It’s not.

It’s about talent.

When I spoke with Matt Saunders, founder of Hnosi Space, he didn’t start with satellites or missions.

He said:

“We go beyond that traditional transactional recruitment piece… it’s more about being a collaborative partner.”

That word matters.

Partner.

Because in space, hiring isn’t a function.

It’s a bottleneck.

The Shift from “Old Space” to “New Space”

Matt has been in the industry for almost a decade.

Long enough to see the transition.

“There was the old space world… very much defense guided.”

Big contracts.

Government-led.

Slow cycles.

Then everything changed.

“I moved away from the old space into the new space era… startups, scale-ups… companies innovating at the forefront of technology.”

This is the key shift.

Space is no longer:

• Just governments

• Just defense

• Just massive programs

It’s now:

• Startups

• Private capital

• Fast iteration

• Real competition

And when an industry moves from institutional to competitive…

Talent becomes the constraint.

Why Hiring Breaks First

In most startups, hiring is already hard.

In space, it’s brutal.

You need people who are:

• Extremely specialized

• Technically elite

• Comfortable with ambiguity

• Willing to work in a high-risk industry

And there aren’t many of them.

So companies default to:

• Transactional recruiting

• Short-term hiring

• “Fill the role” mentality

Matt saw the limitation early.

“It’s not just about the hiring process… it’s about what else we can do for our clients.”

That’s a different model.

Not:

“Fill this role.”

But:

“How do we help this company actually grow?”

Recruitment as Infrastructure

One of the most interesting ideas in the conversation was this:

Recruitment is no longer a service.

It’s infrastructure.

Matt described connecting companies together:

“What can client A do with client B… bringing them together so they can maximize their business potential.”

That’s not recruiting.

That’s ecosystem design.

In emerging industries, this matters more than anything:

• The best companies don’t just hire talent

• They access networks

• They share knowledge

• They move faster together

The winners aren’t isolated.

They’re connected.

The Hidden Game: Speed

There’s a pattern across every competitive industry:

The winners aren’t always the smartest.

They’re the fastest.

Fastest to:

• Hire

• Learn

• Execute

In space, this is amplified.

Because the gap between companies isn’t just execution.

It’s capability.

Hire the right engineer 3 months earlier:

You might ship first.

You might raise faster.

You might survive.

Miss that hire:

You’re out.

That’s the margin.

From Transactions to Partnerships

What Matt is building with Hnosi reflects a broader shift:

Transactional services → Embedded partners

Because in complex industries, context matters more than process.

You don’t need:

• More CVs

• More candidates

• More volume

You need:

• Better signal

• Better timing

• Better alignment

This applies far beyond space.

We’re seeing it in:

• AI

• Climate

• Defense

• Deep tech

As complexity increases:

Generic services break.

Context wins.

The Layer Most People Miss

If this was just about startups hiring engineers, it wouldn’t matter that much.

But space isn’t just another industry.

It sits at the intersection of:

• Defense

• AI

• Geopolitics

And that changes everything.

Space Is Now Strategic Infrastructure

Satellites are no longer optional.

They power:

• Communications

• Navigation

• Intelligence

• Military coordination

Every modern system depends on them.

Which means:

Space is no longer a niche.

It’s infrastructure.

And infrastructure is always geopolitical.

AI Is Accelerating the Stakes

Now add AI to the equation.

AI systems depend on:

• Data

• Connectivity

• Real-time signals

Much of that comes from space.

At the same time, AI is accelerating:

• Defense systems

• Autonomous decision-making

• Surveillance capabilities

So now you have two exponential technologies colliding:

AI + Space

And both are talent-constrained.

The New Global Competition

This is where it gets real.

The competition is no longer:

Startup vs startup.

It’s:

Nation vs nation.

Ecosystem vs ecosystem.

The companies that win in space are not just building products.

They are:

• Extending national capabilities

• Strengthening alliances

• Shaping global power dynamics

And what determines who wins?

Not funding alone.

Not technology alone.

Talent.

The Real Constraint

We like to think the future is built by technology.

Rockets. AI. Systems.

But every system has a constraint.

And more often than not…

That constraint is people.

The right ones.

At the right time.

In the right place.

In space, that difference isn’t incremental.

It’s strategic.

Final Thought

If you zoom out, this isn’t just about hiring.

It’s about how power is built in the next decade.

• Faster companies win markets

• Faster ecosystems win industries

• Faster nations shape the world

And speed, at its core, is a function of talent.

That’s the real race.

Not rockets.

People.

Full Episode

They have an LMS.

They have onboarding documents.

They have compliance modules.

But when I asked Art Maslow, founder of Foxtery, what problem he was really solving, his answer was different.

“We take the chaos companies already have and turn it into a system that learns, adapts and grows.”

Chaos.

That’s the real starting point.

Not software.

Not AI.

Chaos.

The Empty LMS Problem

Art didn’t start with AI.

He started with a Learning Management System used by more than 100,000 weekly learners.

It was modern.

Well designed.

Customers loved the vision.

And still, 30% of them never launched.

One client kept paying for nearly two years with a completely empty platform.

When Art finally asked why, the answer was brutally honest:

“I just love the idea of training my people, but I really don’t have time right now. And I’m afraid that if I stop paying, I will completely abandon this idea forever.”

That’s not a software problem.

That’s a structural problem.

The bottleneck wasn’t the LMS.

It was content creation.

Why Corporate Training Fails

For training to actually influence performance, it has to reflect reality.

As Art explained:

“For training to actually influence people’s mindset and make them stronger in their role, the content has to live inside the reality of the company.”

That means:

• Real product updates

• Real processes

• Real internal know-how

• Real compliance changes

And who owns that knowledge?

Founders.

Subject matter experts.

Busy people.

Art summarized the tension clearly:

“They don’t know how to create courses and they’re always busy.”

Pulling an expert out of day-to-day work to design structured training is almost impossible.

So the LMS sits there.

Technically implemented.

Strategically unused.

When AI Flipped the Equation

The turning point wasn’t better UX.

It was generative AI.

Art had already built an internal instructional design team to manually transform company knowledge into courses. It worked.

But it was slow.

Manual.

Expensive.

Then AI appeared.

“We realized that 95% of our work could be automated.”

That sentence changes everything.

When 95% of the cost of structuring knowledge disappears, corporate training stops being a creative bottleneck and becomes an engineering problem.

Foxtery evolved from LMS to something else entirely:

“Foxtery is an AI agent that transforms a company’s internal knowledge into real usable training.”

Not a content library.

An agent.

From Interfaces to Agents

Art made a subtle but important point during the conversation:

“Complex interfaces, menus, and settings were becoming outdated. AI agents were starting to feel more natural than traditional tools.”

This isn’t just about training.

It’s about software architecture.

Traditional corporate tools require:

• Configuration

• Navigation

• Manual updates

AI agents reverse the model.

You give them raw materials:

• Product documentation

• Compliance updates

• Internal processes

And they:

• Structure learning paths

• Generate interactive modules

• Create quizzes

• Update content automatically

Autonomously.

Training stops being something you build.

It becomes something that builds itself.

The Real Divide

There’s a lot of talk about AI replacing jobs.

Art sees something different.

“AI is moving so fast that even people inside the industry struggle to keep up. And the gap between those who understand AI and those who don’t is growing very quickly.”

The divide won’t be human vs machine.

It will be:

Companies that integrate AI into workflows

vs

Companies that experiment casually.

In corporate training, that difference compounds.

Imagine:

A product update ships in the morning.

By afternoon:

• Sales has interactive training.

• Support has scenario-based simulations.

• Compliance documentation updates automatically.

No one schedules a training session.

The system reacts.

That’s not incremental improvement.

That’s structural acceleration.

The Hardest Lesson

The most powerful part of the conversation wasn’t about AI.

It was about responsibility.

Art shared the hardest moment of his first startup.

He had five employees.

No cash.

A mortgage on his apartment.

And he had to tell each of them there would be no salary that month.

