Tell TalentRadar what you need. It figures out where to look — and first, whether you even need a person at all. Then it finds the match and scores every candidate for you.
The problem isn't a shortage of candidates. It's that finding them requires a degree, a subscription to six different platforms, and a week of configuration before you write a single job description.
We built TalentRadar to be the opposite of that. Tell it what you need. It figures out where to look. It finds the people. It scores them. You decide who to reach out to.
Most tools start with "where are candidates?" We start with "do you need a candidate?" — then find them.
Describe the position and ideal candidate in plain language. Skills, seniority, what matters most. Takes about two minutes.
Before sourcing, TalentRadar analyzes whether this role could be solved — fully or partially — with AI, workflows, or software. If automation makes sense, we tell you and offer a path. If a person is genuinely the right call, we move to matching.
TalentRadar identifies where people with that background live. LinkedIn for executives. GitHub for engineers. Indeed for active job-seekers. You don't configure anything.
Profiles are scored against your criteria, deduplicated, and ranked. You control outreach — we give you the list, you decide who to reach out to and how.
We don't upsell you into the wrong solution. If you need a person, you pay a hiring fee. If AI makes more sense, we sell you AI. Sometimes it's both. That's the model.
Post a role, get ranked candidates. You handle outreach your way. Pay a one-time hiring fee when you make a successful hire — no subscriptions, no seat licenses.
If the AI Assessment Layer says automation makes sense for your role, we offer a path. Full AI solution or workflow automation — no person required, no hiring fee.
Automate the repeatable parts with AI. Fill the human-shaped gaps with the right candidates. We handle both — one engagement, one outcome, maximum leverage.
Most AI companies will tell you everything can be automated. We won't. If you're hiring a VP of Sales or a Head of Design, you probably need a person. TalentRadar's AI Assessment Layer looks at the role, the requirements, and the output — and tells you honestly whether automation is the right call.
This is how we build trust. And trust is how you get repeat business.
"We lost a potential sale once because we told a prospect their customer service role was 80% automatable. They went somewhere else. That was the right call — and we can sleep at night."
We're not here to sell you AI. We're here to solve your problem. Sometimes that means hiring a person.
Candidate profiles and role data are not shared, sold, or used to train models for other customers.
Candidates are ranked by match score — not by which source pays us more.
If you're an SMB without an HR team, this tool was designed for you. No recruiting expertise required.
TalentRadar doesn't limit you to one platform. It reads signals across the open web to build a complete picture of every candidate — not just what's on their LinkedIn headline.
Executive, management, and professional roles. Passive candidates not actively job-searching.
Engineering and technical roles. Real code, real projects, real contribution history.
High-volume and mid-level roles. Active job seekers across all industries and markets.
Design, creative, and visual roles. Portfolio work that resumes can't capture.
Technical and engineering roles. Q&A reputation, answered questions, and community standing.
Open web scraping of personal portfolios, company career pages, and indexed resumes.
Role-first. Industry-agnostic. Proactively intelligent.
What growing businesses say.
"We needed a logistics coordinator in three days. Every tool required building a sourcing strategy first. TalentRadar just did it."
"The AI Assessment Layer surprised me. I went in thinking I needed to hire an SDR team. It told me three of those four roles could be automated. I saved $180k."
"TalentRadar found our VP of Marketing in 48 hours. The candidate wasn't even looking for a job — she was passive on LinkedIn and completely happy where she was. We made the right offer."