ABSTRACT

ABSTRACT

With almost 50 billion USD dollars lost in the defi space, Xior AI is a committed to changing the way investor decide though a platform leveraging advanced AI
algorithms to identify high-potential pre-launch DeFi tokens. By meticulously
analysing pre-launch token details, team composition, and social media sentiment,
Xior AI provides an invaluable tool for early-stage DeFi investors. The Xior AI
token, the lifeblood of the ecosystem, will power the platform, incentivise community
participation, and unlock exclusive features.

With almost 50 billion USD dollars lost in the defi space, XiorAI is a committed to changing the way investor decide though a platform leveraging advanced AI
algorithms to identify high- potential pre-launch DeFi tokens. By meticulously
analysing pre-launch token details, team composition, and social media
sentiment, XiorAI provides an invaluable tool for early-stage DeFi investors.
The XiorAI token, the lifeblood of the ecosystem, will power the platform,
incentivize community participation, and unlock exclusive features.

With almost 50 billion USD dollars lost in the defi space, XiorAI is a committed to changing the way investor decide though a platform leveraging advanced AI algorithms to 
identify
high- potential pre-launch DeFi tokens. By meticulously
analysing pre-launch token details, team composition, and
social media sentiment, XiorAI provides an invaluable
tool for early-stage DeFi investors. The XiorAI token, the
lifeblood of the ecosystem, will power the platform,
incentivize community participation, and unlock exclusive
features.

INTRODUCTION

INTRODUCTION

+Mission Statement:

Xior AI is dedicated to empowering retailers and investors with data-driven insights to navigate the dynamic DeFi token market. By providing a sophisticated yet user-friendly decision-making tool, we aim to demystify the complexities of early-stage token investments, enabling informed choices and maximising potential returns.

+Vision Statement:

To become the industry-leading authority on DeFi token analysis particularly pre and early-stage tokens and projects, offering unparalleled tools and insights that foster trust, transparency, and informed decision-making within the crypto investment community.

 

+Industry challenges

The decentralised finance (DeFi) space has experienced rapid growth since its inception, revolutionising traditional financial services. The allure of DeFi lies in its promise of financial inclusion, transparency, and the potential for significant returns. However, the reality is often more complex, marked by challenges that hinder the realisation of its full potential.

A common narrative surrounding DeFi projects is that of a decentralised, fair, and equitable ecosystem. This narrative is often reinforced by the availability of information about the token and the underlying smart contract. However, a closer examination reveals a more nuanced picture. Developers and project owners frequently hold substantial pre-existing stakes in these projects, creating a potential conflict of interest. These individuals may be incentivised to sell their tokens, potentially driving down the price and benefiting themselves at the expense of other investors.

Moreover, the DeFi landscape is not immune to the challenges faced by traditional financial markets. Even experienced developers can encounter issues such as front-running bots and maximum extractable value (MEV). These challenges can be exacerbated by a lack of expertise within the DeFi space, leading to inefficient protocols and vulnerable systems.

Another significant issue plaguing the DeFi ecosystem is the lack of transparency and accountability surrounding new project launches. Pre-launch tokens are often marketed and shared with users through various channels, but information about the development team and the project's audit status may be limited or non-existent. This lack of due diligence can leave investors exposed to potential scams and frauds.

Although various token assessment portals and platforms have emerged, they aim to provide investors with insights into the potential growth and risks associated with new tokens. However, a common limitation of these assessment platforms is their tendency to operate post-launch. This means that investors often rely on reviews conducted after a token has already entered the market. While these reviews can offer valuable information, they may not be accessible to retail investors until a token's market capitalisation exceeds a certain threshold, such as $10 million USD.

This delay in accessing critical information can pose significant challenges for retail investors. By the time a token's market capitalisation reaches $10 million USD, it may have already experienced significant price fluctuations, making it difficult to accurately assess its risk-reward profile.

In conclusion, while DeFi offers immense potential, it is not without its challenges. The narrative of a decentralised and equitable ecosystem is often at odds with the realities of the market. Issues such as insider trading, front-running, lack of transparency and post-launch delayed information can pose significant risks to investors. Identifying these challenges at an early stage maybe crucial to allow retail and larger investors to limit their risk and place an informed stake on new tokens.

 

Reference;


Artificial Intelligence-Based Medical Data Mining, published by Amjad Zia, Muzzamil Aziz, Ioana Popa, Sabih Ahmed Khan, Amirreza Fazely Hamedani and Abdul R. Asif

ALGORITHMIC LITERACY: Generative Artificial Intelligence Technologies for Data Librarians, published Alexandre Semeler1 , Adilson Luiz Pinto2 , Tibor Koltay3 , Thiago Magela Rodrigues Dias4 , Arthur Longoni Oliveira1, José Antonio Moreiro González5, Helen Beatriz Frota Rozados1

 

Bitcoin: A Peer-to-Peer Electronic Cash System published by Satoshi Nakamoto

+Mission Statement:

Xior AI is dedicated to empowering retailers and investors with data-driven insights to navigate the dynamic DeFi token market. By providing a sophisticated yet user-friendly decision-making tool, we aim to demystify the complexities of early-stage token investments, enabling informed choices and maximising potential returns.

+Vision Statement:

To become the industry-leading authority on DeFi token analysis particularly pre and early-stage tokens and projects, offering unparalleled tools and insights that foster trust, transparency, and informed decision-making within the crypto investment community.

 

+Industry challenges

The decentralised finance (DeFi) space has experienced rapid growth since its inception, revolutionising traditional financial services. The allure of DeFi lies in its promise of financial inclusion, transparency, and the potential for significant returns. However, the reality is often more complex, marked by challenges that hinder the realisation of its full potential.

A common narrative surrounding DeFi projects is that of a decentralised, fair, and equitable ecosystem. This narrative is often reinforced by the availability of information about the token and the underlying smart contract. However, a closer examination reveals a more nuanced picture. Developers and project owners frequently hold substantial pre-existing stakes in these projects, creating a potential conflict of interest. These individuals may be incentivised to sell their tokens, potentially driving down the price and benefiting themselves at the expense of other investors.

Moreover, the DeFi landscape is not immune to the challenges faced by traditional financial markets. Even experienced developers can encounter issues such as front-running bots and maximum extractable value (MEV). These challenges can be exacerbated by a lack of expertise within the DeFi space, leading to inefficient protocols and vulnerable systems.

Another significant issue plaguing the DeFi ecosystem is the lack of transparency and accountability surrounding new project launches. Pre-launch tokens are often marketed and shared with users through various channels, but information about the development team and the project's audit status may be limited or non-existent. This lack of due diligence can leave investors exposed to potential scams and frauds.

