🦾Eric Nowoslawski

I am a direct response outbound lead generation expert. And by that jumble of words, I mean that I leverage cold email to build predictable revenue pipelines for my clients. 

I leverage over 20 databases to merge Firmographic, Technographic, and Persona data to build highly targeted playbooks with my clients. 

I believe we need to arm sales teams with the knowledge of their total Target Addressable Market and teach them how to score that Market for which companies have the most pain and need their solution. 

The best way to do this is to look at public indicators such as open jobs data, employee growth/attrition, social media growth, web traffic, new product launches, employee sentiment, individual employee tech investment, company tech stacks, etc.

With this data, not only are you only messaging with people that you know have a problem that you can solve, you also are armed  with powerful messaging that cuts through the noise. 

I teach sales teams to embrace technology and multiply what is possible per employee.

Founder

2 years of effort went into the Prospeo.io Company/Contact API and this is why it was WELL worth the wait.

2 years ago Jon asked me, "If there were a database that could do anything you want, what would you wish it would do?"

I had a laundry list of ideas from

- Data accuracy and transperancy
- Organization tools for the team
- API capabilities

And then, I didn't hear from them for a little while. We kept using their email finding tool in all our Clay tables as a happy customer of course but I thought they were just focusing on that.

Then Hugo reaches out to me and says, "Hey, we finished the database the way you wanted. Want to have a look?"

I sign in to Prospeo V2 and my mouth is on the floor of everything they built. Good things definitely take time and they crushed it on this one.

I go over my favorite parts in the video down below but here are my favorite features you should check out if you don't watch the video and go straight to the site.

- Data quantity - I did comparisons of searches against Sales Navigator and was extemely happy with the counts that come back for the same filters on people and company searches in sales nav vs. prospeo

- Data quality - Every profile I checked worked at the company Prospeo says that they work at. I tried to be sneaky and check a friend that I know changed jobs a week ago and they already had that in their database.

- Email quality - All emails are SMTP verified with bounceban on top of that.
The API is so great. I just spent the christmas break making a company database we are going to scrap and just use their's.

- When you enrich a person, you get the company data with the API response so you don't have to worry about double spending on companies!

- The platform is so fast to make searches in.

- Your team can visually make searches and then click a button to get all of the JSON of that search to quickly get that search with their API.

I think they are just starting to launch it and I would highly recommend checking it out to help with your company and contact finding workflows. 

We are starting to switch a lot of TAM links internally over to them so we can stop downloading and uploading so many CSVs!

Not paid to post this or anything. 

Just found it last week and thought they did a really great job and other people would like to see it!

Check it out here! 

https://lnkd.in/dJw9eAEy

Founder Growth Engine X | Clay Enterprise Partner

Tomorrow, join me and many other outbound minds to discuss the state of outbound in 2026. (of course focused on cold email because I'm not qualified to talk about anything else). 

We’ll cover the dreaded Gmail AI filter tweet that hasn’t even been rolled out yet that everyone is asking about. 

Deliverability trends we are seeing from sending 7M emails per month on behalf of our customers

The way data is getting more accurate and cheaper and combining this with AI can cheaply laser target your ICP. 

I’ll leave the link to register in the comments. Hope to see you there! 

Vaibhav Namburi
Harris Kenny
Nick Abraham
Wesley Hoang 🛠️♠️
Alex Fine🌲
Christian Oland
Matthew Lucero
Enzo Carasso 🧲

I built a way to monitor your customer's LinkedIn content with a RapidAPI endpoint and Cursor so you can reach out to your ICP and name drop a customer they have heard of. Here's the step by step on how to do it.

I think one of the best ways that we can reach out to an ICP is if they already know of one of our successful case studies. 

You could ask your customer for a referral, but that puts work on them. 

You can monitor who they already know and reach out as if it's a regular message, and the prospect will actually have heard of the social proof you're mentioning. 

To set this up, all I did was give a voice note while walking my dog and Cursor took care of the rest. 

I hope you can even copy and paste this post and give some more context and set it up yourself. 

Step 1

Get the Rapid API endpoint. If you comment "monitor", I'll send it to you. Sorry to play this game but LinkedIn hates external links. 

Step 2

Use the MCP in RapidAPI and connect that to Cursor

Step 3

Explain what you want it to do. 

"Hey Cursor, I want to use this endpoint to build a micro app that I can enter a comma separated list of linkedin companies. I want you to 

1) find all of the posts of the linkedin companies
2) Find all of the people that work at the company and find their posts
3) Pull all of the people that have liked and commented on the posts and filter for XYZ titles and company size. 

Step 4

Add a little bit more to the prompt above about how you exactly want this to work.

