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๐ป๐ด๐ป ๐๐ ๐ญ๐ฎ๐ฝ๐ถ๐ฒ๐ฟ โ ๐ง๐ต๐ฒ ๐ง๐ฟ๐๐๐ต ๐ก๐ผ๐ฏ๐ผ๐ฑ๐
๐ง๐ฒ๐น๐น๐ ๐ฌ๐ผ๐ ๐๐ฏ๐ผ๐๐ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป
Everyone recommends Zapier.
I recommend what actually works
in production.
๐ญ๐ฎ๐ฝ๐ถ๐ฒ๐ฟ is easy.
๐ป๐ด๐ป is powerful.
The difference matters when:
โ Your workflow has real logic
โ Your data is sensitive
โ Your scale makes per-task
pricing painful
โ You need custom code โ
not pre-built connectors
๐ฎ๐ฐ active workflows running.
๐ต๐ด.๐ณ% success rate this month.
๐ญ,๐ฎ๐ฌ๐ณ tasks automated.
Not with Zapier.
With n8n โ custom code nodes,
self-hosted, built for production.
If you want automation that breaks
on edge cases โ use Zapier.
If you want automation that runs
your business permanently โ
๐น๐ฒ๐'๐ ๐๐ฎ๐น๐ธ.
n8nautomationzapierautomationworkflowautomationN8NZapierBusiness Workflow AutomationSoftware Architecture
The network for creativity
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What actually shipped across every client this month:
A lead qualification bot, an inbox triage system, a contract automation flow, and a hiring screen different clients, same principle: automate the repetitive part, keep a human on anything that needs judgment.
โ Happy to walk through any of these in more detail.
Seeing the lead qualification bot take the first pass on prospects really frees up the team for deeper conversations. The inbox triage does the same for support tickets, letting agents focus on the tricky cases.
Receipts processed without a spreadsheet this month.
Every one logged, categorized, and filed the same day it came in.
โ Want this running for your expenses? Let's talk.
Getting receipts logged and filed the same day wipes out the spreadsheet grind.
How 40 resumes become 5 shortlisted, automatically:
1. Resumes screened against the actual role criteria
2. Ranked by fit, not just keyword count
3. Top matches surfaced for a human to review, same day
โ Want your hiring pipeline running like this? Let's talk.
Good structure. The part I would add is a review queue for low-confidence parsing and duplicate records. Ranking is only useful if the recruiter can see why someone matched and correct the data before it becomes the source of truth.