Although various token assessment portals and platforms have emerged, they aim to provide investors with insights into the potential growth and risks associated with new tokens. However, a common limitation of these assessment platforms is their tendency to operate post-launch. This means that investors often rely on reviews conducted after a token has already entered the market. While these reviews can offer valuable information, they may not be accessible to retail investors until a token's market capitalisation exceeds a certain threshold, such as $10 million USD.

This delay in accessing critical information can pose significant challenges for retail investors. By the time a token's market capitalisation reaches $10 million USD, it may have already experienced significant price fluctuations, making it difficult to accurately assess its risk-reward profile.

In conclusion, while DeFi offers immense potential, it is not without its challenges. The narrative of a decentralised and equitable ecosystem is often at odds with the realities of the market. Issues such as insider trading, front-running, lack of transparency and post-launch delayed information can pose significant risks to investors. Identifying these challenges at an early stage maybe crucial to allow retail and larger investors to limit their risk and place an informed stake on new tokens.

 

Reference;


Artificial Intelligence-Based Medical Data Mining, published by Amjad Zia, Muzzamil Aziz, Ioana Popa, Sabih Ahmed Khan, Amirreza Fazely Hamedani and Abdul R. Asif

ALGORITHMIC LITERACY: Generative Artificial Intelligence Technologies for Data Librarians, published Alexandre Semeler1 , Adilson Luiz Pinto2 , Tibor Koltay3 , Thiago Magela Rodrigues Dias4 , Arthur Longoni Oliveira1, José Antonio Moreiro González5, Helen Beatriz Frota Rozados1

 

Bitcoin: A Peer-to-Peer Electronic Cash System published by Satoshi Nakamoto

+Mission Statement:

Xior AI is dedicated to empowering retailers and investors with data-driven insights to navigate the dynamic DeFi token market. By providing a sophisticated yet user-friendly decision-making tool, we aim to demystify the complexities of early-stage token investments, enabling informed choices and maximising potential returns.

+Vision Statement:

To become the industry-leading authority on DeFi token analysis particularly pre and early-stage tokens and projects, offering unparalleled tools and insights that foster trust, transparency, and informed decision-making within the crypto investment community.

 

+Industry challenges

The decentralised finance (DeFi) space has experienced rapid growth since its inception, revolutionising traditional financial services. The allure of DeFi lies in its promise of financial inclusion, transparency, and the potential for significant returns. However, the reality is often more complex, marked by challenges that hinder the realisation of its full potential.

A common narrative surrounding DeFi projects is that of a decentralised, fair, and equitable ecosystem. This narrative is often reinforced by the availability of information about the token and the underlying smart contract. However, a closer examination reveals a more nuanced picture. Developers and project owners frequently hold substantial pre-existing stakes in these projects, creating a potential conflict of interest. These individuals may be incentivised to sell their tokens, potentially driving down the price and benefiting themselves at the expense of other investors.

Moreover, the DeFi landscape is not immune to the challenges faced by traditional financial markets. Even experienced developers can encounter issues such as front-running bots and maximum extractable value (MEV). These challenges can be exacerbated by a lack of expertise within the DeFi space, leading to inefficient protocols and vulnerable systems.

Another significant issue plaguing the DeFi ecosystem is the lack of transparency and accountability surrounding new project launches. Pre-launch tokens are often marketed and shared with users through various channels, but information about the development team and the project's audit status may be limited or non-existent. This lack of due diligence can leave investors exposed to potential scams and frauds.

Although various token assessment portals and platforms have emerged, they aim to provide investors with insights into the potential growth and risks associated with new tokens. However, a common limitation of these assessment platforms is their tendency to operate post-launch. This means that investors often rely on reviews conducted after a token has already entered the market. While these reviews can offer valuable information, they may not be accessible to retail investors until a token's market capitalisation exceeds a certain threshold, such as $10 million USD.

This delay in accessing critical information can pose significant challenges for retail investors. By the time a token's market capitalisation reaches $10 million USD, it may have already experienced significant price fluctuations, making it difficult to accurately assess its risk-reward profile.

In conclusion, while DeFi offers immense potential, it is not without its challenges. The narrative of a decentralised and equitable ecosystem is often at odds with the realities of the market. Issues such as insider trading, front-running, lack of transparency and post-launch delayed information can pose significant risks to investors. Identifying these challenges at an early stage maybe crucial to allow retail and larger investors to limit their risk and place an informed stake on new tokens.

 

Reference;


Artificial Intelligence-Based Medical Data Mining, published by Amjad Zia, Muzzamil Aziz, Ioana Popa, Sabih Ahmed Khan, Amirreza Fazely Hamedani and Abdul R. Asif

ALGORITHMIC LITERACY: Generative Artificial Intelligence Technologies for Data Librarians, published Alexandre Semeler1 , Adilson Luiz Pinto2 , Tibor Koltay3 , Thiago Magela Rodrigues Dias4 , Arthur Longoni Oliveira1, José Antonio Moreiro González5, Helen Beatriz Frota Rozados1

 

Bitcoin: A Peer-to-Peer Electronic Cash System published by Satoshi Nakamoto

XIOR AI THE AI ORACLE

XIOR AI THE AI ORACLE

Xior AI is pioneering a new era of DeFi token investment by leveraging advanced AI technology to eliminate the challenges faced in the Defi and new token launch space by providing investors with comprehensive, actionable insights. Our platform is designed to streamline the complex process of evaluating early-stage tokens, empowering investors to make informed decisions and maximise their returns.

+ Key Features and Capabilities

a. Real-time Social Media Sentiment Analysis: Xior AI's AI algorithms continuously monitor and analyse social media platforms to gauge public sentiment surrounding specific DeFi projects. This includes:

o Key Opinion Leader (KOL) Mentions: Tracking the frequency and nature of mentions by influential figures in the crypto space.

o Views, mentions and Repost Metrics: Assessing the level of engagement and interest generated by project-related content.

o Live Sentiment Updates: Providing real-time snapshots of positive, neutral, and negative mentions, as well as identifying emerging trends and concerns.

 

b. Developer Credibility and Expertise Assessment: Our AI evaluates the experience, qualifications, and track record of the development teams behind DeFi projects. This includes:

o Team Member Background Checks: Verifying the credentials and past achievements of key personnel.

o Experience in Blockchain and DeFi: Assessing the team's proficiency in relevant technologies and their ability to execute on project goals.

 

c. Project Fundamentals Evaluation: Xior AI's AI analyses various aspects of a project's fundamentals, including:

o Roadmap Achievement Likelihood: Assessing the feasibility and potential timeline for project milestones.

o Tokenomics Analysis: Evaluating the token supply, distribution, and utility to determine its economic viability.

o Smart Contract Audits: Verifying the security and integrity of the project's underlying code.

