Press Release
WarRin Protocol: A point-to-point anonymous privacy communication system
Dr.WarRin
Summary
This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives. This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases.
1. Introduction
Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph and Curve25519,AES-256, and HMAC-SHA256 as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness.
2. WarRin Protocol communication system
2.1 Two types of communication
The Waring Protocol communication system divides chat channels into two types.
Two modes of communication
- General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices.
- Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices.
The design combines some of the advantages of raiBlocks multi-chain construction with IOTA/Byteball DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger. When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device.
2.2 How chat history is encrypted
2.2.1 MTProto Transport Protocol
MTProto transport protocol
The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1, there are 7 accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account.
Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account. In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously.
In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.
Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account; They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge.
We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.
The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last 4/1 unit in Figure 2 is the last communication corresponding to Figure 1 – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest block on account 4 was the receiving block for 2/4 trades and the newest block on account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell.
The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination while maintaining high throughput and security:
- Complete shraping of blockchain status;
- Secure and low-cost cross-synth trading;
- Completely random witness selection;
- Flexible and efficient configuration
Complete decentralization ensures absolute security and scalability of the standard chain.
(Figures above show seven Ling-shaped objects:2/1 one;3/2 one… )
2.2.2 Curve25519 Elliptic Curve Encryption Algorithm
Curve25519, proposed by Daniel Bernstein, is anelliptic curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys.
Montgomery Curve Curve Mathematical Expression:
Curve25519 Curve Mathematical Expression:
Curve25519 encryption algorithms are used for standard private and public keys, and the private keys used for Curve25519
encryption algorithms are typically defined as secret
indices, corresponding to
public keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the
public
and private keys, perform the following
calculation:
Generate a one-time random secret
index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit sharing, such as AES using a 256-bit integer
one-time public key, as akey, and 256-bit integer is a
prefix to encrypted information. Once a party to
the public
key receives this message, it can start by calculating , that is ,
the receiver recovers the shared secret and
is able to decrypt the rest of the information.
3. Incentives
On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location.
3.1 WRC Certificate
WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function.
3.1.1 WoRin Gain Function
3.1.2 WoRin gain function control table
| The WoRin gain function is compared to the table | ||
| Number of layers /F | Growth factor /I | WRC circulation |
| [1,50] | 0.002 | 334918.8057 |
| [51,100] | 0.002 | 780024.2108 |
| [101,150] | 0.004 | 1177129.617 |
| [151,200] | 0.006 | 1487860.923 |
| [201,250] | 0.01 | 1722637 |
| [251,300] | 0.016 | 1894309.216 |
| [301,400] | 0.03 | 2101623.789 |
| [401,500] | 0.06 | 2217555.464 |
| [501,1000] | 0.1 | 2450712.257 |
| [1001,2000] | 0.12 | 2557457.3 |
According to the Gain function, the
larger the number of layers,
the greater the growth rate, the faster each layer is filled, and the
greater the circulation.
3.2 Allocation
WarRin protocol node distribution
3.2.1 Node allocation
Set the initial price
to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the
node token is assigned to the piece, for the price of
the layer where the node
is located, there is a
set.
For example, the number of tiers in which the 98th node is located is Tier 13, and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are
3.2.2 Total number of address assignments
Each node occupies one address, and the total number of addresses is
4. The use
WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:
Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;
System Staking tokens, used for node elections and token issues;
The capital is lent to the validator in exchange for the amount of the reward;
Voting rights for system proposals;
The means of payment for apps developed on WoRin Services;
WoRin Storage is a means of payment on the decentralization storage;
WoRin DNS domain name and WoRin WWW website means of payment;
WoRin Proxy agents hide the means of payment for body and IP addresses;
WoRin Proxy penetrates payment methods reviewed by local ISPs
……
5. Conclusions
Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is ( the
value factor, the number of
users.) That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust.
References
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[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized
application platform, https://github.com/ethereum/wiki/wiki/White-Paper, 2013.
[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure computa- tions with
optimal resilience, in Proceedings of the thirteenth annual ACM symposium on
Principles of distributed computing, p. 183–192. ACM, 1994.
