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In the last few years, two revolutions have been unfolding side by side. Artificial intelligence is rapidly reshaping the way we create, imagine, and communicate. At the same time, Web3 has introduced entirely new ways of owning, trading, and building value online. But despite their shared potential, these worlds often feel like strangers passing in the night.

Creators play with AI tools but find them scattered, limited, or too costly to scale. Token launches promise decentralization yet too often collapse into speculation, leaving creators and communities with little long-term value. And AI agents — powerful as they are — remain cut off from the decentralized systems where real economic activity takes place.

Holoworld AI was born to close these gaps. It is a platform that blends AI-native creativity with fair token economies and gives AI agents the ability to live and act inside the Web3 ecosystem.

Rethinking the Creator Experience

At the heart of Holoworld is Ava Studio, an AI-native environment designed to feel less like a tool and more like a creative partner. Instead of juggling fragmented apps for writing, animation, and editing, a creator can simply bring a character to life. Personalities, voices, and performances can be shaped with ease, and entire scenes can be generated directly from scripts.

For small creators, this means a chance to build content at a professional level without needing a full studio. For larger teams, it means scalable pipelines that free up time for storytelling and community building instead of production bottlenecks.

Fairness in the Web3 Economy

The Web3 space has promised creators new ways to monetize, but many launches have been anything but fair. Early access often goes to a handful of insiders, while communities are left holding speculative tokens with little actual use.

Holoworld is introducing a different approach. Its token launch infrastructure is built around fairness and sustainability. That means equitable distribution models to keep whales from dominating, rewards that go back to early supporters, and tokens that actually carry utility inside the ecosystem — from governance to access and participation.

In this way, tokens stop being chips in a casino and instead become functional, long-term assets that power a thriving creative economy.

Giving AI Agents Real Agency

The most groundbreaking piece of Holoworld might be its universal connectors, developed under the name OpenMCP. These connectors allow AI agents to do more than generate ideas or hold conversations. They let them participate.

With wallet integration and smart contract access, an AI agent can send or receive assets, stake tokens, trade NFTs, or even vote in community governance. They are no longer passive assistants but autonomous collaborators who can share in the life of a decentralized economy.

Imagine a digital character that helps you write a series, earns income through tokenized access, and then reinvests into the community that supports it. This is the shift from artificial intelligence to agentic intelligence.

What This Means for the Ecosystem

For creators, Holoworld represents a true studio — one that combines powerful AI production tools with real, sustainable monetization.

For communities, it offers new ways to share in value creation, from governance rights to direct participation in creative economies.

For developers, it opens up a toolkit to connect AI with decentralized apps, giving rise to entirely new classes of applications.

And for AI agents themselves, it unlocks something that has so far been missing: a way to step into the economy as active participants, able to earn, spend, and collaborate.

Looking to the Future

The vision of Holoworld AI is not about building another app or another marketplace. It’s about weaving together the fragmented threads of today’s digital landscape into something more whole.

A future where creators thrive alongside AI, not compete with it.
A future where tokens mean more than speculation and instead serve as the building blocks of sustainable, engaged communities.
A future where AI agents aren’t locked away in silos but are free to act, transact, and evolve alongside humans in the open economy of Web3.

Holoworld AI is setting the stage for that future — a digital renaissance where creativity, intelligence, and ownership are not separate forces, but parts of the same story.
@Holoworld AI $HOLO #HoloworldAI

The Zero-Knowledge Revolution

In the world of blockchain, one idea has been quietly reshaping what’s possible: zero-knowledge proofs. At their core, these proofs let someone show that a statement is true without revealing the details behind it. For blockchains, this means faster transactions, stronger privacy, and the ability to move information between systems with confidence.

The catch? Creating these proofs is incredibly hard work. While verifying them is fast and cheap, generating them takes serious computing power. Every new rollup or blockchain that wants to scale with zero-knowledge technology usually ends up building its own proving system, burning time and money while repeating the same work.

Boundless wants to change that.

What is Boundless?

Boundless is not just another proving system. It’s a shared proving infrastructure designed to serve every blockchain, rollup, and application that needs scalable zero-knowledge proofs. Instead of each project building its own closed system, Boundless creates an open marketplace where independent nodes—called provers—do the heavy lifting of generating proofs, while blockchains only need to run lightweight verification on-chain.

The magic ingredient is something called a zero-knowledge virtual machine, or zkVM. Think of it as a universal engine that can take normal programs, run them, and then produce a cryptographic proof that everything was done correctly. For developers, this means they don’t need to be experts in cryptography or design custom circuits. They just write code, and Boundless makes it provable.

How Boundless Works

Here’s what happens behind the scenes:

1. An application or rollup submits a job to Boundless. This might be a batch of transactions, a state update for a bridge, or even a complex computation like machine learning.

2. Independent prover nodes pick up the job. Using powerful hardware, they run the computation inside the zkVM and produce a proof.

3. Proofs can be batched or aggregated to save resources.

4. The proof is submitted back on-chain. A lightweight verifier checks it in milliseconds.

5. Once verified, the prover gets rewarded for their work.

It’s a simple flow, but the implications are enormous. Boundless makes proof generation a service—fast, flexible, and available to anyone who needs it.

Why Boundless Matters

Boundless addresses some of the biggest pain points in blockchain scalability:

Lowering costs
By sharing proving infrastructure across ecosystems, the cost of generating proofs is dramatically reduced. No more duplicated efforts for every chain.