 

+ User-Friendly Dashboard

Xior AI presents its findings in an intuitive and visually appealing dashboard, allowing investors to quickly grasp key insights. The dashboard includes:

a. Scoreboard: A centralised view of project performance across various metrics, enabling easy comparison and prioritisation.

b. Detailed Reports: In-depth analysis of specific aspects, providing investors with a comprehensive understanding of each project.

c. Customisable Filters: The ability to tailor the dashboard to individual preferences and investment criteria.

By combining powerful AI technology with a user-friendly interface, Xior AI is innovating new ways investors evaluate DeFi tokens as Xior AI aims to partner with investors and the community into creating a better assessment towards the future of early stage investing. Our platform empowers individuals to make data-driven decisions, mitigate risks, and capitalise on the immense potential of the DeFi market.

+ Xior AI Utility

At the core of the ecosystem is a firm reliance on token investors, whose contributions are crucial to supporting the development and maintenance of the platform's cutting-edge AI capabilities.

To enhance user experience and access to advanced features, Xior AI offers subscription plans. By subscribing, users can access additional functionalities and token search tools. The revenue generated from these subscriptions is then distributed to benefit both the users and the broader Xior AI community. This mutually beneficial model ensures that the platform's growth and development are aligned with the interests of its users.

Recognising its users' diverse needs, Xior AI supports payments in multiple cryptocurrencies. This flexibility provides users with greater convenience and accessibility, making it easier to participate in the ecosystem and utilize its services. Additionally, Xior AI offers a discount to users who choose to pay for subscriptions using native Xior AI tokens, incentivising token holders and fostering a more vibrant community.

To prioritise security and maintain the integrity of the Xior AI ecosystem,  Xior has implemented an incentive-to-work model. This mechanism ensures that the platform's operations are secure and reliable. Furthermore, Xior AI incentives community feedback and bug bounty programs, rewarding users who contribute to the platform's improvement. The value of these rewards is determined by a supply and demand mechanism, ensuring that they remain attractive and motivating for participants.

+ Subscription Plans

Basic, Users are allowed up to 5 token searches per week. They will be allowed to view open search results only on the first page, and not view more results. Scoreboard displays will be limited to overall rating and not details ratings. This is free model.

Pro, User are able to request up to 30 searches per week with no restriction in the open search and Scoreboard  display. This will cost 189 USD/Month, annually 1588 USD Paid only with $XiorAI tokens. (30% discount)

Premium, User have unlimited search and complete view of the AI search engine results and the Scoreboards displays. This will cost 489 USD/Month, annually 3520.80 USD Paid only with $XiorAI tokens (40% discount)

 

Basic (Free)

· Search Limit: 5 token searches per week

· Search Results: First page only

· Scoreboard: Overall rating only

Pro ($189/month, $1588/year with $XiorAI tokens)

· Search Limit: 30 token searches per week

· Search Results: Complete View

· Scoreboard: Complete display

Premium ($489/month, $3520/year with $XiorAI tokens)

· Search Limit: Unlimited

· Search Results: Complete view

· Scoreboard: Complete display

Note: All monthly subscription plans with payment in $XiorAI tokens can enjoy a 10% discount.

 

+Xior AI Incentive Model


Pro Users

· Contribution: Feedback on dApps and user interface upgrades

· Maximum Reward: 50 $Xior AI tokens per accepted contribution

· Shared Rewards: If multiple users submit the same contribution, the reward will be shared equally.


Premium Users

· Contribution: Feedback on dApps, user interface upgrades, and security or operational enhancement recommendations.

· Maximum Reward:

o 600 $XiorAI tokens per accepted contribution for user interface and general feedback.

o 3000 $XiorAI tokens per accepted contribution for security and enhancement- related updates.

· Bounty Rewards: Opportunity to claim larger incentives (up to 10,000 $Xior AI tokens) for specific bounty programs.

Note: All rewards will be paid in $XiorAI tokens. The specific criteria for accepting contributions and determining reward amounts will be outlined in the Xior AI community guidelines.

Incentive-to-Contribution Model

Pro users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Users are able to attain a maximum up 50 $XiorAI tokens per successfully accepting contribution. In the event the contributions made are the same between a few users the incentive will be equally shared between the Users.

Premium users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Additionally, they are also able to update security or operational enhancement recommendation on our Gitlab portal. There will also be occasion bounty programmers shared with them for a chance of claimed larger incentives. Premium users can attain up to 600 $XiorAI per successful accepting their contribution on the User interface and general feedback and up to 3000 $XiorAI for security and enhancement related updated. Bounty rewards can be up 10000 $XiorAI.  

Xior AI is pioneering a new era of DeFi token investment by leveraging advanced AI technology to eliminate the challenges faced in the Defi and new token launch space by providing investors with comprehensive, actionable insights. Our platform is designed to streamline the complex process of evaluating early-stage tokens, empowering investors to make informed decisions and maximise their returns.

+ Key Features and Capabilities

a. Real-time Social Media Sentiment Analysis: Xior AI's AI algorithms continuously monitor and analyse social media platforms to gauge public sentiment surrounding specific DeFi projects. This includes:

o Key Opinion Leader (KOL) Mentions: Tracking the frequency and nature of mentions by influential figures in the crypto space.

o Views, mentions and Repost Metrics: Assessing the level of engagement and interest generated by project-related content.

o Live Sentiment Updates: Providing real-time snapshots of positive, neutral, and negative mentions, as well as identifying emerging trends and concerns.

 

b. Developer Credibility and Expertise Assessment: Our AI evaluates the experience, qualifications, and track record of the development teams behind DeFi projects. This includes:

o Team Member Background Checks: Verifying the credentials and past achievements of key personnel.

o Experience in Blockchain and DeFi: Assessing the team's proficiency in relevant technologies and their ability to execute on project goals.

 

c. Project Fundamentals Evaluation: Xior AI's AI analyses various aspects of a project's fundamentals, including:

o Roadmap Achievement Likelihood: Assessing the feasibility and potential timeline for project milestones.

o Tokenomics Analysis: Evaluating the token supply, distribution, and utility to determine its economic viability.

o Smart Contract Audits: Verifying the security and integrity of the project's underlying code.

 

+ User-Friendly Dashboard

Xior AI presents its findings in an intuitive and visually appealing dashboard, allowing investors to quickly grasp key insights. The dashboard includes:

a. Scoreboard: A centralised view of project performance across various metrics, enabling easy comparison and prioritisation.

b. Detailed Reports: In-depth analysis of specific aspects, providing investors with a comprehensive understanding of each project.

c. Customisable Filters: The ability to tailor the dashboard to individual preferences and investment criteria.

