent literally does the job hunting FOR you — upload your resume, set your vibe (role, location, salary), and wake up to a daily feed of jobs that actually match your profile. No fluff, no irrelevant listings, just your roles. ✅ 50+ platforms scanned daily ✅ 94% resume match accuracy ✅ Live match scores on every card ✅ Morning digest dropped straight to your inbox Stop the grind. Let the AI cook. 🔥

What the Community Said

Hey Product Hunt! 👋 We built this for every college student who's spent a Sunday night tabbing through 6 job portals, copy-pasting the same resume, and still feeling like they missed the best roles. Prepverse's Job Search agent does the hunting for you — upload your resume once, set your preferences, and wake up to a personalized feed of fresher roles and internships ranked by how well they match your profile. We're especially curious — which job platforms do you wish were better aggregated? Dro

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Congrats on launching. The job search was a struggle for me, and is only getting harder for people right now. The adaptive questions that adjust based on your answers is such a smart touch. Generic interview prep never actually mirrors how a real conversation will go. Does the AI tailor questions specifically to the role and industry you're applying for, or is it more organized?

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From the hiring side in Europe — LinkedIn is a given, but a lot of strong candidates sit on local boards that major aggregators tend to ignore. Any plans to expand beyond English-speaking markets?

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The job search agent part is what got me! I know so many people (including myself) who spend entire weekends just scrolling LinkedIn and somehow still miss the best roles. 50+ platforms scanned daily with a match score is way better than doing it manually. How does it handle roles that don't have a clear title? Like if someone is looking for a hybrid marketing/product role, does it pick up on those cross-functional listings or does it mainly match on job title keywords?

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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