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Resume ShortlisterPowered by TESSA AI

Hiring is noisy. Resume Shortlister finds the signal.

Resume Shortlister is SkillSauce's free AI resume screener. TESSA AI scores every resume out of 100 against your job and explains why. It weighs proof, stability and fit, and flags AI-written resumes and job hopping.

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  • Free on every plan
  • No credit card
  • Used by 260+ teams

Illustration: Resume Shortlister reads six resumes for a Senior Frontend Engineer role and ranks them by ATS score, with a reason for each.

Fictional candidates.

The problem

More noise. Fewer real fits.

Hiring moves in cycles. Today more people chase each job. Many resumes are AI-written, unproven or full of short stints.

Trust and stability now matter as much as skills.

  • Worth a call
  • AI-written
  • Unproven
  • Job hopping
  • Off-target

Illustration, not data.Doubling: LinkedIn, 2026 (opens in a new tab)

Twice the applicants.A few worth a call.

Resume Shortlister cuts the noise.

It reads every resume and ranks the few worth a call.

Why keyword filters miss

Same resume. Three reads.

A polished resume can fool a skim and a keyword filter. Resume Shortlister checks the proof.

46%: listed, not proven

Skills are named, never shown. The wording looks AI-written.

Fictional resume. Keyword filters vary by tool.

No black box

What Resume Shortlister checks.

17 checks. Every resume. Every time.

17 checks on every resume

Check 1 of 17

Fit to the job

Job description alignment

What it checks

How well the work matches your job description.

In the report

Leads a React and TypeScript platform and owns the component library, the role's core responsibilities.

Examples come from fictional resumes.

All 17 checks

  • Fit to the job

    Right job, right industry.

    • Job description alignment
    • Role fit
    • Industry fit
    • Requirements, even without a JD

  • Skills

    Shown, not just listed.

    • The skills you chose
    • Related role skills
    • Evidence, not mentions

  • Experience

    Relevant, proven and stable.

    • Relevant experience
    • Projects and achievements
    • Job stability

  • Background

    Education and certifications.

    • Education
    • Certifications

  • Signals

    AI-written resumes.

    • AI-written signals

  • The verdict

    A score with reasons.

    • Readiness
    • Ramp-up time
    • Strengths and gaps
    • ATS score with reasons

Watch it read

One resume. Six layers.

Scroll to run each layer over a sample resume.

Illustration: Resume Shortlister's six layers run over a sample resume from Aanya Mehta for a Senior Frontend Engineer role.

  1. Layer 1, Job description: Strong alignment. Leads a React platform. Owns the component library.
  2. Layer 2, Skills: 5 / 6 matched. 5 of 6 skills matched. GraphQL missing.
  3. Layer 3, Experience and projects: 6+ yrs relevant. 6+ years relevant. Load time cut from 4.1s to 1.6s.
  4. Layer 4, Job stability: Stable. 2 companies in 6 years. Average tenure ~37.5 months.
  5. Layer 5, Education and certifications: B.Tech, CS. B.Tech, Computer Science. No certifications.
  6. Layer 6, AI-written signals: 4% AI chance. Specific, measurable claims. AI chance: 4%.

ATS Score 91%. Strongest fit, ready now. Job stability: 2 companies in 6 years, average tenure ~37.5 months, stable. Education: B.Tech in Computer Science. Certifications: none listed. Experience quality: leads a React platform; built a design system used by six teams. Ramp-up time: under a month. Chance AI was used to generate this resume: 4% Strengths: Leads a React platform; design system used by 6 teams; measurable performance wins. Gaps: No GraphQL; mentoring not evidenced.

Try it

A ranked shortlist, with reasons.

Open any candidate. Set a cut-off. Pick who moves on.

Resume Shortlister Analysis

Senior Frontend Engineer

8 total · 8 analyzed · 0 in queue · 0 duplicates · 0 failed

Sorted byATS Score

Aanya Mehta

aanya_mehta_cv.pdf

ATS Score91%

[email protected]

+1 (555) 010-0142

Career

  • Stable

2 companies in 6 years · average tenure ~37.5 months

  1. Senior Frontend Engineer, Northwind Labs: 3 years 9 months.
  2. Frontend Engineer, Contoso: 2 years 6 months.

AI-written

4%chance

Quick facts

Readiness
Ready now
Ramp-up
Under a month
Experience
High: leads a React platform
Education
B.Tech, Computer Science

Overall Notes

Strongest fit, ready now. Job stability: 2 companies in 6 years, average tenure ~37.5 months, stable. Education: B.Tech in Computer Science. Certifications: none listed. Experience quality: leads a React platform; built a design system used by six teams. Ramp-up time: under a month. Chance AI was used to generate this resume: 4%

JD Alignment

Leads a React and TypeScript platform and owns the component library, the role's core responsibilities. Mentoring is not mentioned.