By combining powerful AI technology with a user-friendly interface, Xior AI is innovating new ways investors evaluate DeFi tokens as Xior AI aims to partner with investors and the community into creating a better assessment towards the future of early stage investing. Our platform empowers individuals to make data-driven decisions, mitigate risks, and capitalise on the immense potential of the DeFi market.

+ Xior AI Utility

At the core of the ecosystem is a firm reliance on token investors, whose contributions are crucial to supporting the development and maintenance of the platform's cutting-edge AI capabilities.

To enhance user experience and access to advanced features, Xior AI offers subscription plans. By subscribing, users can access additional functionalities and token search tools. The revenue generated from these subscriptions is then distributed to benefit both the users and the broader Xior AI community. This mutually beneficial model ensures that the platform's growth and development are aligned with the interests of its users.

Recognising its users' diverse needs, Xior AI supports payments in multiple cryptocurrencies. This flexibility provides users with greater convenience and accessibility, making it easier to participate in the ecosystem and utilize its services. Additionally, Xior AI offers a discount to users who choose to pay for subscriptions using native Xior AI tokens, incentivising token holders and fostering a more vibrant community.

To prioritise security and maintain the integrity of the Xior AI ecosystem,  Xior has implemented an incentive-to-work model. This mechanism ensures that the platform's operations are secure and reliable. Furthermore, Xior AI incentives community feedback and bug bounty programs, rewarding users who contribute to the platform's improvement. The value of these rewards is determined by a supply and demand mechanism, ensuring that they remain attractive and motivating for participants.

+ Subscription Plans

Basic, Users are allowed up to 5 token searches per week. They will be allowed to view open search results only on the first page, and not view more results. Scoreboard displays will be limited to overall rating and not details ratings. This is free model.

Pro, User are able to request up to 30 searches per week with no restriction in the open search and Scoreboard  display. This will cost 189 USD/Month, annually 1588 USD Paid only with $XiorAI tokens. (30% discount)

Premium, User have unlimited search and complete view of the AI search engine results and the Scoreboards displays. This will cost 489 USD/Month, annually 3520.80 USD Paid only with $XiorAI tokens (40% discount)

 

Basic (Free)

· Search Limit: 5 token searches per week

· Search Results: First page only

· Scoreboard: Overall rating only

Pro ($189/month, $1588/year with $XiorAI tokens)

· Search Limit: 30 token searches per week

· Search Results: Complete View

· Scoreboard: Complete display

Premium ($489/month, $3520/year with $XiorAI tokens)

· Search Limit: Unlimited

· Search Results: Complete view

· Scoreboard: Complete display

Note: All monthly subscription plans with payment in $XiorAI tokens can enjoy a 10% discount.

 

+Xior AI Incentive Model


Pro Users

· Contribution: Feedback on dApps and user interface upgrades

· Maximum Reward: 50 $Xior AI tokens per accepted contribution

· Shared Rewards: If multiple users submit the same contribution, the reward will be shared equally.


Premium Users

· Contribution: Feedback on dApps, user interface upgrades, and security or operational enhancement recommendations.

· Maximum Reward:

o 600 $XiorAI tokens per accepted contribution for user interface and general feedback.

o 3000 $XiorAI tokens per accepted contribution for security and enhancement- related updates.

· Bounty Rewards: Opportunity to claim larger incentives (up to 10,000 $Xior AI tokens) for specific bounty programs.

Note: All rewards will be paid in $XiorAI tokens. The specific criteria for accepting contributions and determining reward amounts will be outlined in the Xior AI community guidelines.

Incentive-to-Contribution Model

Pro users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Users are able to attain a maximum up 50 $XiorAI tokens per successfully accepting contribution. In the event the contributions made are the same between a few users the incentive will be equally shared between the Users.

Premium users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Additionally, they are also able to update security or operational enhancement recommendation on our Gitlab portal. There will also be occasion bounty programmers shared with them for a chance of claimed larger incentives. Premium users can attain up to 600 $XiorAI per successful accepting their contribution on the User interface and general feedback and up to 3000 $XiorAI for security and enhancement related updated. Bounty rewards can be up 10000 $XiorAI.  

Xior AI is pioneering a new era of DeFi token investment by leveraging advanced AI technology to eliminate the challenges faced in the Defi and new token launch space by providing investors with comprehensive, actionable insights. Our platform is designed to streamline the complex process of evaluating early-stage tokens, empowering investors to make informed decisions and maximise their returns.

+ Key Features and Capabilities

a. Real-time Social Media Sentiment Analysis: Xior AI's AI algorithms continuously monitor and analyse social media platforms to gauge public sentiment surrounding specific DeFi projects. This includes:

o Key Opinion Leader (KOL) Mentions: Tracking the frequency and nature of mentions by influential figures in the crypto space.

o Views, mentions and Repost Metrics: Assessing the level of engagement and interest generated by project-related content.

o Live Sentiment Updates: Providing real-time snapshots of positive, neutral, and negative mentions, as well as identifying emerging trends and concerns.

 

b. Developer Credibility and Expertise Assessment: Our AI evaluates the experience, qualifications, and track record of the development teams behind DeFi projects. This includes:

o Team Member Background Checks: Verifying the credentials and past achievements of key personnel.

o Experience in Blockchain and DeFi: Assessing the team's proficiency in relevant technologies and their ability to execute on project goals.

 

c. Project Fundamentals Evaluation: Xior AI's AI analyses various aspects of a project's fundamentals, including:

o Roadmap Achievement Likelihood: Assessing the feasibility and potential timeline for project milestones.

o Tokenomics Analysis: Evaluating the token supply, distribution, and utility to determine its economic viability.

o Smart Contract Audits: Verifying the security and integrity of the project's underlying code.

 

+ User-Friendly Dashboard

Xior AI presents its findings in an intuitive and visually appealing dashboard, allowing investors to quickly grasp key insights. The dashboard includes:

a. Scoreboard: A centralised view of project performance across various metrics, enabling easy comparison and prioritisation.

b. Detailed Reports: In-depth analysis of specific aspects, providing investors with a comprehensive understanding of each project.

c. Customisable Filters: The ability to tailor the dashboard to individual preferences and investment criteria.

By combining powerful AI technology with a user-friendly interface, Xior AI is innovating new ways investors evaluate DeFi tokens as Xior AI aims to partner with investors and the community into creating a better assessment towards the future of early stage investing. Our platform empowers individuals to make data-driven decisions, mitigate risks, and capitalise on the immense potential of the DeFi market.

+ Xior AI Utility

At the core of the ecosystem is a firm reliance on token investors, whose contributions are crucial to supporting the development and maintenance of the platform's cutting-edge AI capabilities.

