Startup Failures News | October, 2026 (STARTUP EDITION)

TL;DR: Startup Failures News, October 2026: Why 90% of Startups Still Fail and How You Can Beat the Odds

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Startup Failures news, October, 2026 confirms that about 90% of startups still fail, yet over 70% of those failures are preventable. Violetta Bonenkamp (Mean CEO), founder of CADChain and Fe/male Switch, reviewed this month's failure data so you can spot fatal moves early.

The top three startup killers: no market need (42%), running out of cash (29%) and the wrong team (23%). These figures come from IdeaProof's database of 1,092 failures.
Funding does not buy survival: roughly 75% of venture-backed startups fail. Quibi, Convoy and Byju's show that big money makes bad bets bigger.
The numbers often disagree: sources count causes differently and rely on self-reported post-mortems. Treat failure statistics as a risk checklist, not gospel. You can also compare them with startup failure rates by region.
The fix is behavior, not more reading:
- Run 50+ customer interviews before you build.
- Test willingness to pay with deposits, not compliments.
- Write down your cash-out date.
- Sign a co-founder agreement in week one.

Failure rates have barely moved since the 1990s. Founders know the risks but skip the uncomfortable steps. Your best protection is a monthly pre-mortem and a habit of catching early warning signs while mistakes are still cheap. Book five customer conversations this week, and let real buyers tell you whether you are building the right thing.

Check out other fresh startup news and trends that you might like:

Video Localization and Dubbing Statistics (2026) | STARTUP EDITION

When your startup pivots for the fifth time and the only thing still scaling is your coffee addiction. Unsplash

Startup Failures news for October, 2026 delivers a message most founders would rather scroll past: the majority of new companies still DIE, and most of them die from causes their founders could have spotted months before the bank account hit zero. I am Violetta Bonenkamp, also known as Mean CEO. I co-founded the deeptech company CADChain and founded Fe/male Switch, a startup game and online incubator for women. I have watched startups collapse from the inside, from the investor side of the table, and from the “game master” seat where I design simulated failures on purpose. This month I went through the latest failure databases, academic research, and statistics roundups, and I want to show you what the numbers say, where they contradict each other, and what you should do about it this week.

Here is why this matters to you. If you are a founder, freelancer, or small business owner, you are playing a game where roughly 9 out of 10 players lose. The good news is that the losing moves are well documented. According to the IdeaProof startup failure database with 1,092 documented events, more than 70% of startup failures come from PREVENTABLE mistakes. You do not need luck to beat those odds. You need a system.

What does the October 2026 Startup Failures news actually say?

Let’s break it down. I pulled together the most cited numbers from this month’s research round so you can see the full picture in one place. Bookmark this list, because you will want it the next time an investor asks why your company will survive when most do not.

90% of startups fail over the long run. Only about one in ten survives, according to startup failure rate statistics from Exploding Topics.
About 10% fail within the first year, and the failure rate keeps climbing over time. U.S. Bureau of Labor Statistics data cited by Exploding Topics shows most failed businesses are younger than 10 years.
Roughly 75% of venture-backed startups fail, and some estimates put the number far higher, according to the Harvard Law School Forum on Corporate Governance analysis of startup failure.
42% of failed startups built something nobody wanted. No market need remains the number one killer.
29% ran out of cash before turning a profit or reaching the next funding round.
23% had the wrong team: co-founder conflicts, skill gaps, or leadership failures.
$498 billion in capital is documented across 1,092 failure events in the IdeaProof database.
Failure rates have stayed roughly the same since the 1990s across most industries. Thirty years of accelerators, books, and podcasts have not moved the needle much.

That last point is the one that should make you angry. We have more startup education than ever, and the death rate barely changes. My take after two decades of international work and five university degrees, including an MBA: most startup education teaches founders WHAT to know, while failure comes from what founders DO under pressure. Knowing that 42% of startups fail from no market need does not stop you from skipping customer interviews when you are excited about your prototype.

Why do startups fail? The top reasons ranked

Startup failure almost never has a single cause. A company runs out of money because nobody buys, and nobody buys because the team never checked whether anyone wanted the product. Still, ranking the causes helps you decide where to look first. Here are the reasons that show up again and again across the sources, with my commentary from the founder trenches.

