What Is a Minimum Viable Product Really? (Beyond the Hype)

TL;DR: What Is a Minimum Viable Product Really? (Beyond the Hype)

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What Is a Minimum Viable Product Really? (Beyond the Hype) means the smallest credible test that shows whether real people care enough to act, not the smallest app you can code. For you as a founder, that can save time, money, and months of building the wrong thing.

• The article argues that a first version does not need to be software. It can be a waitlist page, a Tally form, a manual service, a Figma prototype, a sales page, or even a sharp social post if it proves demand, behavior, or willingness to pay.
• The main lesson is to match the test to your question: test demand with a landing page or outreach, test behavior with a prototype or manual workflow, and test technical feasibility with a rough build only when needed.
• The author’s experience from CADChain and Fe/male Switch shows that small tests reveal confusing messaging, weak positioning, and real buyer intent much faster than a polished product.
• What counts is proof: replies, bookings, payments, repeat use, referrals, and real effort from users. Compliments, views, and vague interest do not count.

This view matches trusted sources on minimum viable product and MVP guide for founders, but pushes one step further: your first test may not look like a product at all. If you want to move faster, define what you need to learn, pick the cheapest credible test, and ship it this week.

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When your startup finally ships an MVP and realizes the V stands for viable, not vibes. Unsplash

WHAT IS A MINIMUM VIABLE PRODUCT REALLY? (BEYOND THE HYPE) is a question I have asked myself more times than I can count.

Not as a researcher. Not as a consultant parachuting into someone else’s startup mess. As a founder who has been building for years across Europe, deeptech, edtech, blockchain, no-code, and AI. I built CADChain for CAD IP protection and compliance, and I also built Fe/male Switch, a startup game for women founders. In both cases, I faced the same ugly little question founders love to dress up in fancy language: what is the smallest thing I need to put into the world to find out if anyone cares?

When I started CADChain, I did not have the luxury of building a polished product in silence and hoping the market would clap. We were dealing with CAD files, digital twins, blockchain anchoring, engineering workflows, and compliance. Complex stuff. The temptation was to overbuild. The right move was to test demand, workflows, and trust in smaller chunks.

And honestly, I got it partly right and partly wrong.

What I learned did not come from startup theatre, university slides, or some guy on LinkedIn calling a half-baked app a genius launch. It came from building, shipping, talking to users, watching female founders test ideas with almost no money, and seeing what actually created signal. My blunt view is this: a minimum viable product is not always a product. Sometimes it is a landing page. Sometimes a Tally form. Sometimes a waitlist. Sometimes a concierge service done manually. Sometimes just a strong social post with a clear call to action.

Here is what actually matters when deciding what your “minimum viable product” really is: not the artifact, but the proof.

What I Chose (And Why It Made Sense For Me)

When I faced this decision in my own ventures, here is what I chose: I treated the first version as a validation machine, not as a small version of the final software.

My situation at the time:

Stage: early and messy, with ideas stronger than resources
Constraint: limited cash, limited team, limited patience for waste
Goal: get proof that real people wanted the thing
Personal priority: speed, autonomy, and learning without begging investors for permission

That choice fit me for a few reasons. First, I am a bootstrapper by instinct. I would rather test five cheap ideas than spend six months raising money to build one expensive guess. Second, I have spent years working across disciplines, from linguistics and education to IP, blockchain, and machine learning. That background taught me that people often confuse complexity with value. They are not the same. Third, I deeply believe no-code plus AI lets founders move absurdly fast if they stop romanticizing custom code too early.

At Fe/male Switch, this was obvious. We did not start by saying, “Let’s build every feature a startup education platform could ever need.” We started with what could create proof. Could women founders engage with game-based startup learning? Would they complete tasks? Would they return? Would they invite others? A working learning loop mattered more than polished software.

At CADChain, the same principle applied in a more technical setting. We needed evidence that engineers, creators, and companies cared about embedded IP protection inside CAD workflows. So the early work was not “build everything.” It was “identify the narrowest workflow where trust, traceability, and controlled sharing matter enough that someone will react.”

What actually happened: the smaller tests gave us better information than the bigger plans. They showed interest patterns, friction points, confusing language, and which promises made people lean in. They also saved us from building features nobody would have used.

