Search every source in natural language.
Your ATS holds last quarter's applicants and your team's network holds warm connections, both invisible to LinkedIn search.
Join the launch listDescribe the candidate
Senior backend engineer in Vienna, fluent in German, shipped consumer apps…
Anna Müller
Senior Backend Engineer · Vienna
Marko Petrović
Backend Lead · Zagreb
Klara Vogel
Senior SWE · Berlin
Dušan Pavlović
Lead Engineer · Belgrade
500M+
global profiles
7
source layers
0–100
AI fit score
🟢🟡🔴
evidence per criterion
Where one-source sourcing fails.
LinkedIn shows one slice of the market
Search only LinkedIn and you miss the passive candidates who never log in, plus everyone who locked their profile to recruiters.
Every source has its own search box
Your ATS, LinkedIn, and a global database each search separately. Running one role across all of them by hand eats the morning.
$10K+ a seat for one source
LinkedIn Recruiter Corporate runs $10.8K–$12.96K per seat per year per Vendr/Spendflo benchmarks. Premium pricing, single-source coverage.
Boolean strings flatten intent
"Senior backend engineer with consumer-app experience based in Vienna, fluent in German" doesn't compress into Boolean syntax.
Find candidates LinkedIn doesn't show you.
Describe the candidate you want in plain English. MartyHR generates filters and evaluation criteria automatically, then runs one query across seven source layers concurrently:
- Your team's 1st-degree LinkedIn network across every connected account
- Your ATS (TalentLyft and BambooHR at launch) — past applicants and existing pipeline
- ATS open applications — candidates mid-application on other roles
- LinkedIn search (Sales Navigator-style)
- HRIS imports (BambooHR at launch)
- CSV imports for one-off lists
- A 500-million-profile global database, built on People Data Labs
One natural-language query. Every source you have, plus the global one you don't.
Score every candidate on every criterion you set.
Each query runs through a three-pass ranking pipeline. Pass one: each source returns a candidate set capped at 5,000 to keep search runtime predictable. Pass two: a vector ranking pass compares your query vector to each candidate's profile vector, narrowing to the top 100 across all sources. Pass three: a per-criterion AI evaluation produces 🟢 Found Evidence (1.0), 🟡 Potential (0.5), or 🔴 No Evidence (0.0) on every criterion you set, plus a final 0–100 fit score. Read the cited evidence per criterion before deciding.
Anna Müller
Senior Backend Engineer · Vienna
How MartyHR compares on reach, sourcing, and billing.
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| Feature | MartyHRpre-launch | LinkedIn Recruiter | hireEZ | SeekOut | Juicebox |
|---|---|---|---|---|---|
| Outreach channels | 6 — email, LinkedIn, SMS, WhatsApp, Telegram, voice | InMail + email | email, SMS, InMail | email only | email only |
| Searches your team's 1st-degree network | across all connected accounts | LinkedIn's own graph | Not documented | Not documented | Manual CSV upload |
| Transparent per-criterion fit scoring | evidence + 0–100 score | — | — | — | Narrative summary |
| ATS rediscovery | Included | ✓ (Recruiter System Connect) | ✓ | ✓ | ✓ (Ashby first) |
| Billing model | Per connected account | Per seat, annual | Per seat, annual | Per seat, 3-seat min | Per seat + credits |
Compiled from each vendor's own product and pricing pages, June 2026; capabilities and pricing change, so verify current details with each provider. ATS rediscovery is now common across sourcing tools — MartyHR's difference is unifying it with your team's network and a 500M-profile database in one scored query.
Frequently asked questions
What follows search.
Search the next role on MartyHR.
MartyHR opens to design partners on the launch list. Get a 30-minute project setup call with the founding team, design-partner pricing, and direct line on the roadmap.
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