Ferenc Fekete

Helping non-tech Founders transform Ideas into SaaS products @ VeryCreatives | Product Agency, SaaS & MVP Development | Startups

I've watched many startup founders fail at the same exact point: turning their validated idea into actual software.

They waste months (or even years):
→ Trying to hire the right developers
→ Burning cash on poor planning and execution
→ Second-guessing every technical decision along the way

Meanwhile, competitors move faster, investors demand traction, and the pressure to deliver keeps building more and more.

After watching this pattern destroy countless promising startups, we built VeryCreatives to fix it.

But here's what makes us different:

We don't just build your MVP and disappear. We're product people who think like founders, not just developers who code to spec.

👉 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We start by pressure-testing your assumptions before writing a single line of code. If the market doesn't want it, we'll tell you straight.

👉 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗿𝗼𝗺 𝗱𝗮𝘆 𝗼𝗻𝗲: We build like it's our own startup, obsessing over user experience, scalability, and investor readiness from the first sprint.

👉 𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗲𝘅𝗶𝘁 𝗮𝗻𝗱 𝗯𝗲𝘆𝗼𝗻𝗱: Whether you're at napkin sketch or Series B, we've been there. We've helped founders go from zero to acquisition, and we stick around for the entire journey.

For the past 14 years, we've built products for venture-backed startups, fast-growing scale-ups, and globally recognized brands like Red Bull, Nestlé, and Philips.

The startups we work with have:
✅ Launched investor-ready MVPs in under 90 days
✅ Secured funding from top-tier investors and VCs
✅ Scaled from first users to thousands of paying customers
✅ Successfully exited to strategic acquirers

Got a SaaS idea that's been sitting in your head for months? 
Let's map out your 90-day path to launch → https://verycreatives.com/book-a-call

Co-Founder

At VeryCreatives, we are a team of expert developers who create powerful SaaS apps that solve problems and drive growth for founders with initial funding. We believe in empowering our clients with innovative software that helps them achieve their goals and stand out in their industry.

Our audience consists of driven and ambitious founders who have just received initial funding for their startup. They are looking for a software development partner who understands their vision, can help bring their ideas to life, and deliver results that will help them achieve their business goals.

Founders with initial funding have a pressing need to build their product quickly and efficiently to maximize their chances of success. At VeryCreatives, we understand this need and are dedicated to creating high-quality SaaS apps that not only meet their requirements but also exceed their expectations. We are committed to delivering value and results that help our clients succeed.

VeryCreatives stands out in the market for our ability to deliver high-quality, innovative solutions that meet the needs of our clients. Our unique approach to software development, coupled with our expertise and commitment to excellence, is what drives us to provide outstanding results to our clients.

Industries our clients operate in, using the SaaS products we've built: 
- Digital marketing, Event marketing & Influencer marketing SaaS
- Foodtech & Delivery 
- Fintech, Banking & Investments
- 2-sided marketplace platforms
- Agriculture & Livestock management
- Packaging compliance & Waste

Markets we cover: UAE, EU, UK, US.

The UK is shipping world-class SaaS 🇬🇧

Here's 20 UK startups and the core feature that makes each one worth watching:

Attio (Nicolas Sharp) → AI-native CRM that auto-enriches contacts in real time. ARR quadrupling YoY.

Synthesia (Victor Riparbelli) → Text-to-video with 230+ AI avatars in 140+ languages. $180M Series D.

PolyAI (Nikola Mrkšić) → Voice AI that handles live customer calls in 45 languages. Backed by Nvidia.

Xelix (Paul Roiter) → AI agents for Accounts Payable. Processes 115M+ invoices per year.

Granola (Christopher Pedregal) → AI meeting notepad. Auto-generates structured notes and action items from calls.

Vertice (Eldar Tuvey) → SaaS spend platform that auto-negotiates your renewals. 437% growth rate.

Signal AI (David Benigson) → Real-time monitoring across millions of sources for reputation and regulatory risk.

Plain (Simon Rohrbach) → API-first support where AI agents resolve tickets autonomously. Used by Vercel and Cursor.

Griffin (David Jarvis) → UK's first full-stack Banking-as-a-Service with a full banking license.

Primer (@Paul Anthony) → Single API connecting 100+ payment processors with no-code routing.

hyperexponential (​Amrit Santhirasenan) → No-code pricing models for commercial insurers. Backed by a16z.

