MGM Resorts International

Technical SEO, Data, AI & cloud engineering, business intelligence, internal tooling

Data & SEO Engineer

Superformula

Tommi Saltiola & Co

Diverse set of experiences from tech, marketing, data, automation, seo

• Web Scraping & Data Engineering
• Automations with Python
• Appeared in Madventures Suomi TV episode educating about hemp for finnish population  
• Appeared in multiple podcasts and articles discussing hemp as expert  
• CBD content marketing and copywriting  
• Hemp & CBD industry expert: consulting, R&D, hemp cultivation
• Appeared in Madventures Suomi TV episode educating about hemp for finnish population 
• Appeared in multiple podcasts and articles discussing hemp as expert 
• Content marketing and copywriting 
• Industry expert: consulting, R&D, hemp cultivation

Entrepreneur

Finnish Industrial Hemp Association (Suomen teollisuus- ja hyötyhamppu ry)

• Connected key industry players into an association to look after the rights of the hemp industry.
• Contributed to publications and Policy briefs to educate the public and authorities.
• Lobbied politicians for changing the hemp legislation in Finland.

Co-Founder & Chairman

Especialistas en Diseño del Mañana (EDM) 

Lecturing about Agile Methodologies, especially Scrum for industrial design

Scrum Master

Hamppumaa - Hempland

As a co-owner, I leveraged my diverse skill set to shape the company's direction and success. My role spanned across strategic leadership, research, and development, coupled with a deep understanding of digital marketing strategies, including SEO.

Key Contributions:

Thought Leadership: Spearheaded the popularization of cannabinoid acid and endocannabinoid system science in Finland through my writings, speeches, and presentations. My academic writings and blogs led to our website, Hamppumaa.fi, ranking at the top of Google for CBD and CBDA in Finland.

Keynote Speaking: Represented Hamppumaa as a keynote speaker at various industry expos and seminars, disseminating our innovative work and vision to a wider audience. These speaking engagements have not only enhanced our reputation but also allowed me to foster meaningful relationships within the industry.

Industry Research: Performed in-depth industry research, gaining a comprehensive understanding of hemp production and its intersection with digital marketing trends. This knowledge has been invaluable in shaping product development and marketing strategies.

Product Development and Project Management: Orchestrated the development of hemp juice and hemp seed milk by leading cross-functional teams, including Production, Refining, Management, Marketing, and Research & Development.

Marketing & Analysis: Devised and executed effective marketing strategies, with a particular focus on eCommerce and digital marketing. Utilized data analytics to monitor our performance, make data-driven decisions, and refine our approach for optimal results.

Throughout my tenure at Hamppumaa, I have been driven by a relentless pursuit of growth, innovation, and excellence. As we navigate the path ahead, I am committed to leading with vision, informed by data and insights, to continue delivering value to our customers and stakeholders.

Co-Owner & Chief Research Officer

Growth Partner | AI, Ecommerce, Webflow & Automation | Research, SEO & Copywriting

Freelance consultant & engineer specializing in technical marketing (SEO/B2B Outbound), Data, AI/ML, cloud & python engineering.

From Finland, where people are great engineers and poor marketeers, except for me as I work especially with technical marketing. Based in Mexico City.

I spend my freetime with wife, dog, travelling & camera.

Tommi Saltiola, MBA

Find me on https://lovable.dev/@lazarjovanovic and learn Lovable on https://february.lovable.app/

Lazar Jovanovic

Professional Vibe Coder at Lovable | L5: Diamond Certified

Next stop - Lovabletown! ❤️ 

Dream it -> Ship it

Trying to come up with a good caption for this one.

This lesson is probably going to be very polarizing so I need your opinions on this in the comments. 

My POV:

The real leverage isn't in building more apps. 
It's in building fewer apps that can become many.

I used to think every project had to be unique. 
A new idea, a new market, a new everything. 
That is backwards.

Most beginners build apps. 
Builders build templates.

I don't mean a generic boilerplate. 

I mean a repeatable solution to a repeatable problem. 
Because most people in the same niche need the same things.

