- Dec 13, 2023
- 137
- 1
Consumption is changing: the era leap from "Cost Center" to "Contribution Node"
If the past internet was a competition about "traffic", then the future internet will be a revolution about "contribution". For a long time, traditional internet business models have been built on the same structure: user payment, platform profit, and linear flow of value. The more users consume, the higher the cost; the faster the platform grows, the richer the profit. Whether it is OTA, short-term rental platforms, e-commerce, content subscription, food delivery, Meituan, Booking, Airbnb, or any traditional platform, they all ultimately rely on the same economic logic - consumption is just an expense, and the platform is the only profitable party.
However, this linear model naturally has a ceiling: user value cannot be recycled, user behavior cannot be quantified, customer engagement cannot form assets, and user contributions cannot generate benefits. In the world of Web2, the role of users is only "consumers", not "participants" or "nodes". Consumption is cost, which is a rule written in the bones of traditional Internet.
With the rise of Web3, there is a first opportunity for value distribution to be reconstructed, and the "Behavior Financialization" model represented by Coinsidings is the cutting-edge form of this reconstruction. The core concept of behavioral financialization is that user behavior itself has value, and this value should be quantified, rewarded, and ultimately form cumulative benefits. In other words, consumption is no longer a cost, but a contribution; behavior is no longer a consumption, but an asset. Users are no longer traffic, but nodes.
Coinsidings plays a key pioneering role in this transformation. It combines AI, computing power, points, RWA, options, and real cash flow in the tourism economy to build an unprecedented "contribution-driven" value system, making every user's use, consumption, invitation, and even browsing and sharing a source of energy to drive ecosystem growth.
This is the first platform model reversal in the past 20 years of the Internet - value no longer flows unidirectionally, but flows back; no longer centralized control, but collaborative growth.
Coinsidings opens up a whole new era: consumption no longer makes you "poor", but makes you "valuable".
Behavioral financialization: How does Coinsidings make "consumption" a "contribution"?
To make consumption truly have "contribution attributes", what is needed is a computable, verifiable, and financiable behavior mapping mechanism. Coinsidings has achieved this through AI computing power models and option incentive systems.
Coinsidings' behavioral financialization core consists of three layers: quantification of behavior, conversion of contribution, and return of value.
First is the quantification of behavior. Coinsidings fully digitizes user behavior, making every behavior an AI calculation object. When users book hotels, purchase services, invite friends, participate in community content, complete tasks, and engage in other ecosystem activities on the platform, these behaviors will be recognized by the system and immediately entered into the behavior database. AI will generate "behavioral contribution values" for each user in real time based on factors such as user engagement rate, order size, influence, behavior frequency, and ecosystem participation depth, and ultimately convert them into computing power.
The generation of computing power depends not only on the amount, but also on the quality of behavior and the value driven by behavior. For example, if a customer engagement platform discusses and shares content that brings higher conversion, the system will give it higher computing power; if a user invites multiple new users to join the ecosystem, the system will also increase its computing power based on the new growth it brings to the ecosystem; even if a merchant provides high-quality services to users and maintains good ratings, it will also obtain merchant computing power, forming a value cycle for the entire ecosystem.
Secondly, there is the conversion of contributions. In traditional internet, user behavior does not generate any returns; while Coinsidings' behavioral contributions are further transformed into options. Options represent proportional rights to future value and are a form of asset that grows with the growth of the ecosystem. This means that the higher the user's behavioral contribution, the more options they receive; the faster the platform develops, the greater the option value. Compared with many unhealthy incentive methods that use high interest rates to attract users, the option mechanism allows Coinsidings' incentives to come from the real growth of the ecosystem, which is a sustainable and accumulative asset equity, rather than a short-term stimulus that overdrafts the future.
The third is the return of value. The system built by Coinisidings does not end immediately after payment, but forms a complete value cycle. When users engage in consumption behavior, such as booking hotels, the platform's revenue from the order will enter the revenue pool, and then be dynamically distributed by AI to users with computing power and options according to their contribution weights. Here, consumption behavior drives ecosystem growth, growth generates revenue, and revenue flows back to contributors, ultimately forming a driving cycle of "the more value is created, the more it flows back".
The key to this circular mechanism is that users are not "consuming" on the platform, but participating in a system that can continuously increase value. This means that every behavior is not only a current consumption action, but also a driving force for future value.
In the Coinsidings model, behavior is no longer consumption or a "tool" for creating revenue for the platform; behavior itself is an asset and the basic unit for users to obtain future revenue. In this way, the basic logic of the behavioral financialization model is fully established: the more user behavior and ecosystem contribution, the higher the long-term revenue; consumption is no longer payment, but participation; participation is no longer obligation, but value.
