Make Every Resume Face the Same First PassCriteria You Control. Reasons You Can Inspect.
Screen resume batches against criteria you control. Review ranked candidates with criterion-level scores and visible rationale, then keep the interview and hiring decision with your team.
Founder story
See Modern Recruiter in action
A founder-led look at faster, transparent, human-controlled candidate screening.
Founder Cut transcript
My friends, I built Modern Recruiter because I was stuck. I was hiring data scientists, and the resumes reaching me were not the people I knew were hiding in the applicant pool. My choice seemed unacceptable: settle for a weak shortlist, or repeat a broken process and lose more weeks.
So I changed the first pass. I defined what great looked like, let AI read every resume, and reviewed a ranked list with the reason behind every score. Since then, I have used this method to hire ten A-plus people. Albert, one of the first, rebuilt our AWS machine-learning operations and put a production model live in about a month.
Modern Recruiter gives you that same leverage. Add the job description. Edit the scoring rubric. Upload the resumes. Turn on anonymization. Then review a ranked pool with every rationale visible. You stay in control; the AI does the reading.
What Modern Recruiter Actually Does
A source-verifiable feature set for a consistent, reviewable first pass through a resume pool.
Upload PDF, DOCX, and TXT resumes in one session instead of opening and sorting every file by hand.
Edit the criteria, descriptions, weights, and scoring methods before any resume is evaluated.
Review the reason behind each criterion score and compare it with the evidence in the resume.
Save an approved scoring rubric and load it again for a similar search instead of rebuilding the screen each time.
See pending, processing, completed, and failed file states, then return to completed screening sessions later.
Export the recruiter-reviewed result set to CSV for use in an ATS, CRM, or client workflow.
How It Works
Three reviewable steps from role criteria to recruiter-approved results
Define Your Criteria
The system will auto-create a custom scoring rubric tailored to your role. It will suggest criteria like experience, skills, education, each with a customizable scoring range. Save rubrics to reuse for similar positions.
Upload Resumes
Add the role's resume pool as PDF, DOCX, or TXT files. Processing continues in the background and each file keeps a visible state in the screening session.
Review & Export
Get ranked results with detailed scores for each criterion. See exactly why each candidate scored the way they did. Export to CSV for sharing with your team.
Proof You Can Inspect
Product behavior, explicit boundaries, and a founder account instead of anonymous marketing testimonials.
Our Pricing Philosophy
Current product behavior, without an invented package promise.
Credit-based usage
Resume evaluations use processing credits. The required credits are shown before a screening session starts.
Live totals before checkout
The signed-in billing page shows the current credit options and purchase total before payment.
Failed work is settled back
When a file does not complete evaluation, session finalization returns the unused portion of the reserved credits.
Higher-model usage is explicit
A criterion can use a higher-quality model for an added credit multiplier. The session shows that multiplier before processing begins.
Product Controls You Can Verify
Batch Processing
Upload PDF, DOCX, and TXT files in one session
Background Processing
Processing continues if you're interrupted
Per-File Status
See pending, processing, completed, and failed states
Credit System
Pay only for what you use
Rubric Library
Save and reuse scoring templates
Score Validation
AI scores stay within your defined ranges
Optional MFA
Native accounts can enable multi-factor authentication
Results Export
Download the reviewed result set as CSV
Session Dashboard
Return to prior screening sessions and their result state.
Transparent AI Disclosure
Criterion-level rationale, rubric attestations, and a candidate-facing disclosure template.
AWS-Managed Encryption
DynamoDB and S3 resources are configured with managed encryption in the infrastructure definition.
Ready to Test the Method?
Start with one live role. Inspect the rubric, the ranking, and the rationale before deciding whether it improves your first pass.