Breaking bottlenecks
Offloading proof generation to specialized nodes frees networks from computational limits, allowing them to process far more transactions.

Making zero-knowledge accessible
The zkVM removes barriers for developers. Instead of learning complex cryptography, they can focus on building useful applications.

Interoperability at its core
Boundless is not tied to any single blockchain. Proofs generated through it can be verified anywhere, from Ethereum to rollups to app-specific chains.

A healthier ecosystem
By turning proving into an open market, Boundless encourages competition among provers, decentralizing the process and making the system more resilient.

Beyond Rollups: Wider Possibilities

Although rollups are the most obvious use case, the vision of Boundless stretches much further.

Cross-chain bridges can use proofs to verify state across networks without relying on trusted intermediaries.

AI and data-heavy applications can run computations off-chain while proving their correctness on-chain.

Privacy-focused tools like voting systems or messaging apps can outsource proving without sacrificing security.

Games and financial apps can offload complex logic while keeping final results trustless.

In this sense, Boundless is more than scaling infrastructure. It’s a proving backbone for whatever decentralized applications come next.

The Market for Proofs

At the heart of Boundless is a simple but powerful idea: proofs should be generated in a competitive, open marketplace.

Provers are paid for producing valid proofs, with correctness guaranteed by cryptography itself. Payments are automatic, tied to the submission of a valid proof, and do not depend on trust.

This system ensures that the cost of proving reflects real demand, that specialization is rewarded, and that the whole market remains dynamic and efficient.

Security and Trust

Boundless is built around the principle that trust should rest on math, not intermediaries.

Proofs themselves guarantee correctness.

Provers can be required to stake tokens, discouraging bad behavior.

Verification always happens on-chain, ensuring transparency and neutrality.

This model makes Boundless not only efficient but also deeply aligned with the decentralized ethos of blockchain.

Looking Forward

Boundless is already making moves. Testnets have launched, partnerships with interoperability projects like Wormhole are underway, and experiments with zk finality clients—systems that let one chain verify another’s consensus through zero-knowledge proofs—are gaining traction.

The long-term vision is clear: Boundless wants to become the proving backbone for a multi-chain, zero-knowledge world. Just as cloud computing abstracted away hardware management in Web2, Boundless aims to abstract away the complexity of proving in Web3.

Conclusion

Boundless is building the invisible infrastructure that could define the next era of blockchains. By making proving scalable, affordable, and universally available, it unlocks the true potential of zero-knowledge technology.

In the coming years, as applications become more complex and as blockchains demand greater interoperability, it may not be individual proving systems that carry the load. It may be Boundless—a shared, decentralized, and resilient proving market—that keeps the whole ecosystem running smoothly.
@Boundless $ZKC #boundless

A Shift in Finance is Happening

For years, crypto has been defined by speculation—tokens, memes, and volatile markets. But a quiet revolution is underway that could reshape not just the blockchain industry but the foundations of global finance. It’s called Real-World Asset Finance (RWAFi), and at its core is the idea of taking tangible assets—like real estate, credit, invoices, commodities, and bonds—and bringing them onto the blockchain.

Doing this at scale requires more than just token standards. It demands a chain that understands compliance, identity, and the real-world complexity of legal and financial systems. That’s where Plume comes in.

What Makes Plume Different

Plume isn’t trying to be a chain for everything. It’s not built for gaming, or social tokens, or NFTs. It’s built for one thing: real-world assets.

The network is an Ethereum Layer 2, built on the OP Stack, which means it inherits Ethereum’s security but offers lower fees and faster speeds. More importantly, it bakes compliance into the core of the chain.

Where most blockchains leave KYC, accreditation checks, and sanctions screening to third-party apps, Plume provides these as native features. That means asset issuers don’t have to reinvent compliance for every project. Instead, they can plug into chain-level infrastructure designed specifically for RWAs.

The Building Blocks of Plume

Here’s what makes the Plume ecosystem stand out:

Compliance and identity – On-chain KYC, AML, and accreditation modules so issuers can meet legal obligations while still using open blockchain rails.

Token standards for RWAs – Smart contracts that handle ownership rights, transfer restrictions, and corporate actions like repayments or redemptions.

On-chain registries – Transparent records of who owns what, making auditing and servicing straightforward.

DeFi integration – RWAs on Plume aren’t siloed. They can flow into lending markets, vaults, and automated market makers, so investors get liquidity and yield.

Developer-friendly – Because it’s EVM-compatible, teams can use familiar tools like Solidity and Metamask, but now with RWA-focused features already built in.

From Vision to Reality

Plume isn’t just a whitepaper project—it’s live and growing fast.

In June 2025, Plume launched its mainnet with around $150 million in tokenized assets on day one. These included diverse categories like solar projects, Medicaid receivables, consumer credit, and corporate debt.

Just months later, total value locked had grown past half a billion dollars, making Plume one of the fastest-growing ecosystems in the RWA space.

Protocols like Clearpool, DeSyn, Morpho, Nucleus, and Nest are already building on top, offering products like credit vaults, yield strategies, and lending markets powered by tokenized real-world assets.

The momentum suggests that issuers and investors have been waiting for infrastructure exactly like this.

Why RWAFi Needs a Chain Like Plume

Tokenizing real-world assets is tricky. Laws differ across jurisdictions. Investors need to be screened. Transfers often have to be restricted. At the same time, for tokenization to matter, these assets must actually be useful—they need to generate yield, be used as collateral, or be traded on secondary markets.

