We find the senior engineers your job post can't.

40 ranked engineers. Call the top 5. Keep the rest as backup.

Every name comes with a reason.

Delivered in
5-7 days
Fixed fee
From $4,500
Commission
None
Interviews
Run by your team

Where our CTO built products

12+ years in devtools product and go-to-market. Past teams, not clients.

Job posts wait. We go looking.

The engineer you need is probably not applying.

Job posts

You see who applies. Not always who fits.

AI sourcing tools

Tools like hireEZ, SeekOut and Pin give you search. Your team still runs it.

Ranked.I runs the search

84%agreement with the client's engineers on one live Java/Kotlin search

We search the market. We check every profile against your bar. We rank them. A person checks the list before you see it.

Measured. Then published.

We check our ranking against the client's own engineers. Then we show you the number.

Java and Kotlin backend search 84% Same call as the client's engineers on live data. 89% on a held-out sample.
Credit-risk data science search 72% Live data. 84% held-out. Cohen's kappa 0.80, corrected for chance.

In plain terms: on most candidates, we made the same call as their engineers. It measures agreement, not hires.

Two searches. Your role may differ. How we measure it.

Two real searches.

Real numbers. Client names withheld.

Case 01

Consumer fintech, Russian-speaking engineering team, operations in Southeast Asia

2 remote roles (Java/Kotlin and Data Science) needing 6h overlap with Manila time, Russian proficiency and B2 English.

Backend Engineer, Java and Kotlin

Profiles gathered
1,294
Unique people
871
Cleared every hard requirement
110
Ranked and delivered
40

Highlights: 11 cleared outright, 29 flagged with a single item to verify on the call. GEOs: Kazakhstan, Georgia, the UAE, Serbia and Germany.

Agreement: 84% with client scoring on live data (89% on unseen profiles).

Data Scientist, credit risk

Profiles gathered
1,191
Unique people
812
Cleared every hard requirement
53
Ranked and delivered
40

Highlights: Filtered out 138 lacking a credit-risk background and 128 overqualified. GEOs: Kazakhstan, Uzbekistan, Georgia, Cyprus and the Philippines.

Agreement: 72% on live data (84% on test data), Cohen's kappa 0.80.

How the calibration worked

The client labeled 71 candidates one by one. Each verdict updated the ranking rules for that team, so rejected candidates don't resurface in its later searches.

Case 02

AI speech and language company, Athens and remote EU

3 technical openings for one in-house team (from IC to team lead), each filtered by different constraints.

ML Team Lead, speech recognition and large language models

Profiles gathered
1,505
Unique people
853
Cleared every hard requirement
61
Ranked and delivered
40

Highlights: €130k-€200k salary band with remote option (location ranked, not gated). Inference optimization broke the ties. GEOs: France, Germany, the Netherlands, Spain and Greece.

Senior ML Engineer, Polish-language model work

Profiles gathered
422
Unique people
416
Cleared every hard requirement
74
Ranked and delivered
40

Highlights: Pinned the board strictly to Poland (Warsaw, Krakow, Wroclaw, Torun). Narrow market shifted focus to ranking depth of LLM work rather than breadth.

Senior DevOps and Infrastructure Engineer, hybrid in Athens

Profiles gathered
299
Unique people
291
Cleared every hard requirement
137
Delivered as a full market map
All 137

Highlights: The on-site requirement changed the job. Instead of a top 40, we delivered the entire reachable Greek market (Athens and Thessaloniki) so the team could see the talent ceiling before setting salaries.

Case 1 of 2: use the arrows to see the next case study

Read both cases in detail

Three steps.

You skip the search. You start with the calls.

  1. 1

    You send the role.

    And your must-haves.

  2. 2

    We search from scratch.

    For your role only. Every profile is checked against your must-haves. Miss one and it's out.

  3. 3

    You call the top 5.

    40 names in all. If the first calls don't work out, the next names are ready.

This is what you get.