Skill Match

Fully Matched (5)

  • React
  • TypeScript
  • Next.js
  • Jest
  • Design Systems

Partially Matched (1)

  • Accessibility Testing

Not Matched (1)

  • GraphQL

Score Composition

LLM Analysis93%

Keyword Baseline83%

Strengths

Leads a React platform; design system used by 6 teams; measurable performance wins.

Gaps

No GraphQL; mentoring not evidenced.

Daniel Reyes

daniel_reyes.docx

ATS Score84%

[email protected]

+1 (555) 010-0117

Priya Sharma

priya_sharma_resume.pdf

ATS Score76%

[email protected]

+1 (555) 010-0163

Kwame Osei

kwame_osei_cv.pdf

  • Job hopping
ATS Score58%

[email protected]

+1 (555) 010-0185

Sana Kapoor

sana_kapoor_resume.pdf

  • Job hopping
  • 14-month gap
ATS Score52%

[email protected]

+1 (555) 010-0176

Leo Martins

leo_martins_resume.pdf

  • AI-written 78% chance
ATS Score46%

[email protected]

+1 (555) 010-0128

Ethan Brooks

ethan_brooks_cv.pdf

  • Job hopping
  • AI-written 64% chance
ATS Score39%

[email protected]

+1 (555) 010-0194

Meera Pillai

meera_pillai_portfolio.pdf

  • Role mismatch
ATS Score18%

[email protected]

+1 (555) 010-0151

Select candidates to move them on.

Illustrative interface. Fictional candidates. The career timeline, AI-written meter and quick facts illustrate what the notes say.

Impact

Hours back, every month.

Move the sliders. Your numbers, not a promise.

Applicants per US opening doubled since 2022 (LinkedIn, 2026). Source

42% of hiring managers now spend more time reviewing applications (Robert Half, 2026). Source

22.5 hours of reading a month, off your desk

  • about 2.8 working days
  • 3 h 45 min per role
Your team, reading

Resume Shortlister, in the background

A working month

2.8 of 20 days

Each square is one working day of 8 hours. The bar above is full at one working month.

6 roles × 300 applications × 45 sec ÷ 3,600 = 22.5 hours

Resume Shortlister flags what a quick read misses.

  • Job hopping
  • Unexplained gaps
  • AI-written resumes
  • Skills listed, not shown
  • Missing skills
  • Role mismatch

One platform

Shortlist here. Hire from here.

Resumes come in from across SkillSauce. Shortlisted candidates go straight to their next step.

Resumes come from

Resume Shortlister

Ranked and explained

Shortlisted candidates go to

Prefer a board? Use the Resume Shortlister lane on the Job Profiles board

Why SkillSauce

Built to cut the noise.

  • Free on every plan

    No credits. No per-resume fees.

  • Reasons, not just a number

    Every score shows why.

  • Proof over keywords

    A skill counts when the work shows it.

  • Spots AI-written resumes

    Flagged with a confidence score.

  • Job hopping, at a glance

    Short stints and gaps, called out.

  • Every shortlist saved

    Come back, add more, export to CSV.

Built for Responsible and Efficient Screening

Resume Shortlister ranks and explains. People decide.

Every resume gets the same checks, so teams move faster and trust each call.

  • The same 17 checks for every resume
  • A reason behind every score
  • Your data never trains TESSA AI

Resume Shortlister trust & efficiency

The same checks every time, a reason for every score, and hours of reading off your desk.

Screening Consistency
93%
Shortlist Speed
89%
Explainability
91%
FAQ

Resume Shortlister FAQ

How it reads resumes, what you can upload and what it costs.

What is Resume Shortlister?+
SkillSauce's AI resume screening tool, powered by TESSA AI. It scores every resume out of 100 against your job and explains why.
What does Resume Shortlister check?+
Job fit, skills and proof of them, experience, projects, job stability, education, readiness, ramp-up time and AI-written signals. 17 checks in all.
How does it spot AI-written resumes?+
It looks for buzzwords, uniform structure and repeated patterns, and gives a confidence score. It flags. It never rejects.
How does it judge job stability?+
It counts companies and average tenure, and notes unexplained gaps. Internships never count against anyone.
Why is resume screening harder now?+
More people chase each job, and many resumes are AI-written. In the US there is 1.0 unemployed person per job opening, up from 0.5 in 2022 (BLS, 2026). Applicants per opening have doubled (LinkedIn, 2026).
How is the score worked out?+
Mostly from an AI reading of experience, skills, projects and role fit, plus a small keyword baseline. Score Composition shows both.
Do I need a job description?+
No. Pick the industry, role and up to six skills. Without a job description, it works out what the role needs.
Which files can I upload?+
PDF, DOC and DOCX in bulk, or a CSV or Excel file. You can also score candidates already in SkillSauce.
What happens after I shortlist?+
Send candidates to an assessment or interview, move them to a group, or export a CSV. Every shortlist is saved.
Does it cost credits?+
No. Resume Shortlister is free on every plan. Credits are only for TESSA AI interviews and proctored assessments.

Cut the noise. Meet the right people first.

Free on every plan. No credit card.

Get Started FreeBook a Demo
Fictional candidates.

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