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

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

Cognizant

- I actively participate in RFIs, RFPs and client discussions
- I build and manage relationships with both external and internal stakeholders.
- I actively manage day by day operations for 4 teams across 3 different projects, including staffing, performance management, goal setting and mentoring. 
- I remain engaged in R&D initiatives driving cloud migrations of our tooling and the adoption of code companiontechnology based on Github Copilot and OpenAI
- I ideate and build performance management documents, conduct hiring management and staffing for the Web group.

Senior Engineering Manager

As a community manager I am driving a group of approximately 160 engineers. My responsibilities are both operational and strategic and include: staffing, hiring management, performance management, developing initiatives and programs that provide opportunities and thought leadership for our community, research and development project ownership. 

I am always in contact with multiple stakeholders assessing a wide array of situations and providing solutions. 

I interview and discuss offers as well as staffing options with external candidates and participate in client calls in order to identify the best matching candidates.

Community Manager

Cognizant Softvision

The Community Lead role is responsible for managing a subset of an engineering community. 
Key activities include but are not limited to: 
- Building teams: from on boarding to staffing to regular follow ups, always checking that our colleague's career plans are in sync with the delivery team's plans. 
- Building careers: developing career plans, growth plans and coaching both technical and soft skills.
- Hiring management
- Strategic community initiatives: designing and implementing diverse talent programmes targeted at building knowledge, shifting technology focus, training entry level colleagues, training interviewers and team leaders, community growth, engagement 
- R&D projects technical ownership: Technical drive and supervision over R&D teams, helping with general architecture overview, engaging in discussions with different stakeholders and third party departments in order to facilitate coordination with the team.
- Performance reviews and objective management.

Community Lead

Developing PHP applications and REST APIs for a large logistics company. Improving existing code and creating new features. Find the best solutions for connecting the existing application with third party applications.

Developing and maintaining modules and features for one of the top CRM solutions on the market.

Working on breaking down a monolithic web application (PHP) into several micro services written in Python. This involves working with asynchronous requests between the micro services and keeping Postgres databases in sync as well as decomposing large parts of the monolith and recreating then into new services

PHP/Python Software Engineer

Cloud Connect IT

Development Team Leader

Gameloft

I was selected to become the team leader of the local business intelligence team (8 team members). 

My daily responsibilities were related to administrative team management, technical support, task breakdown and estimations and overall delivery of required features.

Occasionally I interviewed new candidates for the open positions within our team. 

I provided feedback to my colleagues and participated in their performance reviews as an evaluator.

Business Intelligence Team Leader

Working on custom business intelligence solutions, developed by our department using PHP and InfiniDB (a columnar solution for Mysql) capable of extracting, transforming and loading millions of new entries per day.

One such solution was represented by our state of the art analytics tool that displayed complex in-game data and metrics including financial details to our main game stakeholders.

Daily responsibilities included ticket validation, solutioning, implementation and delivery. I was working as part of an 8 member team interacting with different stakeholders spread across our organization.

I was selected to be a part of a limited special purpose team deployed to identify and fix issues in one of our online games developed for the SE Asia market. Together with my 3 other colleagues we stabilized the product before returning to our original team.

PHP Developer - Business Intelligence

FaroDevelopment

Developing web applications with Php, MySql, HTML, CSS, Javascript. Custom framework used

Junior Web Developer

Community Manager, Web | I am driving an engineering community of about 160 colleagues located in two hubs. | I build and grow individual tech profiles, teams and engineering communities.

The views and opinions found on my LinkedIn profile, are my own and do not reflect the ones of my employer, colleagues or peers.

As an accomplished management professional, I am leading a team of 160 engineers providing strategic and operational oversight to ensure top-tier performance. My expertise lies in developing individuals, teams, and technical communities, while coordinating engagement and growth initiatives. In my current role, I oversee staffing, hiring management, and strategic program development that drives the dimensions of the group. I also work closely with stakeholders to assess various situations and provide tailored solutions to achieve goals.

My experience in a previous role also includes supporting business across the Web community, recruiting, interviewing and onboarding candidates, hiring management, team structure design and allocation, and supporting career development, growth plans, mentoring, and coaching initiatives. Additionally, I act as a product owner and drive continuous development on R&D initiatives within the Web Community. I am proficient in using Agile methodologies such as Scrum and Kanban, and I support using task tracking tools like Jira, Redmine, etc.

As a former web developer with a backend-centric profile, I started my software development journey as a PHP Engineer. Throughout my career, I have gained experience in various fields, including Business Intelligence, where I worked on large data sets extracted, transformed, and loaded into analytics tools developed by our teams. As a team leader, I led a team of seven people from a technical and administrative standpoint. I have also worked on a world-class CRM solution and have experience in Python development, including restructuring a PHP monolith into microservices written in Python and running on Docker. In addition, I have supported an R&D team in developing a Docker-based REACT+NodeJS+Postgres application.

taplio

The Battle

Kornel Dubieniecki

Radu-Tudor Susanu

Followers

Posts

Engagements

Likes

Performance ScoreKornel Dubieniecki's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Kornel Dubieniecki

Radu-Tudor Susanu

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);}Kornel Dubieniecki's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreKornel Dubieniecki's LinkedIn Performance