AI Resume Screening for Recruiters
AI Resume Analysis:From 100 Candidates to 3 Finalists in 2 Minutes
In plain English
Recruiters buried in applications can use Resume Rank, from Guillaume Coudreuse, to shrink a large pile of candidates to a short list of finalists. The AI reads the resumes against the job and does that sorting very quickly. Recruiting teams pay a subscription because reading every application themselves takes far too long. The AI does most of the reading, the sorting, and the billing. Guillaume still checks quality, helps those teams, and keeps a human involved when a hiring choice should not rest on a score alone.
~$330 MRR; $210 verified revenue last 30 days (TrustMRR/Stripe, Oct 25, 2026)
Operator: Guillaume Coudreuse
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
OpenAI API ↗LLM / vision
Chrome Web Store ↗Extension distribution
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Parse the job post and the user's resume.
- AI tailors materials; user approves before sending.
- Subscriptions during the job search.
- SEO and career communities.
What's automated vs. the human 15%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
AI Resume Analysis:From 100 Candidates to 3 Finalists in 2 Minutes
Operator: Guillaume Coudreuse. Category on TrustMRR: Recruiting & HR. Founded: 2025-08-16. Website: https://www.resumerank.io/en
Realistic income
TrustMRR (checked Oct 25, 2026) shows about $330 MRR and $210 in Stripe-verified revenue over the last 30 days, $1,620 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Users churn once hired.
- Must stay truthful — no fabricated experience.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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