MWJ MeWannaJob

Questions and answers

How this job pool works.

MeWannaJob is designed around one simple loop: get fresh job data, turn it into a practical apply plan, then inspect the same market when you want proof. The Q&A below keeps the RFC ideas understandable without making the homepage carry all of the explanation.

RFC concepts in plain English

Open data pool

The dataset is the source of truth.

MeWannaJob views are different doors into the same May 2026 job data. A user can view listings, filter them, or create dashboards without switching datasets.

Topology

The consumer site stays focused.

MeWannaJob is for job seekers and researchers. Canonical data contracts and pool transparency are separated so search engines can understand each surface.

Crawl hygiene

Helpful pages are indexable. Tools are not.

Q&A, About, home, and jobs pages are crawlable. Utility workspaces are kept out of search results so they support the product without competing with it.

Common questions

What people ask before using MeWannaJob.

What is MeWannaJob?

MeWannaJob turns fresh open job listings into something you can act on. You can ask ChatGPT to rank jobs against your resume, browse the dataset directly, filter listings, or create a dashboard for deeper comparisons.

Why is ChatGPT the first path?

Most people do not want a giant job table first. They want to know what to apply to. The ChatGPT path downloads the jobs CSV and opens a fit prompt so the user can get ranked roles, gaps, outreach drafts, and a 7-day plan quickly.

Can I browse the May 2026 dataset without uploading a resume?

Yes. The dataset view, filtering surface, and dashboard can all start from the cached May 2026 job dataset. Resume upload is only needed when a user wants personalized ranking.

What is the difference between View Dataset, Filter Jobs, and Create Dashboard?

View Dataset opens the mobile-first query surface. Filter Jobs opens the map and filtering experience. Create Dashboard opens the desktop workspace for side-by-side comparisons over the same cached dataset.

How does this relate to the Open Job Data Pool RFC?

The product treats listings as reusable data instead of one-off search results. That lets job seekers, researchers, and builders ask repeatable questions about skills, industries, locations, and job freshness.

How does this relate to the Job Pool Web Topology RFC?

The topology keeps each web surface clear: MeWannaJob is the consumer product, the data layer is the canonical contract surface, and transparency views explain the pool. That separation keeps search intent cleaner.

Are the app views supposed to rank in Google?

No. App views are working surfaces, not landing pages. They are intentionally marked noindex so the crawlable pages can explain the product while the tools remain fast and focused.