To enhance user experience and access to advanced features, Xior AI offers subscription plans. By subscribing, users can access additional functionalities and token search tools. The revenue generated from these subscriptions is then distributed to benefit both the users and the broader Xior AI community. This mutually beneficial model ensures that the platform's growth and development are aligned with the interests of its users.

Recognising its users' diverse needs, Xior AI supports payments in multiple cryptocurrencies. This flexibility provides users with greater convenience and accessibility, making it easier to participate in the ecosystem and utilize its services. Additionally, Xior AI offers a discount to users who choose to pay for subscriptions using native Xior AI tokens, incentivising token holders and fostering a more vibrant community.

To prioritise security and maintain the integrity of the Xior AI ecosystem,  Xior has implemented an incentive-to-work model. This mechanism ensures that the platform's operations are secure and reliable. Furthermore, Xior AI incentives community feedback and bug bounty programs, rewarding users who contribute to the platform's improvement. The value of these rewards is determined by a supply and demand mechanism, ensuring that they remain attractive and motivating for participants.

+ Subscription Plans

Basic, Users are allowed up to 5 token searches per week. They will be allowed to view open search results only on the first page, and not view more results. Scoreboard displays will be limited to overall rating and not details ratings. This is free model.

Pro, User are able to request up to 30 searches per week with no restriction in the open search and Scoreboard  display. This will cost 189 USD/Month, annually 1588 USD Paid only with $XiorAI tokens. (30% discount)

Premium, User have unlimited search and complete view of the AI search engine results and the Scoreboards displays. This will cost 489 USD/Month, annually 3520.80 USD Paid only with $XiorAI tokens (40% discount)

 

Basic (Free)

· Search Limit: 5 token searches per week

· Search Results: First page only

· Scoreboard: Overall rating only

Pro ($189/month, $1588/year with $XiorAI tokens)

· Search Limit: 30 token searches per week

· Search Results: Complete View

· Scoreboard: Complete display

Premium ($489/month, $3520/year with $XiorAI tokens)

· Search Limit: Unlimited

· Search Results: Complete view

· Scoreboard: Complete display

Note: All monthly subscription plans with payment in $XiorAI tokens can enjoy a 10% discount.

 

+Xior AI Incentive Model


Pro Users

· Contribution: Feedback on dApps and user interface upgrades

· Maximum Reward: 50 $Xior AI tokens per accepted contribution

· Shared Rewards: If multiple users submit the same contribution, the reward will be shared equally.


Premium Users

· Contribution: Feedback on dApps, user interface upgrades, and security or operational enhancement recommendations.

· Maximum Reward:

o 600 $XiorAI tokens per accepted contribution for user interface and general feedback.

o 3000 $XiorAI tokens per accepted contribution for security and enhancement- related updates.

· Bounty Rewards: Opportunity to claim larger incentives (up to 10,000 $Xior AI tokens) for specific bounty programs.

Note: All rewards will be paid in $XiorAI tokens. The specific criteria for accepting contributions and determining reward amounts will be outlined in the Xior AI community guidelines.

Incentive-to-Contribution Model

Pro users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Users are able to attain a maximum up 50 $XiorAI tokens per successfully accepting contribution. In the event the contributions made are the same between a few users the incentive will be equally shared between the Users.

Premium users, can contribute to dApps feedback and user interface upgrades via our Feedback portal in the dashboard. Additionally, they are also able to update security or operational enhancement recommendation on our Gitlab portal. There will also be occasion bounty programmers shared with them for a chance of claimed larger incentives. Premium users can attain up to 600 $XiorAI per successful accepting their contribution on the User interface and general feedback and up to 3000 $XiorAI for security and enhancement related updated. Bounty rewards can be up 10000 $XiorAI.  

MODELS USED

MODELS USED

+ Data Scraping:

a. Identify platforms: Determine the specific platforms to scan (Telegram, Discord, Twitter, Google, etc.).

b. API usage: Utilise available APIs (where possible) to extract data. For platforms without APIs, employ web scraping techniques (e.g., Beautiful Soup, Scrappy).

c. Data extraction: Focus on relevant information like post content, number of views, comments, likes, shares, user profiles, and team member details.

d. Data cleaning: Ensure data consistency and accuracy by handling missing values, duplicates, and inconsistencies.

Converting this to code for twitter;

+ Code Structure:

a. Import Necessary Libraries:

pandas for data manipulation

tweepy for interacting with Twitter API

json for handling JSON data

b. Authenticate with Twitter API:

Use your API keys to create an authenticated client.

c. Search for Tweets:

Use the Twitter API's search function with the keyword "Search name".

d. Create Pandas DataFrame:

Convert the retrieved tweets into a Pandas DataFrame.

e. Filter Data:

Apply filtering conditions based on specific criteria (e.g., tweet language, user location).

+ Natural Language Processing (NLP):

a. Sentiment analysis: Analyse text data (posts, comments) to determine sentiment (positive, negative, neutral).

b. Keyword extraction: Identify key terms related to the project (e.g., project name, token, team members).

- Entity recognition: Extract entities like people, organisations, and locations from text.

+ Data Analysis

Social media metrics: Calculate metrics like engagement rate, growth rate, and audience demographics.

Team analysis: Verify team members' credentials, experience, and background.

Competitor analysis: Compare the project to similar projects based on the same metrics.

+ Score Board

a. Scoring System:

- Weighting: Assign weights to different metrics based on their importance (e.g., social media engagement, team experience, project fundamentals).

- Scoring formula: Develop a mathematical formula to calculate the overall score based on weighted metrics.

- Normalisation: Ensure scores are comparable across different projects by normalising data.

Converting the data extraction into a weighted formula for clearer interpretation;

S = (M₁ * W₁) + (M₂ * W₂) + ... + (Mₙ * Wₙ)

 

·  Mᵢ: Metric i (e.g., social media engagement, team experience, project fundamentals)

·  Wᵢ: Weight assigned to metric i

·  S: Overall score

n is the total number of metrics.

 

+ Machine Learning:

- Feature engineering: Create relevant features from the extracted data.

- Model selection: Choose a suitable machine learning algorithm (e.g., regression, classification) based on the scoring system.

- Model training: Train the model on a labeled dataset to predict scores accurately.

- Model evaluation: Assess the model's performance using appropriate metrics (e.g., accuracy, precision, recall).

+ Data Scraping:

a. Identify platforms: Determine the specific platforms to scan (Telegram, Discord, Twitter, Google, etc.).

b. API usage: Utilise available APIs (where possible) to extract data. For platforms without APIs, employ web scraping techniques (e.g., Beautiful Soup, Scrappy).

c. Data extraction: Focus on relevant information like post content, number of views, comments, likes, shares, user profiles, and team member details.

d. Data cleaning: Ensure data consistency and accuracy by handling missing values, duplicates, and inconsistencies.