This is the tension Plume was built to resolve: how do you keep regulators happy without losing the liquidity and composability that make DeFi powerful?

By combining compliance modules with an open DeFi stack, Plume’s answer is a hybrid model. Assets can have the restrictions they need, but once admitted, they can circulate through lending pools, vaults, and other DeFi protocols.

The Road Ahead

There’s no question that RWAFi is coming. Analysts see trillions of dollars in potential assets that could be tokenized in the coming years. The open question is who provides the rails.

General-purpose chains like Arbitrum or Optimism can host RWAs, but they don’t solve compliance out of the box.

Permissioned blockchains keep regulators comfortable, but they give up the open liquidity that DeFi makes possible.

Plume’s strategy is to sit in the middle: an Ethereum-secured L2 with RWA-specific features baked in, designed for both institutions and DeFi builders.

Challenges Still Ahead

Plume’s path isn’t without risks. Regulatory landscapes can shift quickly. Off-chain data, like servicing updates or valuations, must be accurate or the token loses credibility. And liquidity, while growing, is still early compared to traditional markets.

But if Plume can continue to concentrate RWA activity, it has a shot at becoming the go-to chain for this sector—reducing fragmentation and creating a deep pool of compliant, yield-bearing assets.

LFG
The first wave of crypto showed what decentralized systems could do with money native to the internet. The next wave may be far bigger: bringing the assets of the real world into that same system.

Plume is betting that the future of finance won’t be built on general-purpose chains or closed private networks, but on specialized infrastructure that blends compliance with composability. If it succeeds, it won’t just unlock new markets for DeFi—it could redefine how capital flows around the world.
@Plume - RWA Chain $PLUME #plume

A New Way to Think About AI and Blockchain

Artificial intelligence has exploded into every part of our lives. From chatbots to predictive systems, AI is now a core driver of business, science, and creativity. But behind every AI model is a vast amount of data, hours of training, and countless human contributions. Right now, much of that value gets captured by a handful of corporations, while the people who actually provide the data, the compute power, or the fine-tuning rarely get rewarded.

OpenLedger is designed to change that. It is not just another blockchain; it is a blockchain built from the ground up for AI. Its vision is simple but powerful: make data, models, and AI agents into liquid, ownable, and tradable assets. In other words, OpenLedger wants to turn intelligence itself into a transparent, fair, and decentralized economy.

Why OpenLedger Exists

The idea behind OpenLedger comes from two big truths about AI today:

1. Contributors are invisible. If you provide valuable data or help improve a model, you almost never see long-term returns.

2. Attribution is broken. Once a model is trained, no one can easily prove which data or tweaks shaped its results.

OpenLedger introduces something new to solve this: Proof of Attribution. This is a protocol-level system that traces how data and models are used, then ensures contributors are automatically rewarded whenever their work powers an AI output. Imagine being paid every time a model answer is influenced by your dataset. That’s the promise.

How It Works

OpenLedger has built a few key tools to make this ecosystem real and usable:

Datanets

Think of Datanets as living, shared libraries of specialized data. Communities or individuals can create them around specific domains — medical images, legal text, regional dialects, or anything else. Contributors add data, which gets validated and scored for quality. When that data is later used to train or power a model, the contributors earn a share of the rewards.

Model Factory

This is the workshop for building models. Instead of needing deep technical knowledge or massive infrastructure, Model Factory provides easy workflows for fine-tuning and publishing models using Datanets. Every model comes with clear records of where its data came from and who contributed, making ownership transparent.

OpenLoRA

Deploying AI models is usually expensive and resource-heavy. OpenLoRA is OpenLedger’s solution — a highly efficient way to host many specialized models at low cost. This makes it feasible for niche models to actually be deployed and used, while still tracking usage and paying contributors.

Proof of Attribution

This is the heart of the system. It creates a verifiable chain from training data to model to inference, so that every time an AI gives an answer, the system knows which data and contributions influenced it. Rewards are then distributed fairly and automatically, without middlemen.

The Role of the Token

OpenLedger runs on its native token, called OPEN. It serves multiple purposes:

It is the fuel for transactions, model queries, and uploads.

It pays contributors, from data providers to model builders.

It gives holders a say in governance decisions about how the network evolves.

It can also be staked or used as collateral in the wider decentralized finance ecosystem.

By connecting value directly to usage, the token creates a real incentive for people to keep contributing data, models, and compute power.

What This Means in Practice

Here’s a simple story of how someone might use OpenLedger. Imagine a group of teachers in a rural area contributing voice recordings of a rare dialect into a Datanet. A developer then uses that data to fine-tune a speech recognition model. When the model is deployed and people use it to transcribe audio, the Proof of Attribution system automatically traces the influence of those dialect recordings and sends micro-payments back to the teachers. Instead of their knowledge disappearing into a black box, it becomes a living asset that earns over time.

Why It Matters

OpenLedger opens doors to an entirely new economy around AI:

Fair compensation: The people who provide the raw fuel for AI — data and knowledge — finally get rewarded.

Transparency: Every step of AI development and usage is visible and auditable.

Specialization: Instead of only giant, general-purpose models, small teams can build highly targeted models for specific industries or communities.

New applications: AI systems can now be built with built-in fairness and attribution, making them more trustworthy for sensitive fields like healthcare, finance, or education.

Democratization: Anyone with data, expertise, or compute power can participate and share in the value.

