👋 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!
I’ve been using this tool for a bit, and while it’s a strong start, I think there’s room for improvement.
Just checked out this tool and it’s impressive! The AI-driven Boolean search and language detection simplify the complex process of talent sourcing.
I’m so excited to see this tool launch! 🎉 As someone who’s often lost in Boolean queries, this is a lifesaver.
Congratulations on the launch! Love the idea behind the product. Can users customise the AI keywords beyond the ones that are already there? What are the ways this could be customised?
I think combining AI with Boolean search is a smart way to find talent. Adding analytics like candidate response rates or engagement metrics would help users improve their search strategies.
I like the simplicity of the three-step process for finding candidates. To enhance the tool’s effectiveness, it might be useful to include features for filtering candidates based on specific skills or experience levels.
I’m impressed with the idea of using AI and Boolean search for finding talent. It would be great if there were options to save and manage search criteria for future use.
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!
Loving the idea behind this! Using AI with Boolean search to find talent quickly is a smart move. How does it handle different job platforms—can it search niche or industry-specific sites too?
The simplicity of finding talent with just three steps is impressive. If it combines AI and Boolean search effectively, it could save so much time.
The concept is intriguing, but I’m curious about the accuracy of the AI in finding the right talent. How well does it handle varied job descriptions and different platforms?
AI-powered keyword generation and multi-platform search are fantastic features. Keep up the amazing work!
Ability to generate Boolean search queries with AI is impressive and can save a lot of time. Great job!
iam interested to present this service to our companies friend, pls contact me by linkedin
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!
Congrats on the launch! This is such a proud moment, and I’m excited to see your success. I’ll use it and recommend it widely! 🌟 @builderman
About QSourcer on Product Hunt
“Find top talent with AI and boolean search”
QSourcer launched on Product Hunt on July 31st, 2024 and earned 107 upvotes and 7 comments, placing #33 on the daily leaderboard. QSourcer helps you find talent by combining AI and Boolean search on all major job platforms in just three simple steps.
QSourcer was featured in Hiring (15.3k followers), Artificial Intelligence (466.3k followers) and Human Resources (1.9k followers) on Product Hunt. Together, these topics include over 96.9k products, making this a competitive space to launch in.
Who hunted QSourcer?
QSourcer was hunted by Adriaan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how QSourcer stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Adriaan