Recruiting

Analyze resumes and LinkedIn profiles with an agent pipeline

A builder made a recruiting pipeline that parses resumes and profiles, scores candidates and stores embeddings for search.

By A Reddit user on Reddit · Posted · Added Oct 16, 2026

Difficulty
AdvancedOur rating
Time to build
Not reportedOur estimate
Monthly cost
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Revenue
Not reportedWe only show revenue the source states
Engagement
No public countThe source shows no number

What they did

The stack combines n8n, OpenAI, RapidAPI, Pinecone, Bubble and StirlingPDF to analyze, qualify and process candidates.

How it went

Shared as a detailed build write-up.

Worth knowing

Respect data-protection rules when storing candidate data.

Builder recipe

Our own starting point, written from the source. Adapt it to your setup.

Stack

  • n8n
  • OpenAI API
  • Pinecone
  • StirlingPDF

Steps

  1. Define your criteria.
  2. Let the agent search, score and draft.
  3. Review everything before it is sent.
  4. Track outcomes.

Starter prompt

Extract skills, years per skill and last 3 roles from this resume as JSON, then score against the role requirements.

Tags

Agent n8n ChatGPT
Industry Recruiting

Read the original

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