If I am being honest about what I got wrong: I still overestimated how much people would understand the idea on first contact. Founders do this all the time. We think the product is obvious because we live inside it. The market does not. The market needs a simpler promise, a narrower use case, and a cleaner ask.

My internal rule now is brutal: if I cannot test the idea in one hour, one day, or one week depending on scope, I still do not understand it well enough.

The meta-lesson is simple. I did not make some universal “right” choice. I made the choice that fit my constraints, my values, and my stage. For a different founder, a different version of minimum might make more sense. The correct first move is always contextual.

What Have I Heard From Hundreds of Founders?

Over years of conversations with women founders, solo founders, and early teams around Fe/male Switch and my wider network, I have noticed a pattern. The happiest founders are not the ones with the most polished first release. They are the ones whose first test matched the real question they needed answered.

The Founders Who Say It Was Worth It

These founders tend to share a few traits:

They are early-stage and cash-conscious.
They care more about proof than appearance.
They can sell manually before they automate.
They see the first release as a learning device, not a monument to their genius.

What they often tell me sounds like this: “I am glad I did not spend months building the wrong thing.” Or: “The ugly version taught me what the real product should be.”

The outcome for these founders is usually one of two things. Either they get early traction and know what to build next, or they kill the idea before it eats too much time and money. Both outcomes are wins. Yes, killing an idea early is a win. Founders need to hear that more often.

The Founders Who Wish They Had Chosen Differently

These founders also share traits:

They confuse “minimum viable” with “small final product.”
They spend too long building before talking to people.
They use software to avoid sales.
They hide behind features when the real problem is weak demand or weak positioning.

What they tell me is painful and familiar: “We built it, but nobody wanted it.” Or worse: “People said it was nice, but nobody paid.”

That second sentence is a founder trap. Compliments are not proof. Signups with no action are not proof. Investor interest is not proof. Paid demand, repeated use, replies, bookings, referrals, and real effort from users are much closer to proof.

When I look deeper, the regret is often not about the tool they chose. It is about the false assumption underneath it. They assumed the first thing to test was software. Often it was not. Often the first thing to test was the problem, the audience, the message, or willingness to pay.

The Founders Who Decide Conditionally

Some founders say: “It depends on what you need to prove.” Those are usually the more experienced ones, and they are right.

If you need to test demand, a waitlist page, cold outreach, a sales page, or a webinar may be enough. If you need to test behavior, you may need a clickable prototype, manual service, or no-code workflow. If you need to test technical feasibility, then yes, you may need a rough working build. Different questions require different forms of evidence.

The Common Thread Across All of Them

The founders who feel good about their decision made it actively. They did not just copy Silicon Valley mythology. They did not follow accelerator dogma. They asked, what am I trying to learn, and what is the cheapest credible test?

The ones who regret it usually acted reactively. A developer wanted to build. A mentor told them they “needed an app.” A founder on X posted a launch screenshot and triggered panic. That is not strategy. That is startup FOMO in a hoodie.

My read: the quality of the first version matters less than the clarity of the question behind it.

What Is a Minimum Viable Product Really?

Let’s break it down. The classic definition most people quote comes from Eric Ries and the Lean Startup world: the minimum viable product is the version of a new product that lets a team collect the most validated learning with the least effort. You can see that definition echoed in sources like Eric Ries on Lean Startup Co. and the Wikipedia definition of minimum viable product.

That definition is still useful, but founders often flatten it into nonsense. They hear “minimum” and build something too weak to create value. Or they hear “product” and assume it must be coded software. Both are mistakes.

A minimum viable product is the smallest test that creates credible market evidence.

Notice the parts of that sentence:

Smallest means you remove waste.
Test means it exists to answer a question.
Credible means the signal is strong enough to trust.
Market evidence means real behavior from real people, not founder fantasies.

So yes, a coded app can be one version. But so can a concierge service, a manual workflow, a webinar with pre-orders, a waitlist page, a Notion landing page, a Tally form, a Stripe payment link, a prototype made in Figma, or even a sharp social post that gets the right strangers to act.

This is where I get provocative. A lot of founders say they are “building an MVP” when they are really building a comfort blanket. Coding feels productive. Design files feel productive. Talking to users, asking for money, and hearing “no” feels awful. So they hide in product work.

That is why I keep saying: anything that validates the idea can count. The market does not care whether your first proof came from code or no-code or duct tape and caffeine. It cares whether you solved something people cared enough to act on.

