Macromo

Technical Lead

Outreach

Senior Software Engineer

STRV

Frontend Developer

Dorsia.io

Frontend Consultant

Full Stack Developer

Web Bespokers

🚀 Technical Lead at Macromo - Leading innovations in the fascinating intersection of software and biotech.

💼 With years of experience as a Software Engineer, I've worn many hats – from coding to leading dynamic teams. At Macromo, we're pushing boundaries with DNA and Blood tests, and I'm at the forefront of that revolution.

🎙 Passionate about bridging the gap between IT, DNA, and career development. Through my posts, I aim to shed light on the latest tech.

🌱 Personal Growth Advocate - I believe in continuous learning. Over the years, I've seen how personal branding can redefine careers. Now, I'm on a journey to grow mine while helping others do the same.

Kornel Dubieniecki

I haven’t been active on LinkedIn for over 𝟵 months.

Since I started posting again 2 weeks ago, I felt very lost.

My feed looks different,
old formats don’t work anymore,
and everyone is complaining about low reach.

Then I found the new 𝟮𝟬𝟮𝟱 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗥𝗲𝗽𝗼𝗿𝘁 by AuthoredUp and it all started to make sense.

(thanks Ivana Todorovic, it's pure gold! 🤩)

Here are the 4 biggest shifts you need to know:

1️⃣. 𝗥𝗲𝗮𝗰𝗵 𝗶𝘀 𝗱𝗼𝘄𝗻 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲

→ Median reach dropped ~47% in a year.
→ Video collapsed the most. Images, documents, and even text posts lost reach too.

In 2024 the median LinkedIn post was ~1,211 people, in 2025 it collapsed to ~636.

2️⃣. 𝗦𝗮𝘃𝗲𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝘀𝗶𝗴𝗻𝗮𝗹

→ One save = as much reach as five likes.
→ Saved posts grow creators 3× faster.

Readers save content that feels like a resource - guides, templates, checklists, deep insights.

3️⃣. 𝗥𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗻𝗼𝘄 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲𝘀 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻

→ Posts that are easy to scan get 27% more reach.
→ Short paragraphs, simple flow, clean formatting. 

If your post feels like homework, people keep scrolling.

4️⃣. 𝗧𝗵𝗲 𝗶𝗱𝗲𝗮𝗹 𝗽𝗼𝘀𝘁 𝗹𝗲𝗻𝗴𝘁𝗵 𝘀𝗵𝗿𝗮𝗻𝗸

→ In 2021 the sweet spot was 1,200–1,300 characters.
→ In 2025 it’s 800–1,200.

Shorter posts with sharp 1–3 line paragraphs keep people reading.

So what does this all mean?

You’re not doing anything wrong.
The feed is simply more competitive and stricter.

You win by being clear, useful, and worth saving.

Did you notice the algorithm changes?
How did they affect your content?

Let me know in the comments below! 💬

P.S.
Don't forget to follow 👉 Kornel Dubieniecki

Technical Lead & Software Engineer | I’ll show you how to make money in tech! 👨‍💻🤝💰

How is 𝗣𝗲𝘄𝗗𝗶𝗲𝗣𝗶𝗲 better at AI than 99% of the LinkedIn AI experts?

(including me)

While most of us talk about "AI", Felix actually built one.

He spent last few months turning his ridiculous $20k PC into a fully self-hosted AI lab.

➜ No cloud credits.

➜ No "add your API key".

Just open-source models running locally on a raw hardware machine w/ 8 x Nvidia RTX 4090 GPUs.

Here’s what he figured out:

(lessons even non-technical people can use)

1️⃣. 𝗟𝗼𝗰𝗮𝗹 𝗔𝗜 = 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁

Cloud AI remembers everything. Local AI remembers only what you give it, and it never leaves your machine.

2️⃣. 𝗬𝗼𝘂 𝗱𝗼𝗻'𝘁 𝗻𝗲𝗲𝗱 𝗴𝗶𝗮𝗻𝘁 𝗺𝗼𝗱𝗲𝗹𝘀

He ran a 120B+ model for fun... then discovered that tiny 2B models (which you can run on a laptop) can become really powerful when paired with search and memory.

3️⃣. 𝗕𝘂𝗶𝗹𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗻𝗼𝘁 𝗵𝘆𝗽𝗲

He created his own AI interface, added audio, search, citations, memory, and even a council of AIs that debate and vote. Zero vendor lock-in.

