Noemi Kis✨

Founder, CEO

Serial Entrepreneur / AI enthusiast / TEDx speaker

Hey there! 👋

I write about ideas for building a microbusiness.

I used this model to build a 7-figure company and grow a community of 160K+ on LinkedIn. Now, I help non-techie execs and founders do the same.

Get the 50 high margin business ideas FREE when you join.

Join here: https://stan.store/NoemiKis

Brands & sponsorship inquiries: hello@noemikis.com

AquaQuote is a global digital marketplace for buying and selling industrial water treatment products in the aftermarket space.  Brands have an opportunity to digitize their catalog and offer their products to a wider audience, while end users can easily find and purchase products via a self-service dashboard.  We focus on fast and excellent customer service and sourcing products from the best suppliers with the shortest lead times. 

The riskiest chance you’ll ever take?

The one you don’t take.

Everyone obsesses over the price of taking a chance:

↳ "What if I fail?"
↳ "What if I lose money?"
↳ "What if people judge me?"

But nobody talks about the cost of inaction. The price of staying exactly where you are.

Here's what standing still actually costs you:

1. Opportunity cost

↳ Someone else gets ahead while you hesitate
↳ Competitors learn from mistakes while you research
↳ Markets move whether you're ready or not

2. Compound cost

↳ Skills become harder to learn with time
↳ Networks become harder to access later
↳ Momentum you don't create keeps you stuck

3. Time cost

↳ You can recover from failed business
↳ You can't recover wasted years
↳ Time is the only resource you can't earn back

Most people spend so much energy avoiding short-term discomfort that they guarantee long-term regret.

So you only really have 2 options:

Take the risk now, or pay for it every day you don’t.

Because regret is the most expensive bill you’ll ever get.

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Microbusiness Ideas / AI enthusiast / TEDx speaker

Jeremy Prasetyo

World Champion turned Cyberpreneur | Building an AI SaaS company to $1M ARR and sharing my insights along the way | Co-Founder & CEO, TRUSTBYTES

While everyone's talking about AI, the Agentic Web and Web3,
few understand how to turn them into competitive advantage, 
even fewer into institutional advantage.
That's where I come in.

I'm a former World Champion turned Tech Founder and Emerging Technology Strategist who decodes tomorrow's tech for today's leaders. 
Through my unique ability to break down complex technologies into actionable strategies, I help organizations transform uncertainty into opportunity.

As CEO of TRUSTBYTES and an internationally recognized keynote speaker, I bridge the gap between cutting-edge innovation and real-world implementation. 

My expertise spans:

→ Emerging Tech Translation
- Transforming AI and blockchain complexities into clear strategic advantages
- Converting technological uncertainty into market-leading opportunities
- Building innovation flywheels that compound over time

→ Leadership Acceleration
- Mentoring the next generation of tech-savvy leaders
- Guiding institutional transformation with practical frameworks
- Creating bridges between legacy systems and emerging technologies

→ Strategic Innovation
- Designing AI-driven business flywheels that scale
- Developing institutional-grade technology strategies
- Engineering frameworks for sustainable growth

Through high-impact keynotes, executive mentorship, and hands-on leadership, I empower decision-makers to turn technological complexity into market dominance. 

My approach merges deep technical insight with battle-tested business acumen, helping organizations thrive in rapid change.

Tech moves fast.
Markets move faster.
But institutional transformation?
That's where most leaders get stuck.
I'm here to change the game.

Follow me for actionable insights on emerging tech, leadership, and exponential growth. 

Let's build tomorrow's advantages today.

CEO & Co-Founder

FIGHTING CYBERCRIME LIKE IT'S 2030
Find more bugs in less time while saving up to 80% of cybersecurity resources.

HOW IT WORKS
TRUSTBYTES secures exponential technologies like Web 3.0, AI or Quantum TECH with its advanced AI that delivers unparalleled accuracy. By deploying self-learning AI agent swarms that adapt to evolving threats we protect systems with superior vulnerability detection and mitigation.

THE PROBLEM
$8 Trillion in Damages
Cybercrime Damages did cost the world $8 trillion USD in 2023.
Until now, global cybercrime costs grew by 15 percent each year.
But this number will grow exponentially, as hackers start using AI or even Quantum TECH.

Threat to Humanity
Warren Buffett calls cybercrime the biggest problem facing humanity - a threat exceeding nuclear weapons.
The answer lies in fighting fire with fire through AI counterforce.
TRUSTBYTES is that enabler for CISOs - an advanced AI system augmenting human experts to proactively remediate cyber threats before damage occurs.