[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the
Third Symposium on Operating Systems Design and Implementation (1999), p. 173–
186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.
[5] EOS. IO, EOS. IO technical white paper,
https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,
2017.
[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for Anony- mous and
Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),
http://www.onion-router.net/Publications/CACM-1999.pdf.
[7] L. Lamport, R. Shostak, M. Pease, The byzantine generals problem, ACM
Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.
[8] S. Larimer, The history of BitShares,
https://docs.bitshares.org/bitshares/history.html, 2013.
[9] M. Luby, A. Shokrollahi, et al., RaptorQ forward error correction scheme for
object delivery, IETF RFC 6330, https://tools.ietf.org/html/rfc6330, 2011.
[10] P. Maymounkov, D. Mazières, Kademlia: A peer-to-peer infor- mation system
based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International
Workshop on Peer-to-Peer Systems, p. 53–65, available at
http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
CLOOMS Unveils TameDex, a Palworld Breeding Calculator and Companion Tool for Creature-Taming Games
Boulder, CO 80302, United States, 24th Sep 2026 – TameDex, a companion tool for creature-taming and monster-collecting games, has been unveiled by its maker, CLOOMS. The tool is designed to give players a fast, clean reference for the games they play, starting with creature databases, breeding and capture calculators, tier lists, and guides for Palworld.

TameDex is available at tamedex.com. The tool centres on a Palworld breeding calculator, letting players work out breeding combinations and outcomes without cross-referencing multiple spreadsheets or community wikis. Alongside the breeding calculator, TameDex includes a creature database, capture calculators, tier lists, and guides covering different aspects of the game.
The tool addresses a common problem for players of creature-taming and monster-collecting games: working out breeding, capture, and stat information that is otherwise spread across wikis, spreadsheets, and community forums. TameDex is intended to bring this information into one place, starting with Palworld, with additional games planned for future coverage. The company said the tool is built to load quickly and present information clearly, rather than replicate the format of a general wiki.
Palworld’s breeding system involves combining creatures to produce offspring with particular traits, a process that can otherwise require cross-referencing multiple community-maintained charts to work out. TameDex’s breeding calculator is built specifically around this system, allowing a player to check likely outcomes for a given combination directly within the tool rather than piecing the information together from separate sources.

TameDex does not require an account or a download to use. A player can open the site directly in a browser, look up the creatures or breeding combinations they need, and move on, rather than navigating a large general-purpose wiki built for many different games at once. The company said this focused approach is central to how the tool is meant to be used during active play, particularly when a quick answer is needed mid-session rather than after searching through a longer article.
“Breeding calculators for games like Palworld usually live in scattered spreadsheets or forum posts, and TameDex is built to bring that information into one fast, clean tool,” said Jack Shi, Founder and CEO of CLOOMS. “The goal is to give players something they can check quickly while they are actually playing, rather than digging through several different sites.”
TameDex’s Palworld coverage includes a creature database, breeding and capture calculators, and tier lists intended to help players plan their approach to the game. The company said additional creature-taming and monster-collecting games are planned for future coverage, following the same format established for Palworld. TameDex is a product of CLOOMS, an independent digital-product company that builds practical web tools, joining a portfolio of tools the company has built around solving one specific task well rather than functioning as a broader platform.

“Looking ahead, the plan for TameDex is to add coverage for additional creature-taming games while keeping the tool fast and simple to use,” Shi said. “CLOOMS expects TameDex to grow alongside the games it covers, rather than staying limited to a single title.”
TameDex is a companion tool for creature-taming and monster-collecting games available at tamedex.com, built by CLOOMS, an independent digital-product company based in Boulder, Colorado. The tool currently covers Palworld with creature databases, breeding and capture calculators, tier lists, and guides, with additional games planned. The launch reflects the company’s continued work building practical, single-purpose tools for specific communities and use cases.
For additional information about palworld breeding calculator options and related industry developments, contact TameDex at 1942 Broadway St., STE 314C, Boulder, CO 80302, United States. Inquiries regarding the company’s products and services can be directed by email at support@tamedex.com.
Media Contact
Organization: TameDex
Contact Person: Jack Shi
Website: https://tamedex.com/
Email: Send Email
Address: 1942 Broadway St.