The Challenges Ahead

Like any ambitious project, OpenLedger faces hurdles. Tracking attribution in complex AI models is technically hard. Ensuring rewards are fairly distributed at scale will require constant refinement. And legal questions about data ownership and AI accountability remain. But the foundations are there, and early traction shows strong interest from developers, communities, and investors.

LFG
OpenLedger is aiming to do for AI what Ethereum did for programmable money — make intelligence itself programmable, liquid, and fair. If it succeeds, the way we build, deploy, and pay for AI could change forever. Instead of a few giants owning the future of AI, a truly global, decentralized ecosystem could emerge — one where every contributor, big or small, has a stake in the intelligence they help create.
@OpenLedger $OPEN #OpenLedger

When most people think of blockchains, they imagine decentralized finance dashboards, NFT marketplaces, or gas fees that spike the moment a popular mint goes live. Somnia is trying to shift that picture. It’s a new EVM-compatible Layer-1 blockchain designed not just for traders or protocol builders, but for everyday consumers—gamers, creators, and entertainment communities.

What makes Somnia unusual is its ambition: to make real-time, fully on-chain experiences—think massive multiplayer games, virtual concerts, or bustling metaverses—actually usable. To pull this off, Somnia has rethought the underlying architecture while keeping Ethereum compatibility intact. That balance—familiar tools with radical performance—is the chain’s defining bet.

Why Somnia was built

The internet has never struggled to keep pace with games or social apps, but blockchains have. Ethereum, the backbone of Web3, was never meant to handle millions of players attacking the same in-game boss or a viral NFT drop minting hundreds of thousands of tokens in minutes. Even L2s and parallel-execution chains often falter when traffic is highly correlated—when everyone piles into the same contract at once.

Somnia’s team saw this as the real choke point for consumer adoption. It’s not just about raw throughput; it’s about handling the hardest moments gracefully. If a game freezes, a concert lags, or a marketplace crashes at peak activity, trust is broken. So Somnia focuses less on abstract scalability and more on predictable, low-latency performance under pressure.

The four pillars of Somnia’s architecture

Somnia’s technical foundation is built on four major innovations, each aimed at making the chain faster, fairer, and more resilient.

1. MultiStream Consensus
Instead of every validator publishing into a single block, Somnia splits responsibilities. Each validator writes to its own data stream, while a separate consensus chain ensures everyone stays in sync. This separation means the network can absorb massive amounts of input without clogging. It also enables something clever: real-time compression of transaction streams, dramatically reducing bandwidth costs.

2. Accelerated Sequential Execution
Many modern blockchains chase parallelization. Somnia goes the other way. It argues that when traffic spikes, most users are hitting the same contract or pool, so parallelism helps little. Instead, Somnia compiles EVM bytecode down to native instructions, making single-threaded execution blisteringly fast. In practice, this means millions of simple transactions per second on a single core, while still running Solidity smart contracts.

3. IceDB: Deterministic Storage
Blockchains live and die by how they manage state. Somnia’s custom database, IceDB, guarantees predictable access costs. Every read and write generates a performance “receipt,” ensuring gas reflects actual resource usage. This helps smooth gas fees during surges and avoids the latency spikes seen on general-purpose databases. For game loops and virtual economies, that predictability matters.

4. Streaming Compression & Signature Aggregation
At scale, even broadcasting raw transactions can become a bottleneck. By compressing validator streams (referencing previous bytes) and aggregating validator signatures using BLS cryptography, Somnia reduces the network overhead to something manageable, even when processing hundreds of thousands of transactions per second.

Performance promises

Somnia’s benchmarks are bold:

Over 1 million transactions per second in lab tests.

Sub-second finality with block times near 100 milliseconds.

Sustained loads of 50k swaps per second in a single pool or hundreds of thousands of NFT mints per second on one contract.

Are these numbers production realities yet? Not fully. They represent best-case capabilities shown in controlled conditions. But the underlying design is what makes those benchmarks at least plausible.

Tokenomics: the SOMI token

Somnia’s economy revolves around its native token, SOMI, with a fixed supply of 1 billion tokens.

Gas & staking: SOMI powers transactions and secures the network through delegated proof-of-stake.

Deflationary model: Every transaction splits fees—50% burned, 50% rewarded to validators. If the chain succeeds in driving volume, SOMI becomes naturally deflationary over time.

Fee design: Somnia introduces volume discounts (the higher your transaction load, the lower your effective gas cost) and transient storage tiers for temporary data. For example, storing an in-game event for just an hour can be up to 90% cheaper than permanent storage.

The allocation is fairly standard: 11% for the team, ~15% each for partners and investors, ~27% for ecosystem growth, and ~28% for the community—with cliffs and multi-year vesting schedules.

Developer and user experience

For builders, the best part of Somnia is that it feels like Ethereum. You can use Solidity, deploy with Hardhat or Foundry, and connect with popular wallets. RPC endpoints and explorers are already live, and the docs include quickstarts for DeFi, NFTs, and games.

The gas model is a little different, especially for contract deployment (heavier fees on bytecode storage), but once you understand the pricing tiers, you can optimize for speed and cost. For example, a game developer might keep real-time player positions in transient storage, only persisting long-term items like rare loot or achievements.

Partnerships and ecosystem

Somnia has started building credibility through strategic partnerships:

BitGo now supports SOMI custody, a signal to institutional players that the chain is worth watching.

GameFi.org has partnered with Somnia to launch a $10M grant program for gaming projects, positioning the chain as a go-to for Web3 game studios.