OUR SOLUTION - SECURING EXPONENTIAL TECHNOLOGIES

➝ Web 3.0 - Smart Contract Auditing Suite

➝ Securing AI Systems

➝ Securing the Quantum TECH era


For more details visit: trustbytes.io

The advice that changed everything for Matthew McConaughey 
⤵

Most people don’t need permission to chase their dream.
They need someone to look them in the eye and say:
"If you're gonna do it - do it right. No excuses."

That's exactly what Matthew McConaughey got.

One sentence from his father became the launchpad for everything:
"Don't half-ass your dream."

It wasn’t comfort.
It wasn’t praise.
It was the wake-up call we all need.

Let’s break it down:

1/
 ➠ Permission vs. expectation

 ➝ We're raised to seek approval
 ➝ And to follow safe, respectable paths
 ➝ But "safe" often leads to silent resentment

↳ So stop playing by rules that were never yours


2/
 ➠ McConaughey's moment

 ➝ He was set for law school
 ➝ But wanted to chase film instead
 ➝ He feared disappointment

↳ What he got was belief - because he owned the choice


3/
 ➠ What his dad really said

 ➝ "Don't half-ass it" meant: go all in
 ➝ It wasn’t coddling - it was a challenge
 ➝ If you choose it, then back it with force

↳ Commitment is the cost of clarity


4/
 ➠ What that means for you

 ➝ Dreams aren't hobbies
 ➝ They're responsibilities
 ➝ And they demand effort

↳ Half-hearted effort kills more dreams than failure ever will


5/
 ➠ Why it still matters

 ➝ Owning your path inspires others
 ➝ Taking action changes identity
 ➝ Regret haunts the untried

↳ One act of courage often unlocks another


Most people wait for belief.
For an external validation.
For someone's permission.
But belief is earned by doing - not by waiting.


▶ What if "support" looked more like challenge?
▶ Who's waiting for you to act so they can believe?
▶ When was the last time you didn’t half-ass something?


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Source: Matthew McConaughey, “Greenlights”

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Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf

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World Champion turned Entrepreneur | Follow me for emerging tech, leadership and growth topics | Co-Founder & CEO, TRUSTBYTES (Techstars ’25)

Growth happens in the space between who you are
and the person you were meant to be.
 ⤵

Before anything else, here’s the angle most people miss:

You’re not competing with the world.
You’re competing with the next version of you.

And that competitor never gets tired...

That’s why the chase matters more than the milestone.

That's what Matthew McConaughey knew well an led to more than "just" an Oscar win:


1/
➠ The future self that never stops moving

 ➝ Your hero stays ten years ahead
 ↳ Always further
 ↳ Always better
 ↳ Always out of reach

We start here because this is the foundation: the future version of you isn’t a trophy. It’s a target that refuses to stand still.


2/
➠ Time reshapes who you want to become

 ➝ Growth shifts your definition of “ideal”
 ↳ New standards
 ↳ New clarity
 ↳ New goals

And as time moves, so do you.
Your definition of “better” evolves because you evolve.


3/
➠ Self-reflection keeps you honest

 ➝ Checking progress reveals the truth
 ↳ What’s working
 ↳ What’s missing
 ↳ What’s next

This is where the internal audit comes in.
No sugar-coating. 
No excuses. 
Just a clear view of where you stand.


4/
➠ The unattainable target is the useful one

 ➝ You’re not meant to catch your hero
 ↳ It stretches you
 ↳ It humbles you
 ↳ It disciplines you

The point isn’t arrival.
The point is pursuit.
The chase creates the growth.


5/
➠ Who you chase shapes who you become

 ➝ Aim at a version worth becoming
 ↳ More aligned
 ↳ More intentional
 ↳ More fulfilled

Because in the end, the future you becomes the architect of your present decisions.
And that’s where real transformation happens.


The standards of your future self
slowly become the standards of your current life.

If the person you were meant to be is still ahead of you,
what does that demand from you today?


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Source: Matthew McConaughey Oscar Speech https://lnkd.in/dJ4iejSx 

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Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf

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"This is the moment that decides everything"
- Patrick Bet-David
⤵

Before the strategy.
Before the money.
Before anyone knows your name.

There’s a quiet test almost nobody talks about.

And it shows up when you’re completely alone.


1/
➠ The seat no one warns you about

➝ No audience
↳ No backup

This doesn’t happen on stage.
It happens in a car, late at night, staring forward, talking to yourself.
No motivation left. No applause coming.

And this is where it starts getting real.


Now here’s the shift most people don’t expect.


2/
➠ Why you suddenly can’t call anyone

➝ They believed you
↳ You sold the dream

You told your partner you had a plan.
You told your friends you were building something big.
You told your parents you were choosing a harder road.

