🦾Eric Nowoslawski

Founder Growth Engine X | Clay Enterprise Partner

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

There is actually a limit to cold email reply rates.

Knowing this can hopefully free you from testing things that won't matter.

Let me explain.

I have worked with customers in the past that are obsessed with getting the reply rate as high as possible. They think if they send a good enough email, every single person who could possibly see it is going to respond.

We've run tests that show this just isn't the case.

We had the opportunity to work on behalf of Forbes at Web Summit. We had the list of speakers. We had all their emails. We cold emailed them from infrastructure that had warmed up for four months. The pitch was simple: "This is our booth. We want to interview you for Forbes. Book a meeting." And we sent them a link to Forbes.com.

That only got a 30% reply rate. Basically all positive.

When I say "only" 30% — if I were a speaker at an event and Forbes wanted to interview me, I would think the reply rate would be even higher than that.

We also helped a customer email their own customers. We found data that showed they needed a new product, and we could fix the problem for free.

Still only a 10% reply rate.

I say all this because these two examples are pretty undeniably good offers. And they still did not get 40, 50, 60% reply rates.

When you're sending emails, there are so many reasons why somebody doesn't respond. They didn't even see it. It got mixed up with everything else in their inbox. It's just not the right time for them.

When you've run a couple of experiments and the reply rate is staying pretty steady, I would think more about experiments around lists and experiments around offers versus trying to change the copy to see if an AI personalization or a fancier way of saying something is going to move the needle.

List segmentation and changing your offer matter way more.

What experiments have you run that changed your thinking on reply rates?

Founder - Content Marketing Media and Co-Founder - Cobalt Keys. Elite approaches to Cold Email, Lead Generation, AI Agents, and Visibility. Certified @Clay and @Instantly Experts and Partners.

Besides building and launching Signaliz.com, at CMM we are proud to be the only known company globally with certified expertise in Clay, Instantly, Hey Reach, Octave and Maildoso: The five cornerstone platforms that power modern outbound strategy. This unique combination allows us to deliver a fully integrated lead generation, outreach, messaging, and deliverability solution that no other agency can match.

Our done-for-you approach delivers consistent results through:

- Advanced AI and API-powered workflows that adapt to your evolving needs
- Strategic implementation focused on building sustainable growth pipelines
- Data-driven methodologies that prioritize measurable ROI

We've developed other strategic partnerships with industry leaders while continuously developing new collaborations with specialists in outbound video, email verification, and critical lead generation technologies.

Partner with us to experience our unique approach: qualified leads, meaningful meetings, and tangible growth that strengthens your competitive advantage.

Josh Whitfield

I have to admit, when I get excited about something, I can't stop talking about it.

Yesterday Manus AI dropped its 24/7 agent. My guess is Zuck was upset OpenClaw became OpenAI, but who knows. Time to make the new investment (ManusAI) shine. Being part of the Telegram group, it looks like 25,392 of us are already using this new agent, anyway I digress.

Here is a quick report card:

1) It builds very well. Not perfect but pretty damn good
2)You can run parallel agents if you choose
3) It has personality
4) Feels like Claude behind the hood (but maybe Meta)
5) You can train it to access multiple systems (i.e. MCPs, APIs, any connected tools, etc)

The terrifying moment came today when I saw the below. I had to ask myself, did I type this and just forget...Then I realized my agents were keeping each other in check. The "you said you'd resume" and "keep working" part sounds like how I talk to a model. Like a child....man are we moving fast:)

PS: SaaS is coming along much quicker now that I have 24/7 coders and UAT testers....

Founder @ Signaliz & CMM | Building Intentional Outbound Through Our SaaS and Agency

Claude Code got game...but you knew that.

This question is, can we go beginning to end, merge some of the best tools on the planet all while respecting the CRM activity...

This is the future of GTM with Octave, Instantly.ai,..and we are just scratching the surface, thanks to robust MCPs...

What's coming in GTM might alter the foundation a little:

1) Prompt based GTM and entire builds using a model of your choice
2) Less CSVs - more MCP and API included with ease
3) A Claude code like experience, but the ability to execute
4) Data management at scale with easy
5) More time spent on strategic decisions, less time on how to build the table

Can't wait to get this out to the market. We've got something special here at SIGNALIZ:)

Things just got a little easier if you are looking for robust email search, validation, signals, or decision makers.