Those conversations changed how he thinks about leadership.

It’s why today he says:

“Be optimistic, but plan like a pessimist.”

Corporate training may be evolving.

But the fundamentals of building companies don’t change:

Cashflow discipline.

Execution.

Responsibility.

AI doesn’t remove those.

It amplifies the consequences of ignoring them.

What Success Looks Like

When I asked Art how he defines success, he didn’t mention valuation.

He said:

“Success is when my pack is happy.”

Family.

Team.

Clients.

Investors.

Corporate training, in that sense, isn’t about courses.

It’s about confidence.

Employees who understand the product.

Teams aligned with the mission.

Knowledge that doesn’t decay.

If AI agents can reduce chaos and accelerate alignment, then corporate training becomes strategic leverage instead of administrative overhead.

So Why Is It Finally Changing?

Because three forces converged:

1. Knowledge fragmentation reached its limit.

2. Generative AI collapsed the cost of structuring content.

3. Agent-based software replaced static interfaces.

Corporate training has looked modern for years.

Now it might actually become modern.

The question isn’t whether AI can generate courses.

It’s whether companies are ready to let knowledge become autonomous.

If your company disappeared tomorrow, how much of what you know would survive?

That’s the real test.

And that’s why corporate training is finally about to change.

Full interview

It changes why we work.

A few weeks ago, I sat down with a Sergio, who’s been building for almost two decades.

Before iPhones.

Before WhatsApp.

Before “AI-native” was even a concept.

Back when an online order meant an email landing on a BlackBerry and someone calling the restaurant to read it out loud.

That conversation stayed with me.

Not because of the technology.

But because of what it revealed about work, burnout, and purpose in the age we’re entering.

From tools to outcomes

The core shift we kept circling back to was simple.

People no longer want tools.

They want outcomes.

Restaurants don’t want dashboards.

They want orders handled.

Founders don’t want workflows.

They want fewer decisions.

That’s why AI agents matter.

Not because they’re impressive.

But because they remove friction.

When ordering food via WhatsApp is faster than opening an app, something fundamental has changed.

The best technology now feels invisible.

Burnout is not a failure signal

At some point, every long-term builder hits the wall.

Not “close to burnout”.

Actual burnout.

The kind that forces you to ask what you’re really building.

And what you’re sacrificing for it.

That question followed me all year.

Shutting down something you poured years into creates brutal clarity.

So does watching an industry you know deeply get rewritten by AI.

Burnout isn’t about working too much.

It’s about working without alignment.

The real question AI raises

We’re becoming dramatically more productive.

In some roles, 2x already feels conservative.

The uncomfortable question isn’t what AI will replace.

It’s what humans will do with the time it gives back.

Most people don’t want a life of nothing.

They want a life of choice.

Choice to work.

Choice to create.

Choice to slow down.

That’s a very different definition of success than the one many of us inherited.

There is no balance. Only seasons.

One idea I keep coming back to is this.

There is no perfect balance.

Only seasons.

Seasons of obsession.

Seasons of rebuilding.

Seasons of family.

Seasons of health.

The mistake is believing you can maximize everything at once.

This year taught me something simple and uncomfortable.

Winning at work while losing at health or relationships is still a loss.

What still can’t be automated

AI will write faster than us.

Code faster than us.

Design faster than us.

What it still can’t do:

Carry lived context.

Build trust through shared struggle.

Replace real human connection.

And interestingly, as AI content floods everything, human effort becomes more valuable, not less.

We admire what is hard.

Not what is instant.

A quieter definition of success

If I had to reduce the whole conversation to one line, it would be this:

Success is the freedom to choose how you spend your time, and who you spend it with.

Not hustle for its own sake.

Not productivity as identity.

Just clarity about what matters in this season.

We keep building.

Hopefully, with more intention now.

Full Episode:

Two years ago, he and his co-founder were building a decentralized tech solution to fight product counterfeiting across Europe.

Digital proof of ownership. Blockchain. Coco Chanel.

Sexy idea. Big dream.

But then they found out the big guys were already on it.

And they weren’t just competing, they were forming a consortium.

Martin calls it “like a breakup.” The kind that crushes you.

So they pivoted. Fast.

And that’s how Synex was born.

A startup nobody sees coming

Synex helps companies comply with Europe’s most complex product regulations.

Battery laws. Textile requirements. Digital product passports.

Stuff no founder wants to deal with — but has to.

Especially if you’re importing, manufacturing, or selling anything in the EU.

“Compliance is not optional. If your product isn’t compliant, you don’t sell. It’s that simple.”

Synex gives you both:

1. Experts who understand the regs

2. A software layer that simplifies the process

They work with battery manufacturers, fashion retailers, importers from China — anyone trying to sell into Europe and survive the growing wall of rules.

From student founder to compliance whisperer

Martin didn’t come from big law or consulting.

He was a teenager from Bulgaria.

He tried jobs in soil analysis, essential oils, publishing.

Started his first real project while still in school.

But before that?

“I had no direction. I was addicted to games. I was going nowhere.”

Then one day, during lockdown, he looked in the mirror and decided to change everything.

Cold showers. Discipline. Full reset.

He’s kept the ritual ever since.

The pivot that made Synex real

Their original startup idea had no path forward.

But while digging through the competition’s site, Martin spotted a term: Digital Product Passport.

One Google search later, he fell into the rabbit hole of ESPR — the European regulation on eco-design for sustainable products.

“It turns out this isn’t just about textiles. It’s batteries, furniture, electronics. It’s massive.”

That was the lightbulb moment.

They didn’t want to sound cool in a bar anymore.

They wanted to build something that solves a real, urgent, expensive problem.

What Synex actually does

Synex offers a mix of consulting and software.

Clients can pick how hands-on they want Synex to be.

It’s modular.

It’s tailored.

And it’s designed for compliance at scale — without hiring an army of internal lawyers.

They also experiment with AI internally:

• Using ChatGPT and Comet for data review

• Scraping websites to identify risky import patterns

• Screening ERP systems to pull just the right compliance fields

But they’re careful.

“AI helps, but compliance is binary. Probabilistic tools aren’t reliable enough to certify anything.”

Why Europe matters

We talked about the usual complaints:

Too much regulation. Too slow. Losing ground to the US and China.

Martin disagrees.

Yes, Europe can be heavy.

But it also has two key advantages:

• World-class talent

• Huge public funding for innovation and compliance

“VCs give you debt now. But the EU has grants, support programs, and long-term plans. If you know how to use them, they’re better than most investors.”

Synex isn’t rushing to raise a round.

They’ll only do it if their SaaS layer becomes scalable across markets.

Otherwise? They’ll stay lean and profitable.

What makes a founder succeed?

Martin doesn’t brag about titles.

He doesn’t call himself CEO.

He just solves problems, builds systems, and connects the right people.

“My superpower is finding talent, aligning them, and helping them work toward the same goal.”

He lives in Madrid. Lifts competitively. Stays off social media.

Still takes cold showers.

He’s one of the most grounded founders I’ve talked to in a while.

My takeaway

Most people run away from boring problems.

Martin ran straight at one — and found a goldmine.

He’s not building vaporware on top of AI hype.

He’s building tools for the regulatory future every company in Europe will face.

If your product touches Europe, Synex might soon be your best friend.

If not? You’ll wish you knew them when the rules change.

🎧 Full episode live now — The Founders Chat

She had a legal background, worked in gender strategy at the UN, and was building a solid career.

But she also had a story that stuck with her.

Her mother was passed over for promotions again and again. Five pregnancies. Same employer. Same outcome. Her aunt had a similar story.

Years ago, the family started dreaming about a solution. They imagined a certification for companies that actually cared about equality.

Nothing happened with that idea. But it planted a seed.

Years later, Maria picked it back up. This time, she had experience. She’d worked with companies. She knew the slow pace of institutions. She wanted something faster. More practical. Easier to implement.

That’s how We Gender Lab was born.