1. No market need (42% of failures)

IdeaProof calls this “the #1 startup killer”. The examples it lists are painful to read: Quibi, Juicero, Fast, Homejoy, and Secret. Quibi alone raised $1.75 billion for short-form premium video that viewers did not want to pay for. Exploding Topics frames the same problem differently, reporting that 34% of startup failures come from poor product-market fit. Product-market fit means your product satisfies a strong demand in a market that is big enough to sustain a business.

My view is blunt: building before validating is a form of procrastination. Coding, designing, and branding feel productive, and talking to strangers who might reject your idea feels scary. So founders hide in the build phase. In Fe/male Switch, players cannot unlock product-building quests until they complete customer conversations in the real world. We force the uncomfortable part first, because comfort is where startups go to die.

2. Running out of cash (29% of failures)

IdeaProof lists Bird, Convoy, Canoo, Shyp, and Beepi as cash-death examples. Convoy, the digital freight company, raised around $900 million and still became the biggest failure of 2023 in the database timeline. Runway means the number of months your company can operate before cash runs out at its current burn rate. Exploding Topics puts cash flow and financial problems at 16% of failures, and Revli’s list of 50 startup failure statistics for 2026 adds that 17% of startups fail from overexpansion and 29% fail without a clear monetization strategy.

Here is something nobody says out loud: running out of cash is usually a SYMPTOM. Money runs out because revenue never showed up, or because the team spent like the next round was guaranteed. IdeaProof’s advice is simple: “Model your runway conservatively. Cut costs early when metrics underperform. Always raise before you need to.” I would add one rule from my own playbook: write down the date you will run out of money and put it somewhere you see every morning. Founders who see that date daily make faster, harder decisions.

3. The wrong team (23% of failures)

Co-founder conflicts, skill gaps, and leadership failures kill almost a quarter of startups in the IdeaProof data. Exploding Topics puts team and HR problems at 18%. When I scaled CADChain from about 4 people to around 25 full-time employees between 2021 and 2022, in the middle of a pandemic, I learned that team problems rarely appear as a dramatic fight. They appear as slow decisions, unclear ownership, and polite silence in meetings. By the time the fight happens, the damage is already done.

4. Weak marketing (22% of failures)

According to Exploding Topics, 22% of failed businesses did not use the right marketing strategies. Revli adds that 14% of startups fail due to high customer acquisition costs, meaning the cost of winning each customer was higher than the money that customer brought in. Many technical founders treat marketing as something to “add later”. Later never comes, or it comes when the money is gone.

5. Legal, IP, and technology problems (2% to 7% of failures)

Exploding Topics reports that 2% of startups fail due to legal problems, such as licensing issues, an unsuitable entity structure, or missing partnership agreements between co-founders. Revli cites 7% failing due to intellectual property challenges, and 6% fail from tech problems including poor cybersecurity and outdated solutions.

These numbers look small, and that is exactly the trap. As the CEO of CADChain, a company that builds IP protection tooling for CAD and 3D design files, I see how IP problems hide inside other categories. A startup whose designs get copied by a manufacturer will often record its death as “outcompeted” or “ran out of cash”. The legal root never makes it into the post-mortem. My operating principle is that protection and compliance should be INVISIBLE, built into daily tools so founders and engineers do the right thing automatically instead of discovering their exposure in a lawsuit.

Why do startup failure statistics contradict each other?

If you read three sources, you get three different rankings. IdeaProof says 29% of startups run out of cash. Exploding Topics says 16% fail from cash flow problems. One widely shared summary I saw this month even swapped the numbers, claiming 23% fail from running out of money and 18% from team issues. None of these match perfectly. This is one of the most overlooked stories in this month’s Startup Failures news, so let me explain what is going on.

Multiple causes per failure. The 42% / 29% / 23% ranking, also repeated in Pete Sena’s breakdown of 20 reasons startups fail, lets each startup report several reasons. That is why the percentages add up to far more than 100%.
Single-cause categories. The Exploding Topics breakdown (34%, 22%, 18%, 16%, 6%, 2%, 2%) sums to 100%, which means each failure gets one main label. Cash problems shrink because they get filed under “product-market fit” instead.
Self-reported post-mortems. Most data comes from founders explaining their own failures. People blame cash and timing more readily than their own judgment.
Different definitions of failure. The Harvard analysis defines failure as falling short of an exit that returns money to all equity holders. A company that stays alive but never pays back investors counts as a failure there, and as a survivor elsewhere.
Sample bias. The Kaggle startup failures dataset covering 814 companies spans 1992 to 2024, and only 409 of those companies carry detailed failure-cause flags. Famous failures get documented. Quiet failures of solo founders and freelancers mostly do not.

