Now in beta

The hiring platform
built on trust

We help jobseekers get noticed, referrers make meaningful connections, and employers hire with confidence. With Preferrd, your network is now your net worth.

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app.preferrd.io / roles / senior-ios-engineer
Roles Senior iOS Engineer
Senior iOS Engineer
Lattice · Remote (EU) · 4 peers referring
12 matches
RK
Ravi Kumar
Top match
iOS Engineer @ Kairos
↳ referred by Maya Halden
Fit
94
SA
Sana Ahmadi
Staff iOS @ stealth
↳ referred by Theo Okafor
Fit
88
JV
Jonas Vogel
Sr iOS @ Halcyon
↳ referred by Priya Natarajan
Fit
82
Analysing 8 more job-seekers with fresh referrals…
0%
Lower cost-per-hire vs traditional recruiting. Fewer noisy applications, faster decisions.
0×
More interviews when applications arrive with a trusted peer referral attached.
0d
Average time-to-offer on Preferrd. Down from 42 days using traditional channels.
How it works

From introduction
to interview, in days

Step 01

Build your profile or post a role

Jobseekers create their profile to showcase skillsets, Referrers sign up to refer talent from their network, and Employers post roles to tap into trusted referrals.

Step 02

Get referred by your peers

Opportunities move through people. Share the referral link with someone you think is perfect and potentially interested in the role? If they apply through your link, you'll be recognised as the one who referred them.

Step 03

AI ranks the signal

Preferrd assesses skills, experience and referral credibility to surface the strongest matches first.

Step 04

Meet. Hire. Reward.

Jobseekers are discovered more quickly by employers, while referrers earn rewards for each successful connection.

Inside the product

Hire with real candidate insight

Every candidate profile shows the full picture; who referred them, the AI fit-score, and what they actually worked on.

AI fit-score from a tailored rubric
Each job post is translated into a tailored scoring Role Alignment Score, so employers can assess candidates against a consistent, role-specific standard.
See the reasoning behind every score
Every fit score includes the rubric, the evidence, and the weighting, so you can clearly see why each applicant ranked where they did.
Pipeline tracking, both sides see it
Applicants stay informed at every stage, and employers keep every process on track.
RK
Ravi Kumar
Top match
Senior iOS · London · 8 yrs
AI fit
94
Skills
92
Referral
98
Domain
89
Peer referrals · 3
MA
Maya Halden
✓ verified
Design Director, Orbital
Worked with Ravi for 3 years at Orbital. Shipped iOS 17 rewrite. He thinks in systems — hire him before someone else does.
PN
Priya Natarajan
✓ verified
Head of Eng, Lattice
Ravi interviewed at Lattice last year — close call, came down to team fit. Would absolutely work with him again.
Pricing

Turn trusted connections into real opportunities

Job seekers
Free
Forever. No card. No plan.
  • Unlimited applications
  • Selective referral requests
  • Direct messaging with hiring teams
  • Roles matched to your expertise
Find Your Next Role
Most popular
Employers
HKD49,000
per placement
Success-only. No retainer. No per-seat.
  • Unlimited roles & applicants
  • AI fit-scoring + peer referral graph
Hire Top Talent
Referrers
Paid to you
Average HK$24,500 per placement.
  • Refer anyone, any role
  • Tiered payouts based on reputation
  • Anonymous mode available
  • Quarterly bonus pool for top 10%
Refer Someone
FAQ

Good questions, straight answers

How is Preferrd different from LinkedIn or a recruiter?

LinkedIn relies on algorithmic discovery and cold outreach. Recruiters charge big retainers and rarely know the applicants personally. Preferrd only surfaces applicants who have been actively referred by a peer — with context, specificity, and a reputation on the line.

Who can become a referrer?

Anyone with domain credibility. We verify track record through platform usage: your referral reputation score increases with each successful placement, each endorsement, and each peer referral given to you.

How are referrer payouts structured?

You earn a percentage of the placement fee when someone you referred gets hired and stays past the 90-day mark. Our average payout is HK$24,500 per placement. Payouts scale with your reputation tier.

Do you replace our ATS?

No — Preferrd sits on top. We sync applicants, stages, and notes with Greenhouse, Ashby, Lever, and Workday so your team keeps their existing workflow.

What makes the AI scoring trustworthy?

Our scoring is weighted by referrer credibility, not just keyword match. Referrals from peers with strong track records count more. Every score comes with an explanation you can audit.

It pays to be connected

Join the Preferrd community of jobseekers, referrers and employers already turning trust into traction.

No credit card. Free for job seekers.