Zapvertising: When Advertising Stops Spying on You

> Note: I was walking like for three hours and in the middle of that, I started recording this. I tried to put some order in the idea, edit a little but I hope you enjoy as much as I when I edited all this.

Intro

Digital advertising is undergoing a quiet transformation. For more than two decades, we accepted what seemed like an inevitable trade-off: free access to online platforms in exchange for allowing them to collect information about us. Over time, that logic evolved from a simple way of funding digital services into the primary economic engine of the world's largest technology companies. Today, much of the digital economy depends on the mass collection of personal data, the construction of behavioral profiles, and the ability to predict what we will do, what we will buy, or even what content will capture our attention next.

The emergence of Bitcoin, followed by the Lightning Network and, more recently, decentralized protocols such as Nostr, opens the door to a different possibility. Not because they eliminate advertising, but because they rethink the way advertising can be funded and distributed. Instead of relying on constant user surveillance, they propose a model where monetization emerges from voluntary exchanges of value between individuals.

Within this context, a new concept is beginning to take shape: Zapvertising. The term combines two ideas. On one side is the Zap, the instant transfer of satoshis through the Lightning Network integrated into Nostr. On the other is Advertising, the traditional practice of promoting products and services. Together, they raise an intriguing question: Is it possible to build an advertising model that economically rewards both creators and advertisers without turning the user into the product?

I'm not pretending that Nostr will replace today's social networks, nor claim that Zapvertising has already become an established standard.

I want to explore how changing economic incentives can give rise to a fundamentally different way of thinking about digital advertising. Because history shows that truly disruptive innovations are often not new technologies themselves, but new incentive structures that reshape the behavior of everyone involved.

How Digital Advertising Evolved

Advertising has always followed human attention. When television dominated entertainment, advertisers competed for airtime during the most popular programs. When newspapers were the primary source of information, companies paid to occupy valuable space on their pages. The internet did not change this principle—it simply multiplied its possibilities.

The early years of the web were dominated by an extremely simple model. Websites displayed static banner ads, and advertisers paid based on the number of times those banners were shown. It was a relatively indiscriminate form of advertising: nearly every visitor saw the same message regardless of their interests, age, or behavior.

The rise of search engines, particularly Google, marked the first major transformation. Instead of displaying advertisements randomly, ads became linked to what users were actively searching for. If someone searched for "buy a bicycle," showing advertisements for bicycle shops made perfect sense. This dramatically improved advertising efficiency because it responded to an explicit expression of user intent.

The next revolution arrived with the expansion of social media. Facebook, Instagram, X, and other platforms introduced an entirely new level of audience segmentation. It was no longer enough to know what someone was searching for. Platforms now knew who users were, who they interacted with, which pages they followed, what they shared, what interested them, and even aspects of their personal relationships.

Advertising shifted from being organized around keywords to being organized around digital identities and communities. Businesses could target campaigns based on age, location, profession, hobbies, political interests, or countless other variables. The more precise the segmentation became, the greater the commercial value of the advertisement.

With advances in artificial intelligence and recommendation systems, advertising entered yet another stage. Algorithms evolved beyond classifying users into predefined categories. They began to infer future behavior. A person no longer needed to explicitly express interest in a product. It became enough for their browsing patterns to suggest a high probability that they might become interested.

At that point, advertising ceased to be merely a mechanism for selling products. It became an industry dedicated to predicting human behavior. The objective was no longer simply to respond to existing demand, but increasingly to anticipate it.

From a commercial perspective, this transformation produced extraordinary results. Campaigns became more efficient, conversion rates increased, and digital platforms developed business models capable of generating billions of dollars in annual revenue.

But this economic success came at a cost.

As advertising became more precise, the need to collect information about users grew exponentially. Every click, every "like," every second spent watching a video, every search, every interaction, and every relationship between individuals became valuable data. What had originally seemed like a simple exchange between users and platforms gradually evolved into a system where continuous data collection became one of the most valuable economic assets in the digital world.

It was during this evolution that a now-famous phrase became commonplace:

"If the service is free, you are the product."

Yes but no. It's incomplete. The user is not exactly the product. The real product is the user's ability to generate data that can be used to build increasingly accurate models of future behavior. That distinction changes the entire conversation.

Why Today's Model Depends on User Surveillance

The phrase "If you're not paying for the product, you are the product" has been repeated so often that it has almost lost its impact. Yet behind that familiar expression lies a much deeper economic reality.

The largest digital platforms do not derive their competitive advantage simply from hosting billions of users. Their real asset is their ability to understand human behavior better than almost anyone else. Every interaction becomes a signal. Every click, every search, every comment, every shared photo, and every additional second spent inside the platform provides information that can be used to construct increasingly sophisticated predictive models.