Converting this to code for twitter;

+ Code Structure:

a. Import Necessary Libraries:

pandas for data manipulation

tweepy for interacting with Twitter API

json for handling JSON data

b. Authenticate with Twitter API:

Use your API keys to create an authenticated client.

c. Search for Tweets:

Use the Twitter API's search function with the keyword "Search name".

d. Create Pandas DataFrame:

Convert the retrieved tweets into a Pandas DataFrame.

e. Filter Data:

Apply filtering conditions based on specific criteria (e.g., tweet language, user location).

+ Natural Language Processing (NLP):

a. Sentiment analysis: Analyse text data (posts, comments) to determine sentiment (positive, negative, neutral).

b. Keyword extraction: Identify key terms related to the project (e.g., project name, token, team members).

- Entity recognition: Extract entities like people, organisations, and locations from text.

+ Data Analysis

Social media metrics: Calculate metrics like engagement rate, growth rate, and audience demographics.

Team analysis: Verify team members' credentials, experience, and background.

Competitor analysis: Compare the project to similar projects based on the same metrics.

+ Score Board

a. Scoring System:

- Weighting: Assign weights to different metrics based on their importance (e.g., social media engagement, team experience, project fundamentals).

- Scoring formula: Develop a mathematical formula to calculate the overall score based on weighted metrics.

- Normalisation: Ensure scores are comparable across different projects by normalising data.

Converting the data extraction into a weighted formula for clearer interpretation;

S = (M₁ * W₁) + (M₂ * W₂) + ... + (Mₙ * Wₙ)

 

·  Mᵢ: Metric i (e.g., social media engagement, team experience, project fundamentals)

·  Wᵢ: Weight assigned to metric i

·  S: Overall score

n is the total number of metrics.

 

+ Machine Learning:

- Feature engineering: Create relevant features from the extracted data.

- Model selection: Choose a suitable machine learning algorithm (e.g., regression, classification) based on the scoring system.

- Model training: Train the model on a labeled dataset to predict scores accurately.

- Model evaluation: Assess the model's performance using appropriate metrics (e.g., accuracy, precision, recall).

+ Data Scraping:

a. Identify platforms: Determine the specific platforms to scan (Telegram, Discord, Twitter, Google, etc.).

b. API usage: Utilise available APIs (where possible) to extract data. For platforms without APIs, employ web scraping techniques (e.g., Beautiful Soup, Scrappy).

c. Data extraction: Focus on relevant information like post content, number of views, comments, likes, shares, user profiles, and team member details.

d. Data cleaning: Ensure data consistency and accuracy by handling missing values, duplicates, and inconsistencies.

Converting this to code for twitter;

+ Code Structure:

a. Import Necessary Libraries:

pandas for data manipulation

tweepy for interacting with Twitter API

json for handling JSON data

b. Authenticate with Twitter API:

Use your API keys to create an authenticated client.

c. Search for Tweets:

Use the Twitter API's search function with the keyword "Search name".

d. Create Pandas DataFrame:

Convert the retrieved tweets into a Pandas DataFrame.

e. Filter Data:

Apply filtering conditions based on specific criteria (e.g., tweet language, user location).

+ Natural Language Processing (NLP):

a. Sentiment analysis: Analyse text data (posts, comments) to determine sentiment (positive, negative, neutral).

b. Keyword extraction: Identify key terms related to the project (e.g., project name, token, team members).

- Entity recognition: Extract entities like people, organisations, and locations from text.

+ Data Analysis

Social media metrics: Calculate metrics like engagement rate, growth rate, and audience demographics.

Team analysis: Verify team members' credentials, experience, and background.

Competitor analysis: Compare the project to similar projects based on the same metrics.

+ Score Board

a. Scoring System:

- Weighting: Assign weights to different metrics based on their importance (e.g., social media engagement, team experience, project fundamentals).

- Scoring formula: Develop a mathematical formula to calculate the overall score based on weighted metrics.

- Normalisation: Ensure scores are comparable across different projects by normalising data.

Converting the data extraction into a weighted formula for clearer interpretation;

S = (M₁ * W₁) + (M₂ * W₂) + ... + (Mₙ * Wₙ)

 

·  Mᵢ: Metric i (e.g., social media engagement, team experience, project fundamentals)

·  Wᵢ: Weight assigned to metric i

·  S: Overall score

n is the total number of metrics.

 

+ Machine Learning:

- Feature engineering: Create relevant features from the extracted data.

- Model selection: Choose a suitable machine learning algorithm (e.g., regression, classification) based on the scoring system.

- Model training: Train the model on a labeled dataset to predict scores accurately.

- Model evaluation: Assess the model's performance using appropriate metrics (e.g., accuracy, precision, recall).

API EXTENTION

API EXTENTION

+ Twitter

- ``python import pandas as pd import tweepy import json

Authenticate with Twitter API

auth = tweepy.OAuthHandler("your_consumer_key", "your_consumer_secret") auth.set_access_token("your_access_token", "your_access_token_secret") api = tweepy.API(auth)  

 

+ Google chrome

 

'https://apis.google.com/js/platform.js' k.

 

Jason

{

    "manifest_version": 5.1,

 

    "name": "DVB2Calender",

    "description": "This extension will export the current viewed schedule to your Google Calender.",

    "version": "1.0",

 

    "content_security_policy": "script-src 'self' https://apis.google.com/; object-src 'self'",

 

    "browser_action": {

     "default_icon": "icon.png",

     "default_popup": "popup.html"

    },

    "permissions": [

     "activeTab"

     ]

}

 

 

+ Instagram

 

https://github.com/ping/instagram_private_api_extensions

+ Twitter

- ``python import pandas as pd import tweepy import json

Authenticate with Twitter API

auth = tweepy.OAuthHandler("your_consumer_key", "your_consumer_secret") auth.set_access_token("your_access_token", "your_access_token_secret") api = tweepy.API(auth)  

 

+ Google chrome

 

'https://apis.google.com/js/platform.js' k.

 

Jason

{

    "manifest_version": 5.1,

 

    "name": "DVB2Calender",

    "description": "This extension will export the current viewed schedule to your Google Calender.",

    "version": "1.0",

 

    "content_security_policy": "script-src 'self' https://apis.google.com/; object-src 'self'",

 

    "browser_action": {

     "default_icon": "icon.png",

     "default_popup": "popup.html"

    },

    "permissions": [

     "activeTab"

     ]

}

 

 

+ Instagram

 

https://github.com/ping/instagram_private_api_extensions

+ Twitter

- ``python import pandas as pd import tweepy import json

Authenticate with Twitter API

auth = tweepy.OAuthHandler("your_consumer_key", "your_consumer_secret") auth.set_access_token("your_access_token", "your_access_token_secret") api = tweepy.API(auth)  

 

+ Google chrome

 

'https://apis.google.com/js/platform.js' k.