Step 5

Enter Plan mode in Cursor. Drop your prompts and watch the plan

Step 6 

Edit/Approve the plan. I was lucky that Gemini Flash got this done in one shot, so I'm hoping I can pass this on and help others use it too. 

Again, comment "monitor" and I'll send it to you but if you don't want to wait for me, searching rapidapi(.)com(user)apibuilderz should help those that want to search on their own!

This workflow I made with Cursor and hosted on Railway saves me 6 hours a week on email deliverability tasks and our customers get much more consistent results from it. 

Over the last 6 months, we really systematized our email deliverability infrastructure. 

No more guessing and then ordering domains that we thought felt right. I built an SOP for everyone that I can give away at the end of the post. 

We would miss customers. Over order for some, under order for others. It was crazy. 

So we got extremely scientific about it. 

We keep all domains marked as status, Active, Insurance, or Cancel in Supabase. 

We always want to keep AT LEAST 50% of our Active daily sending volume in Insurance so that we can always rotate our domains. 

Every Friday, I would use a python script that would get the reply rates of all the domains in our campaigns so I could make decisions of what should be cancelled and what should be rotated from Insurance to Active. 

Once I had the numbers, spreadsheet warfare would begin. 

Making sure that every customer had enough and we didn't cancel too many domains. Numbers wouldn't look right so I'd check them manually. It was a mess.

Now, every Friday, I run this little Preview Global Rebatch and it send me a slack message with every customer, their daily send goal, how many domains are active, how many domains do we suggest to cancel, how many domains I need to buy more of, etc. 

And I hit accept and not only does it change all the statuses in our Supabase, it also pulls all of our customer's campaigns and swaps out the old domains for new domains. 

Easily my favorite workflow for deliverability. 

If you want our email deliverability SOP that goes over how we do this and how we work with Hypertide.io and Zapmail.ai to get it done, comment "primary" and I'll comment it back to you!

Here's the prompt to get you started building your own google maps scraper with Claude code or Cursor. 

One of my favorite things about LLMs and coding is that my team can build things that impact our business and then everyone can use. Bharatt Arorah built this google maps scraper for us and it's been so easy to use. 

Then when someone else on the team wants to add to it, it'd be really easy for them. 

This scraper is built on a RapidAPI endpoint that gives us 3,000,000 requests per month for $100 a month. 

Here's the prompt I'd give for Cursor or Claude Code to figure this out for you. 

First connect to the Rapid API MCP and then run this because it'll ask you to restart. (I don't use the MCP to actually run the code. I just use it to connect to the documentation to help set everything up). 

If you need the list of zip codes don't ask me or your mother for it. Ask Chat GPT literally asking "Do you know of any GitHub repositories that have all of the zip codes in the United States, or any other public ways that you can download that information easily?" and it'll come up, I promise. 

Long Text not optimized for a linkedin post AT ALL. 

Hey cursor, can you explore this Google Maps endpoint and build a plan for me that would be able to create an input where I can say a Google category, and then you'd be able to scrape it?

Here is a file of all the zip codes around the United States so that you have something to parse by. Search every one of these zip codes with my keyword to then find the companies that are in those areas. Build something into it that includes logic that, if a company is in a different business category that is excluded from my results, I want to be able to filter for the category. Let me know if we could exclude the cities and also run multiple category searches in one run. Set up the database schema to pull the zip codes from SupaBase. Literally go one by one doing a search across each of the zip codes. I also might wanna specify that I want to include certain cities, exclude certain cities, or include and exclude states in the future as well. Let's also add the filters for that to be possible as well. 

Hope that helps and provides a good lead gen project for people trying to get into coding with Cursor or Claude code.

Send those companies over to a Clay webhook to have a contact finding waterfall and you're all set!

I have to admit, six months ago I didn't get the point of MCPs.         
                                         
This post is for people who were like me. Also for my employees who are reluctant to start using these tools.                     
                                         
What is an MCP (Model Context Protocol)?                    
                                         
Think of it as a gateway for an AI agent to understand a tool.         
                                         
Instead of asking an agent to read API documentation (it will miss things),  
you connect it to an MCP. The agent figures out:                
 - What endpoints exist                             
 - What payloads to send                            
 - How to actually accomplish your task                     
                                         
Then you ask it to write the TypeScript or Python to make those API calls   
directly.                                   
                                         
Way more efficient. Way fewer tokens.                     
                                         
 My biggest tip:                                
                                         
 We're not actually doing a lot of work with MCPs as in moving data or doing work with MCP.             
                                         
We use them so agents understand the API documentation better.         
                                         
The MCP helps the agent learn the tool. Then we have Claude write actual code that calls the APIs.                                
                                         
That's the workflow:   
                           
 1. Connect MCP                                 
 2. Agent learns the tool                            
 3. Agent writes the automation code                      
 4. You run the code directly                          
                                        
 If you've been confused about MCPs, hopefully this helps.