What the startup actually does

We helps companies measure and improve gender equality at work.

It’s not just about counting how many women are on the team. It’s a full analysis of leadership, pay, promotion, communication, marketing, and more.

It’s based on structured, research-backed frameworks (including the UN’s own recommendations) and shows companies where they stand and how to improve.

The goal? Make gender equality as trackable as your carbon footprint.

And for companies preparing for the EU pay transparency directive, it’s becoming a much-needed head start.

From idea to product, mostly solo

Maria co-founded the company with her mother and uncle. But operationally, she’s been building it alone.

No co-founder in the trenches. No tech background. No roadmap.

That means learning everything from scratch. Sales, finance, product, hiring.

She doesn’t wake up at 5 a.m. or follow a hustle routine. Her structure comes from daily rhythm, calls with her siblings, and deep alignment with the mission.

And the mission runs deep. Some of her early team members worked for months without pay, simply because they believed in what they were building.

When I asked what her superpower was, she said this:

“Inspiring people to believe this matters.”

It’s not about quotas

Maria’s approach to equality is clear and nuanced.

This isn’t about chasing 50-50 for its own sake.

It’s about removing gender as a barrier to leadership.

She’s seen how quick-fix solutions like token promotions often hurt more than they help.

If a woman is promoted just for optics, she has to prove herself in every meeting, sometimes more than her male peers.

True equality means building environments where talent rises based on impact.

Not volume. Not self-promotion. Not bias.

She also challenges how companies define performance.

If the “top performer” is always the loudest, most aggressive person in the room, you may be rewarding the wrong behavior.

Why this matters for business

This isn’t just about values.

It’s about outcomes.

Women influence 80 percent of household purchasing decisions.

If your team lacks representation in leadership and product development, you’re leaving insight and opportunity on the table.

Gender equality isn’t just an HR issue.

It touches product design, sales strategy, team health, and brand credibility.

Maria’s not asking for perfection.

She’s asking companies to measure where they are, and be honest about it.

Because once you can see the problem, you can start fixing it.

My takeaway

Maria’s story is quiet but powerful.

She took a kitchen table conversation and turned it into a tool companies are using to rethink how they build teams and define success.

This isn’t about politics or quotas.

It’s about creating better workplaces, and better businesses.

What no one tells you is how personal it feels.

When I got the “not a fit,” “too early,” or “circle back later,”

it didn’t feel like they were rejecting the company.

It felt like they were rejecting me .

If that sounds familiar, this is for you.

Because fundraising isn’t just a numbers game.

It’s a mental game. And if you don’t know how to play it, 100 NOs won’t just kill your round, they’ll kill your confidence.

Why every NO hurts more than it should

Here’s what rejection does to your brain:

1. Personalization

You hear “not a fit,” but your brain hears “you’re not good enough.”

But maybe they’re just out of budget.

Or they don’t invest in your category.

Or they’re tired. Or confused. Or busy.

2. Catastrophizing

One no becomes: “The round won’t close.”

“We’ll run out of money.”

“I’ll have to shut it down.”

3. Confirmation bias

You already have doubt. The no becomes proof.

Even after a great call yesterday, your brain says, “See? It’s not working.”

4. Shame

You stop updating people. You avoid follow-ups.

You freeze. You hide.

And silence kills momentum .

The mindset shift that helped me

A no isn’t a verdict.

It’s a data point.

The question isn’t: Am I good or bad?

It’s: What can I do better?

You need two things: a logical plan and an emotional reset.

Part 1: The logical plan

Start a rejection log with four columns:

• Investor name

• Reason they gave

• What you think they meant

• One possible adjustment

Over time, you’ll see patterns.

Most rejections fall into four buckets:

1. Fit — Wrong stage, market, or check size. Adjust your investor list.

2. Stage — Too early. You might need more traction or proof.

3. Story — They didn’t get it. Your pitch needs clarity.

4. Risk — Model or market makes them nervous. Expect questions.

After each rejection, ask:

Which bucket is this?

Have I heard this before?

Do I need to adjust?

No drama. Just data. Then execute.

Part 2: The emotional reset

Rejection still hurts. So give yourself a system for that too.

Step 1: Take 10 minutes

Go for a walk. Breathe. Get coffee.

Let it sting, then come back.

Step 2: Text a founder friend

Don’t carry it alone. One message can reset everything.

Step 3: Reframe it

This is one more data point. You have a plan now.

Step 4: Take one small action

Send a follow-up. Fix one slide. Add one fund to your list.

Show yourself you’re still moving.

If you do this every time, rejection gets lighter. Not easy. But lighter.

Three rules that changed everything for me

1. Decide when you’re calm

Don’t make big decisions when you’re exhausted.

Write down your own rules.

Example:

• Pitch 30 funds before you reevaluate

• Adjust only after 10 identical pieces of feedback

• Reassess the plan after 60 days, not before

2. Separate the round from the vision

A no to this round isn’t a no to your mission.

It might just be the wrong timing or the wrong investor.

3. Keep someone in your corner

When 10 people say no, one person saying “I see you, I’m proud of you” can be enough to keep going .

My takeaway

Fundraising will make you question everything.

That doesn’t mean you’re weak.

It means you’re human.

Rejection isn’t something to avoid.

It’s something to process and move through.

One no doesn’t define you.

Ten don’t either.

A hundred still doesn’t.

If you stay clear long enough, you’ll either find the yes you need

or you’ll choose a new path from clarity, not shame.

🎧 Watch the video version on YouTube

Lucia Lehmann spent 18 years in corporate tech.

Microsoft. Dell. HP.

Always in sales. Always delivering.

But one day, she realized the traditional model didn’t scale.

“There were 24,000 mid-market companies. Knocking on doors wasn’t going to cut it.”

So she left corporate.

Moved countries.

And co-founded 2 Leap, a company helping B2B businesses grow through structured sales strategy, process, and AI.

Sales meets systems

2 Leap is more than a consultancy. It’s a growth engine.

They work with B2B companies expanding into new markets or launching new verticals.

What makes them different?

• They combine sales strategy with AI tools and automation

• They build custom systems, not just decks

• And they move fast, but with clarity

“We always ask: where’s the real gap? Don’t adopt AI because it’s cool. Use it where it makes you better.”

Their typical client doesn’t have the team or market knowledge to expand.

2 Leap brings both. And builds a repeatable process on top.

Leaving comfort isn’t easy

Lucia didn’t jump solo. She left corporate life with her husband, also an entrepreneur, after moving from Argentina to Spain.

“My job was our mortgage safety net. Leaving meant uncertainty. It was a family decision.”

Still, she knew it was time.

She had already been an intrapreneur for years launching products, opening new segments, and leading regional growth teams.

“I was building from scratch inside companies. Eventually, I wanted to do it for myself.”

Building 2 Leap meant pivoting fast

Lucia and her co-founder Valeria had early success.

But they realized some profitable business lines weren’t aligned with their long-term vision.

So they made a hard call.

“We left revenue on the table to go all-in on what would take us to the next level.”

Their friendship turned into partnership.

They aligned on values. Wrote it all down.

And built a foundation of trust and structure.

Today, they lead together with different strengths, but the same goal.

Moving countries means rebuilding identity

Starting a company is hard. Doing it in a new country is harder.

Lucia had to rebuild her entire network after leaving Argentina.

“There, I had 18 years of visibility. In Spain, I started from zero.”

So she got strategic. Joined founder groups. Went to events.

Built her network from scratch, intentionally this time.

“This time I asked: who do I want to meet? What kind of network will help me grow?”

The structure behind the scenes

Lucia’s weeks are built around clarity and rhythm.

• Monday forecast meetings: first thing, every week, no excuses

• Customer check-ins: to realign, adjust, and re-prioritize

• Sales calls: still her favorite part

• Team syncs: sales, ops, marketing

• Focus blocks: to avoid inefficiency from constant context-switching

And personally?

She walks her kids to school. Plays field hockey. Runs. Lifts.

