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WarRin Protocol: A point-to-point anonymous privacy communication system

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Dr.WarRin

www.bitcointalk.org

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.

Image

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

Image

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.  

Image

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.  

Image

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: 图片图片

Curve25519 Curve Mathematical Expression:图片

Curve25519  encryption     algorithms are    图片 used for standard private and public keys, and the private keys used for Curve25519  图片 encryption algorithms are typically defined as secret 图片 indices, corresponding to 图片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 图片 public 图片and private keys, perform the following 图片calculation:

Generate a one-time random secret 图片图片   图片 index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit  sharing, such as AES  using a 256-bit integer 图片 one-time public key,  as akey, and 256-bit integer is a 图片prefix to encrypted information. Once a party to   图片图片图片the public 图片key receives this message, it can start by calculating , that is ,图片the receiver recovers the shared secret and 图片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

Image
Image

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 图片to the Gain function, the 图片larger the number of layers, 图片the greater the growth rate, the faster each layer is filled, and the 图片greater the circulation. 

3.2 Allocation

Image

WarRin protocol node distribution

3.2.1 Node allocation

Set the initial price  图片  图片图片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 图片node token is assigned to the piece, for the price of 图片 the layer where the node 图片is located, there is a 图片图片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 图片

3.2.2 Total number of address assignments

Each node occupies one address, and the total number of 图片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 图片( the 图片value factor, the number of 图片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

[1] K. Birman, Reliable Distributed Systems: Technologies, Web Services and

Applications, Springer, 2005.

[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.

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Inside NEXTMonitor: How NEXTRouter Turns Sensing into Action

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Shortly after NEXTBank launched NEXTMonitor, its global situational awareness system, we sat down with the product team to better understand what makes the system tick. This is a curated summary of that conversation – focusing on three core themes: why NEXTMonitor is more than an aggregator, how NEXTRouter powers its intelligence, and what the combined system means for enterprise users.

“Aggregation is table stakes. Correlation is the real value.”

The team started with a blunt observation. There is no shortage of news dashboards and financial screens. A treasury manager can already see headlines, prices, and charts. But seeing is not understanding. The missing piece is the connection between events.

“A port strike is not just a news item,” one product lead explained. “It affects shipping routes, commodity prices, and local currency stability. A human would need to open six different tabs and spend twenty minutes connecting the dots. NEXTMonitor does it in under a second.”

That ability – cross‑dimensional event correlation – relies on NEXTRouter’s graph neural network models. When a user looks at a breaking alert, the system automatically pulls in live camera feeds from the relevant location, real‑time exchange rate data, and historical risk patterns. It then visualises everything on a single map. The user does not search; the system presents.

The “Model Router” That Never Sleeps

The team repeatedly emphasised one point: NEXTMonitor itself is not an AI model. It is an application that calls models – and the calling is handled entirely by NEXTRouter.

NEXTRouter aggregates over 300 models, from general‑purpose large language models to specialised tools for time‑series forecasting, image recognition, and graph analysis. When NEXTMonitor needs to assess port congestion from a live camera, NEXTRouter picks the best image model for that task. When it needs to project 48‑hour exchange rate volatility, it picks a forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a follow‑up question, NEXTRouter selects the most suitable dialogue model on the fly.

This architecture gives NEXTMonitor a powerful feature: automatic upgrades. As new, better models are released, NEXTRouter can swap them in seamlessly. The user sees no change except that the system becomes smarter. “We don’t tell our customers to update their software,” the team noted. “We just make NEXTMonitor better overnight.”

From Sensing to Action in Seconds

The most compelling part of the briefing was the walkthrough of a real‑world scenario. Imagine you are a logistics manager monitoring Southeast Asia. NEXTMonitor detects a sudden labour action at a major port. Instantly, the system shows the live camera feed (congestion visible), the local currency’s real‑time decline, and a risk projection: 72% chance of further disruption in the next 24 hours.

You then ask BonBon: “Should I reroute my shipments?” BonBon, powered by NEXTRouter, analyses your current shipping routes and suggests specific alternatives. If you agree, you can execute the change – and the related cross‑border payments – directly on NEXTBank’s payment network. The entire loop, from sensing to advice to action, takes seconds, not hours.

That seamless integration is not accidental. NEXTMonitor, BonBon, and NEXTBank’s payment rails are built on the same NEXTRouter backbone. The system also connects to NEXTShot, an AIGC platform that can automatically generate a briefing video or a one‑page report for your team. Whether you need to act, consult, or communicate, the tools are already there.

What Enterprises Should Know

The team highlighted three practical takeaways for potential enterprise users. First, NEXTMonitor is not a replacement for Bloomberg or Reuters – it is a layer above them, adding correlation and prediction. Second, the system is designed for non‑technical users. Natural language queries to BonBon mean you do not need to learn a new query language. Third, because NEXTRouter handles model selection, you never have to worry about which AI model is “best” for a given task – the system decides in real time.

