CEO @ Rush, DevriX. Scaling eCom between Woo, Shopify, and Amazon. Investor, SeedBlink Ambassador.

I lead DevriX, an embedded execution unit that implements and operates durable operating systems for PE-backed mid-market companies, and Growth Shuttle, a market intelligence and advisory firm focused on execution, systems, and operating leverage in the mid-market.

In addition to building and operating these businesses, I engage selectively and fractionally as a Technical Value Creation Advisor, supporting sponsors and management teams with post-acquisition execution, systemization, and operating resilience.

My role is not to replace leadership teams or take on day-to-day operations. It is to design and govern execution systems that reduce operational risk, improve throughput, and ensure value creation initiatives hold under scale.

Areas of focus:

- Post-acquisition execution drag that delays or erodes value creation
- Automation and system resilience across GTM, operations, and reporting
- Agentic workflows that reduce manual dependency and execution fragility
- Fragmented tooling and data that undermine decision velocity
- Scaling execution without proportional headcount growth

How this work is delivered:

1. Execution frameworks and operating cadence are designed at the portfolio level
2. DevriX serves as the execution engine implementing these systems inside portfolio companies
3. Technology is applied pragmatically, with automation and agent-based workflows introduced only where they materially improve stability, speed, or visibility
4. Engagements are structured as long-term retainers aligned to execution durability, not short-term projects

Background:

> 15+ years building and scaling technical and go-to-market organizations
> 20+ years in enterprise engineering and strategic consulting
> Founder and operator of a 40-person consultancy delivering complex execution across B2B SaaS, platforms, and data-heavy businesses
> Ongoing work with PE-backed companies in the $30M–$500M+ range
> Active angel investor with a focus on infrastructure, operators, and execution-first businesses

Mario Peshev

Growing MRR of B2B SaaS companies via affiliate marketing | Growth Manager @ Reditus | T500 | Reforge '24 🤘

Hi there, welcome to my profile!

Currently building Signalbase, a real-time signal provider helping GTM and RevOps teams be the first to reach out when a signal occurs.

Because let’s face it, creating firmographic-first lists and hoping for intent later simply doesn’t work anymore. Prospecting isn’t a filtering exercise as 95% of your market is not ready to buy, but signals can help you see who is about to be.

We help teams spot real intent signals before anyone else does and plug those signals straight into your existing GTM stack, so your workflows trigger when the market’s ready, not when it’s too late.

You will want to use Signalbase if: 

1. You want a healthy pipeline with active companies
2. You seek verified signals to feed your GTM workflows
3. You don't have time to learn Clay or the money to hire someone to do it for you

Ready to discover some accounts with real-time intent? 

Give Signalbase a try, no card needed!

Talking about signal-first GTM and data which you will use to feed your workflows with

Georgi Furnadzhiev

Building Signalbase in public to $1M ARR

👇 Here are a few lessons from this week 👇 

1. Founders should not automate everything, at least not so early in their journey! 

Yes, I said it as perhaps too many of us think about designing shiny GTM systems rather than doing what's needed for you to survive today

While everyone talks about automation, I’m still sending ~200 messages manually and doing support 24/7 as I need to feel the friction to get better with every single day 

I need to see where people hesitate, what objections repeat and what wording makes someone reply on a Sunday afternoon and jump on a call to evaluate us.

Honestly, why even worry about scaling something which may not even exist down the line???? 

By far the hardest part is also to remember that your journey is not "theirs" :) So focus on your own resources and timeline

2. Don't underestimate the importance of resource allocation

If you wait for something to address the bottlenecks within your business, you are a dead man walking

I learned to challenge what's currently in place, as only then can you experiment and move the needle with learnings.

Guess what? We set an experiment exactly 22 days ago, and that thing starts to slowly pay off, shaping the slightly different direction of the company.

Many VCs claim that speed is key, but perhaps we need to talk more about the speed of gaining new learnings and iterating upon them.

Radical choices always seem to be the hardest right now, but they can save you in the long run.

3. Learn from others ahead of you 

A few weeks back, I spoke to another founder of a data product and what he simply said saved me 4 years of struggling. 

Because finding PMF and that repeatable use case is not an easy job, but we are getting closer with every passing day.

Right now, we are still in a state where we get destroyed by feedback and at times, it actually feels shameful to be in the call.

Yet that exact same feeling means that people care about what you are building and the direction that you are heading to!

Shall we take a realistic look at the situation? 

The roadmap is clear, the vision is clear, the pipeline for high ACV deals looks good...