Raycast (Thomas Paul Mann) → Keyboard-first productivity launcher. 800+ app integrations with built-in AI.

StackOne (Romain Sestier) → One API to connect 200+ enterprise SaaS integrations. Built for AI agents.

Lindus Health (Meri Beckwith) → Runs full clinical trials 3x faster than traditional CROs.

Metaview (Siadhal Magos) → Auto-generates structured interview notes from live conversations. Used by Sony and Brex.

Sylvera (Allister Furey) → Satellite imagery and ML to rate the actual quality of carbon credits.

Robin AI (Richard Robinson) → LLM trained on 2M+ contracts. Reviews and negotiates legal docs for UBS and Pfizer.

BVNK (Jesse Hemson-Struthers) → Stablecoin payment infrastructure for cross-border business transactions.

Shop Circle (Luca Cartechini) → AI-powered suite for Shopify merchants. Inventory, SEO, analytics in one dashboard.

Tessl (Guy Podjarny) → Forces AI coding agents to write specs before generating code. Prevents hallucinations.

Every one of these started with a sharp product decision: solve one problem exceptionally well, then expand.

What UK startup has caught your eye recently?

Launch products customers love, then exit | 5x exits, $100M ARR created for founders

I’ve developed products for 5x exits

Shock: Don't hire a developer in 2026

Every week, a non-technical founder asks me: "Where do I find good developers?"

My answer: "Why do you need one?"

Usually they don't. Not yet.

Before you hire a developer, you need:

1. Validated problem

→ Real people willing to pay. Not just "interested."


2. Clear scope

→ What are you building? What are you NOT building?


3. User journey mapped

→ Every screen. Every interaction. Every edge case.


4. Prioritized features

→ What's V1 vs V2 vs never?

Without these, you'll waste $15-20k per month while you "figure it out."

If you DO need a developer:

Red flags:

→ Promises fast/cheap (you'll pay later)
→ Doesn't ask about your business model
→ Jumps straight to coding
→ Can't explain trade-offs in plain English

Green flags:

→ Asks more questions than you expect
→ Pushes back on features
→ Talks about users, not just tech
→ Shows similar work (not just "we can do that")

The best developers will tell you what NOT to build.

"The project will cost $50k." - Developer
 
3 months later: $120k. Sh*t. What happened?

Every non-technical founder has heard this: "It will take longer than expected."

But you can prevent it (with some high-school math)

Here's how to build an accurate cost forecast:

Step 1: Break it down absurdly small

Not "user authentication: $5k"

But:

→ Login page design: $500
→ Login backend: $1k
→ Password reset flow: $1.5k
→ OAuth integration: $2k
→ Security testing: $500


Step 2: Add complexity multipliers

→ Simple feature: 1x
→ Medium complexity: 1.5x
→ Complex/uncertain: 2x
→ Integration with third parties: 2.5x


Step 3: Add the "unknown unknowns" buffer

→ New team: +30%
→ Existing team, new domain: +20%
→ Experienced team, known domain: +10%


Step 4: Phase the budget

→ Phase 1: Core features (40% of budget)
→ Phase 2: Secondary features (30% of budget)
→ Phase 3: Polish and optimization (20% of budget)
→ Buffer: (10% of budget)


Step 5: Define cut points

If Phase 1 goes over, what do you cut from Phase 2?

Decide BEFORE you're in crisis mode.


The rule:

If you haven't scoped it in detail, you haven't scoped it.

And if you haven't scoped it, any number is a guess.

So…

Maybe pause that developer project.

Mixpanel is the only company I've seen do this 🔥

They’re putting client logos directly on each pricing tier. 

I think this is smart for a few reasons:

1. Trust at the decision point

You're comparing plans. You're about to pick one.

That's exactly when you see the logos. Trust increases right when it matters most.


2. Self-comparison kicks in

When you see "Uber uses the Growth plan" and "CNN uses Enterprise," you start asking yourself:

→ Which companies are like mine?
→ What plan are they on?
→ Should I be on that too?


3. The proof matches the buyer

→ Startups see startup logos on the Starter tier.
→ Enterprises see enterprise logos on the Enterprise tier.
→ Each plan has its own social proof. Not one generic "10,000 companies trust us" claim.

Small detail. Probably moves conversions more than most people realize.