“If I don’t work out, my family tells me to go run. It’s how I stay creative.”

What AI can do. And what it can’t

2 Leap uses AI everywhere. But always with a strategy behind it.

“We analyze every internal process first. Then we decide where to use AI.”

Lucia believes automation can scale the good… and the bad.

So you have to fix the system before you amplify it.

And always, there’s a human in the loop.

“Someone has to lead. Someone has to make decisions and talk to customers. That’s not something AI can do, at least not yet.”

What she’s seeing founders miss

Lucia sees the same pattern in early-stage teams.

They chase AI features.

Adopt tools too fast.

And skip the most important question:

What problem are you trying to solve?

“If you don’t know the gap, tech won’t help. You’ll just waste money and confuse your team.”

What success looks like now

Lucia used to struggle with sales.

Not because she wasn’t good but because she didn’t connect with the idea of revenue as a personal goal.

Then she reframed it.

“Now I see sales as helping people grow into their best version. That’s success for me.”

She brings that mindset to her clients.

Help them define goals.

Build the system.

And grow in a way that feels right.

My takeaway

Lucia’s story is a case study in intentional growth.

• Leaving comfort when most would stay

• Building systems when others chase trends

• Growing a business that’s both structured and human

2 Leap isn’t a tech rocketship or a viral story.

It’s a reflection of real founders doing real work, one conversation at a time.

🎧 Full episode now live —

What do you think is the main challenge when moving to a new country and start from scratch?

They don’t go to sleep one night and wake up broken the next morning.

It doesn’t work like that.

What actually happens is… you wake up the same way for 18 months.

You ignore seven small signals.

Each one, individually, is small enough to explain away.

But together? They add up to a system failure.

And by the time you notice what’s actually happening, you’re already broken .

The week I stopped sleeping

It wasn’t a crisis week.

There was no meltdown.

We were fundraising. A customer was at risk.

My co-founder and I weren’t aligned.

One of my early hires wasn’t performing.

It was just… normal Tuesday pressure.

But that week, I couldn’t sleep.

First one night. Then two.

By Saturday I was up at 2 a.m.

Staring at the ceiling.

Thinking, “Why am I doing this?”

If you get to that point, it’s already too late.

What burnout really looks like

It’s not just overwork.

Burnout is what happens when you carry everything.

Money. Product. Team. Sales. Vision. Brand.

You are the company.

So when the company is struggling, you feel like you are failing.

And here’s the trap: you can’t talk about it.

You can’t tell your team you’re scared.

You can’t tell investors you’re growing too slow.

You can’t show weakness to co-founders.

So you hold it all in.

You skip your salary.

You rack up debt.

You stop resting.

You lose weekends.

You never really unplug.

The signs come before the crash

Here are the early signals I’ve learned to watch for:

1. Sleep is broken

   Not just short. It’s random. You crash at weird times. You wake up drained.

2. Bad decisions

   You move too fast. You skip red flags. You say “yes” because you can’t think straight.

3. No thinking time

   You say yes to everything. Your calendar owns you.

4. Your body feels off

   You skip the gym. Get sick more. Feel tired all day.

5. You snap at people

   Your partner. Your team. And you feel guilty after.

6. You can’t unplug

   You check Slack at dinner. Bring your laptop on vacation.

7. You feel numb

   Nothing feels exciting. You stop caring. That one is serious.

Each of these alone is easy to dismiss.

Bad sleep? Just a busy week.

Skipped gym? I’ll go tomorrow.

Bad hire? That’s startup life.

But they don’t come alone. They stack.

And by the time you notice… you’re already in it .

So what do you do?

First, tell someone.

A founder friend. A coach. A partner. A teammate.

Say the words: I think I’m close to burnout.

Second, book a therapist or coach, even if the first session is weeks away. Just having it on the calendar helps.

Third, remove one thing.

Cancel one meeting.

Drop one task.

Make room to breathe.

And finally, remember this is not a personal failure.

Burnout is a system problem.

You built a system where you never rest, never share your fears, and feel like you have to do everything.

Of course you burned out.

Anyone would.

What actually helps

Not productivity hacks.

Not another tool.

Not a new project.

You need a new system.

That starts with:

• Delegating more

• Setting real work boundaries

• Asking for help

• Accepting that you can’t do it all

The founders who avoid burnout aren’t superhuman.

They just saw it early and made changes.

You can do that too.

Start now.

Spot the signs.

Change the system.

And tell me honestly:

Have you seen any of these signs in yourself lately?

She wasn’t pushed out.

She just knew something else was calling.

“The job was fine. The people were nice. But I could see the trajectory. One day I’d wake up with a nice title and think… I never took a risk.”

So she booked a one-way ticket to Valencia.

And started from scratch.

Today, she runs Imagine That Club, a global community for first-time founders, especially those making the leap from corporate to self-employment. And she’s quietly building one of the most thoughtful founder spaces I’ve seen.

From comfy career to uncertain freedom

Niluka didn’t hate her job. But she had a question she couldn’t shake:

What if I never try?

She didn’t want to be the person who always wondered what could’ve been.

She wanted to work for herself.

And from anywhere.

“A director told me, ‘Maybe focus on just one.’ But I wanted both. So I went for it.”

She left. Moved to Spain. Built her first public speaking business.

Then launched a community for others doing the same.

Starting lean, pivoting fast

At first, Imagine That was for digital nomads, people chasing location freedom.

But she quickly realized something.

The real pain wasn’t travel logistics.

It was the emotional and practical shock of going solo.

“I realized I connected more with people like me. From corporate. Now going into entrepreneurship. That’s who I could really help.”

So she pivoted. Tightened the positioning. And kept building.

Not with ads. Not with fluff.

With people. With connection.

Real talk: the hardest part of leaving

Niluka had a secret weapon: a soft sabbatical clause that let her return to her job if she needed.

“I always share that, because not every leap needs to be extreme. If you’re not competing with your company, have the conversation. Many will welcome you back.”

And yet, even with that safety net, the hardest part wasn’t leaving.

It was deciding to leave.

The overthinking. The what-ifs.

That quiet fear that maybe you’re not ready.

Maybe you’re being naive.

“But once you start doing, the fear shrinks. The worst-case scenario is usually the one you’re already in.”

Burnout isn’t just overwork

Niluka didn’t burn out from long hours.

She burned out from too much movement.

“Two years. Eight countries. A dating app. A startup. It was amazing… and unsustainable.”

So she slowed down. Learned to check in with herself.

And built a lifestyle that didn’t need escaping.

Her routine now is simple:

Move in the morning. Work in focused blocks.

Avoid meetings on deep work days.

Make room to breathe, think, rest.

What she’s seeing in the market

She works with dozens of new founders each month. And here’s what she’s noticing:

• The AI boom lowered the barrier to build, but not the pressure to sell

• Boomers are the most underestimated segment in tech

• Communication and relationship-building are the real unlocks

• Content that’s “too perfect” doesn’t convert, real wins

• You don’t need perfect planning. You need momentum

“So much of this game is take action, read the feedback, improve. Then do it again.”

Her stack and workflow

She uses GPT daily, not to outsource her voice, but to speed up her work.

• For content: ideation, tone tweaking, caption brainstorming

• For sales: templates, CRM updates, light prospecting

• For balance: writing clarity, not writer’s block

“It’s my sparring partner. But I never let it speak for me.”

What success means now

It’s not about a million dollars in Bali.

And it’s not about escaping work.

It’s about doing meaningful work, on your terms, without sacrificing your health or your relationships.

“I want to make as much as I can, while still having time freedom and quality of life.”

That means choosing clients carefully.

It means knowing when to say no.

And it means building a life you don’t need a vacation from.

My takeaway

Niluka’s story isn’t about breaking out.

It’s about tuning in.

To yourself.

To your energy.

To the kind of life you want to build.

She didn’t wait until burnout.

She didn’t wait for a fundraise.

She just started. And she kept listening.

