The next era
of evaluation

Candidates apply with profiles built from their real work. Truen sorts them, answers your questions, and writes the interview.

Recruiters ask Truen things like: Backend engineers who've shipped production APIs and write thoughtful tests · If I gave this candidate ML tasks, could they handle them? · Build a 45-minute interview on their distributed-systems work and our API design needs

For employers

Find candidates with ease using natural search

Describe the engineer you need in plain words. Truen searches candidates who opted in and returns each match with its proof.

Recruiter describes the engineer they want. Truen interprets the query, returns candidates with evidence, and opens a profile with work and capability proof. This demo uses fictional people and does not search live data.

Find candidates

Describe who you are looking for

Only candidates who opted in to being found are searchable.

Start from an example
Full-stack engineer with React and NodePython engineer with ML infrastructure experience

Truen Profile · Version 3

Jake Miller

Generated Sep 12, 2026

Jake built and still runs a multi-tenant API and a durable job runner in production. Tenant isolation and on-call ownership are well evidenced; hot-path tests are thinner.

Trajectory · Accelerating

Scope grew through 2026, with fixes shipped after launch.

Qualification fit

2 of 2 strong fit

Strong fit: founding engineer, backend infrastructure.

Show 2 criteria

Post a job, define what good looks like

Write the capabilities the role needs in plain words. Truen flags any that aren't written as a capability it can assess, and you decide what stays.

A recruiter posts a Founding Backend Engineer job and writes its qualifications: Backend API design, a data pipeline line written as a sentence, and Production ownership. On save, Truen flags the sentence and suggests the capability title Data pipeline reliability with a description. The recruiter uses the suggestion, saves the job as a draft, publishes it, and shares it, which copies the job's apply link. This demo uses a fictional job and does not use live data.

Candidates apply with a Truen Profile, and arrive ranked

No resume to upload. Applicants are ranked by a verdict on each qualification, never a score, with the files and commits behind each verdict one click away.

A candidate opens the job posting and applies with their Truen Profile, with no resume to upload; the profile is frozen and shared with the employer. On the recruiter's Applications tab the new applicant arrives with qualification fit pending, then moves to the top once it is assessed. Each applicant shows verdict counts per qualification, not a score: one lower-ranked applicant reads 1 strong fit and 2 insufficient evidence. The recruiter opens the top applicant, sees a verdict for each qualification, opens the full profile, and expands the evidence behind one verdict: a file, a commit and a repository. This demo uses fictional people and does not use live data.

Questions recruiters ask

How Truen reads evidence, who sees what, and what it will not claim.