Have you seen other SaaS companies doing this?

I've been part of 5 SaaS acquisitions.

Here's what buyers discuss privately:

When a company gets acquired, founders focus on revenue, growth metrics, and the pitch.

But after the presentation, when the acquirer's technical team goes back to their office, the conversation shifts completely.

I've seen this happen five times now. The questions they ask each other are almost always the same:

→ "Can we maintain this code without them?"

If the answer is no, the price drops or the deal dies. One of our clients got acquired by Adesso ($1.3B IT company) and one of the deciding factors was code quality. Their team reviewed the codebase and actually kept us as the development partner post-acquisition.


→ "How much technical debt are we inheriting?"

Every shortcut the original team took becomes a line item on a spreadsheet. They calculate what it costs to fix and deduct it from the offer. This can knock six figures off valuations.


→ "Can this handle 10x the current load right now?"

Not after a rebuild. Right now, as-is. If the answer requires re-architecting, that's another cost they subtract.


→ "Is the data clean enough to migrate?"

Messy data means months of integration work on their side. They price that in aggressively.


→ "What happens when the founders walk away?"

If all the product knowledge lives in two people's heads with nothing documented, the acquirer just bought a risk.


Most non-technical founders don't think about any of this until they're already in due diligence. By then the damage is done.

Build like someone's reviewing your codebase tomorrow. After 13 years, I've watched acquisition offers show up when founders least expect them.

What would you want to clean up in your tech stack before a buyer looked at it?

I run a 28-person agency. I used to feel guilty about an ‘empty calendar’ on a Monday. Now I try cancel all of my meetings:

And it’s helped us grow revenue 30%+.

Previously I was in every delivery meeting, every project review, every standup at VeryCreatives.

I thought I had to be in the room for things to run.

Now, our fantastic Head of Delivery meets with the PMs directly. 

And an ‘empty calendar’ means brain space to strategise on growth.

Here's what my Monday looks like now:

1. Strategy session with my co-founder Mate
→ Previous week, pipeline, finances, what's planned
→ Keeps us both aligned so neither of us needs to check in again all week

2. Sales sync
→ New leads, who handles what, timing

3. Afternoon: wide open
→ This is the whole point
→ We use that time to plan new internal tools, shape future services, figure out where we're going next

By lunchtime, the operational part of my day is done.

Everything after that is thinking time.

What's one meeting you could delete from your Monday to create space?

I've helped 5 SaaS products exit. 

Here's what acquirers actually looked at:

5 years ago, a product we developed sold to Adesso ($1.3BN/year IT business).

One of the things they noted was that technical build was a factor in acquisition.

Main problem:

Non-technical founders MOSTLY don’t think about how to build the technical foundation for exit from day 1.

Then in the event of acquisition they scramble to make the product "acquirable" and wonder why due diligence takes forever.

Here's what acquirers evaluate:

1. Code quality

Can they maintain it without you?

I've seen acquirers keep the original dev team post-acquisition specifically because the code was clean. 

Red flags they look for:

→ No documentation
→ No tests
→ Spaghetti architecture
→ Single points of failure


2. Technical debt

How much will it cost to fix?

Every shortcut you take today becomes a negotiating chip against you later.


3. Scalability

Can it handle 10x users?

Not "can we rebuild it to handle 10x." Can it handle 10x NOW?


4. Data integrity

Is the data clean? Structured? Portable?

Messy data = massive integration costs = lower valuation.


5. Team dependency

What happens if founders leave? Is knowledge in heads or in docs?

My ‘exit-ready’ lesson;

Build like someone's going to buy your company tomorrow.

Because if you do it right, they might.

Think about this while building the roadmap for your v1.

My 6-year old son tells $100M private equity firms if product ideas are ‘good’ (I’m serious).

If you can't explain your product to a 6-year old, I’ve got $100,000 on the fact that no one else will get it either.

I sit through dozens of product pitches every year.

The pattern is always the same:

Founder: "So basically, we're building a platform that leverages AI to optimize cross-functional workflows while integrating with existing enterprise systems to enable seamless collaboration and data-driven decision making."

Me: "What does it actually do?"

Founder: "...It helps teams share files."

The 6-year old test:

Can someone who has never heard of your product understand:

1. WHO it's for
2. WHAT problem it solves
3. WHY they should care

In 5 seconds?