4️⃣. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 𝗶𝘀 𝗰𝗼𝗻𝘁𝗿𝗼𝗹

Your hardware, your data, your rules. He can extend or break the system down however he wants.

5️⃣. 𝗦𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗶𝗻𝗴 𝗳𝗼𝗿𝗰𝗲𝘀 𝗿𝗲𝗮𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴

Instead of relying on paid tools, he learned how GPUs, quantization, memory limits, and model configs work. He stopped being a prompt user and truly learned the tech behind AI.

His final realization?

Most people don't need massive AI models, they need small, fast ones connected to the right tools. And you can run those on almost any computer.

That’s why he’s ahead of the "experts" - he actually uses AI instead of just talking about it.

And what about you?
Have you tried running AI locally yet?

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

We might soon witness the biggest secret reveal in human history. 👽

And most people have 𝗡𝗢 idea.

For decades:

• Navy pilots reported objects defying physics.
• Intelligence officials collected classified evidence.
• Nuclear bases were shut down by unknown craft.
• Congress was kept in the dark.
• And even Presidents were denied access.

Now those same insiders are publicly saying:
 
→ “UFOs are real.”
→ “We are not alone.”
→ “They are not human.”
→ “We have retrieved both craft and bodies.”

This is no longer just a tin foil hat theory - the former 🇺🇸 U.S. military members and government officials have finally started speaking out.

Including Marco Rubio who's the current Secretary of State and National Security Adviser.

If you want to see for yourself...

I recommend you watch "𝗧𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗗𝗶𝘀𝗰𝗹𝗼𝘀𝘂𝗿𝗲" that came out last week and which is probably the best documentary on the topic ever made.

I've seen the director Dan Farah talk about it on Joe Rogan experience and after watching the movie myself on Saturday - my jaw has dropped.

Not because of the aliens - as I've always been a believer, but because of the multi-layered cover-up.

The wild part?

The biggest concern isn’t UFOs…

It’s that secret contractor groups have allegedly been reverse-engineering this tech since 1947, outside government oversight, and have full control over it.

If one nation or corporation cracks this first?

That’s game over for global power balance.

Space, air, oceans, energy, weapons, transportation - everything changes.

We’re entering a new era.

Are we ready for it?

What do you think happens first when this becomes official news?

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

It’s Friday which means that most of the software engineers will soon stop working and…

start working on their personal projects instead :D

For all the hustlers - here’s a list of the 5 most popular tools and categories from my directory website that lists open-source tools 👇

𝗧𝗼𝗼𝗹𝘀 / 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀:

1️⃣ • n8n – workflow automation platform 
↳ https://lnkd.in/dxJN_Ku8

2️⃣ • Secret Knowledge – library of high-value resources 
↳ https://lnkd.in/dbFpzcZd

3️⃣ • Awesome Self-Hosted – self-hosted collection
↳ https://lnkd.in/d9xdtFuC

4️⃣ • Build Your Own X – tutorials for building products
↳ https://lnkd.in/dCtmjNhu

5️⃣ • Tech Interview Handbook – interview resources 
↳ https://lnkd.in/dXJkda6m

𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀:

1️⃣ • Development – tools for building software
↳ https://lnkd.in/d4Z-An88

2️⃣ • API – frameworks for designing and managing APIs 
↳ https://lnkd.in/djyaq9Rg

3️⃣ • DevOps – automation, deployment, and infra tools
↳ https://lnkd.in/dfufntxU

4️⃣ • Analytics – platforms for tracking data 
↳ https://lnkd.in/dSzvSyPp

5️⃣ • CMS – systems for content management
↳ https://lnkd.in/d4Bf8wER

I hope it gives you some ideas or saves a few hours!

If you need even more inspiration make sure to check the whole list here:

→ https://lnkd.in/d_Y5UN4m

It includes over 900 different open-source tools and resources.

So what are you working on this time?

Let me know in the comments below! 💬

P.S.
Don't forget to follow 👉 Kornel Dubieniecki

AI will 𝗡𝗢𝗧 replace mid-level engineers.
 
But mid-level engineers who ignore AI will get replaced by the ones who don’t.

The truth is: AI isn’t taking engineering jobs yet.
  