My advice: stop quoting percentages like gospel. Use them as a checklist of risks, then measure YOUR startup’s exposure to each one. A statistic about other people’s failures cannot tell you which mistake you are making right now. Your own data can.

Which industries and startup types fail the most?

Failure is not evenly spread. Some sectors punish founders much harder because of regulation, long development cycles, or huge capital needs. Here is what the current sources show.

Healthcare: 56% of healthcare startups fail within five years, according to Startup Genome data cited by Revli. Regulatory hurdles and slow development cycles raise the stakes.
Electric vehicles and automotive: IdeaProof calls car building “the hardest startup category”. Canoo appears in its list of cash-death examples.
Fintech and crypto: Neobanks, crypto platforms, and lending startups form a whole failure category. FTX tops the 2022 entry in the IdeaProof timeline.
Artificial intelligence: IdeaProof describes 2023 to 2026 as “the first AI reckoning”. Thin wrappers around someone else’s model are getting crushed as the underlying models improve.
Edtech in India: Byju’s and its $22 billion valuation collapse in 2024 became the symbol of growth-at-all-costs culture.
Venture-backed startups overall: Around 75% fail by the Harvard definition, which shows that outside funding does not buy survival.

If you want to study failures in your own niche, Failory’s database of 400+ failed startups sorts companies by country, city, industry, and cause, including SaaS, marketplace, B2B, and subscription businesses. Spend one evening reading the graveyard of your sector before you spend one more euro on product development. It is the cheapest market research you will ever do.

A word on AI specifically, since I build AI tools for founders myself. I treat AI as a force multiplier for small teams, and I see founders confuse “uses AI” with “solves a problem”. The AI failures of the past three years mostly fall into the oldest category on the list: no market need. The technology changed. The mistake did not.

What can founders learn from the biggest startup failures in history?

The IdeaProof timeline lists the costliest startup failure in selected years. Read it slowly. Every one of these companies had smart people, big money, and confident pitch decks.

2011: Solyndra, $1.1B raised (solar panels)
2013: Better Place, $850M raised (EV battery swapping)
2015: Fab.com, $336M raised (design e-commerce)
2017: Jawbone, $930M raised (wearables)
2018: Theranos, $700M raised (blood testing)
2019: WeWork’s failed IPO, $38B valuation drop
2020: Quibi, $1.75B raised (mobile video)
2021: Katerra, $2B raised (construction tech)
2022: FTX, $32B figure listed (crypto exchange)
2023: Convoy, $900M raised (digital freight)
2024: Byju’s, $22B valuation collapse (edtech)

Here is the pattern I see: huge funding amplified mistakes instead of fixing them. Money let these companies scale before they proved the fundamentals. A bootstrapped founder with a bad idea fails in six months and loses savings. A heavily funded founder with a bad idea can fail for six years and burn a billion. If you are a freelancer or solo founder without venture money, this is your hidden advantage: reality reaches you faster.

The Vine, Quibi, and Glitch lessons

The Fuckup Nights breakdown of Vine, Quibi and Glitch offers three useful case studies. Vine pioneered short-form video long before TikTok and still lost, a lesson in adapting to market change and having a clear monetization plan. Quibi teaches that a big budget cannot replace an understanding of how audiences actually behave.

Glitch is my favorite. It was a creative, collaboration-focused browser game built by Tiny Speck, the company co-founded by Stewart Butterfield. The game failed, and the internal chat tool the team built while making it later became Slack. That story is the best argument I know for treating your startup as a game where the goal is to collect information, assets, and relationships faster than competitors. The Glitch team walked away from a dead product holding a living asset.

Is startup failure actually a bad thing?

The Harvard Law School Forum piece makes a provocative argument. It describes Silicon Valley’s approach to failure as “normalize and redeploy”. Founders and employees can “take a swing and miss” and still get hired or try again, as long as they treat people well. Venture capitalists act as a kind of informal insurance by introducing failed founders to other portfolio companies. The article argues that the ability to fail “with honor” sustains the same system that produces the largest successes in U.S. business.