How Do I Help Founders Decide What Their First Version Should Be?

When a founder asks me what to build first, I use a very simple framework.

Question 1: What Stage Are You Actually At?

Not what stage you want to claim on LinkedIn. Your real stage.

Pre-revenue: you are still testing the problem, audience, and message. At this stage, I usually advise founders to avoid heavy coding unless technical proof is the main unknown.
Early sales: now you need evidence of repeatable interest, repeat use, and whether people will pay enough.
Growing revenue: now the issue shifts toward repeatability, margins, onboarding, retention, and what to automate.
Mature early company: now the first version is old news. The real question becomes what to improve, remove, or narrow.

Wrong stage, wrong test. That is why founders waste months.

Question 2: What Are You Trying to Learn?

This is the most overlooked question. Are you testing:

demand
willingness to pay
clarity of message
behavior inside a workflow
technical feasibility
channel response, such as SEO, X, Reddit, email, or partnerships

If your question is demand, code is often overkill. If your question is technical feasibility in a deeptech product, code may be unavoidable. Founders should match the test to the unknown, not to their ego.

Question 3: What Is Your Real Risk Tolerance?

Not fake founder bravado. Real risk tolerance.

How much money do you have?
How long can you survive without revenue?
Can you sell manually before building?
Do you have dependents?
Will a failed test hurt your bank account or just your pride?

Many successful founders have low personal risk tolerance and high testing tolerance. That is my favorite combination. Protect your downside. Run lots of cheap experiments. Bootstrap if you can. Learn fast.

Once a founder answers these three questions, the right first version usually becomes obvious. Or at least obvious enough to test this week.

What Counts as a Real First Version, and What Does Not?

Here is a practical list. These can all count as a real minimum viable product if they answer the right question.

Things That Can Count

A waitlist page with a clear promise and a measurable signup rate
A Tally form that captures intent, use case, and contact details
A social media post that pulls qualified replies, demos, or signups
A no-code workflow built with tools like Airtable, Notion, Zapier, Softr, Glide, or Bubble
A concierge service where you manually deliver the result before building software
A prototype in Figma or another design tool to test navigation and interest
A sales page with a payment button or pre-order offer
A webinar or workshop that sells the promised result first
An email sequence that tests whether people care enough to reply or book
A narrow plugin or micro-tool that proves one painful use case

Things That Usually Do Not Count

a vague “coming soon” page with no clear promise
friends saying they like the idea
investors saying the market is hot
thousands of views with zero intent
a prototype nobody tested
a large product with no proof that anyone needs it

The dividing line is simple. Did someone do something meaningful? Did they sign up, reply, pay, book, refer, return, or ask for more? If not, you may have created noise, not evidence.

What Do Trusted Sources and Famous Examples Actually Show?

Startup culture loves examples, so let’s use them carefully. Many well-known writeups repeat the same lesson: start with the smallest version that can test the thesis. Sources such as Atlassian’s guide to minimum viable products, Coursera’s explanation of minimum viable product, ProductPlan’s minimum viable product glossary, and Shortcut’s minimum viable product guide all stress early learning and fast market testing.

The classic examples matter because they expose what founders get wrong:

Dropbox is often remembered as a product story, but the early famous test was a video. The point was not fancy engineering. The point was demand validation.
Airbnb started in a scrappy, manually operated way. The point was to prove people would host and book.
Zappos tested whether people would buy shoes online before building huge retail infrastructure.

Those examples support my argument, not the hype machine. The early test was whatever got credible proof fastest. Not whatever looked most impressive to other founders.

If you want broader reference points, you can also compare how sources like NetSuite’s expert guide to minimum viable product, Slickplan’s article on minimum viable product and validated learning, and University of Michigan’s article on why minimum viable products matter frame the concept. They all circle back to reducing waste and learning from early users. I agree with that part. I just think founders need to go one step further and admit that the first useful test may not look like a “product” at all.

What Data Have I Seen From My Community?

I do not claim some giant academic sample. What I do have is years of talking to founders, especially women founders, many of them early-stage, many bootstrapping, many learning through action inside startup communities and startup game environments.

