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Hiring you can check, line by line

Candidate

cnd_qmrtwkhavzpelxbndsyc

Name withheld until they share it

Fit for Backend engineer 75%
75%
PHPMetMet
LaravelMetMet
MySQLShort2 of 3 years
DockerMetMet
KubernetesMissingMissing

Skill gap, most valuable first

  1. Kubernetes, not yet on the profile
  2. MySQL, one more year asked for
An example with generated data.

Every score is shown line by line, to the candidate and the recruiter alike. Employers see a reference, not a name, until the candidate shares it.

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Five requirements, weighted, add up to 75%

  1. The role is posted

    Each required skill carries a weight, from 2 to 5 here.

  2. The profile is built

    Skills and the years behind each, entered by the candidate.

  3. Each requirement is compared

    Met counts in full, short on years counts 0.6, missing counts 0.

  4. Both sides read the result

    Where only skills are asked for, the points over the total weight give the score.

Points for each requirement
Skill Weight Result Points
PHP5Met, 15
Laravel4Met, 14
MySQL3Short, 0.61.8
Docker2Met, 12
Kubernetes3Missing, 00
Total1775%12.8
12.8 of 17 is 75%, the score at the top of the page. An example with generated data.

A reference for recruiters, skills for the engine

The candidate sees

You

Fit for Backend engineer75%
75%

What to learn next

  1. Kubernetes, not yet on the profile
  2. MySQL, one more year asked for

The recruiter sees

cnd_qmrtwkhavzpelxbndsyc

Fit for Backend engineer75%
75%
  • PHP
  • Laravel
  • MySQL
  • Docker

The matching engine receives

Pseudonym
cnd_qmrtwkhavzpelxbndsyc
Skills and years
PHP 4, Laravel 3, MySQL 2, Docker 2
The role
Five skills and their weights

Refused if sent

  • NameRefused
  • EmailRefused
  • AddressRefused

An employer the candidate has blocked sees none of this: its searches and lists leave the candidate out.

An example with generated data.

Fairness is measured, and small groups stay private

Applicants advanced past the first read, by self-declared region
Region Applicants Advanced
Region A4842%
Region B3139%
Region C2241%
Two smaller regionsWithheld: fewer than 10 people each
An example with generated data.

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Every decision is on the record
Hiring decisions are written to a hash-chained audit trail with signed checkpoints, so a later change shows.
No trackers, no selling, no training
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Candidates never pay
Billing belongs to the company's workspace, and a candidate's own comparison is not metered.
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Candidates can download their data, or have it removed.

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