I agree with half of this. Failure as a learning event is healthy, and Europe still carries too much stigma around it. The other half worries me. The safety net is not evenly distributed. A well-connected founder in San Francisco gets “redeployed”. A first-time female founder in a smaller European city, without investor networks, often just gets debt and a damaged reputation. That is why I say women do not need more inspiration; they need infrastructure. Fe/male Switch exists so women can practice pitching, negotiating, pivoting, and failing in a low-risk sandbox before they burn real capital.

How do you avoid startup failure? A step-by-step guide

Next steps. This is the playbook I use across my own ventures and teach inside our incubator. It combines the IdeaProof validation checklist with lessons from running several companies in parallel. Follow it in order.

Write your riskiest assumption in one sentence. Something like: “Freelance designers will pay €20 per month to protect their files from clients who steal them.” If you cannot write it, you are not ready to build.
Run 50+ customer interviews before writing code. This number comes straight from the IdeaProof checklist. Ask about past behavior (“When did this last happen to you? What did you do?”), never about hypothetical futures (“Would you buy this?”).
Test willingness to pay with money, not opinions. IdeaProof recommends pre-sales or LOIs instead of surveys. An LOI is a letter of intent, a written statement from a potential customer that they plan to buy. A deposit beats an LOI, and an LOI beats a compliment.
Build the smallest testable version with no-code tools. My rule is “default to no-code until you hit a hard wall.” I built the entire Fe/male Switch game and incubator with no-code tooling. If a full educational role-playing platform can launch without an engineering team, your first prototype can too.
Calculate your runway in months and set a “cut costs” trigger. Decide in advance: “If monthly revenue is below X by date Y, we cut expenses by Z%.” Pre-committed decisions beat panic decisions.
Start fundraising when you have at least 9 to 12 months of runway left. IdeaProof’s rule is to raise before you need to. Rounds take longer than founders expect, and desperate founders accept terrible terms.
Sign a co-founder agreement in week one. Cover equity, vesting, roles, decision rights, and what happens if someone leaves. The 2% of legal failures from missing partnership agreements are the cheapest failures to prevent.
Protect your intellectual property early. Record who created what and when, use proper contracts with freelancers and contractors, and know which assets carry your company’s value. Revli’s 7% IP-failure figure should be enough motivation.
Pick one marketing channel and master it. Track customer acquisition cost from the first month. If it costs you more to win a customer than that customer pays you, stop scaling and fix the model.
Run a monthly “pre-mortem”. Gather your team and ask: “It is one year from now and we are dead. What killed us?” Write every answer down, then attack the top three.

A practical example from my own world: when CADChain started shaping its product for CAD users, the temptation was to build a perfect, all-in-one platform. The smarter move was to embed into tools engineers already use, which led to Boris, a plugin for Autodesk Inventor that creates blockchain-anchored digital twins of CAD files and controls sharing rights. Meeting users inside their existing workflow is cheaper to build, easier to sell, and far easier to validate.

What are the most common startup mistakes to avoid?

These are the mistakes I see most often in founders I mentor, players in our startup game, and companies in the failure databases. Read this list as a mirror. If two or more apply to you, act this week.

Falling in love with the solution. Founders defend features instead of investigating problems. Customers do not care how clever your product is.
Counting compliments as validation. “Great idea!” from friends is worthless data. Payment, signed commitments, and repeated usage are real data.
Ignoring customer feedback. Revli reports that ignoring customer feedback raises the failure rate by 14%.
Scaling too early. 17% of startups fail from overexpansion. Hiring and expanding before demand is proven turns small problems into fatal ones.
Having no monetization plan. 29% of startups fail without a clear way to make money. “We will figure out revenue later” is a plan for a funeral.
Shipping poor product quality. 13% fail because the product simply is not good enough, which damages reputation and trust.
Skipping the business plan entirely. 10% fail from inadequate planning. You do not need a 60-page document. You need written assumptions, numbers, and deadlines.
Running messy operations. Revli cites 55% of startups naming operational problems as a factor in their failure. Chaos in invoices, contracts, and processes eats time founders should spend on customers.
Hiring friends instead of skills. Team composition decides execution. Loyalty cannot replace missing competence.
Treating legal and IP as “later” problems. Wrong entity structure, missing contracts, and unprotected designs all come back with interest.

