Hash finds the person. Not the job title.
Hash learns how your team works, then looks past the CV to people who already fit by skills. Your jobs are probably already on SlashHash. Claim them for free.
Claiming is free. Your vacancies are probably already here.
- Built in Europe
- Skills, not identity
- A person decides
- Built data pipelines for 4 years
- Thrives in small, async teams like yours
- Wants to grow into ML
- No Azure yet, has AWS
- new jobs online, every day
- 10,000
- open jobs, checked every day
- 100k+
- to claim your company and vacancies
- Free
Why Hash
Faster, fairer, and a fraction of the cost.
- Faster.
- When someone on Slash fits your role, you hear it before anyone else. No job ad to write, no forms, no pile of CVs to sift.
- Fairer.
- Less bias, more people seen. Hash matches on what people can do, not on titles or keywords. Name, age, gender and nationality are never an input.
- A fraction of the cost.
- Your vacancies are already here and claiming them is free. No ATS integration, no HR data needed. Enterprise only when you want Hash across all your roles.
Start in three steps
Your jobs are probably already here.
Find your company
SlashHash reads every public vacancy in the Netherlands, the UK and Australia. Your open roles are most likely already listed.
Claim it for free
Take ownership of your company page and your vacancies. No ATS integration needed to start.
See what Hash reads
Hash shows what each vacancy really asks for, and who already fits.
Your vacancies
Hash reads your vacancy the way a candidate does
It shows which requirements actually matter, compares them with what the market asks for, and flags wording that puts good people off.
Vacancy check
Data Engineer · Platform team · Utrecht, hybrid
What the market asks for now
Data Engineer postings, last 90 days
- Python81%in your posting
- SQL75%in your posting
- Cloud (Azure, AWS)48%missing
- CI/CD28%missing
- dbt, Databricks24%rising
Requirements that filter good people out
- "5+ years as Data Engineer"
Asks for the title, not the skill. Analysts who build pipelines never see themselves in it.
- "Rockstar who thrives under pressure"
Wording that puts careful, experienced people off.
Hash suggests
5+ years as Data Engineer
You have built and run data pipelines in production, in Python and SQL, ideally on Azure or AWS.
Employer branding
Show who you are, not just what you need
How your team works, what it values and who it welcomes. That's what candidates see in Slash, and what Hash uses to find people who fit.
Kaap Logistics
Logistics software · Utrecht · 120 people
How the team works
- Small teams of 4 to 6
- Async first
- Hybrid, 2 office days
- 4-day week possible
- No on-call for juniors
We ship small and often, review each other's work and write things down. You will own a piece of the platform from week one.
What we value
- Curiosity over credentials
- Clear writing
- Mentoring each other
Who thrives here
- People who like to build
- Career switchers welcome
- Open to part-time
Open roles
3 open
- 94% fit
Data Engineer
Platform team · Hybrid
- 71% fit
Product Analyst
Planning team · Hybrid
Matching
Sharper with every decision
As you review candidates, Hash fine-tunes the role profile. And when a strong match turns up on Slash, you hear it first.
Matches
Data Engineer · Platform team · 2 strong matches today
Data analyst, builds pipelines
CV says "analyst" · Utrecht · open to hybrid
- Built and ran data pipelines for 4 years
- Thrives in small, async teams like yours
- Wants to grow into ML
- No Azure yet, has AWS
BI developer, moving to engineering
Amersfoort · open to hybrid
- Python and SQL in production, Azure certified
- Less experience with streaming
Role profile updated from your decisions
- Hands-on pipeline work▲ more weight
- Years in the job title▼ less weight
Matched on skills. Name, age, gender and nationality are never used. You decide who to meet.
Privacy
Built in Europe. Your data stays here.
The same rules apply to your company and to every candidate on the other side.
How every AI feature works, and what it never does: AI transparency
- Under the GDPR and the EU AI Act
- Made and run in Europe, under European privacy law. Your data is never sold.
- Start without your HR data
- Your baseline is built from public postings. No HRIS integration, and employee data only on an opt-in basis.
- Skills, not identity
- Name, age, gender and nationality are never an input for a ranking or a score. Matching runs on skills.
- A person makes every decision
- No model on the platform rejects a candidate or screens an application out. Who you hire stays your call.
Plans
Claimed
Free
Claim your company and vacancies, see what each vacancy really asks for, and get notified when a Slash user fits.
Claim your companyEnterprise
Custom
For larger organisations. Set up around your teams, your roles and your systems.
Talk to usClaiming is free. Enterprise is for teams that want Hash across all their roles.
How is AI changing your roles?Measure it role by role with Workforce AI readiness.AI readiness →Teams are more than a job spec.
Stop sifting CVs. Meet the people who already fit.
Claim your company, free