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Nakul Kejriwal
Nakul Kejriwal

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I built a fully automated outreach workflow using n8n — no manual emailing anymore

Right now, I’ve just built a small, lightweight workflow that:

Scrapes the lead’s website

Extracts their services, tone, pain points, and opportunities

Generates a short, clean outreach email (subject + body)

Avoids fluff and robotic paragraphs

Works nicely for small batches of leads

It’s not some giant “at scale” system yet — this version is more like a compact prototype that shows what’s possible.

But even with a small setup, the surprising part was how much context gets ignored in normal outreach.
Most people send emails without even checking what the business actually does.

After using this, the emails feel way more natural and relevant.
Honestly, it feels closer to what outreach should’ve been from the start.

How this could evolve into a scalable system
If someone actually wanted to use this for high-volume outreach, there’s a bunch of ways it can be upgraded:

Parallel processing so hundreds of leads can be handled at the same time

Better enrichment before email generation (industry, revenue, services, social footprint)

Persona-based email styles instead of one generic format

Real follow-up sequences that adjust based on replies

Caching & rate limiting so you don’t overload crawlers or APIs

Brand-specific writing style so it genuinely feels like the agency wrote it

The prototype already shows the value — scaling it is just about adding smarter layers, not reinventing the whole thing.

If someone wants to use something like this for their agency
Even the small version works well for:

Web dev outreach

Automation/AI agencies

B2B service agencies

SaaS product outreach

Lead-gen teams doing manual emails

It ensures the message actually reflects the lead’s business instead of sounding copy-pasted.

If anyone’s exploring similar experiments or thinking about adapting this for their agency workflow, happy to talk about what I learned building it and what the scaled version could look like.

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