What do the statistics miss about why founders fail?

This is where I want to go beyond the obvious, because the percentages describe WHAT went wrong and rarely WHY founders kept making the same move. Here is my analysis, shaped by my background in linguistics, education, behavior design, and startup finance.

Founders fail from missing competencies, and the research proves it

A peer-reviewed study on startup failure and missing founder competencies analyzed post-mortems written by CEOs of failed startups. The most frequently mentioned deficits were information-seeking and customer service orientation. Founders did not consciously seek and use information for decisions, and they put technology ahead of customer needs. Technical skill gaps, weak analytical thinking, and lack of flexibility followed.

Read that again. The two biggest gaps are curiosity about data and curiosity about customers. Both are BEHAVIORS, and behaviors are trainable. You cannot fix them by reading another article (yes, including this one). You fix them by practicing under realistic pressure, which is exactly why I built gamepreneurship, a learning method that treats entrepreneurship as a role-playing game with real consequences instead of a static course.

Failures cluster, so look for combinations

The Fractl study of 193 failed startups found that failure reasons tend to appear in groups. Team and investor disharmony often travels with lack of financing. Bad timing travels with weak traction and being outcompeted. Inexperience travels with failure to pivot. Fractl also notes that some single causes, like legal challenges or no market need, can be enough on their own to sink a company.

The practical lesson: when you spot one warning sign, go hunting for its partner. If your co-founder relationship feels tense, check your financing situation, because those two problems feed each other. If traction is weak, ask whether your timing is wrong before you blame your marketing.

Comfortable learning produces fragile founders

My strongest belief: “Education must be experiential and slightly uncomfortable.” Courses that feel safe rarely change founder behavior. If 70%+ of failures are preventable and failure rates have barely moved since the 1990s, then the way we prepare founders is not working. Founders need to make decisions with incomplete information and feel the consequences before real money is at stake. That is why our simulated startup village includes quests on fundraising, validation, pivots, and runway, plus offline tasks that force players to talk to real customers.

Parallel entrepreneurship reduces the cost of failure

I run interlinked ventures in parallel: CADChain, Fe/male Switch, and AI tools for founders. People call this risky. I call it reuse. Knowledge, infrastructure, networks, and content move between projects, so a failed experiment in one venture becomes an asset in another. Remember Glitch and Slack. Founders who think in portfolios of experiments lose less when one experiment dies.

Gamification without skin in the game is useless

Many incubators hand out badges, points, and certificates. None of that prevents failure. A learning system only works when actions connect to real-world assets: a validated experiment, a signed LOI, a prototype, an investor contact. If your accelerator program ends with a demo day and zero paying customers, you collected applause instead of evidence.

Startup failure FAQ

What percentage of startups fail?

About 90% of startups fail over the long run, around 10% fail in the first year, and roughly 75% of venture-backed startups fail to deliver a return to all equity holders.

What is the number one reason startups fail?

No market need. 42% of failed startups built something nobody wanted, according to the multi-cause ranking. In single-cause data, poor product-market fit leads at 34%.

Can startup failure be prevented?

Most of the time, yes. IdeaProof reports that more than 70% of failures come from preventable mistakes, mainly skipping market validation and modeling runway too optimistically.

Does venture capital funding reduce the risk of failure?

Not reliably. Around three quarters of venture-backed startups fail, and the most expensive failures in history, from Quibi to Katerra, were heavily funded. Money buys time, and time only helps if you use it to learn.

Which industry has the highest startup failure rate?

Capital-heavy and regulated sectors carry the highest risk. 56% of healthcare startups fail within five years, and IdeaProof names EV and automotive as the hardest startup category.

What should founders do after reading this month’s Startup Failures news?

The October, 2026 picture is clear. Nine out of ten startups still fail, the reasons have not changed in decades, and the majority of those deaths are preventable. Founders keep losing to the same three enemies: building something nobody wants, running out of cash, and assembling the wrong team. The data also shows that famous names and billion-dollar rounds offer zero protection.

Here is your action list for the next seven days:

Book five customer conversations and ask only about past behavior.
Write down your cash-out date and your cost-cutting trigger.
Check your co-founder agreement and IP ownership, especially for work done by freelancers.
Run one pre-mortem with your team and attack the top three threats.
Read ten failure stories from your own industry in Failory or IdeaProof.