And in the middle of a noisy, AI-driven world, she’s quietly building something that can’t be automated:

Belonging.

🎧 Full episode live now

Connect with Niluka on LinkedIn: https://www.linkedin.com/in/nilukakavanagh/

Learn more about ImagineThat: https://beacons.ai/imaginethatclub

Become a Club Member: https://www.imaginethatclub.com/club

If you’re Richard Chen, you quit your job and build a logistics platform from scratch.

That frustration became the spark behind FlexHaul-an AI-powered operating system for warehouses and small trucking companies, many of which still run on Excel, phone calls and hope.

In this episode of The Founders Chat, Richard shares how he went from shipping ML models to shipping freight-and why logistics might be the most overlooked startup opportunity of this decade.

It started with one slow delivery

TikTok was betting big on live shopping.

But when Richard used it himself, his package took three weeks to arrive. By the time it landed, he’d forgotten he’d even ordered it.

“The problem wasn’t content or demand. It was logistics.”

Amazon set the bar. Everyone else fell short.

That became FlexHaul’s origin insight.

The real opportunity wasn’t in e-commerce. It was in warehouses.

Richard started with integrations-FedEx, UPS, USPS-aiming to help e-commerce sellers route smarter.

But something unexpected happened.

Warehouses showed more urgency than storefronts.

They weren’t managing 1 brand. They were managing dozens.

• Orders in spreadsheets

• Pricing by guesswork

• Fulfillment by phone call

FlexHaul pivoted to serve them directly.

Today, they focus on:

• Warehouse operators

• Mid-market logistics teams

• Small trucking companies (90% in the US own fewer than six trucks)

“More than 25 percent of US trucking companies don’t use any software.”

Why others failed where FlexHaul is winning

Richard studied logistics startups that collapsed-Convoy, Zum.

Their mistake? Overreliance on AI models that couldn’t adapt to economic shocks.

When COVID hit, demand spiked. After, it cratered. Their algorithms couldn’t keep up.

“Human brokers adjusted. AI didn’t.”

FlexHaul took a different path:

Use AI as leverage. Keep humans in the loop.

The engineer-to-founder transformation

Richard spent over a decade building at Meta and TikTok.

He loved building-but realized he didn’t know how to sell.

“As engineers, we think: if I build it, they’ll come. That’s not how it works.”

He had to learn:

• Sales

• Contracts

• Pricing

• Customer discovery

• Leadership and delegation

His edge? He could offer to build custom integrations for customers-himself.

“That closed deals. Fast.”

How FlexHaul uses AI

The stack:

• Python FastAPI

• React Native

• GCP + Docker

• Cursor

They use ChatGPT-5 for product planning.

Then run PRDs through Cursor:

• Reads the codebase

• Connects to GCP

• Executes shell commands

• Flags bugs

• Suggests fixes

• Plans projects

“Cursor is our second engineer. We fix bugs before customers notice.”

Why he builds solo

Richard had co-founders before. It didn’t end well.

“I build faster alone. Fewer misalignments. Zero drama.”

He’ll add a co-founder later-once the foundation is solid.

The weight of it all

Richard came to the US as an immigrant. His dad worked overseas. Responsibility hit early.

Now:

• He works more than ever

• He takes melatonin to sleep

• His brain won’t switch off

“I’ve learned more in 12 months of founding than in 15 years of employment.”

The mistake that nearly broke him

Early on, he built first. Sold later.

Warehouses destroyed his assumptions.

“They showed me how little I knew. That’s when I leveled up.”

What new founders get wrong with AI

AI is fast. But that’s the danger.

“If you don’t have judgment, AI just helps you ship the wrong thing faster.”

Engineering still requires:

• Debugging

• Architecture

• Systems thinking

• Scar tissue from 3 a.m. outages

Success, redefined

“Success is owning my time. That’s what I’m building toward.”

Message to customers

FlexHaul solves problems fast. Sometimes before you even see them.

They’re not selling features. They’re building reliability.

Message to investors

FlexHaul is bootstrapped.

“We’ll raise once the revenue base is stronger. I want to de-risk this before I bring in capital.”

His superpower?

“I never quit. And I always assume I might be wrong. That lets me learn faster than everyone else.”

Full Episode below

What’s your story? Leave it in the comments!

They’ve worked with major firms, built teams across Europe, and lived through every wave, from mainframes to machine learning.

But it wasn’t until this year that he finally went all-in on his own company: Agentix Global. Alongside his longtime co-founder James, they left the safety of big firms to build something leaner, faster, and way more human.

Their pitch?

No pipelines.

No excuses.

You get candidates in 72 hours.

“If we don’t find someone in 3 days, the problem is the job spec and not our network.”

It sounds bold. Unrealistic, even. But they’re doing it. And their approach is turning heads.

A recruiter duo 25 years in the making

Mark and James aren’t new partners. They’ve worked together for over a decade, from Computer People to Hayes to Acorn. They’ve billed millions, built specialist teams, and seen how slow and bloated hiring has become.

Their bond? It runs deep. Mark’s daughter thinks they’re brothers.

“He’s my work husband. We just get it. If one drops the tools, the other picks them up. No ego.”

Now they run Agentix like they ride bikes and DJ house sets: fast, loud, and a little rebellious.

The promise: 72 hours to talent

Here’s what Agentix does differently.

1. You give them a role and sign terms

2. You brief them with what matters

3. They find candidates in under 3 days

4. You interview within 48 hours

5. You move or you don’t

“We’ve placed in 2 hours. Other times it takes 72. But the bottleneck is never sourcing. It’s decision speed.”

They don’t sugarcoat things. If a candidate doesn’t exist, they’ll say it. If your expectations are unrealistic, they’ll tell you.

They focus on tech, AI, and data roles across the UK, UAE, and EU. And they don’t spread roles across 10 agencies. It’s one role, one team, one clear delivery.

Why hiring got so slow

Mark’s take is simple. Hiring is broken not because of lack of talent, but because of bloated process.

• 6 rounds of interviews

• Ghosting candidates

• Unclear ownership

• Too many people involved

• Decision-makers dragging their feet

Agentix runs lean. They do the first screen. They get technical input from the hiring manager upfront. They send unformatted CVs and personal notes. Real people, real conversations.

“We’re not an AI messaging bot. We’re two humans who have done this for 25 years. We’ll call your candidate at 7 a.m. while feeding our kids if we have to.”

Built on something deeper

You feel it when Mark talks. This isn’t just a job. It’s personal.

His six-year-old daughter is a cancer survivor. Stage 4 liver cancer at age two. Multiple surgeries. A year in a hospital bed.

Now? She snowboards, swims, paddleboards, and goes to school like a rocket.

“She’s my drive. Agentix was built with that energy. Try new things. Do them well. Move fast.”

That’s why the brand is loud. That’s why the team is lean. That’s why they care more about relationships than automation.

The real shift in tech hiring

We talked about where hiring is going.

• Communication is more important than coding

• Offices are coming back (but not full-time)

• AI is eating admin, not creativity

• Human connection matters more than ever

“We’ve placed top Blue Prism developers, then watched an LLM beat them in accuracy. But guess what? The AI couldn’t explain it to the client. That’s where humans win.”

Mark believes tech hiring is no longer about “who can code the best.” It’s about who can learn, explain, and work well with others.

My takeaway

Agentix is what recruiting should look like in 2025.

• Real specialists, not volume hunters

• Speed without shortcuts

• Trust built through calls, not automations

• A hiring experience candidates actually enjoy

Mark and James are proving you can work faster, better, and more human, even in an AI-dominated world.

“We’re not corporate. We’re platinum. We care.”

They might not be writing the next LLM, but they’re finding the people who will.

🎧 Full episode live now | The Founders Chat

But that’s exactly what T.B. and his dad are doing with SlashPulse.

After years bouncing between crypto gigs, freelance contracts, and startup experiments across Europe and Latin America, T.B. landed in Dubai. What he found was a region where everything runs on WhatsApp. But no one was replying.