Pricing and availability: NEXTMonitor is now available to NEXTBank enterprise and premium users. Additional features, including deeper predictive analytics and more camera integrations, are scheduled for the coming months.

The Bigger Picture

According to the team, NEXTMonitor and NEXTRouter are not standalone products – they are the first visible expressions of a much larger strategy. NEXTBank has publicly outlined three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter serves as the computing gateway for all three. NEXTMonitor provides the real‑world sensing layer.

“In five years, we don’t want to be known as a payment company,” the team concluded. “We want to be known as the operating system for intelligent finance. NEXTMonitor is the screen you look at. NEXTRouter is the engine you never see. Together, they make money smart.”

For now, that vision is taking shape – one correlated event, one predicted risk, and one intelligent payment at a time.

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Beyond Payments: How NEXTBank’s Dual‑Core “Sensing + Computing” Strategy Is Redefining Global Finance

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For years, the crypto payment industry has competed on speed and cost. NEXTBank delivered on those fronts. But with the launch of NEXTMonitor, a real‑time global situational awareness system, the company is making a bolder statement: the future of finance is not just moving money, but moving money with intelligence.

At the heart of this shift are two symbiotic products: NEXTMonitor, the “sensory organ” that captures global events, and NEXTRouter, the “computing brain” that makes sense of them. Together, they form a dual‑core engine of sensing and computing – an architecture that could transform a payment network into a full‑stack financial operating system.

From Information Overload to Actionable Insight

The problem NEXTMonitor solves is simple. Decision‑makers have access to more information than ever, yet critical signals are buried under noise. A port strike in Asia, a currency swing in Latin America, a regulatory leak in Europe – by the time a manager connects the dots, the opportunity or loss has already passed.

NEXTMonitor tackles this by integrating 93 news sources, live market data, and 27 real‑world camera feeds onto a single dynamic map. But the real differentiator is not aggregation – it is correlation. Powered by NEXTRouter’s ability to call over 300 AI models (from OpenAI, Google, Anthropic, and others), NEXTMonitor automatically links a news event with a live camera view of a congested port, a real‑time exchange rate chart, and historical risk patterns. A user no longer has to ask “what does this mean?” – the system shows them.

The Unseen Engine: NEXTRouter as a Computing Hub

If NEXTMonitor is the face of NEXTBank’s new direction, NEXTRouter is its invisible foundation. NEXTRouter is an AI model gateway and orchestration layer that aggregates hundreds of large and specialised models. When NEXTMonitor needs to extract event locations, the router calls a natural‑language model. When it needs to predict 48‑hour exchange rate volatility, it calls a time‑series forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a natural language question, NEXTRouter selects the best dialogue model on the fly.

This architecture gives NEXTBank a critical advantage: continuous evolution. As better models emerge, NEXTRouter can swap them in seamlessly. NEXTMonitor becomes smarter without a single line of code change. In an industry where AI capabilities double every few months, that is a strategic moat.

Completing the Loop: Sensing, Agent, and Action

What truly elevates the system is integration with NEXTBank’s broader ecosystem. A risk alert generated by NEXTMonitor can be sent instantly to BonBon, which provides mitigation advice – for example, “suggest delaying shipments to this port” or “consider locking in exchange rates.” If the user needs to share that analysis with a team or client, NEXTShot (NEXTBank’s AIGC platform) can automatically produce a briefing video or a one‑page report. The entire journey – from sensing to advice to output – runs on the same NEXTRouter backbone.

This closes a loop that traditional payment networks have never attempted. Users no longer toggle between Bloomberg, a risk dashboard, a chat tool, and a payment interface. They perceive, decide, and act on one platform. And when they act – for instance, making a cross‑border payment to avoid looming capital controls – that transaction rides on NEXTBank’s original payment rail. Sensing and payment, finally unified.

Why It Matters

For the crypto industry, NEXTBank’s move signals a maturation. The first wave of blockchain payments solved trust and settlement speed. The second wave is adding context – the ability to understand why a payment should be made, when, and in what currency. NEXTBank is building an “intent‑based” financial layer: the user expresses an intent (“I want to move funds safely given current risks”), and the system figures out the optimal execution path.

For enterprise treasuries and logistics firms, the value is clear. In a world of fragmented supply chains and volatile currencies, a real‑time intelligence layer directly connected to execution is not a luxury – it is a necessity. NEXTMonitor and NEXTRouter offer exactly that.

Looking Forward

NEXTBank has stated three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter will serve as the computing gateway for billions of autonomous agents. It will also underpin the tokenisation and trading of computing power – a novel asset class. And with NEXTMonitor providing situational awareness, the vision of “intent‑as‑payment” comes closer to reality.

