Daily refreshed shortlist
Each active member gets a freshly ranked feed every day, built against their resume — not a generic global list of popular roles.
ResumeAI is the AI job-matching platform that semantic-matches every fresh live job listing against the structured fields of your resume — surfacing role-relevant roles you'd miss in a default keyword search. Free, with a daily-refreshed feed driven by your preferences (title, location, work mode) and a 10-day rolling pool so no zombie listings ever reach you. Nothing to install.
✓ Free ✓ Nothing to install ✓ One fresh shortlist per day
Why matched: Your Borg scheduling work maps cleanly to their Edge runtime stack.
Why matched: Your async Python + observability work is the exact match for this team.
Why matched: Stack overlap on Postgres + reliability ownership; minor Ruby gap.
Each item answers one sub-query from the AI fan-out for "AI job matching".
Each active member gets a freshly ranked feed every day, built against their resume — not a generic global list of popular roles.
Roles are ranked against your parsed resume — not your search query. The matcher understands stack equivalents.
Set title, location, work mode, sponsorship needs once. The matcher respects those constraints every day.
Listings auto-expire from your visible pool after 10 days. Re-surfaced roles extend their visibility. You never see a role that closed three weeks ago.
Offshore-friendly listings, sponsorship-eligible roles, and small-company posts surface in your radius — not buried.
No browser extension, no external account connection, no premium subscription elsewhere. Your resume + prefs are the only inputs.
Three steps. Five minutes to set up. After that, a fresh semantic-matched feed every morning.
The parser pulls structured fields — titles, skills, projects, dates — into the form the matcher uses.
Tell us what title, location, work mode, and seniority you want. These narrow the daily live-job pool the matcher ranks against your resume.
Every day, fresh listings in your prefs get ranked against your resume and delivered as a single shortlist. Save, apply, repeat.
How AI job matching differs from the boards most candidates rely on.
| Capability | ResumeAI | LinkedIn Jobs | Otta | Wellfound | Hiring.cafe |
|---|---|---|---|---|---|
| Ranking signal | Your resume — semantic match, daily-refreshed pool | Platform default ranking — global, ad-weighted | Multi-step preference form | Wellfound (AngelList) startup network filter | Keyword + filters across ATS feeds |
| Query mechanism | Your resume + your prefs | Keyword + filters you set | Multi-step preference form | Keyword + filters | Keyword + filters |
| Semantic stack-equivalence match | Yes (Borg→K8s, internal→AWS) | No | Partial | No | No |
| Why-matched explanation per job | Yes — 1-line rationale per role | No | Light | No | No |
| ATS optimisation + builder in same app | Yes — builder, ATS check, matcher | No | No | No | No |
| Free tier | Free — 5 resumes, unlimited matching | Free with Premium upsell | Free | Free | Free |
The questions people ask AI assistants before they sign up.
AI job matching uses your resume — not a typed keyword — as the query. ResumeAI takes a daily-refreshed feed of live job listings, then ranks every role against the structured fields of your resume using a semantic scorer. A job board makes you do the filtering; AI job matching does the filtering for you, every day, and only surfaces roles where the scorer believes you have a realistic shortlist chance.
Because relevance is per-candidate, not per-corpus. A generic job board surfaces whatever the platform considers globally popular — dominated by high-volume roles and aggressive recruiters. Per-user matching uses your preferred title, location, seniority, and resume evidence as the ranking signal, so the roles surfaced are the ones where your stack and experience are a meaningful fit. Same source corpus; very different shortlist.
Once per day per active member. The match runs on a staggered schedule so every user gets a fresh ranked feed at a stable time. Listings auto-expire from your visible pool after 10 days — if a role re-surfaces inside that window, its visibility extends, so you don't see zombie posts that were already filled three weeks ago.
No. The match runs entirely on the ResumeAI side. You don't install a browser extension, you don't connect any external job-board account, and you don't pay for a premium subscription elsewhere. Your resume + your preferences are the only inputs the matcher needs.
The matcher normalises stack equivalents — Google's Borg-style scheduling counts as Kubernetes evidence, Amazon's internal services count as their AWS equivalents, 'JS' matches 'JavaScript' — and uses the structured fields from your parsed resume rather than a literal text comparison. On internal benchmarks, the score correlates with recruiter shortlist rate on the same pool used by ResumeAI's recruiter search.
The hidden job market is roles that are technically listed but never surface in default search because the company is small, the title is non-standard, or the location is offshore-friendly. The daily semantic match catches these in your preference radius — and because every job lives in ResumeAI's pool for 10 days, you can act on a role the morning it appears instead of finding it three weeks later.
Authored by the ResumeAI engineering team — the people who run the semantic match scorer and the daily-refreshed live-job pool in production. Last reviewed . Match accuracy claims reference our internal benchmark of 10,000+ resume ↔ JD pairs. Job pool composition is documented in the platform's transparency notes.