Address 2: STE 314C
City: Boulder
State: CO 80302
Country: United States
Release id: 49442
The post CLOOMS Unveils TameDex, a Palworld Breeding Calculator and Companion Tool for Creature-Taming Games appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Thomas Berkley of Nexus Acquisition AI Introduces Smarter Client Acquisition Strategies for Service Businesses
United States, 24th Sep 2026 – Thomas Berkley, founder of Nexus Acquisition AI, is expanding the company’s focus on AI-powered client acquisition systems designed to help service businesses modernize their marketing, lead generation, and customer acquisition processes. The U.S.-focused company combines artificial intelligence with structured marketing systems to help service businesses develop more organized approaches to attracting and engaging prospective customers.
As artificial intelligence continues to become a larger part of business operations, service companies are exploring ways to incorporate AI into marketing and customer acquisition. Nexus Acquisition AI is addressing this shift by developing systems that connect AI technology with practical acquisition processes, giving service businesses a framework for managing activities associated with finding and engaging potential clients.
Thomas Berkley founded Nexus Acquisition AI around the concept of using technology to create more structured client acquisition processes. Rather than treating artificial intelligence as a standalone solution, the company focuses on integrating AI into marketing and lead generation workflows that can support the broader customer acquisition journey.
“Nexus Acquisition AI is focused on helping service businesses understand where artificial intelligence can fit into their acquisition processes,” said Thomas Berkley. “By bringing AI together with marketing and lead generation systems, businesses can create more structured processes for managing opportunities and connecting with prospective customers.”
Building More Structured Marketing Processes
For many service businesses, marketing involves multiple activities, including reaching prospective customers, communicating value, managing inquiries, and following up with leads. Nexus Acquisition AI focuses on connecting these activities through technology-supported systems.
The company’s Nexus Acquisition marketing approach centers on using AI and modern marketing processes to support customer acquisition. Instead of relying on disconnected activities, the company develops systems intended to bring different parts of the acquisition process together.
This approach can help service businesses establish clearer workflows around their marketing activities. AI can be incorporated into appropriate areas of those workflows to support repetitive processes and help businesses manage information and interactions more efficiently.
Nexus Acquisition AI’s focus is particularly relevant to service businesses that depend on a consistent flow of prospective customers. By developing structured acquisition systems, the company aims to provide businesses with a framework that can be adapted to their specific services, audiences, and growth objectives.
Strengthening Lead Generation Through AI
Lead generation is another central component of Nexus Acquisition AI’s approach. Service businesses need effective ways to identify and engage potential customers, and AI technology is creating new opportunities for businesses to organize these activities.
Through its Nexus Acquisition lead generation systems, the company focuses on creating processes that can support the identification, engagement, and management of potential leads. AI and automation can be incorporated into selected stages of these processes, helping businesses build more consistent workflows around prospect acquisition.
The objective is not simply to introduce another technology into a company’s operations. Nexus Acquisition AI instead focuses on connecting technology with established business goals so that AI supports the overall acquisition process.
For service businesses, this can mean creating systems that bring marketing activity and lead management into a more coordinated workflow. Nexus Acquisition AI works around the principle that acquisition systems should reflect the individual needs and operating models of the businesses using them.
Developing AI Growth Systems for Service Businesses
The company is also developing Nexus Acquisition AI growth systems that combine artificial intelligence, marketing, and lead generation into broader client acquisition frameworks.
AI-powered systems can provide businesses with new ways to approach repetitive marketing tasks, customer communication, and lead management. Nexus Acquisition AI focuses on applying these capabilities to practical acquisition challenges faced by service businesses in the U.S.
Under Thomas Berkley’s leadership, Nexus Acquisition AI continues to build its services around the intersection of artificial intelligence and customer acquisition. The company’s work reflects the increasing use of AI as a business tool while maintaining a focus on marketing processes and customer relationships.
The company’s approach is designed for service businesses seeking to modernize their acquisition infrastructure and establish systems that can support ongoing marketing and lead generation activities. By combining technology with structured processes, Nexus Acquisition AI aims to help businesses create a more organized foundation for their customer acquisition efforts.