It’s just widening the gap between engineers who adapt and engineers who stay “good enough”.

And mid-level is exactly where this gap becomes dangerous.

Here’s what I keep seeing:

• Juniors are learning AI from day one.
• Seniors already know how to use it as leverage.
• Mid-levels? They’re stuck in the middle - scared to fall behind, unsure where to start.

If that’s you - hear this:

AI isn’t here to 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 your skills.  
It’s here to 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝘆 them.

The engineers who win in the next 2–5 years will be the ones who can:

→ ship faster without burning out
→ automate the boring 40% of their work
→ think at a higher level than “task executors”
→ solve problems instead of just writing code

AI gives you all of that 𝗶𝗳 you learn to use it properly.

And no, “using ChatGPT to debug” isn’t enough.

Your real edge will come from learning how to:
 
• iterate faster
• design better solutions
• understand systems, not just syntax
• free up time to learn the skills that actually move your career forward

☒ AI won’t make you irrelevant.
☑ Staying stagnant will.

How are you currently using AI in your work (if at all)?
 
I’m curious to hear what’s working for you, or what you’re struggling with.

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

#ai #tech #jobs #engineering

I’m not trying to be a doomer, but a HUGE shift is coming because of AI.

And it has already started. 🥶

Big companies are continuing their layoffs while making record profits.

And if you think it’ll affect just the entry-level and low performers - think again.

Microsoft has just laid off one of their top engineers who’s been there for 18 years and has worked on TypeScript for over a decade.

I’m sure he’s gonna be fine, but what about you?

In the US alone there were already millions of layoffs in 2025. No, it’s not normal - stats are record high.

And if you thought that you can always just work as a DPD driver I have bad news.

They also recently started heavily replacing people with robots and AI.

How to work against it?

Build 👏 your 👏 own 👏 shit 👏

You need to have something to your name the moment it hits you and that's not "if", but "when".

Whether it’s a personal brand, profitable side-project or a small product.

It’s never been easier to build things with AI and you don’t need to be a techie to do it anymore.

Are you working on something cool right now?
What is it about?

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

#kd
#ai
#tech
#jobs

Quick recap of my last 𝟭𝟰 𝗱𝗮𝘆𝘀 posting on LinkedIn.

(after being inactive for >𝟵 𝗺𝗼𝗻𝘁𝗵𝘀 💀)

I honestly expected my account to be completely dead…
but the results weren't that bad, which surprised me.

(of course there were a few flops too)

In the last 2 weeks I posted 6 times.

That resulted in:

~15k views,
~30 new followers,
and 4 valuable DMs.

My top 3 posts from the last 2 weeks:

🥇 Post #1 - 6,3k views  
↳ https://lnkd.in/dhT4vDT2

🥈 Post #2 - 5,1k views  
↳ https://lnkd.in/dsXhKEdp

🥉 Post #3 - 1,2k views  
↳ https://lnkd.in/duuJW3Pr

For context, here are my top 3 posts from the whole year:

🥇 Post #1 - 117k views  
↳ https://lnkd.in/dQHZr7Pg

🥈 Post #2 - 30k views  
↳ https://lnkd.in/dGSGX8UZ

🥉 Post #3 - 8k views
↳ https://lnkd.in/dWmdZKZ2

A few insights:

- Engagements =/= Views
Post #1 got 3x less engagements, but 6x more views than post #3.

- Organic reach > Forced engagements
Post #3 had a bunch of early engagements including 2 reposts from pretty big accounts, but that didn't translate to a lot of views.

- Views =/= Leads
It was the less successful posts with <1k views aimed specifically at my niche (Tech & AI) that started meaningful conversations for me.

Summary:

When building your brand always be authentic and post about the things that interest you. (like aliens 👽)

If you haven't been active for a very long time, don't worry - just get back to it and the results might surprise you.

Even if your posts don't get that many views they still might get you valuable connections.

And how’s your personal brand building going?
Is LinkedIn treating you well?

Let me know in the comments below! 💬

P.S.  
Don't forget to follow 👉 Kornel Dubieniecki

Most people think AI knows everything.

It doesn’t.  

It only knows what it was trained on and that training ended long time ago.

Which means it has no idea about your files, your notes, your processes.

So how do you make AI actually useful?