If not, here's the formula that works:

"We help [specific person] [do specific thing] so they can [achieve specific outcome]."

Examples:

→ "We help freelancers send invoices so they get paid faster." 
→ "We help HR teams track applicants so they hire better candidates."

Trust me… my 6-year old is a great product idea validation filter.

Can you explain your product in one sentence?

Clay is one of the only companies I’ve seen do this 🔥

When you open the dashboard:

→ There's an AI chat text box.
→ It asks: "What do you want to build?"
→ You type your goal. It takes you to a chat screen. 
→ Then their AI (Sculptor) builds the workflow for you.

I think this solves three problems at once:


1. The blank canvas problem

Clay is powerful but notoriously hard to start with (lot’s of features).

Beginner users will open it, see an empty table, and don't know where to begin.

This prompt box removes that moment. 


2. Slow learning curve

A lot of tools teach you their features via an onboarding. 

But then over a few years they launch 10+ other features you have no clue how to use.

This Clay feature speeds up the learning curve:

→ You describe the outcome
→ The product figures out which features to use
→ You learn by watching it build


3. HUGE time and cost savings. 

For a lot of large products such as Clay, there are off shoots of service based agencies that build with the product for you.

Now you literally do not need to hire an agency.

The product builds what you need for you.

Making it more fun to use.

-

Have you seen other tools do this?

Why US innovation labs pay $500K for what Hungarian teams build for $100K (and get better results):

I just watched an enterprise innovation lab spend $500K on a product that never saw a single real user.

Then in same quarter, we shipped a similar concept for a German client. 

It took six weeks, it cost much less…. and in the end was live and taking payments vs the US one (zero payments).

The problem is US labs have been trained to solve every problem with a 20-person team.

Think about what happens when you have a massive budget:

→ You hire a product manager.
→ You hire three designers.
→ You hire a scrum master.
→ You hire eight developers.
→ You hire two QA engineers
→ And a DevOps team.

Everyone needs to justify their role. So they build. And build. And build.

👉 The PM adds features to show progress
👉 Designers polish screens nobody asked for
👉 Developers architect for scale you don't have
👉 QA tests edge cases that won't exist for years

Six months later, you have a beautiful product that solves nothing particularly well.

OR-

With that same $500k budget, you could run 10 separate validation sprints at $50k each. Even if 8 fail completely, you still walk away with 2 validated concepts to scale.

Compare that to putting the budget on one product that takes six months to discover nobody wants.

Agree or disagree?

Fireflies.ai hit a $1B valuation.

How to copy their MVP strategy:

Founders Sam Udotong and Krish Ramineni would dial into calls as "Fred from Fireflies.ai", sit silently, take notes by hand, and send them 10 minutes later.

They did 100+ meetings like this. Completely manual. 🤯

→ Zero development cost to validate
→ Learned exactly what users needed (by doing the job themselves)
→ Proved people would pay $100/month BEFORE investing in code
→ Only automated after hitting $750/month revenue

What I take from this:

Before you scope features, before you wireframe, before you hire anyone:

Can you deliver the core value manually? Without hiring any developers?

If yes, do that first. Talk to those customers. Understand the problem deeply.

Then build.

-

P.s.

We use Fireflies.ai at VeryCreatives.

We switched from Fathom because it felt more complete and could even log our internal calls in Hungarian. 🇭🇺

Could you imagine Fred joining your call to take notes?

What's stopping you from delivering your product's value manually this week?

Most launches fail in the handoffs. Here's the 20-minute test that catches them.

If we work together on a launch, I will ask you to do one thing that feels annoying:

Close Figma.

Forget your test accounts.

Take a brand new signup and do one complete job in one sitting:

👉Invite the teammates you expect them to invite.

👉Import the messy file they will actually import.

👉Hit the permission edges you are secretly hoping they never hit.

What I keep seeing is the same:

Teams test features in isolation because it feels faster.

Users live in journeys.

Journeys fail in the handoffs.

So, pick one job that really matters.

Time yourself doing it end to end on a fresh account.

Write down every time you pause, swear, or ping someone for help.

Fix the three worst moments before you celebrate anything.

It is not glamorous work, but it has saved more launches for us than any marketing campaign.

When's the last time you did a full journey test on a fresh account?