As AI technology continues to evolve, Nexus Acquisition AI plans to remain focused on practical applications that can support service businesses. Through its AI-powered acquisition systems, the company is building its offering around marketing, lead generation, and technology-driven growth processes.
For more information visit https://nexusacquisitionai.com/ .
About Nexus Acquisition AI
Nexus Acquisition AI is a U.S.-focused company founded by Thomas Berkley that develops AI-powered marketing, lead generation, and client acquisition systems for service businesses. The company combines artificial intelligence with structured acquisition processes to help businesses modernize their approach to attracting and engaging prospective customers.
Media Contact
Organization: Nexus Acquisition AI
Contact Person: Thomas Berkley
Website: https://nexusacquisitionai.com/
Email: Send Email
Country: United States
Release id: 49425
The post Thomas Berkley of Nexus Acquisition AI Introduces Smarter Client Acquisition Strategies for Service Businesses appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
CLOOMS Unveils Short Haircuts AI for Virtual Hairstyle Previews
Boulder, CO 80302, United States, 24th Sep 2026 – Short Haircuts AI, an AI-powered tool that lets users preview different short haircuts on their own photo, has been unveiled by its maker, CLOOMS. The tool is designed to let a user see how a given short haircut would look on them before committing to the change at a salon.

Short Haircuts AI is available at shorthaircuts.net. A user uploads a selfie, and the tool generates previews showing that photo with a range of short haircut styles applied. The intended purpose is to let someone compare several styles before a haircut is actually done, rather than relying on a photo reference or a stylist’s description alone.
The tool addresses a common decision point for people considering a shorter haircut: whether a particular style will suit their face shape and features, a question that is otherwise difficult to answer without committing to the cut first. By generating a preview directly from a selfie, Short Haircuts AI is intended to let users evaluate multiple short haircut styles before an appointment, rather than deciding in the chair. The tool is aimed at a broad range of users rather than stylists or professionals working with dedicated editing software, and is built as a simple, low-friction web experience that does not require an account or a consultation to try.
Short Haircuts AI does not require photo-editing software or an in-person consultation to use. A user can access the tool directly through a web browser, upload a selfie, and view the resulting style previews without additional setup. The company said this straightforward workflow reflects its broader approach to building single-purpose tools that are simple to use and focused on solving one specific task. A range of short haircut styles is made available for preview, allowing a user to move between options and compare how each one appears on their own face before booking an appointment.

“A lot of people hesitate before getting a short haircut because they are not sure how it will look on them, and a cut is not something that can be undone right away,” said Jack Shi, Founder and CEO of CLOOMS. “Short Haircuts AI removes some of that uncertainty by showing someone what a style actually looks like on their own photo before they decide anything.”
Short Haircuts AI is a product of CLOOMS, an independent digital-product company that builds practical AI tools and web utilities. It joins a portfolio of tools the company has built around the same principle, each addressing a specific, everyday task rather than functioning as part of a broader platform. The launch of Short Haircuts AI extends that approach to another visual, appearance-based decision, following a similar tool the company built for previewing beard and goatee styles.
“Looking ahead, the plan for Short Haircuts AI is to keep expanding the range of styles available for preview and to keep the tool simple to use as more people discover it,” Shi said. “CLOOMS expects Short Haircuts AI to remain a steady part of the company’s product lineup rather than a one-time release.”

Short Haircuts AI is an AI-powered short haircut preview tool available at shorthaircuts.net, built by CLOOMS, an independent digital-product company based in Boulder, Colorado. The launch reflects the company’s continued work developing single-purpose tools intended to help people make everyday decisions with more confidence.
For additional information about short haircut simulator options and related industry developments, contact Short Haircuts AI at 1942 Broadway St., STE 314C, Boulder, CO 80302, United States. Inquiries regarding the company’s products and services can be directed by email at support@shorthaircuts.net.
Media Contact
Organization: Short Haircuts AI
Contact Person: Jack Shi
Website: https://shorthaircuts.net/
Email: Send Email
Address: 1942 Broadway St.
Address 2: STE 314C
City: Boulder
State: CO 80302
Country: United States
Release id: 49441
The post CLOOMS Unveils Short Haircuts AI for Virtual Hairstyle Previews appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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