41 Interest Score
12 Discussions
0.29 Engagement
Apr 2025 Launched

ApplyIQ is your personal AI job search assistant. Upload your resume, tell us what you're looking for, and it applies to jobs for you. Welcome to responsible AI: quality over quantity, no bias, and no fake AI-edited resumes. And it’s 100% free!

What the Community Said

Hey Product Hunters! 👋 I’m Doug, CEO and cofounder at Adzuna, and I’m excited to share ApplyIQ with you - our take on the next generation of AI-enabled job search. Job search is painful, we know that -  for jobseekers - and for employers. Many employers are flooded with sometimes irrelevant applications, and that’s why it’s so common for jobseekers to be ghosted. We built ApplyIQ to flip that script. Upload your resume, tell it what you want (role, location and salary) and it hunts down sui

— [REDACTED]

🚀 So excited to finally launch ApplyIQ on Product Hunt! It's been an amazing journey building this, and I couldn't be prouder of what our team has created. Huge thanks to everyone who's given it a spin so far — can’t wait to hear what you all think! 🙌

— [REDACTED]

Super-excited to be a part of this launch - and an honour to be featuring in the explainer video. A big shout out to my fellow makers and the whole team at Adzuna who made this product come to life! We really think this is responsible AI - done the right way to benefit both jobseekers and employers. I'd love to hear what everyone else thinks - plus of course any ideas for product improvements and enhancements are always appreciated.

— [REDACTED]

🚀 Building ApplyIQ was both a fun and challenging journey—and it's finally here! We built it with job seekers in mind, to make applying smarter, faster, and a lot less stressful. 🙌 Hope you give it a try and that it helps you land your next big opportunity. Let us know what you think! 💼✨

— [REDACTED]

Great job getting this live team. Excited to see the results and, of course, get some feedback from the PH community!

— [REDACTED]

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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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