Every new role creates the same mess: resumes from LinkedIn, Indeed, email, referrals, and your ATS. Different formats. Missing fields. Too many tabs. Too much copy-paste.
Every source lands differently, so your team burns time opening files, copying fields, and rebuilding the same candidate table by hand.
While the pile is still being sorted, the best applicants are invisible to the team and already taking calls somewhere else.
ATS parsers extract generic fields. ChatGPT handles one resume at a time. Neither gives you custom screening columns, citations, exports, and a review queue.
AI lets every candidate generate a keyword-perfect resume tailored to your exact posting. Keyword matching can't tell them apart — so we don't keyword-match. We read for substance: concrete outcomes, real systems, measurable scale. The fluff gets flagged, with the evidence.
We don't guess whether a resume was written by AI — an unreliable, accusatory game. We measure something real: whether the experience is substantiated.
No prompt engineering. No workflow builder. Recruiter inputs only — and the table does the rest.
Drag in PDFs, DOCX files, or text. From job boards, LinkedIn, email, your ATS.
Paste the role requirements once. Used to score every candidate.
Add columns like 'Kafka experience', 'Toronto-based', 'Worked in fintech'.
See match scores, missing requirements, red flags, and source evidence per cell.
Send to CSV or XLSX. Get on the phone.
Instead of spreading the product across separate demos, this is the core loop: define what matters, check every candidate, and act on the ranked list.
Add screening columns for must-have skills, domain context, location, seniority, sponsorship, or whatever this role actually needs.
| Candidate | Match | Years | Location | Kafka exp. | Status |
|---|---|---|---|---|---|
SO Sasha Okafor Backend Engineer | 95 | 4y | San Francisco, CA | Unclear | Call first |
LH Lila Hernandez Backend Developer | 95 | 5y | Toronto, ON | No | Call first |
CD Camille Dubois Senior Backend Engineer | 95 | 5y | Montréal, QC | No | Call first |
AR Aisha Rahman Backend Developer | 95 | 6y | Bengaluru, IN | No | Call first |
AC Alice Chen Senior Backend Engineer | 92 | 8y | Toronto, ON | Yes | Call first |
Punch in your numbers. If a recruiter spends 45 seconds copying basic details from each resume, 200 resumes is 2.5 hours before real screening even starts.
Recruiting workflows aren't one-size-fits-all. ShortlistTable bends to the shape of yours.
Review high-volume applicant batches and submit strong candidates faster than the agency down the street.
We're onboarding recruiters in small batches. Join the waitlist and you'll be in the first group to get early access.
Your shortlist is ready