AI candidate sourcing from 850M+ profiles. Describe the role, Pin finds the people.

Search 850M+ profiles across multiple data providers in plain English. Skills-based matching, ranked shortlists in minutes — no Boolean strings, no copy-pasting between tools.

850M+ profiles Multiple data providers SOC 2 Type 2 10,000+ users
Free tier · No credit card required
What is AI sourcing

Matching on skills, experience, and fit — not keywords.

AI candidate sourcing uses machine learning to search across 850M+ profiles and rank candidates by how well they actually match the role. A "Software Engineer III" at one company and a "Senior Developer" at another read as the same person — something keyword search can't do.

Traditional keyword
Keyword search: title = "ML Engineer"
  • Misses "Applied Scientist" at Anthropic
  • Misses "MTS, Model Serving" at Scale
  • Returns 4,200 noisy matches
Pin AI sourcing
"ships LLM inference systems at B–D startups"
  • Priya Raghavan · 96
  • Marcus Okafor · 92
  • Yuki Tanaka · 89
Signals

Six ways Pin reads a candidate a human would miss.

Boolean search operates on strings. Pin's AI reads careers — the shape of someone's trajectory, the companies they chose, the code they ship.

01
Skills-based matching
Evaluates demonstrated skills and experience patterns — titles vary across companies, skills don't.
02
Multi-source coverage
One query searches LinkedIn, GitHub, Crunchbase, Kaggle, and more — deduped and unified into a single shortlist.
03
Passive talent, activated
The majority of 850M+ profiles are passive. Pin surfaces them, then engages with personalized outreach.
04
Ranked in seconds
Shortlists arrive in minutes, not hours. Each match carries a fit score and AI-written reasoning.
05
Natural-language filters
Layer filters in plain English: "must have shipped at Series B+" or "avoid consultancies".
06
Learns from your team
Every shortlist and thumbs-up sharpens the model. Week two is already better than week one.
The Boolean problem

Stop writing queries that look like SQL.

The average LinkedIn Recruiter Boolean string is 180 characters and still misses the right people. Describe who you want instead.

The old way

Boolean strings

("machine learning engineer" OR "ML engineer" OR "applied scientist")
AND ("LLM" OR "large language model" OR "RAG" OR "retrieval augmented")
AND ("PyTorch" OR "JAX") NOT ("intern" OR "student")
AND (location:"New York" OR location:"NYC" OR remote)
  • Breaks when titles vary across companies
  • Misses synonyms the query didn't anticipate
  • Requires syntax expertise — new recruiters can't ramp
The Pin way
Default

Natural language

"Staff ML engineer who has shipped LLM inference at a Series B–D startup. NYC or open to hybrid. Skip consultancies."
  • Reads intent, not exact strings
  • Surfaces candidates Boolean would silently skip
  • Anyone on the team can run a search
Pin vs. the alternatives

AI Sourcing vs traditional recruiter sourcing tools.

Traditional sourcing is linear — one sourcer, one platform, one query at a time. Pin parallelizes it.

Capability
Pin AI Sourcing
Natural-language + multi-provider
Boolean Search Tools
Sourcer + Boolean strings
LinkedIn Recruiter
Filter UI + InMail
Search method
Natural language
Boolean strings
Boolean + filters
Candidate database
850M+ multi-source
Varies by platform
LinkedIn only
Matching approach
Skills-based hiring AI
Keyword matching
Keyword + title matching
Results ranking
AI-ranked by fit
Alphabetical / date
Relevance score
Time to shortlist
Minutes
Hours
Hours
Niche roles
Finds non-obvious matches
Misses title mismatches
Limited to LinkedIn profiles
Coverage

One query. Every data source worth using.

LinkedIn Recruiter limits you to one platform. Pin searches across multiple data providers simultaneously — then deduplicates and ranks by fit.

850M+
Unique profiles
120+
ATS integrations
Minutes
Median query time
84%
Acceptance rate

of Pin-shortlisted candidates are approved by hiring managers — nearly double the industry average.

850M+ profiles · deduped · ranked by fit

Recruiters who switched to AI sourcing

Read the full story on G2.

CEO & Co-founder at Radar
Nick Patrick

"Pin has supercharged our sourcing."

Nick Patrick

CEO & Co-founder at Radar

Managing Partner at Cruit Group
Ryan Levy

"It finds candidates that don't appear on L*nkedIn Recruiter."

Ryan Levy

Managing Partner at Cruit Group

CEO & Co-founder at Range
Fahad Hassan

"The speed and accuracy were unmatched."

Fahad Hassan

CEO & Co-founder at Range

Security

Candidate data handled like candidate data should be.

Encrypted at rest and in transit. SOC 2 Type 2 audited. Access controls enforced at the client level. The heavy lifting is done so you don't have to think about it.

SOC 2 Type 2
Audited by a third party, annually.
Encryption in transit + at rest
TLS 1.3 and AES-256 everywhere.
Client-level access control
Agencies isolate workspaces per client.
No training on your data
Your searches don't leak into models.
Pricing

Simple pricing. Start free. Cancel anytime.

Solo
$99 / month, billed annually only on annual billing
For individual recruiters getting started.
  • Single seat · solo recruiters
  • Unlimited job positions
  • 500 contact lookup credits
  • AI sourcing & agents included
  • Multi-channel outreach sequences
Business
$249 $299 / month, per user, billed annually
For growing recruiting orgs with custom workflows.
  • Everything in Professional
  • 1,500 credits per seat / month
  • Premium ATS integrations
  • SOC 2 compliance docs
  • Priority support & onboarding
Frequently asked

AI Candidate Sourcing FAQ

Need more information?

Talk to a specialist

How does AI candidate sourcing differ from Boolean search?

Boolean search requires you to construct exact keyword strings and manually combine operators. Pin's AI sourcing lets you describe your ideal candidate in plain English. The skills-based hiring AI interprets intent, evaluates candidates on skills and experience rather than keyword matches, and surfaces candidates that Boolean search misses — especially for niche roles where titles vary across companies.

Why is Pin better than other AI sourcing tools?

Most AI sourcing tools search a single database or require complex Boolean strings. Pin searches 850M+ profiles across dozens of data providers in one query, ranks candidates by actual skills and fit, and feeds results directly into outreach and scheduling. It replaces your sourcing tool, your contact finder, and your outreach platform in one product.

What is skills-based hiring AI?

Skills-based hiring AI evaluates candidates on demonstrated skills and experience patterns rather than job title keywords. A candidate titled 'Software Engineer III' at one company and 'Senior Developer' at another are correctly identified as equivalent — something keyword-based recruiter sourcing tools miss entirely.

Can Pin help source passive candidates?

Yes. The majority of candidates in Pin's 850M+ profile database are passive — they aren't actively job searching. Pin's AI candidate sourcing identifies passive talent based on skills and experience, then automated outreach engages them with personalized messages across email and LinkedIn before they ever hit a job board.

How does AI sourcing work for recruiting agencies?

Agencies use Pin to run AI candidate sourcing across multiple clients simultaneously. Each client gets a separate pipeline with dedicated searches and outreach campaigns. Recruiters report cutting sourcing time by 80% and doubling placements — the AI handles top-of-funnel while you focus on client relationships and closing.

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