“We were trying to rent a flat at 6 a.m. Everyone was on WhatsApp. No one replied. Eight hours later, they said ‘sorry, it’s gone.’ That’s when I knew we could build something better.”

Building bots in the DMs

SlashPulse helps small businesses automate customer support inside WhatsApp, Instagram, and now LinkedIn.

Think: Intercom, but native to the platform. No plugins. No code. No friction.

The result is simple.

• Customers get replies faster

• Agents don’t have to reveal their personal number

• Business owners stop losing money while they sleep

About 40 percent of support is handled automatically. The rest is handed off to a human. Seamlessly.

“We’re all back-office for the customer, but they never see the chaos.”

A startup built with code and trust

The team? Just two co-founders. T.B. and his dad.

T.B. writes the code. His dad brings experience in economics and software. They’re bootstrapped. Lean. Scrappy. And they still do support themselves.

“I had no choice. He said: doctor or programmer. I chose programmer.” (It’s a joke)

They’ve grown into Meta partners and built a real product that businesses rely on. But they’re hiring carefully. Contractors for now. Full team later.

Sales are harder than code

T.B. doesn’t hide it. Selling to small businesses is brutal.

• Everyone wants customization

• No one wants to pay upfront

• Margins are small

• Cycles are long

He gets daily LinkedIn DMs from “sales pros” promising the world, but most ask for $10K upfront before showing results.

“I can test a developer. I can’t test a salesperson until they sell.”

So he’s doing it himself. Calls, demos, follow-ups. It’s messy. But it’s working.

Training for more than product-market fit

What keeps him grounded? Ironman training.

He’s preparing for a 70.3 in Nottingham. I might join him.

We talked about Zwift bikes, injuries, cold mornings, and that moment when you finally hit flow mid-run.

“When I stop training, I feel worse. It’s like a loop. More movement means more energy. Less movement means I crash.”

Same here.

The AI engine underneath

Their stack is custom-built. NestJS backend. React frontend. Tailwind for UI. AWS and Python infra. LangChain for orchestration.

Clients can plug in their own model (OpenAI or Gemini) and choose bot “personalities” like receptionist, hotel clerk, or virtual assistant.

They run context windows through checkpoints. Summarization happens on the fly. Memory is layered. Fast, light, and functional.

“It’s like binary search for chat history. The LLM only sees what it needs to.”

But T.B. isn’t naive about the AI race.

“Everyone’s building wrappers. What happens when models can handle 100,000 tokens? All those layers disappear.”

We both agreed. Owning the customer relationship is what lasts.

Redefining success

T.B. used to think success meant money.

“You think once the money hits, you’ll feel something. But you don’t. You just start chasing the next thing.”

Now his north star is helping people. And finding balance.

If he could talk to his younger self?

“Don’t sell your crypto.”

Then he laughs.

“Actually, I’d say take care of your health. The workaholic mode catches up with you.”

My takeaway

Most founder stories skip this part.

The loneliness. The manual outreach. The strain on your sleep and body. The late-night doubts. The silent pride of building something real, with someone you trust.

T.B.’s story isn’t about AI. It’s about craft. About grit. About learning how to work and live in sync with someone who raised you.

A startup is already hard

Building it with your dad? That takes something special

🎧 Full episode

🏃 And maybe, just maybe, I’ll see him at the Ironman finish line in May

At just 20, he’s the co-founder and CEO of Wrappers AI, an AI startup built in Spain’s Basque Country that’s already helping small and medium businesses adopt AI faster and smarter.

Wrappers AI isn’t another chatbot.

It’s a workspace where teams can use pre-built AI agents tailored to their brand, tone, and internal processes.

Think of it as AI for companies, not individuals — tools that work inside teams, across marketing, sales, and operations, with context and structure.

“Each agent understands your company’s voice, mission, and goals,” Jon explained. “We make AI useful from day one. No setup, no prompting, just work.”

From consulting to product

Before Wrappers, Jon worked on AI consulting projects across Europe and Latin America.

Clients kept asking for the same thing: “Can you build something personalized for our company?”

That demand became Wrappers’ origin story.

“We saw companies struggling to adopt AI,” he said. “They didn’t want to build tools. They wanted tools ready to use.”

Jon’s team built the product in just six months.

Today, Wrappers AI is used by marketing agencies and SMBs across Spain and Argentina, helping companies automate workflows and create tailored content that actually fits their brand.

Lessons from the early days

Like most founders, Jon admits the first version wasn’t good enough.

The onboarding process was too complex, and the UX too technical.

So the team rebuilt it from scratch.

“Companies didn’t want to build agents,” he said. “They wanted to upload a few files and start working.”

That insight became a turning point. Wrappers simplified onboarding into two steps: invite your team, upload your brand context, and adoption took off.

What he learned about over-engineering

Jon laughs when asked about technical debt.

“We overbuilt everything,” he said. “We started with a super complex RAG system that nobody needed.”

His biggest takeaway?

Don’t make it perfect, make it work.

Customers rarely care how elegant your backend is. They care how fast it helps them.

“We simplified it and no one complained,” Jon said. “That’s when I realized simplicity scales.”

On the future of AI

Jon believes the next big leap won’t be better chatbots. It will be infinite memory.

“In a few years, you’ll be able to ask your device what you said last week or what task you gave your co-founder,” he said. “That’s when AI becomes truly useful.”

He also sees a world where AI doesn’t just process data. It acts.

“Once AI can interact with the internet and physical world through robots, everything changes,” he said. “That’s the real revolution.”

Success, defined

When asked what success means to him, Jon doesn’t talk about money or funding.

“Success is working on something you’ve chosen, with people you’ve chosen,” he said. “Freedom to choose what, when, and who you work with.”

For now, Wrappers is bootstrapped. The team is growing carefully before raising funds, and Jon prefers it that way.

“We want to raise to grow faster, not just to survive.”

The underrated founder trait: curiosity

Jon started university at 16 and finished at 20.

That same curiosity drives how he builds today.

“If I could talk to my younger self, I’d say: stay curious. Build in public. Learn fast and share it.”

He believes curiosity, not discipline, is the founder’s real superpower.

“Curiosity drives growth. It keeps you moving, even when things don’t work.”

Why this matters

Wrappers AI is part of a bigger trend: the rise of AI-native startups built not around hype but around workflow.

These tools don’t replace people. They amplify them.

Jon Ortega might be 20, but his vision is mature: AI that quietly disappears into the background, helping teams work faster, smarter, and more human.

I’d love to hear from you, which founder should I bring next?

Drop their name (or tag them) in the comments 👇

Full episode:

After a year building for them and talking to hundreds of independent professionals, I’ve seen how fast the solo economy is evolving—and what separates those who thrive from those who fade.

Nearly 30 million solo entrepreneurs in the U.S. contribute $1.7 trillion to the economy. Globally, over 1.57 billion people now work independently. But the rules are changing fast.

AI is quietly reshaping how solo professionals operate. Scheduling, invoicing, writing summaries, or drafting proposals now take seconds. What used to demand time and skill has become effortless.

Technology once rewarded speed and scale. Now it rewards authenticity. The advantage has shifted. You no longer win by being faster. You win by communicating better, building trust, and making people feel understood.

Empathy, storytelling, and clarity have become the new leverage. Everything else is being automated.

If you’re not automating, you’re already behind. The top performers run micro-ops systems—AI workflows that handle the repetitive work. It’s not about being technical. It’s about buying back time.

Every hour you automate is an hour you can invest in relationships, refining your offer, or creating better content.

When we built Nexook, our goal was to simplify life for solopreneurs—one place to run sessions, get paid, and manage clients. But the most successful ones didn’t need us. They had already automated half their operations. What they wanted wasn’t another tool. They wanted visibility, positioning, and clarity.

That insight changed how I think about this space. The next wave of solopreneurs won’t compete on efficiency. They’ll compete on humanity amplified by AI.