We just need to keep on hustling and showing up just like the live pre-verified data in our dashboard 😉 

That's it for today, looking forward to crushing the new week!

Time to ditch the old databases with stale data and find the real movement so you can be the first to reach out.

👉 try Signalbase

API for real-time signals at scale | CEO @Signalbase

Wrapping up month 4 of building Signalbase in public to 1M MRR

Trust me, this one got the best of me...

Believe it or not, everything that we did in the past suddenly stopped working and we got stuck BIG TIME.

It felt like it just didn't click, no matter how hard we tried. (the nightmare of every founder)

Luckily, we remained hungry for learnings and the market showed us a new direction, which made us finally discover that sweet repeatable use case.

I remember talking to Iron Brands and Adriaan van Rossum about it at the beginning of the month: 

"I am dedicating the entire month to exploring that ICP" and it worked as I had a record of 6 high ACV calls in one day. Pipeline is growing nicely at the moment too! 

We also managed to bring life back to our biggest deal that we lost back in December (The very optimistic me thought we could close it in 2 weeks of building 🤣) 

All while still getting a few customers a day via the PLG motion, which we were also improving in the meantime, on top of training our own LLM models, as signal verification ain't a joke! 

2 few things that I am extremely proud of 🧡

👉 Shipping the biggest quality update within our 3-step verification process
👉 Making our first full-time hire 

March will be huge, let's survive!

Month 5 of building Signalbase in public to $1M MRR 

Weekly product update 👉  We shipped A LOT of code over the past 4 days 

🧡 Core scraping and validation process upgrades
🧡 Taking the first step towards signal stacking 
🧡 Shipped the beta for the hiring signal
🧡 Introduced new filters for the job changes
🧡 Rebuild completely the M&A signal
🧡 Introduced a self-sustaining investor and company databases

Now that's what I call building a sick product! 

Extremely proud of the boys Tadas Gedgaudas & Adriaan van Rossum for pushing the limits and keep on questioning what's possible 👏 

If you are tired of feeding your systems with stale accounts, this is your sign to refresh them with signals sourced within a minute

STOP killing your SDRs right now.

If you're an in-house GTM exec betting on “AI replacing humans,” you might be slowing your own pipeline.

To prove you wrong, I had the absolute pleasure to take a deeper look inside Clay’s actual GTM engine with Everett Berry 🐐 

While everyone keeps shouting about “AI SDRs are replacing humans", the winning companies are surrounding their top performers with the most advanced automated systems

Here’s what’s cooking inside the episode👇

 🟧 How you should think about building your in-house GTME team
 🟧 Clay's 4 main signals that helped them to scale before being integrated within the platform
 🟧 The biggest mistake they made while scaling their signal engine
 🟧 Why data quality quietly kills most outbound teams

and of course a ton of nerdy battle-tested tips for the hands-on practitioners out there! 

If you're building a signal-based GTM engine, rethinking your SDR team, or wondering how automation should actually fit into your stack…this one’s for you

Don’t kill your SDRs yet, let’s get practical!

Finding recently hired execs across the world has never been easier 🤯 

We just shipped the new company country and city filters, which enable you to find the right people at the right time within the right location 

All of this is also available via API 👇  

Let's build your first signal-based list Signalbase

The friday shenanigans are here to stay, and so are your evergreen signals 🕺

Believe it or not, you do need them as every piece of context helps you narrow down your list, which also increases your probability of success

Let's take the fundraising signal as an example. Once an org secures their round, you can expect them to: 

👉 Invest in new features or optimise current ones (great if you are selling data) 

👉 Expand to market or simply add another location within the same country (great SEO & office management solutions)  

👉 Hire a new key exec or face more job changes (great starting signal for all vendors) 

and the list of hypotheses continues further, which helps you to layer an additional custom signal on top of your. 

Isn't it obvious that we all need to help the SDRs to talk only with people who have a budget right now? 

No need to spend 20K in complex enrichment chains, just build your first signal-based list under 2 minutes with pre-verified funding, M&A and job changes data at scale 

Happy Friday! Signalbase

You know that you are building a great product when one of the biggest GTM agencies hypes you up 🤝 Understory

Huge shoutout to Naufal Nugroho 🌲 and the rest of his team for supporting us since the second month of our journey! Deeply appreciating you folks, the product won't be the same without your feedback.

These guys really know the new rules of the GTM game, so if you are building your signal-based engine from scratch, make sure to hit them up.