AI × Computing Power Model: Users Transform from Consumers to Nodes
The second core breakthrough of the Coinsidings ecosystem is the computing power allocation mechanism after AI intervention, which upgrades the role of users from traditional "consumers" to "nodes". In the traditional internet model, centralized platforms rely on algorithm recommendations to control value distribution, and users have no actual impact on the platform's growth. Coinsidings, on the other hand, regards every user behavior as a "node action" participating in the ecosystem's co-construction, and assigns computing power to each node through AI, making nodes the foundation of system operation.
The role of AI computing power model includes three levels. The first is user portrait. When users consume in Coinsidings, AI will analyze their preferences, behavior paths, historical orders, purchasing power, etc., to generate more accurate character portraits. This portrait is not only used to recommend more accurate travel content, but also combined with the computing power system to let the system understand the user's true contribution to the ecosystem. For example, a user who frequently books high-value room types and has stable activity frequencies in multiple destinations will receive a computing power rating different from that of a "one-time tester".
The second is contribution recognition. AI not only recognizes orders, but also takes into account all multi-dimensional behaviors of users, including team growth, influence dissemination, community participation, and even content quality. This recognition method allows Coinsidings' reward system to distribute incentives more fairly, rather than simply determining profits based on investment amount or recharge amount. This completely breaks the traditional "capital-first" network structure and replaces it with a "behavior-first, contribution-first" participation mechanism.
The third aspect is revenue distribution. In traditional platforms, the use and distribution of platform profits are often controlled by centralized institutions, and users cannot directly benefit from platform growth. In Coinsidings, user computing power is used to participate in the distribution of revenue pools, and platform revenue is returned to users through algorithms, making value flow decentralized from the center. The higher the computing power, the higher the distribution weight; the stronger the contribution, the higher the revenue. Users are not external observers of platform growth, but internal promoters. Every node is participating in value construction, and all nodes may obtain multi-level revenue structures through their own contributions, including point return, revenue release, option distribution, etc.
The changes brought by AI computing power systems are something that the Internet could not achieve in the past - users become "nodes" of the system, rather than passive "users". Nodes have rights, outputs, and ecosystem influence, and can obtain continuous value-added as the system grows and develops. This model not only enhances customer engagement, but also brings a true "self-growth cycle" to the ecosystem, allowing the system to continue to evolve and expand, rather than relying on endless market investment and central resources.
Coinsidings uses AI to make the system fairer, computing power to make participation more transparent, and options to make growth more directional; ultimately, every user has a practical "node value" in the system, achieving a structural upgrade from C (Consumer) to N (Node).
If the past internet was a competition about "traffic", then the future internet will be a revolution about "contribution". For a long time, traditional internet business models have been built on the same structure: user payment, platform profit, and linear flow of value. The more users consume, the higher the cost; the faster the platform grows, the richer the profit. Whether it is OTA, short-term rental platforms, e-commerce, content subscription, food delivery, Meituan, Booking, Airbnb, or any traditional platform, they all ultimately rely on the same economic logic - consumption is just an expense, and the platform is the only profitable party.
However, this linear model naturally has a ceiling: user value cannot be recycled, user behavior cannot be quantified, customer engagement cannot form assets, and user contributions cannot generate benefits. In the world of Web2, the role of users is only "consumers", not "participants" or "nodes". Consumption is cost, which is a rule written in the bones of traditional Internet.
With the rise of Web3, there is a first opportunity for value distribution to be reconstructed, and the "Behavior Financialization" model represented by Coinsidings is the cutting-edge form of this reconstruction. The core concept of behavioral financialization is that user behavior itself has value, and this value should be quantified, rewarded, and ultimately form cumulative benefits. In other words, consumption is no longer a cost, but a contribution; behavior is no longer a consumption, but an asset. Users are no longer traffic, but nodes.
Coinsidings plays a key pioneering role in this transformation. It combines AI, computing power, points, RWA, options, and real cash flow in the tourism economy to build an unprecedented "contribution-driven" value system, making every user's use, consumption, invitation, and even browsing and sharing a source of energy to drive ecosystem growth.
This is the first platform model reversal in the past 20 years of the Internet - value no longer flows unidirectionally, but flows back; no longer centralized control, but collaborative growth.
Coinsidings opens up a whole new era: consumption no longer makes you "poor", but makes you "valuable".
Behavioral financialization: How does Coinsidings make "consumption" a "contribution"?
To make consumption truly have "contribution attributes", what is needed is a computable, verifiable, and financiable behavior mapping mechanism. Coinsidings has achieved this through AI computing power models and option incentive systems.
Coinsidings' behavioral financialization core consists of three layers: quantification of behavior, conversion of contribution, and return of value.