If you’re building solo, think of AI as your silent team. Let it handle the routine so you can focus on what only you can do: build trust, deliver value, and communicate with impact.

The best solopreneurs won’t outwork the machine.

They’ll outconnect it.

What do you think, does AI make the solo economy more human, or less?

Join the community now and start connecting!

Cities are choking on traffic. Most cars carry one person. Space is fixed, frustration is not. TRIBBU wants to flip the script by making daily carpooling effortless and rewarding. In this episode, Paloma breaks down how regulation just unlocked cash-back for shared rides, why they pivoted from B2B to B2C, and what it really takes to build a movement, not just an app.

Why TRIBBU now

• Carpooling just got real

  In Spain, shared rides can generate certified energy savings. TRIBBU’s app measures and certifies those savings, which translates into cash-back for users. When policy meets product, behavior changes.

• From enterprise to everyone

  They started as a B2B tool for companies like Mercedes-Benz, Vueling, and Mercadona to match co-workers. It solved density early. With regulation in place, they finally jumped to B2C, where the “party is starting” as Paloma puts it.

• Marketplace on hard mode

  Matching riders is not just supply and demand. It is supply, demand, proximity, schedule, and destination. TRIBBU engineered for all of it.

Paloma’s path

• Left a stable corporate role at Philips Lighting to chase a vision.

• Did not grow up “selling candy in school.” Entrepreneurship clicked after a single class on business models.

• Leads with energy and belief. ADHD and a non-routine style are features, not bugs, in how she creates.

“My routine is to embrace a lifestyle without routine. Different things work for different people. Find yours.”

The recent pivot

• B2B was the bridge to create density and learn.

• B2C is the mission now that incentives exist. Users get money back for rides they already take together. That is how category shifts happen.

Product and tech

• Building the app was “hard, expensive, slow, and worth it.”

• Early architecture choices matter. Beautiful UI on the wrong foundation will stall when it is time to scale.

• Get close to the end user. B2B success can distance you from consumer pain until you choose to close that gap.

Culture and values

• Enjoy the ride

• Only big

• Together is better

TRIBBU is built like its product. Community first. The founders operate like siblings. The vision is unapologetically large.

The hard parts

• Investor pressure

  Paloma shares a candid story about being threatened with a blocked signature during a sensitive moment. Her takeaway is a line in the sand: never accept threats. Close the company if you must. Build again with integrity.

• Execution vs elevation

  Her superpower is elevating people and mindsets. Her weak spot is heads-down execution. Naming both with honesty is how you hire, delegate, and keep momentum.

Messages from Paloma

To customers: admiration. Early carpoolers made the effort before rewards existed. They are “exemplary citizens.”

To investors: trust. The path will not match any single recipe. Purpose and patience matter.

Success, on her terms

Happiness today, not only at the finish line. Sustainable joy, even through the dips. If the joy stops being sustainable, change something.

My takeaways

• Regulation can be a growth engine. When policy aligns with product, adoption can jump without pushing prices on the end user.

• B2B can seed B2C. Use enterprise to create density, then serve the whole city.

• There is no single founder template. Peak output comes from self-knowledge, not borrowed routines.

Listen to the episode

Hear the full story, including the investor standoff, the B2C launch metrics, and how TRIBBU certifies energy savings inside the app.

🎧 The Founders Chat with Paloma Martín

Subscribe to get new episodes and founder deep dives straight to your inbox.

With a rejection rate of 99.8%, it’s over ten times harder than getting into Harvard.

But here’s the thing: those odds reflect volume, not your potential. Thousands of talented engineers freeze under pressure, fail to prepare strategically, or simply don’t understand what’s actually being evaluated.

After interviewing candidates and helping people navigate these “impossible” interviews, I’ve learned that success isn’t about being a genius. It’s about treating the interview like the exam it actually is, understanding the rubric, and executing a proven framework.

The Uncomfortable Truth: You’re at a Disadvantage If You Don’t Prepare

Most engineers believe their day-to-day work experience will carry them through technical interviews.

It won’t.

Google and similar companies evaluate you on four specific dimensions:

1. Algorithms — Data structures, time/space complexity, and optimization ability

2. Coding — Clean, bug-free, idiomatic code with clear variable naming

3. Communication — Articulating thought process, tradeoffs, and clarifying questions

4. Problem-Solving — Structured reasoning and handling ambiguity

Each interviewer scores you in these areas. Those numbers decide whether you’re a “Strong Hire”, “Hire”, “Lean Hire”, “Lean No Hire”, “No Hire“ or “Strong No Hire”.

Your real-world skills matter, but interviews test a specific skill set that requires deliberate preparation.

Think of it this way: you wouldn’t run a marathon without training, even if you jog regularly. Interviews are the same.

Before the Interview: Gather Intelligence

Ask your recruiter everything. Most candidates don’t.

When you get the call, extract as much information as possible:

• How many rounds will there be, and what type is each one? (coding, design, behavioral)

• What level are you interviewing for? (This changes question types, but you might not get an answer here as sometimes the level is flexible)

• Who’s interviewing you? (In Google they won’t tell you, but there is nothing wrong in asking, and you’ll probably get a name in other companies)

• What does success look like in the first 90 days?

• Why is this position open? (new headcount, backfill, team expansion?)

• What technologies does the team use? (If you’re not applying to a generic role)

• What can I read or review to prepare?

This information is gold.

Inside the Interview: The Framework That Works

Once you’re in the room (or on Zoom), success depends on running a process that keeps you calm and consistent.

1. Clarify Requirements

In coding interviews, never start coding immediately. The ambiguity is intentional.

Google wants to see how you handle unclear problems.

Ask about:

• Input constraints (array size, string length)

• Edge cases (empty inputs, duplicates)

• Output format

• Performance requirements

Write assumptions down if you’re remote. It creates alignment and shows you’re methodical.

2. Apply a Framework

For behavioral questions, use STAR (Situation, Task, Action, Result):

• Situation (20%): Set the scene

• Task (10%): Define the goal

• Action (60%): What YOU did, specifically

• Result (10%): The measurable outcome

Spend most of your time on Action — that’s where interviewers see your decision-making.

For coding questions, follow this mental model:

1. Understand the problem (restate it)

2. Explore examples

3. Plan your approach (discuss tradeoffs)

4. Implement cleanly

5. Test edge cases

6. Optimize

This is exactly what Google evaluates: structure, logic, clarity.

3. Use the Shared Document Strategically

If you’re coding in a shared doc, write out:

• Clarifying questions

• Your plan before coding

• Test cases

• Complexity analysis

This keeps you organized and lets the interviewer see your thinking when you’re quiet.

4. Listen Actively

If your interviewer interrupts or asks a question, stop.

They’re often guiding you toward a better approach.

Pay attention to:

• Questions about your method (you might be off-track)

• Requests for clarification (they’re confused)

• Suggestions to consider a new angle (strong hint)

The best candidates treat interviews like collaborative problem-solving sessions, not interrogations.

5. Maintain Mental Checklists

For coding rounds, check off:

• Imports handled

• Variables named clearly

• Code is DRY

• Edge cases covered

• Time and space complexity stated

• Tested with sample inputs

For system design (L5+):

• Functional and non-functional requirements defined

• Capacity estimates

• High-level diagram

• API design

• Database schema

• Bottlenecks identified

• Tradeoffs discussed

These checklists keep your performance consistent under pressure.

The Non-Technical Edge

Technical skill gets you in the door.

But these often-overlooked factors help you stand out.

Prepare Questions

Have 3–5 thoughtful ones ready:

• “What’s the team’s biggest technical challenge?”

• “What does success look like in 90 days?”

• “How do you approach code review and collaboration?”

These show genuine curiosity and maturity.

For Google specificall

y, only ask team questions if you are speaking with the hiring manager.

Prepare Stories

Keep a bank of 8–10 stories that show:

• Conflict resolution

• Leadership or initiative

• Handling failure

• Collaboration

• Ambiguity

Don’t memorize. Just map which story fits which trait.

