QSourcer

QSourcer

Find Top Talent with AI and Boolean Search.

50 followers

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QSourcer helps you find matching talent by combining AI and Boolean search queries across all major job platforms in just three simple steps.
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Launch tags:Hiring•Artificial Intelligence•Human Resources
Launch Team / Built With
Anima - OnBrand Vibe Coding
Design-aware AI for modern product teams.
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What do you think? …

Adriaan
ProfileSpider
Hunter
📌
👋 Hi Product Hunt, I'm Adriaan from QSourcer! QSourcer is your game-changer in recruitment, blending AI with Boolean search to find top talent across major job platforms like LinkedIn, GitHub, Stack Overflow, and more. ⚙️ How It Works: - Submit Job Details: Copy and paste your job title and description into our simple form. - Select Keywords: Use AI-generated keyword variations to refine your search. - Find Talent: Execute Boolean searches with a single click. 💡 Why QSourcer? - Efficiency: Save time with automated queries and optimized keywords. - Comprehensive Reach: Access a wider talent pool effortlessly. - Boost Productivity: Focus on engaging candidates, not manual searches. We built QSourcer to address the common pain points in recruitment—finding top talent quickly and accurately without the hassle. Our AI-driven approach ensures you spend less time searching and more time building a great team. 🎉 Try QSourcer for Free! Sign up now and get 25 free job credits on us. Use PRODUCTHUNT at checkout to receive an additional 25% discount on any plan!
Kyrylo Silin
Telebugs
Hey Adriaan, Questions: - How does QSourcer ensure diversity and inclusion in its search results? Are there any features to help mitigate potential biases? - Can users customize the AI-generated keywords beyond just selecting from the provided options? - Do you have plans to expand beyond job boards to other talent sources like professional networks or alumni databases? Congrats on the launch!
Adriaan
ProfileSpider
Hunter
@kyrylosilin Thanks for your questions and feedback. Those are very good points! How does QSourcer ensure diversity and inclusion in its search results? Are there any features to help mitigate potential biases? This is a very valid point, and I recently found an article explaining how to be "maximally inclusive" when using AI and Boolean to search for talent. We have covered most of the points already because our AI generates synonyms and alternative keyword spellings. Also, we don't select based on experience or background; we mostly use skill-based terms. I will keep looking at how we can improve the AI to be maximal inclusive! Read the article here: https://www.linkedin.com/busines... Can users customize the AI-generated keywords beyond just selecting from the provided options? That is very high on the to-do list. ;) I also think sharing your queries with others is a useful feature. Do you have plans to expand beyond job boards to other talent sources like professional networks or alumni databases? Yes! We currently use X-ray for GitHub and other websites. I am thinking of making these X-ray searches more flexible by using a domain of your own choosing. You can point it to any website or network, and it will execute the Boolean in that context. I have to think of how I can best do this.
blank
Hey Adriaan! This sounds super cool! Love how QSourcer simplifies the whole recruitment process—and AI plus Boolean search? Genius combo! 🙌 The steps look easy to follow too, which is a huge plus for busy teams. Can’t wait to give it a spin, especially with that free trial! Keep up the great work!
Adriaan
ProfileSpider
Hunter
@blankwebdev Wow, thank you for the positive feedback. Happy you like it! It is indeed super easy and the AI creates relevant synonyms and alternative spelling. So, you never have to type BackEnd, Back-end or Back End ever again ;)
Toshit Garg
Congrats on launch of QSourcer....