INVESTING YACHTS Launches RWA Yacht Charter Model

TheNewsCryptoPublicado em 2026-02-08Última atualização em 2026-02-08

Resumo

Investing Yachts has launched a real-world asset (RWA) yacht charter model using blockchain to tokenize luxury yacht charter revenue through its upcoming $YATE token. The platform aims to democratize yacht investment by removing traditional barriers like high capital requirements and illiquidity. The model allocates up to 65% of annual net charter profits to tokenholders who lock $YATE in protocol vaults, with 10% of profits used for token buyback and burns. New tokens are minted only when new yachts or assets are acquired. A pre-sale for $YATE begins on February 25, 2026, starting at $0.10 per token with a daily price increase of 0.75% over nine months, targeting a $1.00 listing price. The project leverages broker partnerships and targets the multi-billion dollar yacht charter market.

Ibiza, Spain, February 8th, 2026, Chainwire

Investing Yachts today introduced its real-world asset (RWA) yacht charter model, a blockchain-based approach designed to tokenize exposure to potential double-digit revenue generated by luxury yacht charter operations via their upcoming $YATE token. Being their ultimate goal to democratize access to all private equity sectors.

Positioning itself at the intersection of yachting and on-chain finance, Investing Yachts is built to remove traditional barriers associated with yacht investing—such as high minimum capital requirements, illiquidity, and operational complexity—by offering a token-based structure intended to be tradable on markets and supported by a managed charter fleet.

How the model is designed to work

At the core of the Investing Yachts model, the $YATE ecosystem connects charter activity to tokenholder incentives through a rules-based framework:

Charter profit distribution: Up to 65% of annual net charter profits is intended to be distributed to tokenholders who lock $YATE into protocol “vaults,” with different lock periods associated with different maximum shares of the profit pool.
Buyback & burn: A defined portion of net profits, 10%, is earmarked for buying back tokens and burning them, aiming to reduce circulating supply over time.
Asset-tied issuance: New tokens are being minted in connection with acquiring additional yachts or other real-world assets, using a NAV-based issuance framework designed to align token supply with the underlying asset base and charter activity.

$YATE Token Pre-Sale

Investing Yachts states that the $YATE pre-sale is scheduled to open on February 25, 2026, with the goal of expanding community participation ahead of broader exchange availability.

As described on the website and in the whitepaper documentation, the pre-sale pricing is structured as follows:

Initial price: 0.10 USDT per $YATE
Dynamic increase: +0.75% price increase every 24 hours
Duration: 9 months
Target post–pre-sale listing price: 1.00 USDT

The documentation also outlines vesting terms for pre-sale tokens, as well as other mechanisms aligned to provide sustainable growth stability for the project, rewarding long-term holders and early adopters.

Broker Network and Market Positioning

The global yacht charter and yachting services market represents a multi-billion-dollar industry, traditionally limited to a small group of high-capital participants. Investing Yachts aims to use its RWA structure to broaden access by enabling community participation through $YATE, bringing a token-based framework to a segment that has historically remained offline and illiquid.

Investing Yachts has established relationships with experienced yacht brokers and industry intermediaries to support fleet sourcing and charter deployment. These connections are intended to strengthen the project’s ability to identify acquisition opportunities, negotiate terms, and access vessels aligned with demand in key charter regions.

Community and updates

Investing Yachts is publishing updates via social channels and encourages supporters to follow the project for pre-sale announcements, documentation updates, and roadmap progress:

X: https://x.com/Investingyachts
Instagram: https://www.instagram.com/investing.yachts/
Telegram: https://t.me/+kLdobl6TM2kzYzJk

About Investing Yachts

Investing Yachts is a blockchain platform described as an RWA project focused on tokenizing exposure to luxury yacht charter economics through the $YATE token (Ethereum ERC-20).

Investing Yachts lists a management team and advisory group spanning technology, yacht operations, finance, media, and international legal expertise. It counts on leadership with backgrounds in algorithmic trading, yacht charter operations, and institutional markets, including experience at major international banks.

Disclaimer: This press release is for informational purposes only and does not constitute investment advice.

Contact

Media Manager
Alvaro Reyes
Investing Yachts
info@investingyachts.com

Perguntas relacionadas

QWhat is the core innovation introduced by Investing Yachts in their new model?

AInvesting Yachts introduced a real-world asset (RWA) yacht charter model, which is a blockchain-based approach designed to tokenize exposure to the revenue generated by luxury yacht charter operations through their $YATE token.

QWhat are the three main mechanisms of the $YATE ecosystem's rules-based framework?

AThe three main mechanisms are: 1) Charter profit distribution of up to 65% of annual net profits to locked token holders, 2) A 10% buyback and burn program to reduce circulating supply, and 3) An asset-tied issuance model that mints new tokens based on acquiring additional yachts or assets.

QWhen is the $YATE token pre-sale scheduled to begin and what is its initial price?

AThe $YATE pre-sale is scheduled to open on February 25, 2026, with an initial price of 0.10 USDT per token.

QHow does Investing Yachts aim to overcome the traditional barriers of yacht investing?

AIt aims to remove traditional barriers like high minimum capital requirements, illiquidity, and operational complexity by offering a token-based structure that is intended to be tradable on markets and supported by a managed charter fleet.

QWhat is the target listing price for the $YATE token after its 9-month pre-sale period?

AThe target post-pre-sale listing price for the $YATE token is 1.00 USDT.

Leituras Relacionadas

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbitHá 12m

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbitHá 12m

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbitHá 19m

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbitHá 19m

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbitHá 28m

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbitHá 28m

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbitHá 31m

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbitHá 31m

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbitHá 33m

a16z Crypto Partner: Cash Flow is the Moat