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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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Press Release

Velaris Markets: an MT5 broker and a prop service, live since July 2026

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Each service has its own terms; the prop service uses demo accounts and is not a brokerage service.

Castries, Saint Lucia, October 28th, 2026 – Velaris Markets operates two services under one brand. Its brokerage offers CFDs on forex, indices, commodities and crypto on MetaTrader 5. Its prop service runs trading challenges on simulated accounts of up to $100,000: traders who pass and verify their identity receive a funded simulated account and 80% of the profit on that account, paid as a reward. Both services launched in July 2026.

Brokerage: two account types, no minimum deposit

The Standard account has spreads from 1.2 pips and no commission. The ECN account has spreads from 0.0 pips plus a commission of $7 per lot round turn on forex and metals. There is no minimum deposit. Leverage goes up to 1:200 on FX pairs and is lower on other asset classes. Clients deposit by card or in crypto (BTC, ETH, USDT, USDC). The client portal also offers copy trading, where a client’s own account follows a strategy provider, and Money Management (PAMM) pools run by pool managers.

Prop service: simulated accounts from $2,500 to $100,000

The prop service runs 1-Step challenges with account sizes from $2,500 to $25,000 and 2-Step challenges from $2,500 to $100,000, all on MT5, for a one-time fee starting at $29. There is no time limit to pass. A trader who passes and completes identity verification receives a funded account of the same size. Payouts run in 14-day cycles, and each payout request receives a decision within 48 hours. On the 2-Step challenge, the fee is returned with the first payout.

“Our experience in the industry shows that established firms in this business run both a brokerage and a prop structure, because together they build more trust in the brand,” said Yasen Dimitrov, Director of Velaris Markets. “A trader with a few hundred dollars has two options: trade that money directly, or pay a fee to prove a strategy on a larger simulated account. At Velaris the same trader can open a broker account with no minimum deposit, or start a $2,500 2-Step challenge for $29, where the most they can lose is the fee.”

Both services use the same support model. Live chat is open at any hour: an AI assistant answers first and hands over to the support team, which works Monday to Friday. The aim is to resolve the issue during the chat rather than open a ticket and reply later.

The brokerage is available at velarismarkets.com and the prop service at prop.velarismarkets.com. Neither service is available to citizens or residents of the United States or of sanctioned jurisdictions; the full lists are in each service’s terms.

About Velaris Markets

Velaris Markets Limited is a company incorporated in Saint Lucia in January 2026 under company number 2026-00083. It is not licensed by a financial regulator. Client funds at the brokerage are held separately from the company’s operating funds. The prop service is not a brokerage service and is not a regulated financial service; it is an evaluation program run on demo accounts.

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FinSight Ventures Launches $100 Million Physical AI Index Fund

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San Francisco, US, October 28th, 2026, FinanceWire

FinSight Ventures Launches $100 Million Physical AI Index Fund, Targeting the Third Wave of Artificial Intelligence

FinSight Ventures, a global technology investment fund with $1B+ AUM and a portfolio of 13 unicorns, announced the formation of the FinSight Physical AI Index Fund — its second thematic index fund and the first institutional vehicle dedicated exclusively to the Physical AI segment that interacts with the physical world.

The Fund targets a concentrated portfolio of 10–12 leading companies across four Physical AI segments — Robotics, AI for Science, Foundation Layer, and Hardware & Infrastructure — with an aggregate target capitalization of $5.7T by 2031.

“Physical AI is not a trend, but the third structural wave of artificial intelligence,” said Alexey Garyunov, Founder and General Partner of FinSight Ventures. “Perception AI gave machines eyes and ears. Generative AI gave them language. Physical AI gives them agency in the real world. We are now at the same inflection point that defined OpenAI and Anthropic in 2019 — except what is being built is an order of magnitude larger.”

The Fund’s investment thesis rests on a structural labor shortage that no conventional policy instrument can address at scale. According to UN projections, the working-age population across East Asia, Europe, and the United States will contract by 342 million people by 2050 — a cohort representing approximately 55% of global GDP. Migration flows are slowing down. Labor participation rates in advanced economies have reached their effective ceiling.

“We modeled every mechanism available to close a 342-million-person labor gap,” said Garyunov. “Offshoring runs against reshoring policy — the CHIPS Act, the IRA, the EU Chips Act. Migration is contracting, not expanding. Labor participation in developed markets is already at 74–80%. The only channel with growing capacity is automation through Physical AI. This represents a demographic inevitability rather than a simple technology bet.”

Market Context

According to PitchBook data, Physical AI’s share of global venture financing has grown from 0.8% in 2016 to 12% in 2025, with investment volume rising from $2.0B to $64.7B over the same period and reaching $72.2B in the first half of 2026 alone. The top 20 global venture funds have completed 345 transactions in the segment since 2022, two-thirds of them after January 2024.

The humanoid robot fleet is projected to reach between 330 million and 1 billion units by 2050, displacing an estimated $19.8T in annual labor value. At a 15–20% revenue capture rate and a 7.5–10x P/S multiple, the Physical AI sector is projected to carry a market capitalization of $22–40T by 2050.

“The enabling technologies converged in 2023–2025,” said Garyunov. “NVIDIA’s Cosmos world models solved the data problem — robots can now train millions of times faster in simulation than in the physical world. VLA models solved the intelligence problem — a single model sees, understands natural language, and acts. The EV supply chain solved the cost problem. The infrastructure for a Physical AI industry is in place. What follows is deployment at scale.”