In other words, these companies do not merely want to know who you are.

They want to estimate what you are likely to do next. That predictive capability has enormous economic value because it allows advertisers to reach people at precisely the moment they are most likely to purchase a product or engage with a service.

This is where the concept of digital surveillance enters the discussion. Not necessarily as a dramatic conspiracy or cinematic espionage, but as an economic model built upon the continuous collection of behavioral signals. Platforms must observe users to improve their predictions. And the more they observe, the more accurate their models become.

From this perspective, data collection is no longer a secondary consequence of providing a digital service.

It becomes one of the service's primary economic objectives.

Ironically, most users accept this exchange almost automatically. We enjoy free access to social networks, messaging apps, video platforms, and search engines without paying directly. Instead, the price is paid differently: by allowing our behavior to generate data that can later be used to optimize increasingly sophisticated advertising systems.

We have become so accustomed to this model that it is often difficult to imagine viable alternatives. We assume that collecting personal information is simply the inevitable price of financing digital platforms.

But that assumption begins to weaken when technologies emerge that make instant payments, global micropayments, and direct value transfers between individuals possible—without requiring personal data to become the platform's primary commercial asset.

It is precisely at this point that protocols such as Nostr and mechanisms like the Zap begin to offer an alternative. Their objective is not to eliminate advertising altogether.

Rather, it is to fundamentally reshape the economic incentives upon which digital advertising has been built.

The Economic Incentives Behind Meta and Google

Technology companies often describe themselves as businesses that connect people, organize information, or facilitate communication. To a certain extent, that is true. But from an economic perspective, these activities are merely the means to achieve a far more profitable objective: capturing human attention.

Attention is the scarcest resource on the internet. Every additional minute a user spends on a platform represents another opportunity to display advertisements, collect behavioral signals, and improve the predictive models that power its business.

Meta, Google, TikTok, and virtually every major digital platform operate according to this logic. Their goal is not simply to display advertisements but to maximize user engagement. The longer someone remains within the platform, the more behavioral data they generate and the more valuable that user becomes to advertisers.

This fundamentally changes the incentives.

Platforms are no longer competing solely to build better products.

They are competing to capture as much human attention as possible.

As a result, their algorithms are optimized to keep users inside the system. Recommendations are shaped not only by users' interests but also by the platform's economic objectives. Content that increases engagement receives greater visibility. Posts that provoke stronger reactions are amplified. Anything that encourages people to spend more time on the platform becomes economically valuable.

This does not necessarily imply deliberate manipulation. Rather, it is the natural consequence of a business model whose revenue depends on maximizing user attention.

In this ecosystem, advertisers also become part of the equation.

Meta and Google are often portrayed as intermediaries connecting businesses with consumers. In reality, the relationship is far more complex. Companies themselves become dependent on the data infrastructure these platforms have built.

A small business that wants to promote a product relies on Meta's or Google's targeting tools. In doing so, it provides information about campaign performance, customer behavior, conversions, and marketing effectiveness. That information, in turn, strengthens the platforms' own machine-learning systems, reinforcing their competitive advantage.

In other words, both users and advertisers feed the same ecosystem.

Users contribute behavioral data.

Advertisers contribute financial resources and commercial data.

The platform orchestrates both flows and captures most of the value they create.

It is therefore no coincidence that the world's most valuable technology companies are also those with the deepest understanding of human behavior.

How Nostr Changes Those Incentives Through the Zap

Against this backdrop, Nostr introduces a radically different approach. More than a social network, Nostr is an open communication protocol. Information does not belong to a single company or depend on a centralized server. Instead, users publish content that is distributed across independent relays. If one relay goes offline, the protocol continues functioning through the others.

This architecture removes one of the defining characteristics of today's social media platforms: there is no single corporation whose profitability depends on monopolizing attention and monetizing user data.

But the real transformation begins when Lightning Network enters the equation.

Within Nostr exists a feature known as the Zap.

A Zap is an instant Lightning payment that allows users to send satoshis directly to someone whose content they appreciate. At first glance, it may resemble a donation, but I believe that definition has already become outdated.

It is not a donation. It is a direct way of supporting another person's work. It's value for value.

If an article teaches me something, if a podcast makes me think differently, or if a post provides genuine value, I can immediately recognize that value by sending a small amount of bitcoin. There is no need for subscriptions. There is no need to wait until the end of the month. There is no payment processor standing in the middle. There is no need to surrender personal information.

There is simply an exchange of value. That seemingly small difference fundamentally changes the economic incentives.

Instead of competing to maximize screen time, creators begin competing to produce content that people voluntarily consider valuable enough to reward. Monetization no longer depends on how many advertisements were displayed. It depends on the value the audience perceives.

