Ryger was built primarily from observation and lived experience.
Every day I read posts on LinkedIn talking about how the best candidates live in the passive market. At the same time, I see recruiters hesitant to post jobs because of the flood of resumes and automated applications that follow. I also see mass layoffs and highly qualified people openly struggling to get interviews.
That contradiction stuck with me.
I built Ryger because I wanted to help recruiters connect with the right people faster and help qualified candidates actually get seen.
My belief is that recruiters already have the foundation of strong networks. The problem is organizing those networks, preserving candidate signal, and quickly surfacing the people who fit a role when the role opens.
That became the core idea behind Ryger.
If we could make it easy for recruiters to build private talent networks that maintain full candidate signal and continuously match people against roles over time, then recruiting workflows could start with reviewing the people already connected to the recruiter ecosystem who actually fit the role and are actively looking.
Building The Network
One of the biggest priorities was making the network easy to build.
There are a couple ways recruiters can grow it.
The first is bulk uploading resumes they already have. We wanted onboarding to feel lightweight, not like a migration project, so uploading roughly 20 resumes takes about 30 seconds.
The second is passively growing the network over time.
The current market makes getting applicants relatively easy, so we wanted to give recruiters a way to continuously grow their network without rebuilding workflows every time a new role opens.
That led us to building customizable recruiter landing pages and mini job boards where candidates can directly join the recruiter’s network.
Setup is intentionally simple:
- customize the wording
- choose light or dark mode
- select which roles to display
That’s it.
At the same time, network integrity was extremely important to us.
We knew automated application agents and mass-apply workflows were becoming more common, so we took steps to minimize that behavior. The goal was maintaining a network made up of high-intent humans who intentionally joined the recruiter ecosystem.
Preserving Signal
Another major focus was preserving candidate signal.
I read somewhere that roughly 75% of resumes are not parsed correctly. Whether or not the exact number is right, the problem itself is very real.
Lost parsing signal means qualified people become harder to see.
With mass outbound outreach, maybe some signal loss becomes acceptable because enough results still surface eventually. But these are real people, and preserving their experience accurately matters.
When building Ryger, we intentionally sought out messy resumes:
- multi-column layouts
- image-heavy PDFs
- heavily formatted resumes
- project-centric structures
- unconventional resume formats
We tested and iterated repeatedly until we could reliably extract and structure the underlying experience signal from real-world resumes.
That gave us confidence that strong candidates would not disappear simply because their resume formatting was unconventional.
Explaining Why Someone Matches
One thing that never felt helpful to me was dropping a random score beside a candidate profile and expecting recruiters to trust it.
Recruiting is nuanced. AI can’t replicate recruiter judgment or experience.
We wanted recruiters to quickly understand why someone matched a role and where recruiter judgment was still needed.
Instead of hiding decisions behind a black box, Ryger breaks requirements down individually and identifies them as:
- met
- missed
- review
The review category is especially important.
Those are the situations where someone may have adjacent experience, transferable skills, or supporting evidence that deserves recruiter attention without the system pretending it can fully make the hiring decision itself.
The goal was never replacing recruiter judgment.
The goal was helping recruiters reduce sorting friction, preserve candidate signal, quickly surface warm leads and give recruiters more time to evaluate the right people instead of digging through noise.
Testing On Real Recruiting Data
There are a lot of new recruiting products hitting the market right now. Feels like I see a new one every day.
Probably inevitable when a lot of talented product people and engineers suddenly find themselves on the market too.
Honestly, I think that’s a good thing. Innovation and competition usually lead to better tools.
One thing we wanted to ensure with Ryger was that recruiters could quickly see how the system works using their actual workflow and real recruiting data, not curated demo environments.
We do not require a credit card to test the free tier.
A recruiter can sign up, upload a batch of resumes, add a role they are actively filling, and see how Ryger fits into their workflow in about five minutes.
And honestly, the system gets better as the network grows.
If you have questions, feedback, or want a walkthrough of the system, feel free to reach out to me directly.