Hiring a developer is the most expensive mistake a non-technical founder can make. Do these 7 things to save $50k+ for your MVP (avoid Upwork/Fiverr):

1. Define your product strategy first

→ Spend 2-3 days defining exactly what you're building and why. 
→ Don’t scroll Upwork/Fiver for a developer.


2. Create detailed user journeys

→ Every screen. Every interaction. Every edge case.
→ If you can't draw it, you can't build it.
→ Otherwise you’ll end up trusting a developer with the entire thing.


3. Prioritize features ruthlessly

→ What's your V1? V2? Never?
→ Cut 50% of what you think you need.


4. Wireframe everything

→ Before design and before code. Do wireframes.
→ It’s cheap to change (trust me on that one). 


5. Weekly demos with the developer

→ See progress. Catch misunderstandings early.
→ Fast feedback loops save thousands.


6. Fixed scope, not fixed time

→ Tell the developer "Build these 10 features" not "work for 3 months."
→ Not "work for 3 months." or "work for 10 hours this week."


7. Kill features that aren't working

→ Sunk cost fallacy kills startups.


The math:

A few days of product strategy work upfront can prevent $50k-$100k in wrong features.

I've seen founders spend $80k building the wrong thing. Then start over.

Don't be that founder.

The fastest way to make $100k MRR with SaaS 

Copy all of your competitors features:

No, seriously.

But only once you take this into account.

Your competitor has 50 features. 
They’re proven over 5+ years.
They’re clearly making revenue.

Just copy them all right?

Here's the problem:

Your competitor built those 50 features over 5 years.

They added most of them because:

→ A big customer asked for it
→ Someone on the team thought it was cool
→ They were trying to justify a price increase

They probably regret half of them.

What to do instead:

1. Identify their core value proposition (usually 2-3 features)
2. Find which features their customers actually use (check G2 reviews, Reddit, support forums)
3. Identify what they do poorly (read 1-star reviews)
4. Build that. Better.

Don't compete on feature count. 

You'll lose.

Compete on solving one problem exceptionally well.

What's the one thing your competitor does that you could do 10x better?

Luke Shalom

CEO @ Grow Solo I help the C-suite turn industry expertise into predictable pipeline

There are two ways agency founders try to turn LinkedIn into a reliable source of clients.

One is by guessing. Posting when there is time. Relying on referrals and hoping the next month is a good one.

The other is by building a system that creates steady conversations, even when client work gets busy.

Our clients choose the second.

→ Joya Dass (Founder, Women’s Leadership Lab)

The problem:

- She spent hours in the DMs to book a few calls.
- Content happened on weekends.
- When delivery picked up, sales stopped.

Some months were strong. Others were quiet.

Even in good months, there was stress about where the next client would come from.

What we did:

We built a simple LinkedIn content system she could run in house. No ghostwriter or agency retainer dependency.

We shifted her content from generic how to posts to insight driven thinking.

That changed the conversations. People in her network showed up aligned and ready to buy.

We added a content led outbound system powered by a setter we hited and trained. The system kept working while she focused on delivery.

Results:

- Revenue grew from $150k to $300k.
- Sales became predictable.
- The pressure eased.

→ Jonathan Crowder (Founder, Founders Ally)

The problem:

- No time for content.
- Unpredictable sales calls.
- Leads with no budget.
- No sales background. A 10 percent close rate.

What we did:

We removed Jonathan as the bottleneck. 

We built a content system using AI supported by his real thinking. It sounded like him, not software.

Trust was built before the call. Outbound went from 10% to 40% response rates.

We focused prospecting on real buying moments, like recent funding to catch buyers at the right time.

We simplified his sales process. Clear outcomes. Clear cost of inaction was communicated to his buyers.

Results:

- Meetings went from 3-5 a month to 10-15 sales qualifed leads a month.
- A visible pipeline. Increase to a 25 percent close rate.
- $300k in pipeline in 60 days.
- $30k in new revenue closed.

→ Brian Dukes (COO, Exit Wise)

The problem

- Ovelry dependent on referrals.
- No LinkedIn playbook.
- No time to write.

What we did

- We clarified positioning.
- Simplified the offer.
- Built a content engine.

Then we added outbound from the founder profile.

Everything was owned and run internally.

Results:

- Consistent posting machine.
- 500 to 6500 ICP followers.
- $740,000 in LinkedIn-driven revenue over two years.