Early community attention is coalescing around gaming titles like Maelstrom and Netherak Demons, which are experimenting with fully on-chain mechanics.

How it stacks up

Compared to parallel-execution chains like Aptos or Sui, Somnia bets on single-core performance and compression rather than speculative concurrency. Compared to Ethereum rollups, it avoids the fragmentation problem—everyone shares the same state, making it easier to host large-scale shared experiences like concerts or raids.

This doesn’t mean Somnia is “better” across the board, but it’s a differentiated vision. Where others optimize for generalized DeFi, Somnia optimizes for shared, synchronous human activity.

Looking forward

Somnia is still young. Mainnet is live, custody and grants are rolling out, but adoption is just beginning. Its success depends on whether developers actually build the kinds of apps it was designed for: fast-paced games, global-scale events, or social apps that need both speed and permanence.

If they do, Somnia could carve out a unique place in the blockchain world: not as another DeFi chain, but as the infrastructure for the metaverse generation.
@Somnia Official $SOMI #Somnia

A New Chapter for Decentralized Finance

Decentralized finance (DeFi) has grown from an experimental playground into a multi-billion-dollar ecosystem. It has proven that people all over the world can access lending, trading, and yield opportunities without banks or middlemen. But despite the progress, DeFi still struggles with fragmentation, inefficiency, and complexity.

Liquidity, the fuel that powers all of DeFi, often sits idle or trapped in isolated pools. Yield opportunities are hard to access for everyday users. And moving capital across chains can be slow, risky, and confusing.

Mitosis steps into this landscape with a bold vision: to make liquidity programmable and portable. Instead of seeing liquidity as something you lock away, Mitosis reimagines it as a living resource that can be moved, reassembled, and reused across chains and strategies.

The Problem: Siloed and Stagnant Liquidity

Before understanding what Mitosis does, it’s important to see what’s broken:

Liquidity fragmentation: Capital is scattered across blockchains and protocols, creating inefficiencies and shallow markets.

Wasted potential: Once liquidity is bridged or deposited, it often sits idle and can’t be reused elsewhere.

Unfair access: Advanced yield strategies are usually captured by large institutions or power users, leaving smaller participants behind.

Risk concentration: Without flexible tools, users face challenges in managing exposure or creating structured products.

The result is an ecosystem that is vibrant but clunky—full of opportunity, yet limited by how liquidity is treated.

The Core Idea: Programmable Liquidity

Mitosis tackles this by treating liquidity as something dynamic and programmable. When users deposit assets into Mitosis, those assets are converted into standardized tokens called Hub Assets (also known as miAssets).

These Hub Assets act as digital twins of the original deposits. But unlike traditional wrapped tokens, they are designed to be:

Portable: They move seamlessly across chains.

Composable: They can slot into different strategies without being unwrapped.

Programmable: They carry rules and metadata that allow them to interact with financial products in more sophisticated ways.

In practice, this means that one deposit can travel across ecosystems, earn yield in different venues, and even form the foundation for structured products—all without the user needing to manage multiple steps.

Two Paths for Capital: EOL and Matrix

Once assets are converted into Hub Assets, Mitosis provides two primary avenues for deploying liquidity:

1. Ecosystem-Owned Liquidity (EOL): This is a base layer of liquidity that is always available, helping stabilize the ecosystem and provide depth. Think of it as the backbone that keeps markets liquid and resilient.

2. Matrix Strategies: These are curated, higher-yield opportunities where Hub Assets can be allocated. They include lending, hedged LP strategies, and other forms of active financial engineering.

Together, these create a balance: EOL ensures stability, while Matrix unlocks growth and innovation.

Unlocking New Possibilities

By introducing programmable liquidity, Mitosis opens doors that previously seemed out of reach in DeFi:

Fairer access to yield: Everyone, not just institutions, can tap into advanced strategies.

Capital efficiency: Liquidity doesn’t lose utility after being bridged—it can be redeployed again and again.

Risk layering: Developers can design products with senior/junior tranches, structured risk, and hedging built in.

Cross-chain freedom: Assets become fluid, flowing where they are needed most without friction.

This is a leap forward from static LP tokens or siloed vaults.

Governance and Alignment

Mitosis is not just infrastructure—it is a community-driven ecosystem. Its governance model aligns users, developers, and the protocol itself through a multi-layered token design. Different tokens focus on utility, governance, and long-term alignment, ensuring that those who contribute to and rely on the system have a say in its direction.

Why Mitosis Matters

Mitosis should be seen as the plumbing of tomorrow’s DeFi. Just as smart contracts unlocked programmable logic for money, Mitosis aims to unlock programmable liquidity.

Its impact can be summed up in three ways:

1. Leveling the playing field: Advanced strategies become accessible to everyday users.

2. Eliminating inefficiencies: The same capital can work across multiple venues and chains.

3. Accelerating innovation: Developers gain new tools to build structured products and automated financial systems.

If successful, Mitosis will make liquidity as flexible and powerful as code itself.

Risks and Considerations

Of course, no protocol is without risks. The programmability and cross-chain design of Mitosis introduces new attack surfaces that must be secured. Adoption is key—the protocol becomes more useful as more chains and applications integrate it. And governance will need to remain transparent to ensure strategies are managed responsibly.

Conclusion: A Living Layer for DeFi Liquidity

Mitosis offers a glimpse of what the future of DeFi could look like: an ecosystem where liquidity is not static, but alive. Where capital moves seamlessly across chains, strategies, and products. Where advanced financial engineering is not limited to institutions, but accessible to anyone with an internet connection.