Calling now feels like admitting doubt.
So you sit with it instead.


And that silence?
It starts asking questions.


3/
➠ The negotiation phase

➝ Is this worth it
↳ Why am I doing this

This is where logic creeps in.
Money feels overrated.
Legacy feels unnecessary.
Comfort starts sounding responsible.

Not quitting yet.
Just… reconsidering.


And this is where most people slip.


4/
➠ How people quietly lose

➝ Logic wins
↳ Dreams retreat

Logic says get a job.
Logic says choose peace.
Logic says this pain isn’t necessary.

Everyone around you will agree.
They’ll even say you made the right call.
But there’s one problem.


Which leads to the final turn.


5/
➠ The only voice that matters
➝ Yours
↳ Alone

No mentor here.
No spouse.
No friends.

Just you deciding who you are when no one is watching.

That’s the moment Patrick Bet-David is talking about.

▶ what do you say in silence
▶ who do you listen to
▶ do you stay


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Source: Patrick Bet-David

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China isn’t replacing classrooms with AI.
They’re testing what happens when humans become data.
⤵

That distinction matters.

This is not about futuristic furniture.
Not about tablets built into desks.

It’s about what changes when learning is continuously measured.
And when behavior becomes a metric.


1/

➠ this is still an experiment
not nationwide
not universal
not evenly distributed
Only selected schools.
Mostly well funded regions.
Mostly pilot programs.

That’s how big shifts always start.
Quietly.
Before they scale.


2/
➠ what is actually being measured
interaction
posture
attention
response speed

Screens replace paper.
Sensors track behavior.
Dashboards summarize students.

Teaching becomes visible.
Students become readable.

Learning turns into signals.


3/
➠ why institutions want this
faster feedback
automated grading
performance clarity

Teachers save time.
Administrators gain insight.
Systems gain control.

Personalization sounds humane.
Optimization sounds efficient.

Both depend on defining ideal behavior.


4/
➠ where the tension lives
constant observation
psychological pressure
unequal access

Attention becomes a score.
Emotion becomes data.
Silence becomes compliance.

Urban schools accelerate.
Rural schools lag.

The gap widens quietly.


This is not about screens.
It’s about incentives.

What behavior gets rewarded.
What behavior gets flagged.
What behavior gets trained out.


Uncomfortable questions worth sitting with

▶ who defines attention
▶ who owns the data
▶ who audits the system
▶ who protects the child


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Source: Video via Alvin Foo

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Grammy winner. The next Super Bowl headliner.
They call him an overnight success…
But that’s what they don’t see: ⤵

The spotlight makes it look sudden.
The trophies make it look easy.
But the truth lives in the years before anyone cared.

Nobody “comes out of nowhere.”
They come out of now here,
doing boring work, daily,
long before it pays:

1/
➠ Before the world noticed

Before the Grammys.
Before the halftime stage.

There were grocery shifts in Puerto Rico.
Long hours. Low pay. No audience.

And when the shift ended, the real work started.


2/
➠ What happened after work
This is where most stories skip ahead
.
He went home and created anyway.
Recorded. Uploaded. Repeated.

No label.
No co-signs.
No guarantees.

Just consistency when nothing was happening yet.


3/
➠ Where most people quit

Here’s the uncomfortable part.

The songs with 200 plays.
The silence after posting.
The feeling that effort isn’t being rewarded.

This is where people stop.
Not because they lack talent —
But because patience runs out.


4/
➠ Why it finally worked

Momentum didn’t appear randomly.
It was earned quietly.

One song spread.
Then another.

Not because he was new.
Because he was ready when attention arrived.


5/
➠ Why this matters to you

You might be in the invisible phase right now.

No applause.
No validation.
No proof it will work.

That doesn’t mean you’re behind.
It means you’re building the foundation most people never finish.

▶ What is most inspiring to you about his story?


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Source: https://lnkd.in/dJYXB6E6

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World Champion turned Entrepreneur | Follow me for emerging tech, leadership and growth topics | Co-Founder & CEO, TRUSTBYTES (Techstars '25)

There has never been a better time in history to start…
…here’s why:
⤵

The ground is shaking. That’s your signal.

When everything feels unstable, most people freeze.

Founders shouldn’t.

Volatility is not a warning sign.
It’s a starting gun.

And right now, the clock speed of entire industries is accelerating.


1/
➠ The clock just changed

➝ AI is compressing industry timelines
↳ Code is being commoditized
↳ Workflows are being rebuilt
↳ Old playbooks are breaking

This is not a feature update.

It is a pace reset.

