Your resume + your personality,
mapped to careers that actually fit.
Create your free account with Google, answer eight quick taps, add your resume — and a fully transparent engine maps your 18 best-fit career paths. Founding members are free for life.
No credit card · your resume is readable by you alone · or try one of the three example profiles
Illustrations. The images on this page are AI-generated illustrations commissioned for CareerCompass. They depict no real person and are not photographs.
Let's find your starting point
—Eight taps, no typing required. Every answer can be customised, and nothing here is saved anywhere but this device until you sign in.
Personality profile Enter your five 16-style trait percentages — from any test you trust, or your own honest read.
This is a heuristic mapping, not a psychometric instrument. Type indicators describe preference, not ability — the engine treats them as one signal among several, and shows its work.
Resume Three ways in — attach a file, talk it through, or paste text. Whichever is least effort right now.
Searched against all 923 O*NET occupations on the Career Paths tab, each with its published interest profile and sourced pay and outlook.
Document library Add anything you want the engine and the coach to know — industry research, job postings, notes. Up to 12 documents, .md/.txt or pasted text, each stays in your record.
Transition planner Set these two and every card below shows what the move would cost you in study time, and what it changes about your AI exposure.
Explore any field All 923 O*NET occupations, scored against your interest shape, with sourced pay and outlook. Type your desired field — or anything you're curious about.
Application tracker Run the search like a funnel: every application gets a source, a status, and a follow-up date — the reminders box above surfaces anything due.
| Company | Role | Source | Applied | Follow-up | Status | Note |
|---|
Warm-intro tracker Org or person, who introduced you, and what happened next.
| Org / person | Contact | Relationship | Intro sent | Meeting | Follow-up | Outcome |
|---|
Recruiter tracker Search firms work for employers, not for you — but the good ones are worth cultivating. Track who has your resume and when you last spoke.
| Firm | Recruiter | Focus | Last contact | Follow-up |
|---|
Where warm intros come from
In rough order of warmth: former colleagues and managers · your school's alumni network (searchable via LinkedIn Alumni) · professional associations in your field (most metros have chapters; search "your field association") · veteran networks if you served — RecruitMilitary, Hiring Our Heroes, ACP mentorship · faith and community job-support groups — Crossroads Career locator.
The ask that works
Don't ask for a job — ask for twenty minutes about how they got where they are. Bring one specific question. End with "who else should I be talking to?" — the second intro is the whole game. Log every conversation here the same day; a tracker updated later is fiction.
Know your worth Set your own floor and target. The sourced anchor below is the objective number to negotiate around.
Medians hide spread: half earn more, half less, and metro, industry and seniority move the number a lot. Cross-check with Glassdoor, Payscale and Levels.fyi (tech).
Positioning Framing that travels, whatever the field.
Lead with outcomes, not tenure. Numbers travel; years get discounted. Results first — resume, LinkedIn, and the first thirty seconds of any call.
Frame experience as low-risk. Employers worry seniority means high cost or coasting. Counter it head-on: you ramp faster, need less management, and bring relationships that shorten cycles from day one.
Modernize the toolkit story. Note current tools and comfort with AI in your materials — it takes the "set in their ways" objection off the table.
Own the "why now". One clean, confident sentence for why you're on the market. Forward-looking and unbothered reads as strength.
References Ask permission BEFORE you list anyone — the permission column is the point of this table.
| Name | Relationship | Contact | Permission? |
|---|
The radius is minutes × speed ÷ 60 as the crow flies — a planning aid, not a routed drive time. Geocoding by Nominatim / OpenStreetMap; your address goes to their server only when you press Set home.
Target employers All self-added. Add by name and address/city — we geocode it.
Compass — your AI career coach Talks out loud. Grounded in your profile, your documents, and your path rankings — and honest about what it doesn't know.
How this works: your message plus a clamped excerpt of your profile and documents goes to our server, which asks Gemini for the reply and ElevenLabs for the audio. The API keys live only on the server. The coach is instructed to never invent salary figures — sourced numbers or nothing, same rule as the rest of the app.
Ground truth on occupations
The two sources this engine now ships with, bundled and versioned.
O*NET OnLine — the U.S. occupation database. This app bundles the O*NET 30.3 interest profiles (923 occupations, CC BY 4.0).
BLS Occupational Outlook Handbook — this app bundles BLS median wages (May 2024) and 2024–34 projections from Employment Projections Table 1.2.
Personality
16personalities — free test matching this app's five-axis input.
O*NET Interest Profiler — the validated interest test.
Search & network
LinkedIn Jobs · Indeed · Levels.fyi (tech comp, sourced)
What this version does not do yet
No PDF/DOCX parsing (paste text, or attach .md/.txt) · no metro-level wages (the bundled figures are national medians; metro-aware is on the research list) · no hand-verified employer packs (map employers are self-added and badged as such) · the salary anchor is a median, not an offer predictor. Each gap is listed here, not quietly faked.
Data attribution & licenses
This product includes information from the O*NET 30.3 Database by the National Center for O*NET Development, used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA; this app is not endorsed by them. Wage and outlook figures are from the U.S. Bureau of Labor Statistics (public domain): median annual wages May 2024, employment projections 2024–34. Bundled 2026-08-02; refreshed with each release.