Take fitness creators. 
They all need workout delivery, progress tracking, and community features. When you build it, the pitch isn't "I have an idea for an app." 
The pitch is "I already built this. It just needs to look like you."

Or look at podcasters. 
They have audience and trust, but they lack products. 
You build a companion app once with searchable content and AI summaries. You use the same structure and simply swap the identity for the next creator.

The math changes everything:

Build one solid template in two weeks. 
Customize it for a client in two days. 
At $2,000 per branded app, five clients is $10,000 from that same initial week of work.

To find your own template, look for these four things:
1. A niche where people share the same needs.
2. A stable structure where only branding and content change.
3. A market where people are already spending money.
4. A clear way to reach that audience.

Your best work isn't just for one client. 
It is proof that you can deliver something premium, and that proof can be replicated.

Find a repeatable need, build once, and customize many times.

Catch Day 26 and the full lesson at https://lnkd.in/eWZShRpu and tell me if you agree about this being the easiest way to start monetizing your Lovable builds?

Vibe coding is just problem-solving under new constraints.

People hear the term and think shortcuts or laziness. 
In reality, it is the natural next step in the history of software development.

In Day 27 of 28 Days of Lovable, Marija Milosevic Lovable Ambassador and a former software engineer with 10 years of experience writing Java joins us to reframe how we look at AI-powered building.

If you zoom out, the pattern is logical:
- We moved from binary to functions.
- We moved from machine commands to readable languages like Python.
- We moved from manual coding to visual low-code builders.
- Now, we describe functionality in natural language and let the system generate the structure.

Every time we build on top of a new layer, we give up a bit of control in exchange for leverage. 

That has always been the deal. 
But faster execution does not mean less thinking. 
If anything, it means your thinking matters more. 

Thinking, judgment, and taste are what keep you calibrated when the tools move fast.

Over the last 27 days, the goal hasn't been to master a tool, but to master a loop:
1. Identify a problem.
2. Understand the constraints.
3. Design a system to solve it.
4. Execute as cheaply as possible.
5. Review honestly.
6. Decide deliberately.

When you look at an app like Uber, it feels like magic. 
But when you break it down into driver location, your location, distance, and a recalculation loop, it stops being mysterious. 

It becomes a system. 
And once you see the system, it is buildable.

Good builders don't wait for perfect tools. 
They see limitations early and design around them. 
That is what transfers. 
That skill doesn't expire when the tools change.

Catch Day 27 and the full lesson at https://lnkd.in/eWZShRpu

Tomorrow, to end the lesson portion of 28 Days of Lovable - I have another surprise guest to announce! 

She's a Lovable Ambassador, a wearer of all hats one could put on their head and the best person I could think of explaining what I believe vibe coding is really about - problem/constraint solving! 

Stay tuned for an amazing 15 minute session from Marija Milosevic! I was on the edge of my seat for this one, and am convinced you'll be as well 🙂 

(and you'll hear a few amazing few quotes too)

Everyone talks about how AI makes you faster.
That’s true.
But something else happened that I didn’t expect.

It made me more exposed.

When you can ship in days instead of months, there’s nowhere to hide.

If the idea is weak, it shows immediately.
If your taste is average, it shows immediately.
If you don’t understand the user, it shows immediately.

Before, you could blame timelines.
Or dependencies.
Or engineering bandwidth.
Now the bottleneck is you.

AI removes friction.
And friction used to hide mediocrity.

That part is uncomfortable.
But it’s also the opportunity.
Just depends on where you stand. 

We're all producing faster. The question is what - magic, or garbage.

Most projects don't die because the idea is bad. 
They die because the structure collapses.

On Day 22 of 28 Days of Lovable, we are discussing the uncomfortable truth: sometimes a project isn't worth fixing. 

When fixes start breaking other fixes, you are no longer progressing. 
You are fighting entropy. 
And entropy always wins.

Starting over is not quitting. 
It is optimizing for leverage.

If you find yourself re-explaining the entire system to the AI just to make one change, you are past the point of efficient repair. 