 

Jason

{

    "manifest_version": 5.1,

 

    "name": "DVB2Calender",

    "description": "This extension will export the current viewed schedule to your Google Calender.",

    "version": "1.0",

 

    "content_security_policy": "script-src 'self' https://apis.google.com/; object-src 'self'",

 

    "browser_action": {

     "default_icon": "icon.png",

     "default_popup": "popup.html"

    },

    "permissions": [

     "activeTab"

     ]

}

 

 

+ Instagram

 

https://github.com/ping/instagram_private_api_extensions

GENERAL INFORMATION

GENERAL INFORMATION

+ Tokenomics

+ Tokenomics


+ RoadMap

 

Phase 1: Pre-Launch and Initial Marketing

· Pre-sale Launch: Initiate token sale to raise funds for development and marketing.

· Targeted Marketing: Engage key opinion leaders (KOLs) and crypto news agencies to generate awareness and build a community.

· CoinMarketCap (CMC) and CoinGecko Listings: Apply for listings on these popular cryptocurrency tracking platforms.

Phase 2: Public Launch and Expansion

· DEX and CEX Listings: Open the token sale to public and secure listings on centralised exchanges.

· Wider Media Presence: Expand marketing efforts to reach a broader audience through traditional media outlets like ESPN, BBC, and CNN.

· dApp Launch Version 1: Introduce the initial version of the dApp, focusing on core functionalities and user experience.

· Community Engagement and AI Enhancement: Foster community involvement through active engagement and utilise machine learning to continuously improve the AI engine.

Phase 3: Monetisation and Growth

· Future Monetisation Plan: Explore white-label solutions to offer Xior AI's technology to various industries, generating revenue streams.

· Organic Growth and Incentives: Encourage organic community growth through loyalty programs, rewards for long-term token holders, and incentives for active participation (feedback, bug reporting).

Phase 4: Real-World Asset Integration

· World First RWA: Pioneer the integration of real-world assets (RWA) into the blockchain ecosystem, focusing on agricultural and renewable energy initiatives.


+ RoadMap

 

Phase 1: Pre-Launch and Initial Marketing

· Pre-sale Launch: Initiate token sale to raise funds for development and marketing.

· Targeted Marketing: Engage key opinion leaders (KOLs) and crypto news agencies to generate awareness and build a community.

· CoinMarketCap (CMC) and CoinGecko Listings: Apply for listings on these popular cryptocurrency tracking platforms.

Phase 2: Public Launch and Expansion

· DEX and CEX Listings: Open the token sale to public and secure listings on centralised exchanges.

· Wider Media Presence: Expand marketing efforts to reach a broader audience through traditional media outlets like ESPN, BBC, and CNN.

· dApp Launch Version 1: Introduce the initial version of the dApp, focusing on core functionalities and user experience.

· Community Engagement and AI Enhancement: Foster community involvement through active engagement and utilise machine learning to continuously improve the AI engine.

Phase 3: Monetisation and Growth

· Future Monetisation Plan: Explore white-label solutions to offer Xior AI's technology to various industries, generating revenue streams.

· Organic Growth and Incentives: Encourage organic community growth through loyalty programs, rewards for long-term token holders, and incentives for active participation (feedback, bug reporting).

Phase 4: Real-World Asset Integration

· World First RWA: Pioneer the integration of real-world assets (RWA) into the blockchain ecosystem, focusing on agricultural and renewable energy initiatives.


+ RoadMap

 

Phase 1: Pre-Launch and Initial Marketing

· Pre-sale Launch: Initiate token sale to raise funds for development and marketing.

· Targeted Marketing: Engage key opinion leaders (KOLs) and crypto news agencies to generate awareness and build a community.

· CoinMarketCap (CMC) and CoinGecko Listings: Apply for listings on these popular cryptocurrency tracking platforms.

Phase 2: Public Launch and Expansion

· DEX and CEX Listings: Open the token sale to public and secure listings on centralised exchanges.

· Wider Media Presence: Expand marketing efforts to reach a broader audience through traditional media outlets like ESPN, BBC, and CNN.

· dApp Launch Version 1: Introduce the initial version of the dApp, focusing on core functionalities and user experience.

· Community Engagement and AI Enhancement: Foster community involvement through active engagement and utilise machine learning to continuously improve the AI engine.

Phase 3: Monetisation and Growth

· Future Monetisation Plan: Explore white-label solutions to offer Xior AI's technology to various industries, generating revenue streams.

· Organic Growth and Incentives: Encourage organic community growth through loyalty programs, rewards for long-term token holders, and incentives for active participation (feedback, bug reporting).

Phase 4: Real-World Asset Integration

· World First RWA: Pioneer the integration of real-world assets (RWA) into the blockchain ecosystem, focusing on agricultural and renewable energy initiatives.

+ TEAM


+ TEAM


Michael is a visionary entrepreneur and early adopter of emerging technologies, focusing on blockchain and digital finance. His journey began in the early days of Bitcoin, where they demonstrated a keen eye for identifying promising projects and innovations. This foresight led them to become a significant contributor to the development of several ground-breaking initiatives.

Such contributions include early-stage contributions and support to Telegram and Signal, two popular messaging apps that have played a crucial role in shaping the landscape of secure communication.

Michael supported Wise (formerly TransferWise) early on, recognising the potential of seamless cross-border fiat payment solutions. His involvement in this innovative remittance service helped revolutionise how people send money across borders.

Beyond their entrepreneurial endeavours, Michael is also a dedicated economic researcher. With a deep understanding of market dynamics and organisational behaviours, they have worked on developing actionable strategies to help businesses scale and achieve unicorn status. Their research has focused on identifying key factors contributing to organisational growth, innovation, and long-term sustainability.

Leslie is a seasoned data analyst and researcher with deep expertise in understanding and predicting financial market dynamics. His meticulous approach to data analysis has led him to develop innovative systems that are widely used across major financial markets.

Leslie's expertise lies in harnessing the power of data to uncover hidden patterns and trends within complex financial datasets. Through rigorous research and analysis, he has created cutting-edge tools enabling some major financial institutes to make more informed decisions and anticipate market movements. His systems have proven invaluable in helping professionals navigate finance's often volatile and unpredictable world.

Beyond his work in finance, Leslie also has a keen interest in applying archaeological data to contemporary renewable energy applications. He believes that by studying the past, we can gain valuable insights into sustainable practices and develop innovative solutions for the future. Leslie's interdisciplinary approach to research demonstrates his commitment to finding practical applications for knowledge from various fields.