First is the quantification of behavior. Coinsidings fully digitizes user behavior, making every behavior an AI calculation object. When users book hotels, purchase services, invite friends, participate in community content, complete tasks, and engage in other ecosystem activities on the platform, these behaviors will be recognized by the system and immediately entered into the behavior database. AI will generate "behavioral contribution values" for each user in real time based on factors such as user engagement rate, order size, influence, behavior frequency, and ecosystem participation depth, and ultimately convert them into computing power.
The generation of computing power depends not only on the amount, but also on the quality of behavior and the value driven by behavior. For example, if a customer engagement platform discusses and shares content that brings higher conversion, the system will give it higher computing power; if a user invites multiple new users to join the ecosystem, the system will also increase its computing power based on the new growth it brings to the ecosystem; even if a merchant provides high-quality services to users and maintains good ratings, it will also obtain merchant computing power, forming a value cycle for the entire ecosystem.
Secondly, there is the conversion of contributions. In traditional internet, user behavior does not generate any returns; while Coinsidings' behavioral contributions are further transformed into options. Options represent proportional rights to future value and are a form of asset that grows with the growth of the ecosystem. This means that the higher the user's behavioral contribution, the more options they receive; the faster the platform develops, the greater the option value. Compared with many unhealthy incentive methods that use high interest rates to attract users, the option mechanism allows Coinsidings' incentives to come from the real growth of the ecosystem, which is a sustainable and accumulative asset equity, rather than a short-term stimulus that overdrafts the future.
The third is the return of value. The system built by Coinisidings does not end immediately after payment, but forms a complete value cycle. When users engage in consumption behavior, such as booking hotels, the platform's revenue from the order will enter the revenue pool, and then be dynamically distributed by AI to users with computing power and options according to their contribution weights. Here, consumption behavior drives ecosystem growth, growth generates revenue, and revenue flows back to contributors, ultimately forming a driving cycle of "the more value is created, the more it flows back".
The key to this circular mechanism is that users are not "consuming" on the platform, but participating in a system that can continuously increase value. This means that every behavior is not only a current consumption action, but also a driving force for future value.
In the Coinsidings model, behavior is no longer consumption or a "tool" for creating revenue for the platform; behavior itself is an asset and the basic unit for users to obtain future revenue. In this way, the basic logic of the behavioral financialization model is fully established: the more user behavior and ecosystem contribution, the higher the long-term revenue; consumption is no longer payment, but participation; participation is no longer obligation, but value.
AI × Computing Power Model: Users Transform from Consumers to Nodes
The second core breakthrough of the Coinsidings ecosystem is the computing power allocation mechanism after AI intervention, which upgrades the role of users from traditional "consumers" to "nodes". In the traditional internet model, centralized platforms rely on algorithm recommendations to control value distribution, and users have no actual impact on the platform's growth. Coinsidings, on the other hand, regards every user behavior as a "node action" participating in the ecosystem's co-construction, and assigns computing power to each node through AI, making nodes the foundation of system operation.
The role of AI computing power model includes three levels. The first is user portrait. When users consume in Coinsidings, AI will analyze their preferences, behavior paths, historical orders, purchasing power, etc., to generate more accurate character portraits. This portrait is not only used to recommend more accurate travel content, but also combined with the computing power system to let the system understand the user's true contribution to the ecosystem. For example, a user who frequently books high-value room types and has stable activity frequencies in multiple destinations will receive a computing power rating different from that of a "one-time tester".
The second is contribution recognition. AI not only recognizes orders, but also takes into account all multi-dimensional behaviors of users, including team growth, influence dissemination, community participation, and even content quality. This recognition method allows Coinsidings' reward system to distribute incentives more fairly, rather than simply determining profits based on investment amount or recharge amount. This completely breaks the traditional "capital-first" network structure and replaces it with a "behavior-first, contribution-first" participation mechanism.
The third aspect is revenue distribution. In traditional platforms, the use and distribution of platform profits are often controlled by centralized institutions, and users cannot directly benefit from platform growth. In Coinsidings, user computing power is used to participate in the distribution of revenue pools, and platform revenue is returned to users through algorithms, making value flow decentralized from the center. The higher the computing power, the higher the distribution weight; the stronger the contribution, the higher the revenue. Users are not external observers of platform growth, but internal promoters. Every node is participating in value construction, and all nodes may obtain multi-level revenue structures through their own contributions, including point return, revenue release, option distribution, etc.
The changes brought by AI computing power systems are something that the Internet could not achieve in the past - users become "nodes" of the system, rather than passive "users". Nodes have rights, outputs, and ecosystem influence, and can obtain continuous value-added as the system grows and develops. This model not only enhances customer engagement, but also brings a true "self-growth cycle" to the ecosystem, allowing the system to continue to evolve and expand, rather than relying on endless market investment and central resources.
Coinsidings uses AI to make the system fairer, computing power to make participation more transparent, and options to make growth more directional; ultimately, every user has a practical "node value" in the system, achieving a structural upgrade from C (Consumer) to N (Node).