We have helped 100+ founder led agencies replace unpredictable growth with systems they understand and control.

If this feels familiar, we should talk.

Founder

We help executives to build and monetize their brand on linkedin by scaling your content and turning it into leads, authority and thought leadership.

How?

Engagement + DM flows = Qualified meetings. 

Done with you. Done for you.

Everyone is losing their minds over the new LinkedIn algorithm. 

But I’ll break down every change I’ve seen in 2026, 2 mins so you can gain an fair advantage:

1) Your profile, content and offer have to be aligned to drive reach
 
You used to be able to post about anything and get substantial reach. Now LinkedIn is looking to showcase authorities in specific niches. 

If your content doesn’t match the positioning on your profile, LinkedIn is more likely to label your content as “this person doesn’t usually talk about this so they can’t be an expert” and show less of it. 

How to fix this? 

Keeping everything aligned helps ensure your posts have the best possible chance of staying in the feed (cited from a Jodie Cook Forbes article and bolstered by Chris Donnelly).

2) Random pictures < relevant media
 
No longer can you post a random selfie to “boost reach”. It literally makes zero difference now. 

The real change? LinkedIn is now prioritising content with “relevant media”. This is essentially anything that aids the understanding of the post itself.
 
The litmus test here is simple. If your picture isn’t relevant to the post, it doesn’t need one.
 
3) Posts last 48 hours < posts last weeks in the feed
 
2024/25 saw posts hit peak velocity in 24–48 hours and then slowly decline. Now the algorithm has moved towards prioritising evergreen content. 

How do you adapt? 

Reduce your “recent news” content around events and increase your production of content that provides evergreen insight.

Get this right and you only need a few bangers to drive pipeline for the year. 

5 of my founder teardown posts made up about 20% of my monthly reach despite being posts from 6 months ago.
 
4) If AI can write it, it’s not good enough
 
Everyone is using Chat. And now everyone’s a writer. The problem is AI will always deviate towards the median of what it thinks “good content” should look like. 

That’s leading to a feed clogged with mediocre content. First rule, if AI can write your idea, it’s not good enough. 

The easiest shift is to stop generic how-to content and reframe everything through the lens of “How I do this”.
 
5) Prioritising the wrong CTAs for growth
 
It used to be follows and reshares that drove reach. Now it’s all about SAVES.

 How many people enjoyed your content enough to want to come back to it later. This signals higher dwell time too.  

This isn’t just about asking for saves though. It’s about how well your hook communicates the message of the post and how evergreen the structure is so people can actually use it later. 

But if you want a short-term plaster, simply asking for a save will still move the needle even if you don’t fix the content upstream.
 
-

If you enjoyed this post, make sure to hit “save” so you can come back to this laster”

Founder at Atticus | Predictable LinkedIn pipeline using a founder-led sales system I 100+ clients scaled | Be the next 👉 atticusagency.com

Stop sending DMs that get ignored. I booked 1,000+ sales calls from LinkedIn and made $1.3M doing. Steal the exact script ↓

Comment and I'll send it to you.

I used to spend hours crafting the "perfect" DM. Tweaking. Rewriting. Getting ghosted anyway and following up like a desperate ex.

Now I use a 5-message sequence I've tested for 3 years straight. Instead of 18 rejections out of 20, we are booking 20-40 calls a month.

Every conversation feels like it came from them.

Here's what's inside:

- DM 1: Open with context, not a pitch
- DM 2: Follow up without sounding desperate
- DM 3: Uncover their pain in natural conversation
- DM 4: Transition to a call without it feeling forced
- DM 5: Make it stupid easy to book the meeting
- The complete walkthrough...  all 5 messages in action
- 5 mistakes that kill your DM conversion rate
- How to customise the script for your ICP

BONUS: DM Personalisation Framework that gets 80% response rates.
It took me 2 years and 1,000+ DMs to build. Takes you 60 seconds to steal.

Stop using LinkedIn DMs like a cold email channel. 

Start using them like a trust-building machine.

How to get it: 

1/ Connect with me 2/ Comment below and I'll DM you everything

♻️ Repost to skip the queue. 

P.S. We must be connected... otherwise LinkedIn blocks the message.

P.SS The perplexity lead magnet will be coming over today/ tomorrow... keep those eyes peeled!

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