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RANKLN

Scores a LinkedIn profile across 36 signals against competitors ranking for a chosen keyword, then gives a prioritised fix roadmap.

Actively maintained

At a glanceswept Oct 19, 2026

≈ 4visits/mo

Established · estimate, read Oct 19, 2026

For
professionals like SaaS founders, B2B consultants and recruiters who want their LinkedIn profile to rank in search
Activity
Actively maintainedsite updated yesterday
Used for
  • score a LinkedIn profile against competitors ranking for a keyword
  • find missing keywords in headline, about and experience sections
  • follow a week-by-week plan to improve LinkedIn search ranking
Worth knowingcomputed from what we read · each with its source
  • Launched on Product Hunt on Apr 8, 2026Product Hunt ↗
Alternatives in Careersby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is RANKLN?

    Scores a LinkedIn profile across 36 signals against competitors ranking for a chosen keyword, then gives a prioritised fix roadmap. It is listed in the Atlas under Careers.

  • Who is RANKLN for?

    professionals like SaaS founders, B2B consultants and recruiters who want their LinkedIn profile to rank in search

  • Do people use RANKLN?

    Established: ≈ 4 visits/mo · estimate, 2026-10.

  • Is RANKLN still maintained?

    Actively maintained: site updated yesterday.

  • What are alternatives to RANKLN?

    In Careers, by use: Rate My CV, Commenti, Debriefing, ProfileAudit, Career Luminous, ApplyForMe.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk