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Officially verified details arkerah

Tell your story once. We rank open roles in five European countries against it, show only the ones you could get, and write a CV for each. Start free.

arkerah

arkerah Reviews and Details

This page is designed to help you find out whether arkerah is good and if it is the right choice for you.

Screenshots and images

  • The map: open corporate jobs ranked by fit across five countries //
    2026-10-15
  • A tailored CV for each job, written only from facts you confirmed //
    2026-10-15
  • Tell your story once: arkerah keeps what it learns about you //
    2026-10-15

Features & Specs

  1. Fit ranking

    Open corporate jobs ranked against your profile

  2. Deal breakers hidden

    Hides jobs needing a nationality or clearance you lack

  3. Tailored CV

    A CV for each job, written only from confirmed facts

  4. Job map

    Browse matches by city across five European countries

  5. Learning profile

    Short questions sharpen your matches over time

  6. MCP server

    Use arkerah inside Claude and other AI assistants

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Questions & Answers

As answered by people managing arkerah.
  1. What makes arkerah unique?

    Most job boards rank by keyword and recency and leave you to read every advert. arkerah starts from you instead: you tell it about your experience, languages, nationality and what you want, and it ranks open corporate jobs in the Netherlands, Belgium, France, Germany and Spain by fit. It also hides the jobs you could not get, for example a posting that requires a nationality or a security clearance you do not hold, so you stop spending evenings on applications that were never open to you. For each job you keep, it writes a tailored CV from facts you have confirmed, never invented ones. It is free, and it also works inside Claude and other AI assistants through an MCP server.

  2. Why should a person choose arkerah over its competitors?

    Choose arkerah if you want fewer, better applications rather than more of them. Tools like Jobscan and Teal help you polish a CV for a job you already found; LinkedIn and Indeed show you everything and leave the filtering to you. arkerah does the finding and the filtering: it reads each posting for requirements that would rule you out, ranks the rest against your profile, and explains why each job fits. The CV it writes for a job uses only facts you confirmed, so nothing in it can embarrass you in an interview. It is free during early access, with no credit card and no paid tier.

  3. How would you describe the primary audience of arkerah?

    Professionals looking for a corporate job in the Netherlands, Belgium, France, Germany or Spain, especially internationals and expats. They often speak English plus one or two other languages, may need visa sponsorship or hold a nationality that some employers exclude, and are tired of applying to postings that were never open to them. Typical users are mid-career people in finance, consulting, operations, tech and marketing who want a short list of jobs they can realistically get, and a CV tailored to each one.

  4. What's the story behind arkerah?

    arkerah was built in The Hague by a small team who had lived the problem. Looking for a corporate job in Europe as an international meant reading hundreds of adverts to find the few you could actually get, because the deal breakers (a required nationality, a security clearance, a language you do not speak) are usually buried halfway down the posting. We started by collecting and reading the postings ourselves, measured how often those requirements appear, and built a profile and a ranking on top so a person sees only the jobs that are genuinely open to them. The tailored CV came next, with one rule: it may only use facts the person has confirmed.

  5. Which are the primary technologies used for building arkerah?

    • TypeScript and React, with React Router in framework mode for the web app
    • Vercel for hosting and serverless functions
    • PostgreSQL on Neon, with pgvector for semantic matching
    • Python for the job data pipeline
    • Large language models for reading postings and writing CVs
    • The Model Context Protocol (MCP) to expose arkerah inside AI assistants

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Is arkerah good? This is an informative page that will help you find out. Moreover, you can review and discuss arkerah here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.