Signalbase is the biggest cheat code for 2026 when trying to be the first one to reach out to PE investors while hunting for M&A deals at scale. 😎 

Let's build your first signal-based list under 2 minutes 👇

Claude Code is officially the next big shiny thing! 🍻 

Don't get me wrong, it freaking works when you try to build a solid list and many of our own users started integrating the API directly into it 

But since all of these other vendors are simplifying access to the data, you need to take a look at the bigger picture

Where is the data coming from?
How fresh is the data? 
Is this dataset validated and can I see the sources? 
How do I trust their data?  

If you skip asking those, everything becomes like a black box filled with your hopes or success.

That's why we are building Signalbase differently, as we will only verify and show you accounts with real funding, acqusition or job change signals behind them in less than a minute ago.

Bigger data aggregation layers don't care about data quality, but we do 🫡 

Find Tanay's actionable use case covering Claude Code x Signalbase in the comments 👇

Just because someone is wearing red underwear..doesn’t mean you should mention it.🤷‍♂️  

Yet that’s exactly how most teams use intent signals 

They see one trigger, maybe two, and immediately start reaching out like it’s a green light. The result? “Intent signals don’t work.”

But that's so far away from the truth as you simply don't know how to build your signal-based system  😉 

Come join me for the latest episode of My First Signal, where I had the absolute pleasure to sit with Bill (SalesCaptain) to understand what it actually takes to build a repeatable signal-based GTM engine

*I think this is a better intro than a Greek and a Bulgarian sitting in a room 🤣 *

Here’s what we actually broke down in the episode:
🟧 Why testing 1–2 signals is a guaranteed failure
🟧 A harsh reality check for all GTM executives 
🟧 Sales Captain's way of introducing a 3-layer signal funnel
🟧 The importance of the “language-market fit” concept most teams ignore

And of course, a little lesson for vendors to not be so explicit with their signals! 

If you're looking to build a signal-based GTM engine in 2026, this one might save you months of hitting your head against the wall

Let’s get practical!

What if most of your “intent signals”… are just an illusion?

Call me crazy, but indicating that a lead smiled at you should not be part of your CRM 🥴 (yes, history knows these examples) 

While building Signalbase, I kept seeing the same mistakes being repeated over and over again.

👉 Not using evergreen signals to craft the first versions of your lists
👉 Treating all market shifts with equal weight
👉 Jumping on every like or comment 

The result?  Burning out your SDRs while reaching out to the wrong people

Come join me on the 11th to discover even more mistakes and so many more hard learned lessons when sharing the stage with Zeynep (CompanyEnrich) 

We are about to go crazy with this one, make sure to register below!

CEO: Is this a real lead or not? 🤷‍♂️ 

Now that's a dangerous game to play and if you feel overwhelmed by all of the noise out there, this one is for you 👇 

Till this day, it's incredibly funny to see how the landscape pushes social engagement as the ultimate source of intent while completely missing out on the whole context per account 

The number of times history knows SDRs sitting in a room talking to someone who is eventually going to waste their time is honestly ridiculous. 

👉 That's why you are burning out your GTM team
👉 That's why you see such low response rates 

and that's why competitors are closing the right deals in front of your eyes!

Come get a grip on your signal-based GTM strategy at 5 PM CET today with our friends at CompanyEnrich (Zeynep Serra Avan)

Workflows, battle-tested insights and most importantly fun! As we are all done with the boring webinars out there 

Chat later!

Catching leaked news one time is miracle, but catching it twice is a system 🫡  

Once again before the press and any kind of official announcement. 

Signalbase is just getting scary good after the new verification & sourcing updates in place! 

While majority of GTM agencies and in-house teams swim in stale data, Signalbase only displays companies when real change is happening 👇

- Funding rounds
– Job changes 
– M&A activity
- Hiring (yes, we finally shipped it!)

+ we now have a fully self-sustaining or simply put growing investor database driven by the fundraising signal itself

All of this captured in less than a minute ago when it’s publicly shared (or according to this case way before that! 👀)

It's time to act first, not watch competitors close deals in front of you.

👉 Try the new Signalbase

Too many GTM teams undervalue how complex scraping signals really is.

They think: “Just scrape it.” or “Just pull it via API.” or “Just add another data source.”

When building Signalbase, I came to realise that scraping is maybe 20% of the problem. The other 80% is what breaks quietly in the background while your product keeps serving bad data to your users.

To actually make signals usable inside your GTM workflows, you need:

1️⃣ Continuous source monitoring across hundreds of sources 
2️⃣ Multi-layer verification so you're not passing recycled data downstream to your users 
3️⃣ Deduplication logic that doesn't collapse at scale 
4️⃣ Schema drift handling when sources change structure without warning 
5️⃣ Backfills and uptime guarantees your product can actually depend on 
6️⃣ An 80%+ accuracy threshold before a single signal reaches your platform

Without these verification and refreshment layers, you’re just automating scraped assumptions.