NEXTBank is no longer just a payment network. It is becoming the operating system for intelligent finance – where every dollar moved knows where it is going, why, and how to get there safely. That is a story worth watching.

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SoftestLayer Announces Comfort-Focused Bra Collection Designed for Wireless Support and Everyday Wear

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The women’s bra brand highlights wireless construction, flexible fabrics, back-smoothing coverage, and everyday comfort across selected styles.

WEST PEORIA, IL , June 2, 2026 — SoftestLayer, a women’s bra brand focused on everyday comfort and supportive design, today announced the availability of its bra collection for adult women seeking a softer alternative to traditional bras. The collection brings together wireless support, gentle shaping, back-smoothing coverage, support-focused construction, and stretchy fabrics designed for daily wear.

“SoftestLayer was created for women who want everyday bras that feel softer, smoother, and easier to wear. The collection focuses on wireless construction, flexible fabrics, and practical support details for daily routines,” said a SoftestLayer spokesperson. 

Many women want more from an everyday bra than basic coverage. Traditional bras may provide shaping or lift, but they can also feel stiff, restrictive, or uncomfortable after hours of wear. Underwires may dig into the body, narrow straps can create shoulder pressure, and limited back coverage may leave visible lines under clothing. SoftestLayer was created to address these common concerns with bras designed to feel soft against the skin while offering wireless support, smoother coverage, and a flexible everyday fit.

SoftestLayer’s product range includes wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles, giving customers multiple options based on their personal comfort needs, body shape, and wardrobe preferences. Across selected designs, the brand focuses on flexible construction, breathable materials, smooth finishes, and supportive details that help women feel more comfortable throughout the day.

One of the brand’s key design focuses is wire-free shaping. Selected SoftestLayer styles are made to help shape the bust without relying on traditional underwire pressure. The SoftestLayer Wireless Shaping Bra, for example, includes adjustable straps and a flexible fit intended to provide gentle lift while remaining lightweight for everyday wear.

Back and side smoothing are also central to the SoftestLayer collection. Rather than using stiff compression, selected designs use wider coverage areas, flexible bands, and smooth back structures to help create a cleaner silhouette under clothes. These design details are intended to reduce the appearance of visible lines around the back and sides and provide a smoother look under everyday clothing.

For women looking for additional structure, SoftestLayer also offers posture-supportive designs. The SoftestLayer Unlined Back Support Bra features a wire-free structure, front closure, wide straps, and back-support construction intended to encourage a more supported feel during everyday wear. The design is made to help distribute pressure more comfortably while offering smoother coverage across the back and underarm area.

Comfort remains the foundation of the brand’s positioning. SoftestLayer’s designs emphasize soft, stretchy, and breathable materials that move with the body rather than feeling rigid or restrictive. Selected styles use nylon-spandex blends described by the brand as breathable, soft, and lightweight for daily wear. This focus on stretch and softness is intended to make the bras suitable for long workdays, casual outings, travel, and relaxed home wear.

In addition to wireless shaping and posture support, SoftestLayer offers designs for different fit preferences. The Smooth Light Minimizer Bra is designed for women seeking a more balanced bust appearance and a smoother look under clothing. The Cotton Front-Closure Bra is created for women who prefer easier wear, front-fastening convenience, and everyday support. Together, these options provide customers with multiple style choices based on lift, smoothing, coverage, closure type, and comfort preferences.

SoftestLayer bras are available through the brand’s official website, where customers can explore different bra styles based on their preferred support needs, including wireless shaping, posture support, minimizer coverage, front-closure convenience, and back-smoothing designs. Product pages provide detailed information such as available color and size selections, sizing charts, product features, fabric and fit descriptions, and checkout options. 

According to the website, shipping costs are calculated based on the destination and number of items purchased, while selected product pages note an estimated 9–14 business day shipping window after order processing. Customers can also contact SoftestLayer through the support email and phone number listed on the website, with the contact page stating a response time of 24–48 hours Monday through Friday.

With its focus on wireless construction, flexible fabrics, back-smoothing coverage, and everyday wearability, SoftestLayer aims to offer bra options for women seeking comfort-focused support.

About SoftestLayer

SoftestLayer is a women’s bra brand focused on soft, supportive, and wearable bras for everyday life. The brand offers a variety of designs, including wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles. SoftestLayer emphasizes comfort-focused construction, flexible fabrics, wireless support, back-smoothing coverage, and wearable designs for everyday use.

For more information, visit: https://softestlayer.com/

 

Media Contact

Organization: SoftestLayer Clothing Co.

Contact Person: Emily Carter

Website: https://softestlayer.com/

Email:
support@softestlayer.com

Address:Heading Ave, West Peoria, IL 61604, United States

City: Illinois

State: IL

Country:United States

Release id:45633

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