By reimagining liquidity as programmable, Mitosis builds the foundation for a more efficient, equitable, and innovative financial system.

In this vision, liquidity no longer sleeps—it evolves, adapts, and works endlessly, creating a more open future for finance.
@Mitosis Official $MITO #Mitosis

A New Era for Oracles

Blockchains are powerful, but they live in a sealed world. On their own, they can’t see prices, exchange rates, or stock values. For that, they depend on oracles—systems that pull in off-chain data and make it available for smart contracts.

The problem is that most oracles rely on middlemen. They depend on independent nodes to scrape or relay prices from APIs, then publish them on-chain. This extra layer can slow things down, create risks, and introduce uncertainty. In financial markets, where even milliseconds matter, those drawbacks can be costly.

This is where Pyth Network steps in. Instead of relying on third-party data fetchers, Pyth connects directly to the source—exchanges, trading firms, and market makers—so that the data feeding into DeFi protocols is authentic, transparent, and lightning fast.

What Makes Pyth Different

First-Party Data

At its core, Pyth was built on a simple but radical idea: the best data should come from the people who create it. If an exchange is quoting the price of Bitcoin, or a market maker is setting spreads for a trading pair, those values flow directly into Pyth. No intermediaries, no added risk.

Confidence Matters

Markets are rarely absolute. Instead of publishing just a single number like “Bitcoin is $62,000,” Pyth also shares how confident that price is by attaching a confidence interval. In deep, liquid markets, that confidence band is very tight. In thinner or more volatile markets, the band widens, signaling more risk.

This small addition changes everything. DeFi apps can use it to size collateral more intelligently, build fairer liquidation systems, and protect themselves during turbulent conditions.

On-Demand Updates

Most oracle systems constantly push data, whether anyone needs it or not. That wastes resources and often means data goes stale by the time it’s used. Pyth flips the model. Its data is updated on demand: whenever a smart contract needs fresh information, it can request it instantly and pay a small fee. This way, every update happens in the exact moment it’s required—no earlier, no later.

Multi-Chain Reach

Although Pyth started on Solana, today its data is available across more than a hundred blockchains, including Ethereum, Arbitrum, Optimism, Base, Polygon, Avalanche, Aptos, Sui, and Cosmos-based chains. This cross-chain distribution ensures that no matter where developers are building, they can access the same high-quality data feeds.

The Expanding Product Suite

Pyth has grown far beyond its original price feeds. Today the network powers a full range of data services:

Price Feeds: Real-time values for crypto, equities, commodities, forex, and government bonds.

Benchmarks: Historical datasets that can be used for analysis and strategy testing.

Express Relay: A service that helps decentralized exchanges route orders more fairly, reducing the chance of exploitation by high-frequency bots.

Pyth Entropy: A verifiable random number generator for lotteries, gaming, and NFT drops.

Pyth Lazer: An innovation launched in 2025 that delivers prices at millisecond-level speed for advanced trading venues that need the fastest possible updates.

With this toolkit, Pyth isn’t just an oracle anymore. It’s becoming a full financial data layer for Web3.

Why Pyth Matters for DeFi

Reliable data is the lifeblood of decentralized finance. Without it, decentralized exchanges can’t settle trades correctly, derivatives protocols can’t price futures or options, and lending platforms can’t value collateral safely.

Bad data doesn’t just cause small errors—it can lead to entire protocols collapsing. By bringing high-quality first-party data directly on-chain, Pyth is helping DeFi scale with confidence.

Governance and the PYTH Token

The network is governed by the Pyth DAO, which uses the PYTH token. Token holders can propose and vote on key decisions such as which feeds to support, how fees should be structured, and how rewards are distributed to publishers.

In 2025, the DAO introduced Oracle Integrity Staking, a system where token holders can stake toward data publishers. If those publishers provide accurate, reliable information, they earn rewards. If they provide poor data, they can be penalized. This creates an economic incentive for truthfulness and accuracy at scale.

How Pyth Stands Against Chainlink

Both Pyth and Chainlink are leaders in the oracle space, but they take different paths.

Chainlink relies on independent node operators to pull data from APIs, while Pyth connects directly to exchanges and trading firms.

Chainlink pushes updates on a schedule, while Pyth delivers data on demand.

Chainlink provides only a median price, while Pyth offers a price and a confidence band.

Chainlink updates can take minutes, while Pyth can deliver updates in sub-seconds, or even milliseconds with Lazer.

Chainlink is a general-purpose oracle system, but for financial markets, Pyth is more specialized and optimized.

Looking Ahead

The future of Pyth is ambitious. The network is expanding into more asset classes, including real estate indices and carbon markets. Its publisher base is growing, adding more exchanges and trading firms to strengthen reliability. With services like Pyth Lazer, it’s also courting high-frequency and institutional traders who demand Wall Street-grade speed.

At the same time, governance and staking are becoming more robust, ensuring that incentives are aligned and that data integrity remains the top priority.

LFG

Pyth is doing for blockchain data what Bloomberg once did for traditional finance: making high-quality, real-time information accessible to everyone.