The distinction may appear subtle, but its implications are profound. Where traditional platforms require increasingly detailed knowledge about users in order to improve advertising performance, a Zap-based model can generate revenue without making continuous surveillance an economic necessity.

Advertising itself does not disappear.

What changes is the way it is financed.

A Lesson from Base: When Incentives Reward the Wrong Thing

Over the past few years, several social experiments have emerged within the Ethereum ecosystem, particularly on Base. Platforms such as Paragraph and other social applications explored models in which creators could issue their own tokens to build communities and reward participation.

The idea was compelling. If every creator had their own digital asset, their community could participate economically in the project's growth. In practice, however, many of these experiments drifted toward speculation rather than creation.

Conversations increasingly revolved around token prices, market performance, buying and selling, and expectations of future appreciation. The content itself—the very reason these communities were supposed to exist—gradually became secondary.

The incentive shifted away from producing meaningful work and toward maintaining the financial value of the creator's token. In other words, many projects ended up building markets around individuals instead of communities around ideas.

The Zap offers a different path. There is no new token to defend. There is no unnecessary competition between personal cryptocurrencies. There is no pressure to convince others to buy into your own financial asset. There is only Bitcoin serving as the monetary standard and the voluntary recognition of value through individual pieces of content. Creators no longer need to persuade people to invest in them.

They simply need to persuade people that their work deserves to be rewarded.

That distinction places content—not speculation—back at the center of the digital economy.

What Is Zapvertising and Why Could It Become an Alternative?

If a Zap represents an exchange of value between individuals, then it is natural to ask whether the same mechanism can also be applied to advertising. This is where the concept of Zapvertising emerges. The idea is remarkably simple. Instead of paying a centralized platform to inject advertisements based on behavioral profiles, a company can send a Zap*—accompanied by a promotional message—* to a creator or to a specific post.

Advertising is no longer imposed by an algorithm. It becomes attached to a genuine transfer of value. Some creators may welcome these promotional messages. Others may simply ignore them. And that is precisely where one of the model's most interesting characteristics appears. Advertising ceases to be a one-way imposition and becomes a voluntary interaction. The advertiser pays. The creator receives immediate compensation.

The community ultimately decides whether the message contributes value or merely creates noise. This is not a perfect system. Nor does it claim to be. But it introduces a fundamentally different principle: advertising can be financed without depending on the continuous surveillance of users.

Instead of monetizing personal data, it monetizes transparent economic relationships between those who wish to promote something and those who believe that promotion may genuinely benefit their communities.

Perhaps that is Zapvertising's greatest innovation. It is not simply about paying for advertising with Bitcoin. It is about changing the economic incentives that underpin digital advertising itself.

This is not the real solution (today)

No. This is not the solution. Significant challenges remain.

The first is adoption. Nostr remains a relatively small ecosystem compared to platforms with billions of users. As long as that gap persists, the commercial reach of Zapvertising will naturally remain limited.

The second challenge is spam. If promotional messages accompanied by Zaps become too inexpensive, advertisers may flood the network with low-quality content. Social, reputational, or economic filtering mechanisms will likely become necessary to preserve the quality of the user experience without relying on centralized moderation.

Moderation itself presents another challenge. Each Nostr client will ultimately decide how promotional content is displayed, filtered, or prioritized, allowing different approaches to coexist within the protocol.

Finally, an open question remains:

Will businesses actually be willing to abandon a surveillance-based advertising model in favor of one built on voluntary value exchange?

There is no definitive answer. But there is a fascinating experiment already underway. And it deserves careful attention.

So...

For years, we accepted the idea that the internet could only be financed through surveillance-based advertising. We became accustomed to exchanging our personal information for access to "free" services, eventually treating that arrangement as inevitable.

Bitcoin challenged that assumption by demonstrating that economic incentives can be redesigned. Lightning Network proved that value can move instantly between individuals anywhere in the world.

Nostr asks an even deeper question:

> What happens when those value transfers become native to a social network?

Perhaps the most important innovation is not Bitcoin itself as a payment method. Nor is it simply the creation of another decentralized social platform.

The true innovation may lie in redefining the economic relationship between creators, users, and advertisers. In the traditional model, advertising monetizes user attention and personal data.

In a Zap-based ecosystem, monetization begins with the value that people voluntarily recognize in someone else's work. At first glance, that may seem like a small distinction. In reality, it represents a profound shift in paradigm. Because when incentives change, the way people create, share, and reward knowledge changes with them. And perhaps, within that quiet transformation, the next chapter of digital advertising is already being written.

https://stacker.news/items/1514675