When the speed of progress increases, anything built for the old tempo becomes friction. And friction kills incumbents.


2/
➠ Speed beats size

➝ Big companies have scale and capital
↳ But they iterate slowly
↳ Layers slow decisions
↳ Legacy resists change

When experimentation becomes cheap, scale stops being the ultimate advantage.

If code is generated on demand…
If products can be rebuilt overnight…
If testing costs close to zero…

Then iteration becomes leverage.

Startups win because they:

➝ Move quickly
↳ Test constantly
↳ Pivot fast
↳ Ship daily

In a fast clock cycle, speed compounds.


3/
➠ The shake-up is the setup

➝ Markets feel unstable
↳ Business models feel exposed
↳ Assumptions feel fragile
↳ Certainty feels gone

Good.

Everyone is facing the same disruption.

But not everyone will respond with urgency.

When the clock cycle shifts this dramatically, startups almost always win.

Not because they are smarter.

Because they are faster.

And we have never seen the ground shake like this before.

So the better question is not,
“What happens to my industry?”

It is,
“How fast can I rebuild within it?”

▶ What if instability is the advantage?
▶ What if scale is slowing you down?
▶ What if caution is the real risk?
▶ What if this is your window?


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Source: Sam Altman via @‌multiprenur

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Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf

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A new Silicon Valley startup just crossed $10B.
Its product? Your profession.
⤵
 
Knowledge used to be power.

Now it’s data.

Training material.

Expertise turned algorithms.
 
And your Stanford PhD?
Training the system that replaces themselves:


1/
➠ AI Progress Is Human-Led

➝ Experts identify model mistakes
↳ They measure them precisely
↳ They create scoring rubrics
↳ They reinforce better outputs

AI doesn’t improve by magic.

It improves because professionals teach it how.

And that raises the obvious question.


2/
➠ Are They Training Their Replacements?

➝ Yes
↳ In structured workflows
↳ At scale
↳ For speed

Entire professions are being distilled into repeatable logic.
But here’s the nuance.


3/
➠ What Actually Gets Replaced

➝ Pattern-based decisions
↳ Documentation
↳ Analysis
↳ Predictable judgment

What remains is harder to codify.


4/
➠ What Stays Human

➝ Context
↳ Ethics
↳ Empathy
↳ Accountability

The question is not whether AI will replace knowledge workers

The question is
▶ which parts of your expertise are defensible?
▶ Are you building skills that scale with AI?
▶ Or tasks that get absorbed by it?

 
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How Valentine’s Day Became a 27 Billion Dollar Machine:
⤵

Most think it is about love

It is about systems

A fixed date
A rewritten narrative
Scaled production
Engineered expectation
Algorithmic amplification


1/
➠ From martyr to marketing moment

➝ A third century execution fixed February 14 in the calendar
↳ Repetition made it permanent

➝ Mid February rituals already normalized pairing
↳ Symbolism accelerated adoption

➝ Medieval poets reframed the date as romance
↳ Story changed behavior

Calendar created attention

Culture reassigned meaning


2/
➠ Printing made emotion scalable

➝ Rising literacy normalized written affection
↳ Emotion moved through paper

➝ Industrial printing reduced cost and increased reach
↳ Romance became repeatable

➝ Ornate cards turned feelings into products
↳ Inventory replaced intimacy

Standardization creates category

Category creates market


3/
➠ Corporations engineered expectation

➝ Heart shaped chocolate linked product with romance
↳ Packaging signaled love

➝ National card distribution normalized participation
↳ Not giving stood out

➝ Diamonds equaled permanence
↳ Price became proof

Demand was shaped

Obligation outperformed spontaneity


4/
➠ Media amplified pressure

➝ Income growth expanded spending power
↳ More joined

➝ Television broadcast idealized romance
↳ Comparison intensified

➝ Hollywood globalized expectations
↳ Pressure scaled

Private ritual became public signal


5/
➠ Algorithms optimized monetization

➝ Prix fixe menus increased margins
↳ Scarcity sold

➝ Bundled experiences raised spending
↳ Upselling normalized

➝ Social media amplified visibility
↳ Silence implied neglect

➝ One click purchasing removed friction
↳ Data timed emotion

Trigger

Campaign

Purchase

Signal


6/
➠ Why 27 billion is predictable

➝ Broad participation multiplies volume
↳ Spending compounds

➝ Stacked categories inflate totals
↳ Averages rise

➝ Luxury anchors raise baseline
↳ Expectations escalate

➝ Skipping feels risky
↳ Compliance wins

Seven centuries of reinforcement

One predictable outcome

Culturally enforced consumption ritual

What if fewer participated

Proof without price

Opt out

Choice

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