Hi everyone. Have really been struggling with sourcing recently. Also over the last few months I've banged my head against the wall manually screening 200+ LinkedIn profiles for every role I open.
I was talking to ChatGPT and figured out a way to cut this in half. Sharing in case it helps (about $5/m):
1. Pull candidate profiles into a Google Sheet — either manually or with a free LinkedIn scraping extension like PhantomBuster (free trial).
2. In a separate Google Doc, write what your ideal candidate looks like for the role — years of experience, must-have skills, nice-to-haves.
3. Sign up for n8n (free) and OpenAI (cents per use).
4. Build a workflow: take each row of the candidate sheet → send it + your "ideal candidate" doc to OpenAI → OpenAI scores them 1-10 and writes a one-sentence reason → score goes back into the sheet.
5. You only call the top 20%. Saves about 4 hours per role.
I really hope this helps 🙏 happy to walk through it if anyone needs. Thanks!