Full-ATS overhead
Cost > value for the first 50 hires.
Configuring stages, scheduling, hiring-manager feedback flows for two seats and three open roles is wildly out of proportion to the value. The ATS only pays back at scale.
AI hiring copilot for startups
The AI hiring copilot for your first 50 hires.
Your first recruiter shouldn’t need an ATS to be effective. ShortlistTable is the AI screening copilot between “resume in inbox” and “interview scheduled” — drop the pile, write the must-haves in plain English, hand the top of the sheet to the hiring manager. Outgrow into a real ATS when the volume justifies it.
No ATS install · Free first 25 · Exports cleanly into Greenhouse / Ashby / Lever
shortlisttable.app / tables / first-eng-hiresSeries-B mode
| Candidate | Stack fit | Series-A or earlier | Ownership | Priority | |
|---|---|---|---|---|---|
Alice Chen Ex-Stripe · 5y | Yes | Yes | Strong | Call | 1st |
Marco Silva Big-Tech · 10y | Yes | No · big-co | Unclear | Review | 2nd |
Citation · Alice Chen · “Eng #2 at Stripe Ledger; built the team to 8 over 2 years” · resume p.1Source-backed
Hours
From inbox to shortlist
Per-role
Tables, not one funnel
$0
Per-seat for viewers
Clean
Exit to a full ATS
Where startup hiring breaks
ATS at three people is the wrong shape.
Startup recruiting teams hire across every function and every level, often with no dedicated tooling beyond a sheet and a Notion page. A full ATS at this stage is overkill — implementation cost, training cost, and a UI built for hiring 1,000 reps when you’re hiring four engineers.
What you actually need is the read-the-pile-and-decide-who-to-call step done well — and you need it without committing to a system of record you’ll outgrow in 18 months. We do that one job and step out of the way when you’re ready for a real ATS.
Sheet drift
Manual columns rot fast at startup speed.
Your must-haves change every week as the company learns what it actually needs. A hand-maintained sheet drifts within a month; the audit trail is “trust the founder’s memory”.
Hiring manager bottleneck
Founders shouldn’t be reading 80 PDFs.
At a startup the hiring manager is usually a founder or a senior IC. Their hour is the most expensive in the company. Wasting it on the read-everything pass is a tax on the company.
Startup-fit defaults
What makes it fit the first-50-hires phase.
01 · Feature
Per-role tables
Each role gets its own table with its own must-haves. Your engineering hires and your finance hires are not the same funnel — they shouldn’t share columns.
Eng hiresFounding GTMOpsFinance
02 · Feature
Founder-friendly invites
Invite the founders, the engineering manager, or a co-founder as viewers. No per-seat billing for the people who only need to read.
$0
viewer seat
upcharge
03 · Feature
Plain-English must-haves
Write the must-haves as questions, not as keyword lists. The engine reads every resume against them — you don’t have to learn a query language.
Has the candidate worked at a Series-B or earlier?
Shipped a production system as eng-1 or eng-2?
Comfortable with ambiguity?
04 · Feature
Clean export to a real ATS
When you cross the threshold and adopt Greenhouse, Ashby, or Lever — the CSV preset imports your full screening history. No data lock-in.
GreenhouseAshbyLeverWorkable
05 · Feature
Fast first shortlist
From “folder of 47 PDFs” to “sheet with 12 names and per-criterion evidence” takes minutes, not days. Hiring manager gets the shortlist same-day.
Drop folder→Write columns→Send shortlist
06 · Feature
No system-of-record lock-in
We never become your system of record for candidate data. When you outgrow the lightweight workflow, you take your data with you.
Export anytimeNo lock-inCSV / XLSX
How it compares
Startup hiring stack vs the alternatives.
| Property | Full ATS at 3 people | Sheet + Notion | Generic AI ranker | ShortlistTable |
|---|---|---|---|---|
| Setup time | ✕Days–weeks | ✓Minutes | –Hours | ✓Minutes |
| Per-role customisation | –Schema-bound | ✓Per sheet | –Templates | ✓Per table |
| Founder seat cost | ✕Per seat | ✓Free | –Varies | ✓Free viewers |
| Source-backed verdicts | –Limited | ✕Manual notes | ✕Rare | ✓Sentence + page |
| Outgrow cleanly | ✓Stays | –Manual migration | –Limited | ✓ATS-shaped exports |
✓ Supported– Partial / manual✕ Not supported
FAQ
Common questions from startup teams.
We’re 3 people and hire 1 role at a time — is this overkill?+
Probably not for 1 role at a time. Use the free browser tools — JD critique, JD↔CV matcher, bulk resume parser — and only sign up if you’re running multiple inbound piles you can’t keep straight by hand.
How does pricing compare to an ATS at this stage?+
ShortlistTable Solo is materially cheaper than the entry tier of any modern ATS, because we solve a smaller problem (screening, not pipeline management). When you actually need pipeline management, switch to an ATS.
Will I lose data when we migrate to a real ATS?+
No. Every workspace exports cleanly to CSV/XLSX with full screening history and evidence, so the migration is an import on the new ATS, not a rebuild.
Can the hiring manager (a founder) review without paying for a seat?+
Yes — viewers and reviewers are free. You only pay for the screening engine usage, not for people watching.
Does it support remote-friendly hiring (multi-timezone teams)?+
Yes — workspace activity is async by default, with optional notifications for the review queue. No scheduled call required to use the tool.
What about referral pipelines? They feel different.+
Referrals are usually high-trust candidates that still benefit from a structured screen. Same workflow — the only thing that changes is your must-haves can be tighter because the source is higher quality.
Also for early-stage teams
Other reads for founders + first recruiters.
Hire well, without overhead
Your first 50 hires deserve real screening tooling.
Try ShortlistTable on the next pile in your inbox. Free, no credit card, exports cleanly when you outgrow us.