By cutting out middlemen, attaching confidence to every price, and pioneering an on-demand model, Pyth has become one of the most important pillars of the DeFi ecosystem. If decentralized finance is to compete with Wall Street, it will need data that’s just as fast, accurate, and trustworthy. That’s exactly the role Pyth is stepping into—building the financial data backbone of Web3.
@Pyth Network $PYTH #PythRoadmap

Bitcoin’s Untapped Potential

For over a decade, Bitcoin has been the bedrock of crypto — secure, scarce, and trusted as a store of value. But while Ethereum and other ecosystems have thrived with staking, lending, and yield farming, Bitcoin has mostly been left out of the action. Holding BTC has always meant one thing: waiting for its price to rise.

BounceBit is challenging that. Instead of letting Bitcoin sit idle, the project is turning BTC into a productive asset. Through a model that merges centralized finance with decentralized finance — what they call CeDeFi — BounceBit gives holders a way to restake their Bitcoin, earn layered yields, and participate in a much larger financial ecosystem.

CeDeFi: The Bridge Between Trust and Innovation

The core idea behind BounceBit is CeDeFi. It’s a system that blends the strengths of traditional custodians with the openness of decentralized protocols.

From the centralized side, Bitcoin deposits are held with regulated custodians like Mainnet Digital and Ceffu. This adds security, compliance, and peace of mind for large holders who don’t want to gamble with shady bridges.

From the decentralized side, BounceBit gives those same deposits a second life on-chain. Once mirrored into tokens like BBTC, they can be restaked, lent out, added to liquidity pools, or even used in structured yield products.

This means Bitcoin holders get the best of both worlds: institutional-level safety plus DeFi’s freedom and creativity.

How Restaking Works

The process is surprisingly simple for something so powerful:

1. Deposit your Bitcoin into a trusted custodian.

2. Receive a mirrored token (like BBTC) on the BounceBit network.

3. Restake it with validators. BounceBit uses a dual staking model, meaning validators must hold both BTC and the network’s own token, BB.

4. Put that staked Bitcoin to work in multiple ways — from earning staking rewards to tapping into CeFi yield products and DeFi strategies.

5. Redeem it later for your original BTC, whenever you want to exit.

Instead of earning yield from just one source, your Bitcoin is effectively working in several places at once.

Yield Beyond the Basics

Restaking is only part of the story. BounceBit’s yield engine draws from multiple layers:

Market-neutral trading — capturing spreads between futures and spot markets, or profiting from funding rates without taking risky price bets.

Real-world assets — thanks to partnerships like Franklin Templeton, BounceBit users can put capital into tokenized money market funds. Their BB Prime vault, for example, connects BTC liquidity to U.S. Treasury yields.

Structured products — users can choose auto, fixed, or manual yield strategies depending on how much risk they want to take. In some products, BB tokens act as a “safety net,” absorbing losses before BTC holders do.

The result is a yield system that doesn’t just depend on inflationary token rewards. It’s grounded in real trading strategies and real-world assets.

The Role of the BB Token

The native token, BB, is more than just another coin in the system. It acts as the glue that holds the ecosystem together.

It’s required for validators alongside BTC, so it directly contributes to network security.

It’s used for gas fees and governance.

It gives access to premium yield products and even plays a risk-absorbing role in some structured strategies.

Its supply is capped at 2.1 billion, and BounceBit runs a multi-year buyback program to steadily reduce circulation and create scarcity.

Ecosystem and Partnerships

BounceBit isn’t building in isolation. It’s creating a web of partnerships that connects both DeFi natives and traditional finance players.

With Franklin Templeton, BounceBit bridges Bitcoin into tokenized money market funds.

With Mainnet Digital and Ceffu, it secures BTC custody under regulated frameworks.

With Google Cloud, it leverages infrastructure for performance and scale.

Exchanges like Binance and Gate have also featured BounceBit, boosting visibility and liquidity.

The numbers speak for themselves: BounceBit’s yield products already manage more than half a billion dollars in value locked, according to data aggregators.

Why It Matters

BounceBit offers something Bitcoin has never truly had: a way to earn yield at scale without leaving the safety of custody. For BTC holders, it’s an invitation to finally step into the broader financial ecosystem without selling their coins. For institutions, it’s a model that combines compliance with opportunity.

It also reimagines the concept of restaking. Originally popularized on Ethereum, restaking now finds a new home in Bitcoin through BounceBit’s design — aligning BTC with validators, yields, and even real-world finance.

Risks to Consider

Ambitious projects always carry risk, and BounceBit is no exception.

The model depends on custodians, meaning trust in those institutions is essential.

Operating at the intersection of CeFi and DeFi could invite regulatory scrutiny.

The yield engine, while clever, still relies on markets behaving predictably. A sudden shock could compress returns.

Convincing conservative Bitcoin holders to embrace this model may be the toughest challenge of all.

BounceBit acknowledges these risks and attempts to mitigate them through transparency, regulated partners, and diversified strategies. But users should always understand what they’re stepping into.

The Bigger Picture

BounceBit isn’t just another wrapped Bitcoin project. It’s a bold experiment to make Bitcoin work harder without losing its essence. By combining CeFi’s safeguards with DeFi’s innovation, it creates a layered financial hub where BTC can finally move beyond being a static asset.

If it succeeds, Bitcoin could shift from being the digital equivalent of gold in a vault to something much more dynamic — a productive cornerstone of both crypto and traditional markets.

BounceBit’s message is clear: you don’t have to just hold Bitcoin anymore. You can put it to work.
@BounceBit $BB #BounceBitPrime

Why Oracles Matter

Blockchains are powerful because they run independently, without outside interference. But this independence also creates a problem: they don’t know what’s happening in the real world. A blockchain cannot tell you the price of Bitcoin, the value of the US dollar, or the latest stock market data on its own.