As someone who has been named among Europe’s 100 most influential women in startups and VC by EU-Startups, and whose company was selected by the OECD as one of 12 startups worldwide for its Global Blockchain Policy Forum, I can tell you that recognition never protected me from a single bad decision. Systems did. Treat your startup like a strategic game. Your goal is to collect evidence, assets, and relationships faster than your competitors, and to make your mistakes when they are still cheap. The founders who will appear in next year’s failure databases are the ones who read statistics like these and assumed they described someone else. Do not be one of them.

FAQ on Startup Failures, Warning Signs and Survival Strategies in 2026

How can founders tell real demand from polite interest?

Compliments, free waitlist signups and one-off pilots feel like traction but rarely predict revenue. Trust stronger signals: paid orders, repeat usage, unprompted referrals and customers describing a painful problem in their own words. Track these weekly and cut features nobody pays for. Read the June 2026 startup failures breakdown

What are the warning signs of a zombie startup?

A zombie startup survives without making progress. Watch for recurring excuses, such as the next launch, feature, partnership or fundraise "fixing everything." Log every lost deal with the buyer's role, budget, alternatives, objections and real reason. Review the log monthly to see whether trust, pricing or product fit is failing. Spot zombie startup warning signs early

What is a failure ledger and how do I start one?

A failure ledger is a living document that lists every critical assumption with its evidence level, owner, test method, deadline and decision threshold. Start with your five riskiest assumptions and give each one a kill-or-continue date. Review the ledger weekly so uncomfortable truths surface before the cash runs out. Build your own startup failure ledger

Do startups in Europe fail at different rates than in the US?

Yes, local conditions matter. France shows a failure rate of roughly 85%, driven by high labor costs and administrative burden. European B2B buyers also move slower and value trust more. Don't copy US go-to-market playbooks wholesale. Budget for longer sales cycles, and target customers that failed competitors left behind. Compare global startup failure statistics by region

How can women founders improve their startup survival odds?

European female founders often beat global survival averages when they bootstrap or scale efficiently. Use hybrid revenue models where client services fund product experiments. Join sector-specific networks, find mentors early and keep monitoring the market so you pivot based on evidence rather than fear. Explore startup failure analysis for female entrepreneurs

Is bootstrapping safer than raising venture capital?

Often, yes. Bootstrapped European startups tend to outlast VC-backed peers because relying on customer revenue forces early validation and disciplined spending. Fund growth through pre-sales, service income and grants. Raise capital only to accelerate something already proven, not to find out whether anyone wants your product. Follow the Bootstrapping Startup Playbook

Which hidden failure causes do headline statistics miss?

Detailed datasets flag risks that most rankings ignore: platform dependency, losing to tech giants, stagnation after acquisition, overhype, trust breaches and niche limits that block scaling. If your growth relies on a single marketplace, API or social network, build a channel you own and a fallback plan now. Explore the Kaggle startup failures dataset

How can founders run a structured startup risk self-audit?

Researchers group failure factors into six types: organizational, product, human, financial, market and ecosystem (for example, legal challenges). Each quarter, score your startup from one to five on every type. Assign an owner to each weak area, and fix the lowest score before adding new features. Read the core competency deficit study on startup failure

Does team diversity reduce the risk of startup failure?

Diverse teams tend to spot blind spots earlier. Gender-diverse teams are reportedly 21% more likely to outperform less diverse peers, partly because varied perspectives improve problem-solving and customer understanding. Hire for missing skills and viewpoints. Make sure someone owns sales and can translate between technical and customer language. See 50 startup failure statistics for 2026

Which customer interview questions reveal real buying intent?

Skip "Would you buy this?" and test urgency, budget and switching behavior instead. Ask what the problem costs them today, who approves spending, which tools they have tried, and why they switched or stayed. Hesitation about budget or ownership signals curiosity, not purchasing intent.

Violetta Bonenkamp

Violetta Bonenkamp, also known as Mean CEO, is a female entrepreneur and an experienced startup founder, bootstrapping her startups. She has an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 10 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely. Constantly learning new things, like AI, SEO, zero code, code, etc. and scaling her businesses through smart systems.