u/Flimsy_Bridge7841

Client Requirements:

- Goal:

Generate qualified leads (digital nomads) and get them booked on demo calls.

- Product:

(Chrome extension, currently in open beta)

- Target Audience:

Digital nomads (remote workers, freelancers, travelers, indie hackers, etc.)

- Lead Sources:

1. Facebook → events, groups, pages, hashtags

2. Instagram → profiles, hashtags, creators

3. Reddit → communities/subreddits related to digital nomads

4. Web → blogs, niche communities, directories

- Data Required per Lead:

- Email address (high priority)

- Username / profile link (platform-specific)

- Optional: website, bio, niche relevance

- Workflow Expectations:

- Scrape / collect leads from multiple platforms

- Enrich data (find emails, extract useful info)

- Filter and qualify leads (remove irrelevant/low-quality)

- Store clean data in a structured format (Sheets/CRM)

- Send personalized outreach (email primarily)

- Automate follow-ups

- Track responses and demo bookings

- Tech Stack Preference:

- n8n for automation

- HubSpot CRM for managing leads + follow-ups

- Key Concern:

Email deliverability

- Avoid landing in spam

- Maintain domain reputation

- Proper email warm-up strategy

- Safe sending limits and practices

Main Questions:

- Best way to reliably source leads from IG/Reddit/Facebook without getting blocked?

- How would you structure enrichment (especially email finding) at scale?

- What’s the safest outreach + warm-up setup for a new domain?

- Any tools/workflows you’d strongly recommend or avoid?

Would appreciate any insights from people who’ve built similar systems.

I used to spend way too much time every week just doing lead gen.

Like literally:

scraping random lists, cleaning them up, trying to find emails, writing the same outreach again and again… and then forgetting to follow up half the time.

It wasn’t even hard work, just repetitive and annoying.

So over the past few weeks I tried building a workflow to handle most of it.

Right now it:

– pulls leads based on niche/location (been testing with a few different ones)

– filters out useless data so I’m not emailing junk

– finds + validates emails (still tweaking this part)

– writes a first line based on their profile so it doesn’t feel copy-paste

– sends emails + does follow-ups automatically

– pushes everything into a CRM so I’m not tracking things in random sheets

It’s not perfect yet (deliverability is something I’m being careful with), but it’s already saving me a lot of time and makes outreach way more consistent.

I’m still refining this and trying it across different use cases

if someone who’s dealing with the same “manual lead gen grind,” I’d be open to sharing what I’ve built or even testing it on your workflow to see if it actually helps.

How are you guys handling the entire outreach part, would love to know.

I’m currently in the middle of a 30-day sprint, splitting my time between coding my startup's MVP and launching a workflow automation freelance business out of Bengaluru.

​Today I finished building what I think is my flagship freelance offering: a fully autonomous outbound lead generation machine using n8n.

​I want to gut-check the architecture with this community and get some raw feedback on how to price it for B2B clients.

​The Problem I'm Solving:

​Most B2B agencies and founders bleed money and time on outbound:

​Software Bloat: They are stringing together expensive stacks (Apollo + Lemlist + Clay + Zapier) that easily run $500+/month.

​Human Error: SDRs miss follow-ups, fail to personalize emails adequately at scale, and waste hours manually updating CRMs.

​Domain Burn: Hitting spam traps because of poor data validation.

​The n8n Solution (The Architecture):

​I built a single workflow that acts as a full-stack sales rep. The only manual input required is a text prompt defining the target (e.g., "SaaS Founders in London").

​Here is the exact flow:

​Global Scrape: Hunts for target data based on the niche/location inputs.

​Enrichment & Validation: Finds the actual decision-maker emails and bounces them against a verification API to protect domain health.

​Filtering & Scoring: Drops the junk leads and scores the valid ones.

​AI Personalization: Passes the enriched data to an LLM node to write a highly contextual, non-robotic cold email.

​Execution & Wait: Sends the first email. Then, an automated delay node holds the prospect for exactly 3 days.

​Contextual Follow-up: If no reply is detected, it generates and sends a follow-up.

​CRM Sync: Pushes every action, score, and status into a live Google Sheet.

​My Questions for You:

​1. How should I price this?

​2. What are the blind spots in this workflow?

For those of you who have built complex outbound engines, what edge cases am I missing?

​Appreciate any ruthless feedback you have.

​

I’m currently in the middle of a 30-day sprint, splitting my time between coding my startup's MVP and launching a workflow automation freelance business out of Bengaluru.

Today I finished building what I think is my flagship freelance offering: a fully autonomous outbound lead generation machine using n8n.

I want to gut-check the architecture with this community and get some raw feedback on how to price it for B2B clients.

The Problem I'm Solving:

Most B2B agencies and founders bleed money and time on outbound:

Software Bloat: They are stringing together expensive stacks (Apollo + Lemlist + Clay + Zapier) that easily run $500+/month.

Human Error: SDRs miss follow-ups, fail to personalize emails adequately at scale, and waste hours manually updating CRMs.

Domain Burn: Hitting spam traps because of poor data validation.

The n8n Solution (The Architecture):

I built a single workflow that acts as a full-stack sales rep. The only manual input required is a text prompt defining the target (e.g., "SaaS Founders in London").

Here is the exact flow:

Global Scrape: Hunts for target data based on the niche/location inputs.

Enrichment & Validation: Finds the actual decision-maker emails and bounces them against a verification API to protect domain health.

Filtering & Scoring: Drops the junk leads and scores the valid ones.

AI Personalization: Passes the enriched data to an LLM node to write a highly contextual, non-robotic cold email.

Execution & Wait: Sends the first email. Then, an automated delay node holds the prospect for exactly 3 days.

Contextual Follow-up: If no reply is detected, it generates and sends a follow-up.

CRM Sync: Pushes every action, score, and status into a live Google Sheet.

My Questions for You:

1. How should I price this?

2. What are the blind spots in this workflow?

For those of you who have built complex outbound engines, what edge cases am I missing?

Appreciate any ruthless feedback you have.

Hi, I’m looking to connect with B2B marketers. Please feel free to DM me.

Hi, I’m looking to connect with B2B marketers. Please feel free to DM me.