Technical sourcing agency: a ranked shortlist built by senior human judgment, not just AI-matched.

Ranked.I delivers a shortlist of 40 engineering candidates in 5-7 days for a fixed fee from $4,500.

A predictable alternative to traditional recruiting commissions. No subscriptions, no black-box platforms, and zero software to configure - just a ready-to-interview shortlist saving your team 100+ hours.

New role shortlist: 40 contactable profiles
Brand-new role: 5-7 days
New role pricing: From $4,500
Re-opening a role we've already scoped: 24-48 hours

Where our hiring bar comes from

Huawei Lightrun Odigos Bitcoin.com Veeam Carol JetBrains

12+ years in devtools product and GTM inside these teams. None were sourcing clients.

Not an AI sourcing tool. Not an expert network. Something narrower.

There are two common ways to solve this problem today, and Ranked.I is neither:

Self-serve AI sourcing platforms

Tools such as hireEZ, SeekOut and Pin offer AI search, evaluation and outreach features. Your team configures the workflow and remains responsible for hiring decisions.

Expert-network shortlist services

Route your role to a network of outside experts who recommend candidates from their own contacts. You get warm introductions, but no measurable accuracy standard.

Ranked.I does one specific thing

84%agreement rate with internal engineering evaluations, on live data

We rank the "I" - the individual engineer behind the code. No black-box platforms. Just senior evaluation backed by data.

The numbers, not the hype

We don't guess. We measure our results against how your own engineering leaders evaluate talent and show the math.

Java Engineering Search 84% 84% raw agreement with the client's internal evaluation on live data (and 89% on a held-out test sample).

Data Science Search 72% 72% raw agreement (84% on held-out data), achieving strong inter-rater reliability against independent hiring labels.

In plain terms: Our ranking agrees with an experienced hiring manager just as well as two senior engineers agree with each other.

We're happy to walk you through how we do it. No other sourcing service publishes numbers like this.

Two real searches, start to finish.

Client names withheld. Every number below is the exact delivered record: raw volume, what cleared the bar, and what you received.

Case 01

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

2 remote roles (Java/Kotlin & Data Science) needing 6h overlap with Manila time, Russian proficiency + 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 verification item for the call. GEOs: Kazakhstan, Georgia, the UAE, Serbia and Germany.

Accuracy: 84% agreement with client scoring (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 credit-risk background & 128 overqualified. GEOs: Kazakhstan, Uzbekistan, Georgia, Cyprus and the Philippines.

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

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: On-site requirement changed the job. Instead of a top-40, we delivered the entire reachable Greek market (Athens & 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

How it works

We'd rather tell you 5-7 days and beat it than promise 48 hours and miss it.

1
You send the role and must-have criteria.
2
We calibrate ranking criteria against your actual bar, not a generic template.
3
You get a ranked shortlist.
We filter thousands of profiles and run all code checks - saving your HR team 100+ hours of noise.

What a shortlist looks like

Illustrative sample rows. A real delivered board includes 40 named, contactable profiles with live links, language/relocation checks, and warning flags wherever the public record is thin.

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, every row named and contactable

What you're actually comparing this to

A single bad senior hire costs far more than our fee in wasted salary and lost momentum.

Compared to a traditional agency fee (commonly 15-25% of first-year salary, or $22,500-$37,500 on a $150,000 engineer), a calibrated shortlist costs a fraction - and the $499 Calibration Audit lets you test our bar on one vacancy first, credited in full if you continue.

You're not paying for more resumes. You're paying for a shortlist someone with judgment has already stood behind, with accuracy shown, not claimed.

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

Includes deep GitHub code scans, technical task recordings, and comprehensive written candidate scoring rubrics.

$3,000 / mo

Monthly retainer

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

Want to test the calibration first?

Calibration Audit

$499

Give us one stalled vacancy. We'll build your custom grading matrix and deliver a test batch against your exact engineering bar.

(100% credited toward the full search if you move forward). Five checks you can run on any shortlist first.

Check if we're a fit

Who builds this

We stay lean on purpose. You work exclusively with the principals executing the search: never an account manager, never a hand-off, never a support queue.

Julia Lutaya, Founder & CEO

Operations & execution architect. Turning messy, broken hiring loops into predictable systems that match your exact engineering bar - so your team can build, not interview.

Preview LinkedIn

Daria Dovzhikova, Founder & CTO

12 years building technology and scaling DevTools & AI startups (including 7 years at JetBrains launching Rider). Deep engineering roots, zero fluff.

Preview LinkedIn

FAQ

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

AI sourcing tools can search, rank and contact candidates. Your team configures the workflow and reviews the results. Ranked.I delivers a shortlist checked by a senior person, with published agreement results against client evaluations.

How is this different from an executive search / expert network?

Those route your role to outside experts recommending from their own contacts. Good for warm intros, but there's no standard way to measure how accurate the recommendations are. We calibrate against your specific bar and show you the number.

Do you work outside tech roles?

Currently we're focused on developer and data roles, where the calibration has been tested. We'd rather say that plainly than overreach.

Is my hiring budget already approved?

If it's not yet, that's worth sorting out internally before starting a search.

Ready to see if we're calibrated to your bar?

Share the role details. We’ll review your stack and get back within one business day.