The professional move is to extract what worked, identify what caused the breakdown, and move the good components into a fresh build.

You do not owe a project completion.
You owe yourself systems that can evolve.

Watch the full lesson on structural failure and how to restart intentionally in this video

For a long time, building something felt like training for a marathon.

You would prepare for weeks.
Write specs.
Align stakeholders.
Wait for engineering bandwidth.

By the time something shipped, so much time had passed that it almost felt detached from the original idea.
Now it feels more like going to the gym.
You have an idea in the morning.
By the evening, there’s a working prototype.
And that changes something fundamental.

When building is slow, you can hide inside planning.
You can say, “We’re still refining the strategy.”
You can live in Notion and feel productive.

When building is fast, that shield disappears.
If the idea is weak, you find out quickly.
If users don’t care, you know within days.
If the execution is sloppy, it’s visible immediately.

AI didn’t just make me faster.
It removed the space where I used to overthink instead of finish.

And finishing and shipping something real, however imperfect - is becoming the actual edge.
Not intelligence.
 Not credentials.
Just the discipline to turn thoughts into things.

I was literally thinking this morning - if we're all solving for software, how will the hardware keep up? 

Perhaps this is the answer!?

This result is just mind-numbing. When you can generate 1M toks/min (which corresponds to say 3-4k pages of a book, or a pretty large codebase) - what new AI applications become possible? :)

Ljubisa Bajic a fellow Serbian and former co-founder of Tenstorrent, is building a new AI ASIC at Talaas.

When we spoke last February, he told me this was exactly the direction he was heading in - and now a year later, he’s shipped it.

The ultimate chip specialization: burn the weights of the transformer directly into the chip. Why even deal with software (at least at that level of the abstraction)?

When you're providing the intelligence infrastracture at planetary scale (and given how much the LLM architecture has converged)  this can be a very viable economic model. You tape out a chip that can support 3-6 months of inference - and then you ditch it after that.

Keep in mind that these numbers are for an 8B heavily quantized model (so the quality is somewhat lower) - but then again this is just an "MVP". :) We'll soon be able to do this at a much larger scale.

Check out their blog post here: https://lnkd.in/gEXdXBKs

You can apply to try it out.

Most challenges reward outcomes. This one rewards process.

Today is Day 28 of 28 Days of Lovable, and we are closing the program by opening the 7 Day Buildathon.

Starting now, you have one full week to build and ship a project using Lovable. 

But I am not looking for the prettiest UI or the biggest scope. 
I am looking for clarity of thinking and constraint awareness.

I am judging five specific pillars of execution:

1. Deliberate Starting Point
Show why you chose your entry point. 
Did it come from a real problem, a remix, or a template? 
Day 1 through Day 5 were all about this.

2. Intentional Documentation
You must demonstrate context preservation. 
I want to see your Forward docs (what you planned) and your Backward docs (what you actually built and the decisions you made along the way).

3. Agent-Oriented Execution
Show how you designed for execution, not just prompting. 
This means structured task breakdowns and phased builds with verification steps.

4. Systems Over Memory
Demonstrate how you avoided relying on one-off prompts. 
Show the system you used to keep the project aligned as it grew in complexity.

5. Reflection
This is critical for builder maturity. 
What broke? What limitation did you hit? How did you work around it? 

A month ago, you might have hesitated to start or feared breaking things. 
If you have done the work, you are not that person anymore. 
You have practiced the loop: identify a problem, design a system, execute cheaply, review honestly, and decide deliberately.

That loop is yours now. 
It does not depend on any single tool. 
The thinking transfers.

Submissions close next Friday. Winners will be announced next Saturday.

Catch Day 28 and get the full Buildathon briefing at february.lovable.app

P.S. I am proud of you. And proud of myself for showing up every morning in February. It's now the best month of the year for me ❤️

taplio

The Battle

Tommi Saltiola, MBA

Lazar Jovanovic

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taplio

The Battle

Tommi Saltiola, MBA

Lazar Jovanovic

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);}Lazar Jovanovic's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreLazar Jovanovic's LinkedIn Performance