With proper verification, signals become reliable enough to drive outbound, enrichment, and routing.

Your GTM stack doesn’t need “more data.”
It needs a signal infrastructure beyond simple post engagement

Signalbase

Most GTM teams destroy the mailboxes of their ICP right after a single signal lands in their workflow

Job changes. Website visits. G2 reviews. Then they wonder why nobody replies. 🤷‍♂️

The uncomfortable truth?

To make your message really stand out you need to find YOUR custom signal and use it as the ultimate competitive advantage. 

We are talking about that one signal that no competitor is tracking. The one tied directly to the pain only you can solve on top of a list full of already available context

That's exactly what we unpacked in Ep #8 of My First Signal with Kevin White  (Scrunch), representing one of the many seasoned marketing-led GTM leaders building signal-based engines out there!

Here's what we got into 👇

🟧 Why ABM ≠ signal-based GTM (and where teams keep getting this wrong) 🟧 How to find your bespoke signal through jobs-to-be-done research 
🟧 The intent spectrum framework — where to start so you're not overwhelmed 
🟧 Why personalization without relevance is just noise 
🟧 What "right person, right message, right time" actually looks like in practice

If you are a GTM exec lost in the journey of discovering their money-making signal sitting on top of their evergreen ones, then this one is for you 👇 

Let's get practical!

3 signal-based prospecting use cases built from scratch
7 cost-effective ABM tactics that simply deliver
1 hour of battle-tested learnings

That's exactly what went down last week during our first webinar with Stefan Repin, destroying some of the biggest ABM myths out there

If you are an in-house GTM exec who looks for ways to move beyond the traditional spray and pray playbook, this one is for you! 

During the webinar, we also: 

🔶 Gaveaway 2 actionable playbooks covering insights from over 600 GTM practitioners 

🔶 Disclosed the copywriting formula to help your messages truly stand out 

🔶 Shared the secret sauce to the success of any signal-based GTM motion 

and lastly showcased how your marketing team can engineer its own signals to create a repeatable growth engine.

Want access to all of the materials and the recording? 

Comment and I will send you everything to help you build your signal-driven engine from scratch 👇

Want to know how all of the AI SDR agents or ChatGPTs for sales teams work? 

Here is what I learned after talking to 40 CEOs of different sales intelligence tooling in Q1👇 

They don’t actually track what’s happening in real time as their data refreshment process looks more like a monthly or weekly shopping spree.

The result for the end user like GTM teams? Making them blast massive campaigns and pray to catch intent by one way or another.

It reminds me a lot of a childhood game called "Broken Phone," as if only 1 person messes up or in that case data point, everything goes wrong.

So in short... AI SDRs buy static datasets with their contact data without any context from other niche API vendors with even more static data. 

What do these datasets tell you?

 👉 Who exists on the market (or at least on paper)
 👉 Where they are
 👉 What do they historically do

But the missing piece to all of these "recommendation" engines? 

 🔶 Who just got promoted or switched their role 
 🔶 Which teams got acquired
 🔶 Who just raised funding

Static data = risk of reaching out to the wrong person
Real movement = getting conversations that actually convert.

Because nobody should waste the time of their SDRs on accounts with no budget or movement behind them. 

Try Signalbase's API

Before purchasing your next API, think of this…

If the vendor claims that their data refreshes every 30 days that's not real-time. That's nothing more than a scheduled download.

And plugging it into your vendor, Clay workflow, or Claude code environment doesn’t make it smarter. In fact, it just makes stale data move faster.

Because a pipeline doesn’t move when a company exists, but when something around that ICP-like org changes.

🔶 A funding round was announced 15 minutes ago
🔶 A VP who switched roles this morning
🔶 An acquisition that just reshuffled priorities

In short, timing + context = opportunity.

Want to know what makes one real signal infrastructure look different?

• Continuously sourcing, not buying chunks of contacts 
• Multi-layer verified as scraping alone can't give you the best results. You also need a verification layer 

More APIs on stale data ≠ better GTM.

It just means you’ll be wrong… at scale.

taplio

The Battle

Mario Peshev

Georgi Furnadzhiev

Followers

Posts

Engagements

Likes

Performance ScoreGeorgi Furnadzhiev's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Mario Peshev

Georgi Furnadzhiev

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);}Georgi Furnadzhiev's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreGeorgi Furnadzhiev's LinkedIn Performance