A couple of customers have asked me what I think about this announcement from Google and here's my humble prediction. 

I'm not going to be naive and say that this won't have any affect on cold email. But also, even the video doesn't explain very well what this will do. 

I think that there is a best case scenario and a worst case scenario. 

Best case - this is an overall summarization of the email meaning that the preview text we optimize our first lines for today won't be as important as optimizing for how the summary will come across. 

A recipient can see the offer (maybe even stated cleaner than what an average copywriter can do) and choose to open or disregard. 

Worst case - it becomes a new spam filter and labels all external emails you haven't received before as spam with no preview. 

I truly think the actual outcome will be somewhere in the middle and lead magnets will become more and more important so you aren't just pitching calls and getting hung up in the spam filters. 

Truly, no one knows but it's not in my inbox yet but excited to see it when it is so we can start playing with it and see how it affects the channel.

Mohan ‎Muthoo 💬 🇬🇧 🌍

Founder @ Spring Drive | Driving Growth for B2B SaaS/AI | Multi-Award Nominated | 4th Ever Official UK Clay Expert | 👉 springdrive.co

Hey there 👋 I'm the Founder at Spring Drive - we drive growth with GTM Engineering, AI & Outbound for B2B SaaS and AI companies.

This means:

- Running Scaled Outbound Campaigns (Email + LinkedIn) with GTM Engineered data
- PLG Self-Serve Motions to drive signs that turn to paying users
- Cold calling with GTM Engineered Signals and Intelligence

🛠️We've worked with B2B across industries, Y-Combinator backed startups, globally recognized SaaS brands featured in Forbes and the Apple Store, B2B ecommerce companies, and everything in between.

We have a ton of case studies and accolades, having been nominated twice for our work (Finalist in the Standout Use of AI category at the UK Digital Excellence Awards, and for the GTM10 Awards), plus been recognized as Official Expert Partners by numerous top companies in GTM and Outbound.

Head to 👉 springdrive.co ORDM me, I will reply 💬

Mohan ‎Muthoo 🇬🇧

We didn't turn off campaigns over the holidays.

It's a good thing because we still booked sales meetings.


For this client, we sent 6 sales meetings over that period (one booked on Boxing day).

But this Monday (5th), everyone came back and we started rocking again full swing.

5 meetings booked in 1 day for the same client.


Q1 started already, hope everyone's booking :)


If you'd like to apply for a pilot to work with Spring Drive, head to the website springdrive(.)co and book a call.

Mohan Muthoo

Founder @ Spring Drive | Outbound & GTM Engineering for B2B SaaS/AI | 4th Ever Official UK Clay Expert | 👉 springdrive.co

Irrelevant personalization works.

There's a few nonsense points on LinkedIn about personalization.


You've probably seen a lot of 'relevance' is what matters.

But this space moves quickly.

Relevance is actually tablestakes at this point.


The fact your personalization is relevant does not make it interesting.

yer dull m8.

This is why people who say 'irrelevant personalization' is bad actually don't understand what's happening.


Sales is about psychology.

The reason why irrelevant personalization is 'bad' is because of the way its been traditionally used.


Which is as a disguised opener to reveal a pitch.

It's inherently deceptive.


I can use a door to let someone in or shut someone out.

The door isn't the problem.


But irrelevant personalization, such as some cool things in their location, where they went to school, or maybe something from a photo on their socials...

Can actually be how you build repour where everyone else fails.

You just have to do it correctly, which means 2 things:


1. Structure - don't use it as a way to open a gate to a business offer. That's deceptive.

It should a BY THE WAY.


2. You need to get good at using tools like Clay and prompt engineering to make how you frame those statements genuinely authentic.


'Saw you went to Plymouth University that's so impressive!'

Wtf.

But, saying:

'Omg, I was at Plymouth uni in 2009, did you ever go to Portland's Pizzeria?? I was there every thursday lol'


Irrelevant personalization is HIGHLY effective, if you understand what it is, why it matters, and how to deploy it.


Don't believe all the structural guru stuff on LinkedIn.

Actually some of its good, but a lot of it is dated.

If you are thinking of getting Clay you can sign up using my link and get an Extra 3k credits.

completely forgot I had this lol.


here u go:

Open article: Clay | Go to market with unique data—and the ability to act on it by clay.com

Clay | Go to market with unique data—and the ability to act on it

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