Shawnn is a seasoned crypto investor and consultant with a proven track record of success in the decentralised finance (DeFi) space. With a keen eye for identifying promising projects, Shawnn has guided countless DeFi teams through the development, marketing, and market adoption phases.

Known for his exceptional ability to spot potential in early-stage DeFi projects, Shawnn has consistently delivered remarkable results. His strategic guidance and expertise have helped numerous projects achieve significant market capitalisation, often exceeding half a billion dollars. This consistent success has solidified Shawn's reputation as a highly respected and sought-after figure in the DeFi community.

Shawnn's deep understanding of the DeFi ecosystem and his strong network of industry contacts have enabled him to provide invaluable advice and support to project teams. His ability to navigate the complexities of the DeFi landscape and identify emerging trends has been instrumental in helping projects thrive.

As a trusted advisor and consultant, Shawnn is widely respected for his integrity, professionalism, and commitment to the growth of the DeFi space. His contributions to developing innovative DeFi projects have significantly impacted the indus.

Michael is a visionary entrepreneur and early adopter of emerging technologies, focusing on blockchain and digital finance. His journey began in the early days of Bitcoin, where they demonstrated a keen eye for identifying promising projects and innovations. This foresight led them to become a significant contributor to the development of several ground-breaking initiatives.

Such contributions include early-stage contributions and support to Telegram and Signal, two popular messaging apps that have played a crucial role in shaping the landscape of secure communication.

Michael supported Wise (formerly TransferWise) early on, recognizing the potential of seamless cross-border fiat payment solutions. His involvement in this innovative remittance service helped revolutionize how people send money across borders.

Beyond their entrepreneurial endeavors, Michael is also a dedicated economic researcher. With a deep understanding of market dynamics and organizational behaviours, they have worked on developing actionable strategies to help businesses scale and achieve unicorn status. Their research has focused on identifying key factors contributing to organizational growth, innovation, and long-term sustainability.

Leslie is a seasoned data analyst and researcher with deep expertise in understanding and predicting financial market dynamics. His meticulous approach to data analysis has led him to develop innovative systems that are widely used across major financial markets.

Leslie's expertise lies in harnessing the power of data to uncover hidden patterns and trends within complex financial datasets. Through rigorous research and analysis, he has created cutting-edge tools enabling some major financial institutes to make more informed decisions and anticipate market movements. His systems have proven invaluable in helping professionals navigate finance's often volatile and unpredictable world.

Beyond his work in finance, Leslie also has a keen interest in applying archaeological data to contemporary renewable energy applications. He believes that by studying the past, we can gain valuable insights into sustainable practices and develop innovative solutions for the future. Leslie's interdisciplinary approach to research demonstrates his commitment to finding practical applications for knowledge from various fields.

Shawnn is a seasoned crypto investor and consultant with a proven track record of success in the decentralized finance (DeFi) space. With a keen eye for identifying promising projects, Shawnn has guided countless DeFi teams through the development, marketing, and market adoption phases.

Known for his exceptional ability to spot potential in early-stage DeFi projects, Shawnn has consistently delivered remarkable results. His strategic guidance and expertise have helped numerous projects achieve significant market capitalization, often exceeding half a billion dollars. This consistent success has solidified Shawn's reputation as a highly respected and sought-after figure in the DeFi community.

Shawnn's deep understanding of the DeFi ecosystem and his strong network of industry contacts have enabled him to provide invaluable advice and support to project teams. His ability to navigate the complexities of the DeFi landscape and identify emerging trends has been instrumental in helping projects thrive.

As a trusted advisor and consultant, Shawnn is widely respected for his integrity, professionalism, and commitment to the growth of the DeFi space. His contributions to developing innovative DeFi projects have significantly impacted the indus.

Michael is a visionary entrepreneur and early adopter of emerging technologies, focusing on blockchain and digital finance. His journey began in the early days of Bitcoin, where they demonstrated a keen eye for identifying promising projects and innovations. This foresight led them to become a significant contributor to the development of several ground-breaking initiatives.

Such contributions include early-stage contributions and support to Telegram and Signal, two popular messaging apps that have played a crucial role in shaping the landscape of secure communication.

Michael supported Wise (formerly TransferWise) early on, recognising the potential of seamless cross-border fiat payment solutions. His involvement in this innovative remittance service helped revolutionise how people send money across borders.

Beyond their entrepreneurial endeavours, Michael is also a dedicated economic researcher. With a deep understanding of market dynamics and organisational behaviours, they have worked on developing actionable strategies to help businesses scale and achieve unicorn status. Their research has focused on identifying key factors contributing to organisational growth, innovation, and long-term sustainability.

Leslie is a seasoned data analyst and researcher with deep expertise in understanding and predicting financial market dynamics. His meticulous approach to data analysis has led him to develop innovative systems that are widely used across major financial markets.

Leslie's expertise lies in harnessing the power of data to uncover hidden patterns and trends within complex financial datasets. Through rigorous research and analysis, he has created cutting-edge tools enabling some major financial institutes to make more informed decisions and anticipate market movements. His systems have proven invaluable in helping professionals navigate finance's often volatile and unpredictable world.

Beyond his work in finance, Leslie also has a keen interest in applying archaeological data to contemporary renewable energy applications. He believes that by studying the past, we can gain valuable insights into sustainable practices and develop innovative solutions for the future. Leslie's interdisciplinary approach to research demonstrates his commitment to finding practical applications for knowledge from various fields.

Shawnn is a seasoned crypto investor and consultant with a proven track record of success in the decentralised finance (DeFi) space. With a keen eye for identifying promising projects, Shawnn has guided countless DeFi teams through the development, marketing, and market adoption phases.

Known for his exceptional ability to spot potential in early-stage DeFi projects, Shawnn has consistently delivered remarkable results. His strategic guidance and expertise have helped numerous projects achieve significant market capitalisation, often exceeding half a billion dollars. This consistent success has solidified Shawn's reputation as a highly respected and sought-after figure in the DeFi community.

Shawnn's deep understanding of the DeFi ecosystem and his strong network of industry contacts have enabled him to provide invaluable advice and support to project teams. His ability to navigate the complexities of the DeFi landscape and identify emerging trends has been instrumental in helping projects thrive.

As a trusted advisor and consultant, Shawnn is widely respected for his integrity, professionalism, and commitment to the growth of the DeFi space. His contributions to developing innovative DeFi projects have significantly impacted the indus.

© 2024 XIOR AI. ALL RIGHTS RESERVED!

© 2024 XIOR AI. ALL RIGHTS RESERVED!