You give it RAG (Retrieval Augmented Generation)

Here’s the simple version:

┌📁 You store your documents privately  
├🔍 AI searches them when you ask something  
└🧠 It answers using your real data

RAG is basically a supercharged Ctrl + F that can also write full sentences.

Example:  

1. You ask: What is our refund policy?  
2. RAG finds the exact paragraph in your PDF.
3. AI rewrites it into a clean, accurate answer you can send immediately.

✨ No hallucinations  
✨ No guessing  
✨ No made-up facts

Why RAG matters:

• Customer support gets instant accurate replies  
• Teams stop digging through endless docs  
• Your notes become a personal knowledge engine  
• Leaders get clarity without hunting for info  
• Even tiny local models become incredibly powerful

And yes, this works on normal hardware.  
You do not need huge GPUs.  
You just need your own data.

Have you tried adding RAG to your workflows yet?

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

The No. 1 reason you’re failing your tech job interviews

(no, it’s not your experience)

Every time I have a tech job interview I try to teach my interviewer something new.

And I don’t mean like a new algorithm or data structure or design pattern.

None of the hardcore nerd stuff.

I’m thinking more like that cool niche open-source library I found last weekend

or a piece of software I started using some time ago.

The last time I was actively interviewing was a little over a year ago and the things that worked well for me back then were:

- Arc (The Browser Company) - a browser that is simply much better than Chrome and its alternatives.

- Raycast - nice little replacement for Spotlight, but can be very powerful with its many existing extensions.

- Cursor - it might seem everyone is using it by now, but in reality they’re not or at least they don’t know how to do it efficiently.

- Personal projects including the libraries I chose to use and why.

Whether I’m being interviewed or I’m the interviewer, I try my best to share or learn something new.

If you can find a solution to their existing problem - that’s even better, because they might actually use it right away and be grateful to you.

Next time you come to an interview and you start chatting, try to drop in a few gems so that when the interview is over they’ll think:

“Wow, what this guy showed me is actually pretty cool.”

or

“Nice, I could really use that thing to solve the task I have now in progress.”

And what is your approach to the tech interviews? Did you face some different challenges?

Let me know in the comments below! 💬

P.S.
Don’t forget to follow 👉 Kornel Dubieniecki

#kd 
#tech
#interview

You've probably seen this chart multiple times already…

But do you know what it actually shows?

It’s called the 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗖𝘂𝗿𝘃𝗲 or 𝗧𝗵𝗲 𝗥𝗼𝗴𝗲𝗿𝘀 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗖𝘂𝗿𝘃𝗲.

It describes how new technology spreads in few different cycles.

This curve also explains why AI is creating huge opportunities for some engineers…

While others feel like they’re about to get replaced.

And it can tell you exactly where you stand in the AI shift happening right now:

👨‍🔬 | Innovators – building AI tools, experimenting daily
🚀 | Early adopters – using AI to boost productivity
🌊 | Early majority – “I should probably start using this…”
🏢 | Late majority – forced to adapt by their employers
🐢 | Laggards – still pretending AI is just a buzzword

Here’s the harsh truth:

→ Most mid-level engineers are stuck in the early majority.

They wait for:

- the “best AI course”  
- stable company adoption  
- clear guidelines  
- perfect tools

Meanwhile early adopters are:

✅ - shipping faster
✅ - automating tasks
✅ - building side projects
✅ - becoming the AI person on their team

Same job.
Same skills.
Different outcome.

☒ | AI alone won’t replace engineers.
☑ | But engineers who ignore AI will be replaced by the ones who master it.

In 2–3 years, the market will look VERY different.

So ask yourself:

Are you learning AI now, while the advantage is big?

Or will you wait until it’s mandatory and the opportunity is gone?

Let me know in the comments below! 💬

P.S.
Don't forget to follow 👉 Kornel Dubieniecki

#ai #tech #jobs #engineering

Terramate

I joined Terramate to bring my experience of scaling teams at global unicorns to the early stages of a startup.

VP of Engineering

Getir

- Responsible for 1 tribe, 5 managers, 6 squads, 40 headcount, in 8 countries
- Mentored multiple senior ICs through the Manager path transition
- Responsible for all user-facing experiences common to all of our 9 businesses
- Owned strategic SaaS vendor relationships, driving significant cost improvements through contract right-sizing
- Technical due diligence for M&A
- Delivered significant performance and cost benefits to core services via scale-appropriate system redesigns 
- Director of Engineering for the German HQ

Leading with empathy through consolidation and the drive for operational efficiency.