Here is what I keep seeing:

Founders who test demand before building tend to waste less time.
Founders who manually deliver the outcome first often understand their market better.
Founders who start with no-code reach market signal faster than founders who wait for custom development.
Founders who learn distribution early, especially SEO, community posting, and direct outreach, are far more dangerous than founders who only “ship product.”

The biggest surprise for many people is this: the strongest first proof is often not technical at all. It is behavioral. Did people show up? Did they answer? Did they buy? Did they return? Did they invite others?

Another surprise is gendered. Many women founders underestimate how much they can validate before asking for permission, money, or a technical co-founder. I care about this deeply. We do not need more women being told to “dream bigger” while waiting for gatekeepers. We need more women shipping tests, collecting proof, and building leverage.

Infrastructure beats inspiration. That is one reason I push no-code, AI, startup communities on X and Reddit, and real-world founder practice over passive startup education.

What Mistakes Turn a First Version Into a Waste of Time?

Let’s get practical. These are the errors I see again and again.

Building too much. You packed in features before proving demand.
Building too little. The first version was so weak that users could not get the promised result.
Testing with the wrong audience. Friends, startup peers, and random followers are not your market.
Asking vague questions. “Would you use this?” is almost worthless. Ask for action.
Avoiding payment tests. If payment matters, test payment.
Ignoring distribution. A good first version with no traffic proves nothing.
Waiting for developers. Often unnecessary at the start.
Confusing compliments with traction. Founders love praise. The bank account does not.
Not defining success before launch. If you do not know what result would count, you will rationalize anything.

Here is my harsher take. Incubators and accelerators are often overrated for this stage. Many founders would learn more by posting on X for 30 days, joining startup subreddits, building three no-code tests, and talking to ten strangers than by sitting through startup theory sessions. Entrepreneurship is not learned by vibe absorption. It is learned by shipping, selling, and surviving contact with reality.

And yes, I know that sounds rude. Good. Startups are rude to delusion.

How Can You Build a Real First Version in an Hour, a Day, or a Week?

I say this often and I mean it: almost anyone can build a real first test in an hour. Not a full company. Not a polished platform. A test.

In One Hour

Write a one-sentence promise.
Create a Tally form or simple signup page.
Post the offer on X, LinkedIn, Reddit, or in a niche community.
Ask people to book, sign up, or reply.

In One Day

Build a simple landing page in Carrd, Notion, Framer, or another fast tool.
Add a waitlist, payment link, or application form.
Set up an email sequence.
Send direct outreach to the exact audience.

In One Week

Build a no-code workflow that delivers one narrow result.
Run manual fulfillment behind the scenes if needed.
Track signups, replies, conversions, and repeat use.
Refine the message based on real behavior.

Next steps matter. Do not just launch and stare at analytics like they are holy scripture. Talk to people. Ask why they signed up. Ask why they ignored it. Ask what confused them. Ask what they expected. AI can help you draft messages, pages, scripts, and analysis. If you still think AI cannot act like a co-founder for early-stage work, I will say it bluntly: that is a skill issue.

Also, learn your own distribution. Learn SEO. Learn messaging. Learn basic automation. Learn enough to know what to hire later. Founders who can build and market their own first test have a giant advantage.

What Would I Do Differently If I Could Rewind?

I would go even narrower, even sooner.

Not because the original choices were all wrong. Because I now trust smaller tests more than I used to. I would spend less time polishing language nobody had earned yet. I would ask for proof earlier. I would push payment tests earlier when money was part of the model. I would also rely even more on no-code and AI before touching custom development.

I would be less impressed by startup theatre too. Less time with advisors who talk in generic frameworks. More time with founders one step ahead. More time in communities. More time publishing ideas in public and watching what people actually respond to.

The lesson is not that your first decision must be perfect. The lesson is that your first decision should create information quickly. Then you adjust.

What Do I Tell Female Founders Who Ask Me This?

When a woman founder asks me what a minimum viable product really is, I do not start with software. I start with agency.

I tell her this decision is not happening in a vacuum. She is building inside an ecosystem that often gives women less room for mess, less room for bluffing, and less automatic credibility. Fine. Then we build proof faster.

I ask the same questions I covered above. What stage are you at? What are you trying to learn? What is your real risk tolerance? And then I add one more question: what can you test this week without waiting for permission?

Women do not need more empty motivation. We need more infrastructure. More tools. More no-code. More AI literacy. More distribution skills. More safe places to test. More founder communities. More practical systems that reduce dependence on gatekeepers.

