Post a role, get a ranked shortlist, ask why anyone’s on it, and reach out — in your hiring channel, or in the full web app. Same engine behind both: it reads the actual work, and flags the ones who don’t hold up.
Free to start · no card · no new tab to adopt
Priya9:41 AM
@EigenWork hiring a senior backend engineer, payments. Can you take applicants?
EigenWorkApp9:41 AM
On it. Here’s your link to share → eigenwork.com/apply/sr-backend. Once they’re in — want the full ranked list, or just the best fits for what matters most here?
Priya9:43 AM
best fits — it’s payments, so correctness matters most
EigenWorkApp9:43 AM
Then I’m weighting production ownership of money-critical systems. Top pick: Maya Rodriguez — owned a billing ledger at ~2M transactions/day and drove the fix that killed their double-charge incidents. That’s the reliability this role lives on.
One caveat: it’s all been at one company on a mature system — worth probing whether she can stand one up from scratch, not just run one.
Slack, the web — and soon, right inside your own ATS. One engine behind every door: the same screens, the same shortlist, the same data. Switch anytime; nothing’s trapped in one place.
For the daily back-and-forth
Ask who’s strongest and why, mint an intake link, move a candidate to interview, draft outreach — without leaving the channel you already live in.
For the deep dive & setup
The full ranked pipeline, every candidate’s evidence, your hiring analytics, and the shared team workspace and billing.
Ashby first
Candidates still apply through your EigenWork link and get screened first — then the ranked shortlist, evidence, and notes land in your own Ashby, ready for your team. Your ATS is the finish line, not another intake form.
One login, one workspace — the same data wherever you open it.
Every applicant ranked by what they’ve actually shipped, each with a reason you can act on — and the one whose story doesn’t hold up, flagged before you book the call.
Maya Rodriguez
Senior backend · 6y, fintech
Owned a billing ledger at ~2M transactions a day and ended their double-charge incidents — the money-correctness this role runs on.
Probe: all of it at one company on a mature system; ask how she'd stand one up from scratch.
Aditya Patel
Backend · 4y, growth-stage SaaS
Clean service ownership and solid data modeling; lighter on the high-volume consistency edge cases. A strong interview, not a sure bet.
Vikram Singh
Backend · claims 5y
Reads staff-level on paper — distributed microservices, SQL tuning at scale — but nothing in the actual work backs it up.
In the code
On the résumé
Résumé to ranked: under 90 seconds per applicant.
Why EigenWork
And doubt the rest — the difference between a pile of plausible résumés and a shortlist you can actually act on.
Real code and shipped systems for early-career engineers; the track record the work actually backs for seniors. Now that AI writes the résumé and the take-home, the work is the last thing that’s hard to fake.
EigenWork assumes the résumé is selling you something. It cross-checks every claim against the evidence and flags what doesn’t add up — padded scope, suspiciously round “improved-by-40%” metrics, a repo built in a weekend and dressed up as a career.
A data engineer isn’t graded on a backend yardstick. EigenWork knows what good looks like across backend, frontend, mobile, data, ML, DevOps, QA, and security — and judges each candidate against their own field.
Every candidate comes with a one-line, evidence-backed case you can paste into a calibration doc or defend to a hiring manager — plus the single thing worth probing in the interview.
Ask in Slack, dig in on the web, and — soon — let the screened shortlist land in your own ATS. No new tool to adopt, no pipeline to migrate.
On the Team plan, your screens roll up into the inflated profiles you caught, how well your top-ranked candidates clear interviews, and which sources actually send talent.
Inflated profiles found
23this quarter
flagged before the call
Staged repos and claims the code didn’t back — caught before they reached an interview.
Shortlist quality
88%top-10 clear rate
7 of 8 selected from your top 10 cleared interview
Interview-clear rate by shortlist depth
Top 10
8 of 10 selected
Top 20
12 of 20 selected
Ranks 11–20
4 selected
Source quality leaderboard
Share of each source’s applicants that reach your top-10 shortlist — so you spend on the channels that actually send talent.
Referrals
5 hires · 41 subs · 71% interview-clear
Hacker News Who's Hiring
6 hires · 84 subs · 60% interview-clear
Company site
2 hires · 67 subs · 33% interview-clear
LinkedIn (organic)
9 hires · 312 subs · 44% interview-clear
Indeed
2 hires · 188 subs · 25% interview-clear
EigenWork works in Slack on every plan. Start free; upgrade when you have a real hire to make.
Free
$0forever
Your first role. No card.
Single role
$149/ role
One focused hire, 60 days.
Team
$699/ team
Your whole cohort, 6 months.
See full pricing & Enterprise → · Overage available, never expires.
Up to you. The whole loop — posting a role, the ranked shortlist, asking why, drafting outreach — works in Slack if that’s where you live. Prefer a dashboard? It’s all in the full web app too. Same engine and data behind both; most teams use both.
Every plan, including Free — Free just has a lower daily limit on questions. Outreach drafting is on the paid plans. The bot drafts the note; you send it from your own inbox, so nothing goes out without you.
That’s coming — Ashby first. Candidates always apply through your EigenWork link and get screened there; the integration just changes where the results go — the ranked shortlist and notes flow into your own Ashby instead of staying in EigenWork. Your ATS is the endpoint, not the intake.
60-second intake. No timed coding gauntlet. They drop a PDF, paste a GitHub URL, pick a couple preferences, done. Strong engineers who already have offers actually finish it.
For senior candidates we read the résumé and the work history they list. GitHub is the signal for juniors who don’t yet have a track record at named employers. Both reach the same shortlist.
Résumés and repo analyses are deleted 90 days after a role closes. Candidates can request earlier deletion any time. Payment is handled by Paddle; we don’t store card info.
Live in 60 seconds. No card. No demo call.