Nova Recruiter is the world's most advanced agentic platform to find, contact and recruit top talent. Built for recruiters, by recruiters, it allows you to search and contact candidates from +800 million public profiles worldwide. Compared to traditional platforms, it offers better filters (based on merit, not just keywords), higher reply rates (2-3x more thanks to multi-channel campaigns), AI agents to automate the sourcing workflow E2E (+95% of time saved), and usage-based pricing.
Hey everyone! As the CTO here at Nova Recruiter, I obviously love the tech under the hood, but the real validation has been using it to build my own team.
I've been using the platform to source candidates for our own open positions, and the ability to find, contact, and engage talent directly (without needing to rely on a dedicated HR department) has saved me an immense amount of time. The E2E automation actually works exactly how a hiring manager needs it to.
We built this to empower anyone to recruit top talent efficiently, and I'm living proof of that! Excited to hear your feedback and happy to answer any technical questions.
Nova Recruiter
@williams_aguilera thanks Will!
Nova Recruiter
@williams_aguilera Shout out to you and the team for building such a great product
I was part of the early adopter program, and I loved how smooth it was to start finding relevant talent. Both the scores and targeting were great. I described it to a recruiter friend: the nicest part is that it works.
Nova Recruiter
@karl_kwarnmark89 thanks for the the feedback!
Nova Recruiter
@karl_kwarnmark89 thanks for the feedback.
Triforce Todos
Congrats on the launch 🎉
Nova sounds incredibly powerful. I'm curious about the "merit-based" filters, can you share a specific example of how the AI evaluates a candidate's track record or achievements compared to a standard keyword search?
Nova Recruiter
@abod_rehman The best way to explain it is through a real-world scenario. Let’s look at two hypothetical candidates applying for a Senior Growth Lead role:
The "Keyword Match" Candidate
Linkedin/CV profile mentions: Lists "Growth Hacking," "SEO," "Facebook Ads," and "A/B Testing" twenty times.
Standard solutions: Sees a 100% keyword density match and ranks them at the top.
The reality: They were one of 50 marketers at a massive, slow-moving corporation where growth was flat.
The "Nova Merit" Candidate
Resume: Mentions "scaling a seed-stage startup to Series B" and "reducing CAC by 60% while increasing LTV." They might not use the exact phrase "Growth Hacking."
Standard tools: Might miss them because they used the "wrong" synonyms or didn't keyword-stuff.
How Nova’s Proprietary Taxonomies Evaluate Them:
To find the "Merit" candidate, Nova applies a logic built over 6 years of mapping the top 3% of global talent:
Employer selectivity: Nova recognizes the seed-stage startup as a "High-Pedigree" Tier 1 firm because of its venture backing and elite hiring bar. It knows that "Growth" at this company is 10x harder than at a legacy corporation.
Academic Rigor: It looks at their degree, say, Mathematics from a top-tier technical university, and assigns a higher score than a generic marketing degree, identifying the candidate's analytical "floor."
Career Velocity: Nova calculates the "Delta." This candidate went from Intern to Head of Growth in 3 years. That steep trajectory is a massive merit signal that a keyword search completely ignores.
Impact Mapping: Our AI parses the language of achievement. It identifies "Reduced CAC by 60%" as a high-value achievement signal and weights it more heavily than a list of responsibilities like "Managed Facebook Ads."
The Result: Nova surfaces the high-velocity startup lead (the true top 3% talent) at the top of your search results, even if their resume isn't "optimized" for an old-school search engine.
We essentially treat a resume like a financial statement of talent, we’re looking for the ROI and growth rate, not just the labels!
Does that give you a better feel for how the "Talent Score" works in practice?
Nova Recruiter
@abod_rehman @andrea_marino1 Love this framing from Andrea. The "resume as financial statement" analogy is exactly how we think about it internally. Keyword search rewards people who optimize their profile; merit scoring rewards people who optimize their impact. Very different populations more often than not
Looks very cool! I’ve sent the link to our recruiter.
What about compliance with the EU AI Act? Have you optimized for it?
From the product team, we've been laser-focused on delivering a truly differentiated experience through the speed of the process and the quality of the candidates (and I genuinely believe we've pulled it off 😎). Hope you love it!
Nova Recruiter
@joseserrano the results are speaking! Congrats on the amazing work, the UX/Ui and design are world-class. Grande Jose!
Nova Recruiter
@joseserrano fantastic design you made!
Congratulations
Nova Recruiter
@madalina_barbu Thanks Madalina for your support!
Nova Recruiter
@madalina_barbu thank you!