That is why I care so much about bootstrapping and fast validation. Bootstraping beats VC dependence for most early founders because it forces market contact. It forces clarity. And it protects your freedom while you are still learning what the business actually is.

So my advice is blunt: do not wait for the perfect tech stack, co-founder, incubator, consultant, or investor. Build the smallest credible proof now. If it is a post, make it a sharp post. If it is a Tally form, make it a targeted Tally form. If it is a no-code tool, make it solve one painful thing well enough that people act.

You have more options than the ecosystem tells you. And more power than you think.

The Real Answer

If I had to compress this into one sentence, it would be this: a minimum viable product is whatever gives you the fastest credible proof that the market cares.

Not whatever looks like a startup. Not whatever makes you feel busy. Not whatever makes an investor nod. Proof is the point.

That is why the hype around minimum viable products has confused so many founders. They focus on the artifact and ignore the evidence. They ask what to build before they ask what to learn.

So make this simple. Define the question. Pick the cheapest credible test. Put it in front of real people. Watch what they do. Then build the next thing only after reality earns it.

That is what a minimum viable product really is beyond the hype.

FAQ on What Is Seed Stage Funding Really? (Debunking Myths)

How can seed-stage myths distort your priorities when validating ideas?

Seed-stage myths often push founders to chase polished pitches or big bets instead of quick, credible proofs. The smarter path is to seek immediate signals of real demand through cheap experiments, then iteratively learn before raising capital. Read the Seed Stage Funding Myth Debunking piece Explore evidence-based MVP concepts Understand MVPs as learning loops

What kinds of cheap experiments tend to yield credible market signals, not just hype?

Focus on tests that force real action: waitlists, pre-orders, or manual delivery of results. These tests reveal willingness to pay, engagement, and retention without heavy engineering. Read the Seed Stage Funding Myth Debunking piece See practical MVP approaches in lightweight formats: MVP basics on Coursera Explore the concept on Wikipedia

How should founders decide between bootstrapping and raising money at seed?

Bootstrapping tends to force market contact and fast learning, reducing risk of misalignment with customers. If you can prove demand with tiny bets, you’ll preserve equity and learn faster than chasing capital for a guess. Read the Seed Stage Funding Myth Debunking piece For context on lean experimentation, see NetSuite’s MVP guide

What is the right balance between building something and validating the idea with tests?

Aim for “the smallest credible test” that answers a core question (demand, willingness to pay, or user behavior). Don’t overbuild or wait for perfect tech; let feedback drive the scope. Read the Seed Stage Funding Myth Debunking piece Learn how MVPs vary in form: Agile Alliance MVP overview

How do you ensure your first test isn’t just communication but actual proof?

Design tests that require user action: signups, payments, or measurable engagement. Verbal praise isn’t proof; concrete behavior is. Read the Seed Stage Funding Myth Debunking piece See how real-world examples validate demand: Dropbox/MVP video discussion

Can no-code or manual processes still yield a credible MVP?

Yes. No-code and concierge approaches can validate core use cases quickly and cheaply, delivering credible signals without heavy dev spend. Read the Seed Stage Funding Myth Debunking piece See MVP flexibility in practice: Figma MVP article

How should you measure success when testing at seed stage?

Define clear, actionable outcomes (signups, bookings, payments, or returning users) before testing. If the outcome isn’t happening, pivot earlier rather than later. Read the Seed Stage Funding Myth Debunking piece Learn about credible MVP metrics: ProductPlan MVP glossary

What role does distribution and messaging play in seed-stage proofs?

Distribution and messaging often determine whether your test reaches the right people and evokes action. A great product idea can fail without correct positioning or channels. Read the Seed Stage Funding Myth Debunking piece See related guidance on testing messaging: Atlassian MVP guide

How can this approach be applied to female-founded startups or more diverse teams?

Lean testing reduces risk and builds operational credibility fast, helping founders with less formal backing prove value quickly. Focus on fast, cheap proofs that generate real signals and leverage ecosystems for feedback. Read the Seed Stage Funding Myth Debunking piece For a broader framework, explore bootstrapping strategies: Bootstrapping Startup Playbook

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.

What Is a Minimum Viable Product Really? (Beyond the Hype) | STARTUP POV