Director of Engineering

- Responsible for 2 squads, 1 EM, 1 Lead, 16 headcount
- Managing remote-first teams across 7 countries
- Responsible for core services supporting over 100M registered users

Joined in a high growth phase with the objective of spinning up new teams to accelerate business.

Senior Engineering Manager

lengoo

Grew from 8 to 24 engineers in 4 teams led by EMs.

Got new Machine Translation models deployed to customers in minutes instead of days.

Partnering with Sales, we launched an API-first, fully digital experience for digital native customers that eliminated the need for 90% of human intervention. It helped us gain market share in the Nordics at a lower cost of labor.

Head Of Engineering

Europe, North America, South America, Oceania, and Asia

Travelling

Contentful

Managing the European team, while remaining an active Solutions Architect for key accounts.

Coordinated the intake of customer insights into the Product development process.

Recruited the initial San Francisco Solution Architecture team

Solutions Architect Manager

Providing technical leadership, guidance and organisational coaching to the software teams of 30+ customers, from small startups to large Fortune 500 enterprises across Europe, US and Canada.

Pre-sales technical enablement leading to faster closing times.

Post-sales technical enablement leading to lower churn and higher deal expansion rates.

Supported 30+ enterprise customers including brands like Capital One, Eli Lilly, Bethesda, N26, Porsche Digital, remotely and on-site.

Solutions Architect

HelloFresh (UK & Germany)

Managed up to 15 engineers through Team Leads.

Grew the API, Infrastructure, Payments and Loyalty teams.

Launched Hellofresh in 3 additional countries in less time than expected.
Introduced Infrastructure as Code company-wide, with the ability to completely recover from disasters fully automated.

Introduced a docker-based developer experience which brought the time to first commit of new developers down from a few days to a few hours.

Head of Platform Engineering

Designed and co-developed the Consumer API. It powered the launch of the ios and android apps, bringing the Hellofresh experience to the kitchens of millions more people globally.

Introduced Testing and Architecture practices that brought down the rate of defects and the cycle time of new capabilities.

Founded the Platform teams: API, Infrastructure and Payments.
Developed the hiring process that took Hellofresh from 10 to 100 developers in two years.

None

I was contracted to develop the backend for a corporate intranet application which handled multi-currency expense reporting and workflow automation. I joined a team with Angular frontend engineers and supplied the RESTful API as well as all backend services including web server, database and job scheduling. I once again used the Symfony php/mysql stack to deliver a tested and robust product.

Inpakt

Inpakt was a startup building a social network for people wanting to volunteer with nonprofit organizations, as well as a payments processor for such NPOs.

I was attracted to its socially responsible mission and became one of the first engineers on the team. We delivered MVPs built on symfony/php and mysql in a quick iterative fashion, as the company sought to find its product/market fit.

Our three-strong engineering team demonstrated how velocity can increase when adhering to professional engineering practices such as solid principles and TDD, as a healthy codebase was easy to mold and pivot as the business needed.

Sadly, the national market for donations offered little in the way of business viability. We were unable to penetrate foreign markets and the venture folded after less than a year.

Founding Engineer

SAPO

Contracting on behalf of PrimeIT, I joined teams working on large scale e-commerce and adtech products.

Sapo Voucher was a groupon-like service built on a heavily customized code igniter php+mysql platform, to which I introduced symfony components and increased testing coverage for better productivity and resilience, while keeping performance high.

Sapo Ads is a contextual text advertising service running on highly optimized php and bare-metal mysql instances. I helped deliver better campaign management capabilities.

Both products were available throughout the entire Portuguese-speaking community, meaning we were delivering high scale traffic efficiently to millions of users across Portugal, Brazil, North America and Africa.

Seeking to focus on full time software engineering on my own terms, I was engaged by a client in the automotive industry to develop a multilingual car rental platform. I once again used mysql, php and symfony for the job, deepening my knowledge of the framework while delivering a highly customizable system for stock management, booking system and marketing content management.

Freelancing Developer

Scaling tech organizations at global unicorns like Hellofresh, Contentful and Getir since 2015. Programmer since 2001. Educator and content creator. Finding success by empowering others.

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