One list, built for one role. Who. Why. What to check. Rows below are illustrative; the real list has names, links and contacts. Interest and availability are confirmed on your first call.

RankCandidateFitWhy hereChecks
01Senior Backend EngineerKotlin, 6 yrs · Limassol9.6Owns a payments service in production. Kotlin since 2020. Led a JVM migration.ENRURelocation
02Backend EngineerJava, Kotlin, 5 yrs · Belgrade9.1Core banking domain. Two years on a ledger team. Recent commits in Kotlin.ENRUVerify: ownership
03Staff EngineerJava, 9 yrs · Remote EU8.4Strong on scale, light on Kotlin. Last Kotlin work was 2022.ENVerify: Kotlin recency
04Backend EngineerKotlin, 4 yrs · Tbilisi7.9Outsourcing background on three of four roles. Product ownership unclear.ENRUVerify: outsourcing
… through #40. Start with the top 5. The rest is your backup.

Looks great on paper. Read it twice.

An illustrative profile, not a real person. The three checks we run on every one.

Senior Backend Engineer, 8+ years Kotlin, Java, Spring · Remote EU
  1. Backend Engineer, outsourcing companyMay 2024 - now

    Led the payments platform for a fintech client. Java, Spring Boot, Kafka.

  2. Java Developer, outsourcing companyMar 2023 - Apr 2024

    Microservices for an e-commerce client.

  3. Software Developerno dates

    No description.

Keyword screen

Strong match

Advance to interview.

Ranked.I checks

  1. Tenure. The headline says 8+ years. The dated jobs show about 3.5.
  2. Kotlin. Only in the skills line. No job mentions it. Not a pass.
  3. Ownership. "Led the payments platform" at an outsourcing firm. Whose platform? Ask on the call.

On the board: Verify: tenure Verify: Kotlin Verify: ownership

Miss a must-have and it's out. Everything else comes with what to check, named. That's why the top 5 are worth a call. How to check any shortlist.

However you hire today.

You hire in-house. Your recruiters keep the process. We do the search they don't have time for.

You use recruiters. They commonly charge 15-25% of first-year salary: $22,500-$37,500 on a $150,000 engineer, and they help run the hire. Our fee is fixed. Your team runs the interviews. Full comparison.

Want to see it first? Test us on one role for $499. Credited in full if you continue.

Not more resumes. The right names, and the reason for each.

Pricing

From $4,500

New role shortlist

  • Backend, DevOps, DS$4,500
  • ML/LLM, ML Lead$6,000

Delivered in 5-7 days.

$1,500 - $2,000

Repeat role

For re-opening a role we've already scoped (24-48 hours).

$7,000 - $9,000

Shortlist + evidence tier

Adds GitHub code scans, technical task recordings and written candidate scoring rubrics.

$3,000 / mo

Monthly retainer

For teams with continuous engineering hiring needs (up to 2 repeat roles per month).

Two founders. No hand-offs.

You talk to the people doing the work. No account managers. No support queue.

Julia Lutaya

Julia Lutaya, Founder & CEO

Your contact from the first call to delivery.

Preview LinkedIn
Daria Dovzhikova

Daria Dovzhikova, Founder & CTO

Runs the search. Checks every list before you see it.

Preview LinkedIn

FAQ

Are you a recruiting agency?

No. No commission. No one in the middle. You get the list and contact people directly. Interviews and offers stay with you.

We have in-house recruiters. Where do you fit?

The list goes to them. They keep the process. We do the search.

Do I have to read all 40 profiles?

No. Call the top 5. The rest is your backup, so you don't start over if the first calls don't work out.

How is this different from an AI sourcing tool I already pay for?

A tool gives your team search. We do the search, and a person checks the list.

Do you work outside tech roles?

No. Engineering, data and ML only. That's where we've tested it.

Guides.

Options, prices and trade-offs for hiring engineers.

Which role are you hiring for?

Send it. We reply within one business day.

Is the hiring budget already approved? (optional)