Chrome ExtensionLow Traction

GhostJob

The founder reports 23 MAU, $0 MRR, 0 Chrome Web Store reviews, and no conversions two weeks after the paid tier shipped. The product has a concrete user pain around ghost job postings, but the founder explicitly says demand is not the problem and differentiation is unproven.

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Product snapshot

What it was

GhostJob is a Chrome extension for job seekers who want to assess whether job postings may be stale, reposted, or unlikely to be real openings.

Who it was for

Job seekersApplicants mass-applying to online job boardsPeople trying to avoid wasting applications on ghost postings

Problem / value

The extension overlays a 0-100 Ghost Score on Indeed, LinkedIn, and Glassdoor postings using signals such as posting age, repost frequency, industry baseline, and keyword density.

Core workflow

Score a job posting before applying; Detect old or repeatedly reposted roles; Prioritize applications toward likely real openings; See salary insights from public data in the paid tier

Core dependency

The founder described GhostJob as a Chrome extension that detects ghost job postings with a 0-100 Ghost Score overlay on Indeed, LinkedIn, and Glassdoor.

Product form

Chrome extensionClient-side job-posting score overlayFree tier with daily checksPaid Pro tier for unlimited checks and salary insights

Pricing model

Founder-reported pricing is a free tier with 10 checks per day, Pro at $6 per month, or $59 lifetime.

Competitors or alternatives

The founder named HideJobs as a direct competitor with about 3K Chrome Web Store users at $4.99/monthJob search browser extensions and AI job tools compete for a cost-sensitive, episodic user base

What happened

Summary

The founder described GhostJob as a Chrome extension that detects ghost job postings with a 0-100 Ghost Score overlay on Indeed, LinkedIn, and Glassdoor.

Outcome

GhostJob shows a niche Chrome extension with a clear pain point but no paid conversions after shipping its paid tier.

Core risk

Niche Chrome Extension Had Usage But No Paid Conversion After Launching Pro.

Timeline

  • Founder reported day 19 after launch
  • Founder reported 23 MAU
  • Founder reported $0 MRR two weeks after shipping the paid tier
  • Founder reported 0 Chrome Web Store reviews

Before you build

Why it matters

This is a direct small-extension lesson: a real problem and some MAU do not prove that users will pay, review, or trust the signal enough to upgrade.

Primary check

Validate a paid job-search workflow and repeat use before expanding a browser extension around a narrow pain point.

Checklist

  • Can you name the first buyer segment and the repeated job they need solved?
  • Can you reach that segment without relying on one fragile channel?
  • What happens if the platform, API, or data source changes terms or blocks access?
  • What evidence would disprove the Niche Chrome extension had usage but no paid conversion after launching Pro. risk?
  • For niche extensions, track reviews, activation, and paid conversion alongside MAU.
  • Validate that the paid feature changes user behavior before building a multi-release roadmap.
  • A competitor's apparent user count can suggest demand, but it does not prove your differentiation or price.
  • If the audience is episodic and cost-sensitive, lifetime pricing may reveal more than monthly willingness to pay.

Relevant if

  • You are building a similar chrome extension with public-source distribution risk.
  • Your product depends on another platform, search channel, API, or third-party data source.
  • You need to validate who will repeatedly pay before investing in product polish.

Less relevant if

  • You already control a reliable acquisition channel for the exact buyer segment.
  • The product is an internal tool with no need for public distribution.

Pre-build tests

  • Run a landing-page or concierge test with the narrowest buyer segment before building the full workflow.
  • Ask users to commit to a paid pilot, not only to join a free waitlist.
  • Prototype the highest-risk platform or data dependency first and document fallback options.

Transferable lessons

  • For niche extensions, track reviews, activation, and paid conversion alongside MAU.
  • Validate that the paid feature changes user behavior before building a multi-release roadmap.
  • A competitor's apparent user count can suggest demand, but it does not prove your differentiation or price.
  • If the audience is episodic and cost-sensitive, lifetime pricing may reveal more than monthly willingness to pay.