When asked “Tell me about a time you failed,” you’ll already have a few strong options.

Googleyness Matters

Google screens for Googleyness: adaptability, humility, initiative, and collaboration.

Emphasize:

• How you acted under uncertainty

• Times you took initiative

• How you handled feedback

• Doing the right thing over the easy thing

When You Get Stuck (And You Will)

Every interviewer expects you to struggle.

What matters is how you respond.

Try this sequence:

1. Acknowledge and clarify: “Let me make sure I understand the constraint around X.”

2. Think aloud: “I’m considering using a hashmap, but handling duplicates is tricky…”

3. Draw or visualize the problem

4. Connect to patterns you know

5. Offer a brute-force solution first

6. Ask for guidance: “I’m exploring X but hitting a wall with Y. Am I close?”

Silence kills. Keep them engaged.

And remember: if you never get stuck, they might think you’ve seen the problem before.

The 3-Month Preparation Plan

Time commitment: ~11 hours/week

Month 1: Core fundamentals (data structures, complexity analysis)

Month 2: Pattern recognition (100–150 problems grouped by topic)

Month 3: Mock interviews, behavioral prep, company-specific questions

Focus areas for Google by frequency:

1. Graphs/Trees — 39%

2. Arrays/Strings — 26%

3. Dynamic Programming — 12%

4. Recursion — 12%

5. Math/Geometry — 11%

Don’t grind LeetCode blindly.

Study one topic, then practice it. Use structured sets like Blind 75 or Neetcode 150.

If your interview is on-site, practice on a whiteboard. It feels completely different.

The Real Secret

Google’s process isn’t designed to find the smartest people.

It’s designed to reject risk.

They’d rather miss a few great candidates than hire a bad fit.

Your job isn’t to be perfect.

It’s to demonstrate consistent competence, clarity, and collaboration.

Preparation turns chaos into predictability.

Once you’ve mastered patterns, practiced storytelling, and internalized structure, the “impossible” interview becomes just another test you’re ready for.

And suddenly, that 0.2% success rate doesn’t look so scary anymore.

Ricardo Driza started with a spreadsheet.

He’s the founder of Driza, a marketing consultancy that flips the traditional model on its head, leading with financial modeling before creative strategy.

Instead of asking, “What campaign should we run?”, Ricardo asks, “Can your balance sheet survive it?”

From Illustrator to Founder

Ricardo’s path wasn’t a straight line.

He began as an illustrator, moved into painting, and eventually found himself running digital projects.

Then, in March 2020, at the worst possible time, he quit his job without a plan.

Within a month, freelancing snowballed into a full-time business. Driza was born.

“It wasn’t planned. I had too many clients, so I created a company.”

What started as an ad agency evolved into something far deeper.

Clients began trusting him not just with their campaigns, but with their spending decisions, and that changed everything.

The Finance-First Approach

Driza doesn’t begin with creative briefs.

It begins with budget realism.

“We run the numbers with you before you spend a cent.

If your lifetime value doesn’t cover your cash flow, we tell you not to do it.”

That means telling founders what most agencies won’t: when the math doesn’t work.

They benchmark across more than 200 projects and verticals, helping startups understand if their marketing plans are financially survivable.

Lessons from a Co-Founder Split

Ricardo built Driza with his best friend from university until they split in 2024.

The experience reshaped how he thinks about partnerships.

“You don’t need a co-founder you can hire.

If it’s not intrinsic to your business, pay for the hours. It’s cheaper than the fallout.”

Today, he runs multiple ventures, including Driza and a pie shop in Madrid, yes, really.

From Data to Dough

While Driza helps startups spend smarter, his second business sells American pies.

His partner missed American pie in Spain, so they opened the first shop in Madrid.

“It takes three days to make one pie.

It’s beautiful… and a logistical nightmare.”

Every Thanksgiving, expats line up for pumpkin and pecan pies, and even dogs get their own “puppy pies.”

On AI, Marketing, and What’s Next

Driza experiments with AI for research and projections but avoids hype.

“AI saves time, but most companies aren’t ready.

Their data lives in silos. Without structure, AI can’t fix it.”

He believes many industries still underestimate how digital younger buyers already are and how quickly their expectations will reshape every business.

“In ten years, your customers will all be digital natives.

If you’re not ready for that, you’re already behind.”

What He’d Tell His 22-Year-Old Self

“Go bigger.

Set impossible goals.

You’ll find a way anyway.”

Ambition, he says, compounds like interest. Every risk teaches something, as long as you learn fast.

Message to Founders

“Most startups underestimate the cost of growth.

They have great products but no idea how much it’ll cost to scale.

Ask before you spend, even if it’s just for advice.”

That clarity, Ricardo believes, can save a startup before the first euro leaves the bank.

His Superpower

“I’m incredibly productive.

I delegate fast, automate everything, and stay ahead of my own team.

It drives them crazy, but it creates speed.”

🎧 Watch the full episode → YouTube: Ricardo Driza on Building Driza & Why Finance Comes Before Marketing

Fares Amer built a business he truly understood.

After two failed startups and years working across Africa, Asia, and Europe, he stopped chasing unicorns and focused on something real: pharmaceutical distribution.

“I went bankrupt twice. That’s when I decided to build something I actually know how to manage.”

Today, Amerfarma is a licensed pharmaceutical distributor based in Spain. It connects manufacturers, hospitals, and pharmacies, ensuring essential medicines reach the markets that need them most.

Sometimes, that means filling shortages in Europe itself. Other times, it’s getting life-saving drugs to underdeveloped regions that global giants overlook.

Building what others ignore

“People think big companies like Pfizer or GSK are everywhere. They’re not. Many countries don’t have access to their products.”

Amerfarma finds those gaps, registers products locally, and becomes the official representative for these manufacturers.

It’s not just logistics. It’s strategy — connecting need, regulation, and trust.

Lessons from failure

Before Amerfarma, Fares built startups that didn’t make it. He raised venture capital, built teams, and tried to grow fast.

It ended the way it often does: burnout, pressure, and debt.

“The startup world is obsessed with raising capital. First raise, second raise, Series A. But what about revenue? What about profit?”

After losing everything twice, he realized that true entrepreneurship isn’t about hype, it’s about sustainability.

“When you have a family and bills to pay, you need stability. Once you build that, then you can create things that help society.”

The mindset shift

Now, Amerfarma is profitable. Fares runs it lean, values ethics above everything, and plays the long game.

“I saw too many people sign contracts that meant nothing. I wanted to build a company with my rules, with ethics. When clients choose you, they’re choosing trust.”

Trust is a word he repeats often: with customers, suppliers, and employees. It’s what keeps relationships alive in an industry where one broken promise can end a deal forever.

The boring life that works

Fares wakes up at 6 a.m., prays, drinks coffee in his garden, and works out before starting his day.

He calls it “a boring life”, but it’s exactly what makes him productive.

“I used to sleep 3 hours a night. Now I sleep 7. I need routine to stay sharp. I eat clean, train hard, and focus on what matters.”

Fitness isn’t just a hobby. It’s how he manages stress.

He laughs when he says it: “You need to sweat every day. That’s how I stay sane.”

Perseverance, not obsession

Fares calls perseverance his superpower, but it’s one he’s learned to control.

“If you knock on a door ten times and it doesn’t open, maybe it’s not your door. I learned to see the line: when to stop. No project is worth your health.”

He’s pragmatic now. He knows when to pivot, when to push, and when to walk away.

A balanced definition of success

“Success is the day I stop working out of necessity and start working for fun, with freedom, time, and peace of mind.”

He smiles when he says it. After all the stress, bankruptcy, and rebuilding, Fares has earned that peace.

My takeaway

Fares’ story is a rare kind of entrepreneurship: grounded, mature, and deeply human.

He’s not chasing hype or exits. He’s building something that lasts.

And maybe that’s what real success looks like: knowing your craft, protecting your energy, and building on experience instead of ego.