About FinSight Ventures

FinSight Ventures is a global technology investment firm founded in 2012, with offices in the United States, India, and Cyprus. The fund manages $1B+ in assets across a portfolio that includes 13 unicorns. Portfolio companies comprise Klarna, Uzum, Razorpay, Cashea, Rappi, Punto Pago, and more than 80 other companies. Last year, FinSight launched the FinSight Gen AI Index Fund, which invested in 13 companies that represent the American AI Sector including Together AI, Fin AI, Crusoe, Glean among others.

Contact

PR manager
Eugene Medvedev
FinSight Ventures
em@finsightvc.com
+48515264291

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Upwind Closes $400 Million Series C at $3.8 Billion Valuation as Revenue Quadruples in 2026

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New York, United States, October 28th, 2026, FinanceWire

Led by Bessemer Venture Partners, the funding will accelerate Upwind’s cloud and AI security platform as enterprises face major infrastructure shifts and rising threats from AI-powered attacks and autonomous agents.

Upwind Security, the cloud and AI security company, today announced the close of its $400 million Series C funding round at a $3.8 billion valuation. The round was led by Bessemer Venture Partners, with participation from Canapi Ventures and existing investors Cyberstarts, Greylock Partners, Craft Ventures, Leaders Fund, Salesforce Ventures, TCV, Alta Park Capital, Penny Jar Capital, Cerca Partners, Swish Ventures, and Picture Capital. 

The announcement follows a period of significant growth for Upwind, which has quadrupled its revenue in 2026 as enterprises seek security platforms built for increasingly complex cloud environments and AI-driven workloads. The company’s valuation has increased substantially from its $1.5 billion valuation in its Series B round in January 2026.

“AI is fundamentally changing both the cloud infrastructure architecture and the scale of cyber threats and how organizations build and operate software,” said Amiram Shachar, CEO and Co-Founder of Upwind. “Context is key to managing internal and external risks, security teams need to understand how cloud, and AI interact in real time. We built Upwind to unify those signals and eliminate complexity, helping organizations identify their most critical exposures, fix risks proactively, and detect attacks as they happen.”

Security Built for the Agentic Era

The rapid adoption of AI is creating new challenges for enterprise security teams. Attackers use AI to increase the scale and sophistication of their operations, employees use large language models to build new applications, and agents are autonomously operating within the organization. The possibilities for new risks and threats are growing exponentially.

The traditional, fragmented approach to security creates silos, providing alerts without enough context to determine the intent behind an AI agent’s activity or whether a vulnerability creates a reachable exposure. Upwind takes a different approach by using runtime intelligence context across cloud workloads, APIs, and AI agents.

The company’s Cloud and AI Security Platform reshapes cybersecurity by working from the inside-out. The platform combines the context of a customer’s cloud workloads, APIs, and agents with runtime intelligence to give security, development, and DevOps teams a shared understanding of the most critical risks and reachable exposures, how to fix them, and to catch new attacks in real time. 

“Upwind gives us the exact visibility and context we need to stay ahead of cloud threats with complete confidence” says Tushar Dalvi, Deputy CISO at Confluent. “It has removed the complexity from cloud security to give us a clear, high-impact defense strategy with minimal overhead.”

To further meet the speed of AI risks and threats, security teams are amplified with specialized AI agents that investigate threats autonomously, act as a red team validating attack surface findings, and remediate risks in your infrastructure at machine speed, eliminating the heavy lifting of triage so teams can focus on judgement and response.

“Security needs to keep pace with environments that AI agents can change at a speed and scale that human teams alone cannot match,” Shachar said. “By combining real-time intelligence at runtime with the context needed to understand and remediate risk, we’re helping organizations move beyond alert management toward proactive security.”

Expanding Enterprise Adoption

Founded in 2022, Upwind was designed around the premise that cloud security must account for what is happening inside live environments, rather than relying primarily on periodic assessments and static snapshots. As enterprises modernize their infrastructure and deploy AI-powered applications, the company aims to provide a unified view of security risks across increasingly interconnected systems.

Upwind supports Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure. Through its integration with AWS Security Hub, customers can access Upwind directly within the AWS console, with simplified onboarding and unified billing through AWS.

The new funding will support the company’s continued product development and go-to-market expansion as it builds on its momentum with enterprise customers.

“Our investors have backed our vision and the traction we’re seeing in the market,” Shachar said. “This round gives us the opportunity to accelerate our momentum, expand our capabilities, and continue delivering the innovation customers need to secure cloud and AI infrastructure in the agentic era.”

“Upwind gave us visibility into what is actually running, not just what a scan found. That changed which risks we spend our time on.” – Michael Cannizzo, CISO of HedgeServ

“Setup only took days. What stood out after that was visibility into live workloads rather than a snapshot, and that redirected where our team spends effort.” – Russ Kirby, CISO of Ping

About Upwind Security

Upwind is the Cloud and AI security platform. Hundreds of organizations, including Siemens, Roku, Carvana, Nubank, Supabase, and ClickUp, trust Upwind to secure their cloud and AI infrastructure, applications, and agents. Upwind uses the context of your cloud workloads, APIs, and agents to give security, development, and DevOps teams the ability to fix the most critical risks and reachable exposures proactively while catching attacks in real time. To learn more, follow Upwind on LinkedIn, X, and YouTube.

Contact

Omri Hurwitz
omri@omrihurwitz.com

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