That’s where oracles come in. Oracles act like messengers, carrying information from the outside world into blockchain applications. Without them, DeFi protocols wouldn’t know how much collateral is worth, derivative markets couldn’t settle fairly, and stablecoins couldn’t hold their pegs.

The problem is that most oracles today rely on middlemen. They pull prices from APIs, aggregate them, and publish them on-chain. This creates delays, adds costs, and introduces trust in third parties. Pyth Network takes a different path.

A First-Party Oracle

Pyth’s vision is simple: cut out the middleman. Instead of relying on anonymous node operators to fetch data, Pyth invites the actual creators of financial data—exchanges, trading firms, and market makers—to publish directly to the network.

This makes Pyth a first-party oracle. It means the price you see on-chain isn’t a delayed average scraped from somewhere else—it’s coming directly from the institutions where price discovery actually happens.

How Pyth Works

Direct Publishing

Over a hundred leading institutions across crypto and traditional finance provide their own price data to Pyth. Each one doesn’t just send a number; they also include a confidence interval, which shows how certain or uncertain they are about that price.

Smart Aggregation

The network then combines these submissions. If a publisher is more confident, their data carries more weight. Outliers are removed, and the system outputs a single aggregated price with its own confidence level. This ensures resilience even during volatile markets.

Distribution Across Chains

Pyth first processes all of this on Pythnet, a high-speed Solana-based appchain. Then, using the Wormhole messaging protocol, those feeds are securely sent to more than 100 blockchains. Any application on those chains can pull a verified, signed update into its own smart contracts.

Pull, Not Push

Unlike most oracles that constantly push updates on-chain, Pyth uses a pull model. Applications fetch the freshest update only when they need it—for example, during a loan liquidation or a trade execution. This approach keeps costs lower and reduces network spam.

The Importance of Confidence Intervals

Most oracles give you just one number: the price. Pyth gives you the price and a confidence interval that reflects uncertainty. This is critical because markets aren’t always stable.

A lending platform can adjust borrowing limits if confidence widens.

A derivatives exchange can delay settlement until prices stabilize.

A liquidation system can avoid false triggers during extreme volatility.

This additional layer of information makes DeFi safer and more robust.

Beyond Price Feeds

Although price data is Pyth’s core product, the network has expanded into a full suite of tools for on-chain finance:

Benchmarks: Historical market data for research, analytics, and compliance.

Express Relay: A system designed to minimize MEV by routing transactions through competitive auctions, giving protocols fairer trade execution.

Entropy: A source of randomness for games, NFTs, and other applications, handling millions of requests per quarter.

Lazer: An ultra-fast, customizable data service for institutions and exchanges that need the lowest possible latency.

Together, these products turn Pyth into more than an oracle—it’s becoming a full-scale financial data infrastructure for Web3.

Growth and Adoption

Since its launch, Pyth has grown at an astonishing pace:

More than 120 data publishers now contribute live market data.

Over 100 blockchains consume Pyth feeds, including Solana, Ethereum, Aptos, Sui, and BNB Chain.

Hundreds of DeFi protocols use Pyth for trading, lending, and derivatives.

The network has secured billions in value and processed hundreds of millions of updates.

In just a few years, Pyth has gone from a new entrant to one of the most trusted oracle solutions in the world.

Token, Governance, and Staking

The Pyth token plays a central role in aligning incentives and securing the network.

Holders can vote on governance proposals that shape the future of the protocol.

With Oracle Integrity Staking, participants stake tokens behind specific data publishers. This system rewards accurate reporting and penalizes poor performance, creating strong economic incentives for quality.

The token also supports ecosystem growth through grants and funding initiatives.

This combination of governance and staking helps ensure that Pyth continues to grow while keeping publishers accountable.

How It Stands Out

Compared to other oracles, Pyth’s edge lies in its focus and design.

Chainlink relies on third-party node operators pulling from APIs.

Band Protocol aims to be general-purpose but isn’t specialized in finance.

API3 also promotes first-party data, but without Pyth’s scale and institutional backing.

By centering on finance, offering sub-second updates, and providing confidence intervals, Pyth has carved out a unique position in the market.

Challenges Ahead

Pyth is not without hurdles. Some protocols still prefer long-established oracles like Chainlink. Traditional financial firms may be cautious about openly publishing proprietary data. And while Pyth has a strong set of publishers, it remains permissioned rather than fully open.

These challenges are real, but Pyth is actively addressing them through expanded governance, broader onboarding, and continuous decentralization.

Looking Forward

The oracle problem has long been a bottleneck for DeFi. Without reliable, real-time market data, decentralized finance cannot function properly. Pyth’s first-party approach, combined with its suite of products and strong institutional support, positions it as one of the most promising solutions to this problem.

As more traditional financial players enter Web3, the need for accurate, transparent, and secure data feeds will only grow. Pyth is aiming to be the backbone of that infrastructure.

Conclusion

Pyth Network is more than just another oracle. It is a reimagining of how market data should flow into blockchain systems. By removing intermediaries, adding transparency through confidence intervals, and expanding into services beyond price feeds, Pyth has become a vital part of the decentralized financial ecosystem.

Its rapid adoption, strong institutional partnerships, and focus on integrity make it one of the clearest examples of how Web3 can integrate with real-world finance. In many ways, Pyth is not just delivering data—it is laying the foundation for the future of on-chain markets.
@Pyth Network $PYTH #PythRoadmap