We have over 2 million calls to our API to date, so excited to open this up to the world.

Appreciate Clay for bringing this to their users.

Feel free to take advantage of the 2K credits to test it at SIGNALIZ.

Of course Claude Code makes things easier, so do 24/7 Manus Agents, GPT, Open Claw, API calls, etc.

We have built Signaliz on top of Openrouter, OpenAI, Claude, Redis, AWS, Supabase, Trigger.dev, React, Node JS, and all the other cool things I can't think of at the moment. 

But there is no easy button for hard work. None of this made the days any shorter.

Over 7 months, here are some real numbers if you want to build something game changing. Sure I can vibe code anything but that doesn't mean it is easy.....or it doesn't require attention to detail.

I am a believer of things changing rapidly, but nothing worth doing is easy. Easy is for those sharing engagement posts with no value thinking with one more like they can change your entire business.

Here is a couple of real use cases for 24/7 agents, now running in Manus AI:

1) Built an agent to monitor every Slack message from our team. We receive communicate a lot, and I'm on a lot of calls. It evaluates if I should respond and proposes a response. It is trained on my gmail, gdrive, openai history, previous slack, etc.

2) My agent reviews my email every two hours, send me the important stuff only. I give it feedback, it gets smarter.

3) Since Monday, I have been running up to six concurrent agents testing code, building enhancements for SIGNALIZ, building out the most robust GTM Agent that ever lived. One that can built entire workflows and run them. These agents have fixed every error, updated GIT, reviewed Trigger.dev and Supabase logs. Yes I have eaten some credits but the ROI and efficiency is next level.

Bottom line, human in the loop agents are real. Mine have done about 200 hours of work this week. We chat all day via Telegram. I have seen my master agent named Sig command the six agents like a general. 

I went with Manus because I've been using them for over a year and believe in the product. Obviously, so does Meta.

The world is moving faster than you think, at least in AI.

I built a team of agents that work day and night and here is some quick observations:

1) I give them tasks via Telegram, they go away and work on it, mother agent "Sig" keeps them going and in check....Earlier last week I saw one have a wow moment and it actually said "Holy Sh*t". Guess it was impressed by my ask:)

2) It was hard to track their productivity, being the relentless workers they are, so I set up a Kanban.

3) Today we have implemented more changes than I can count, though some needed to be redone. I just told them, this isn't very good, think deeper.

Given API access, Skills, Git access, MCP's, agents are still sometimes stupid, but overall they smarter than the average bear.

You are probably thinking...prove it, so I dropped the exemplar below.

Welcome to 2026...the year of the 24/7 agents, Skills, Integrations, and who knows whats next....maybe an island and a cold drink.

OpenClaw launches a 24/7 agent. Hundreds of thousands of users. 

OpenAI acquires it. One builder cracked something big.

Now Manus AI drops a 24/7 agent that does everything OpenClaw can do, but secure, backed by Meta. You can personally run 6 agents at once (more if you choose). One account. Let that sink in.

This isn’t incremental progress. It’s the start of the 24/7 human-in-the-loop agent arms race.

These systems are no longer demos. They’re executing real tasks, replacing real workflows, triggered by a single prompt. And this is just the opening move.

Claude. Grok. Google. Others. Everyone is coming to the table.

We’re watching an inflection point in real time, where persistent agents move from novelty to infrastructure.

If you’re building, investing, or operating in tech, this changes the surface area of what’s possible. Don’t sleep on it.

Serious question considering all the news yesterday...was Anthropic or OpenAI used for the war with Iran. What an interesting time when AI emerges at the forefront of geo-political events in realtime.

PS: Asking as an AI practitioner, not a political question.

taplio

The Battle

🦾Eric Nowoslawski

Josh Whitfield

Followers

Posts

Engagements

Likes

Performance Score🦾Eric Nowoslawski's LinkedIn Performance

Performance ScoreJosh Whitfield's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

🦾Eric Nowoslawski

Josh Whitfield

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}🦾Eric Nowoslawski's LinkedIn Performance

Performance ScoreJosh Whitfield's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance Score🦾Eric Nowoslawski's LinkedIn Performance