ALICE AUSTEN

WalletConnect began life as the convenient QR-code bridge that lets people sign into dApps without exposing private keys. Over the past two years, it has quietly been reinventing itself from a connectivity protocol into a full-blown on-chain network with a native token, staking, and the tools to make wallet-to-app UX as seamless as Web2. That transformation matters: it changes WalletConnect from an infrastructure provider into a decentralized coordination layer that can subsidize relayers, fund integrations, and let users have a real stake in decisions.

$WCT : why a token changes the game

The WalletConnect Token (WCT) is more than marketing it’s the economic lever that supports staking, governance, and incentives for relayers and integrators. By putting a token at the center, WalletConnect can align incentives across wallets, node operators, and dApp builders: stakers help secure the network and receive rewards, and token holders gain voting power over upgrades and the grants program. This model is designed to bootstrap reliability (relayers with skin in the game) while accelerating integrations via grant funding and partnerships.

WalletConnect has already run multiple airdrop seasons and partnered with exchanges and projects to increase WCT distribution and on-chain activity. Those distributions are intended to seed civic participation encouraging users to stake and take part in governance rather than passively use the protocol.

Governance: from roadmap promise to practical mechanics

The roadmap set governance as a priority for 2025: WalletConnect signaled an on-chain governance rollout that would let WCT holders vote on protocol parameters, fee structures, and grants. In practice, on-chain voting changes how upgrades are proposed and approved a move from centrally driven product decisions to community-ratified changes. If executed well, this increases transparency and helps the protocol adapt to emerging use cases quickly.

That said, governance design choices matter: quorums, token distribution (how much of WCT lives with builders vs. users), and delegate models will determine whether governance becomes broadly decentralized or remains dominated by large stakeholders. The community conversation around these parameters is ongoing and a vital early signal to watch.

Staking, relayers, and the incentive stack

A decentralized WalletConnect network needs reliable relayers nodes that ferry messages and sessions between wallets and dApps. WalletConnect’s approach ties staking and rewards to relayer uptime and quality-of-service, which should reduce single-point failures and make the UX more resilient at scale. This is a pragmatic approach: instead of trying to centralize uptime, economic incentives nudge operators to run well-provisioned nodes.

Grants and a growing partner ecosystem (see partnerships below) provide another economic layer: builders can apply for funds to ship integrations, while token-based rewards can encourage long-tail projects (niche wallets, regional dApps) to adopt the protocol.

Risks & what to monitor

The transition to tokenized governance and staking adds complexity and new risks: token concentration, rushed listings, or poorly designed fee models can create misaligned incentives. Watch the emerging parameters closely how much WCT is reserved for the foundation, how voting power is distributed, and what anti-sybil protections are put in place for governance. Transparency on these metrics will strongly influence whether WalletConnect’s decentralization is meaningful in practice.

Bottom line

WalletConnect’s shift toward a tokenized, governance-driven network is ambitious and strategically sensible: it creates a way to fund operations, reward relayers, and give users a voice. The transition’s success will hinge on careful governance design, fair token distribution, and whether the network delivers the uptime and UX consistency that mainstream apps expect. If WalletConnect pulls it off, it won’t just be a connector it will be the settlement layer that underpins an enti
re on-chain user experience.@WalletConnect #WalletConnect $WCT

Introduction
Web3 has evolved far beyond simple token transfers modern dApps demand heavy computation, AI, oracles, privacy, cross-chain logic.

But blockchains remain constrained: every node must re-execute logic, expensive gas costs, limited throughput.

Boundless, built by RISC Zero, proposes a paradigm shift: decoupling compute from consensus via verifiable compute, enabling chains (or apps) to outsource heavy tasks while still guaranteeing correctness via zero-knowledge proofs.

In this article, we dive deep into Boundless’s architecture, recent progress (beta, testnets, partnerships), incentive design, use cases, challenges, and its potential to become foundational infrastructure in Web3.

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1. The Motivation: Why Verifiable Compute Matters

Traditional blockchains require full re-execution of every transaction or smart contract, which scales poorly.

Many tasks (ML inference, batch computation, privacy functions, complex logic) are too heavy or costly to run on-chain.

Off-chain compute + on-chain validation is a long-sought solution — but trust in off-chain logic is a problem.

Zero-Knowledge proofs offer a way: one party computes a result, generates a proof that the result is correct, and the chain verifies just the proof.

Boundless aims to make verifiable compute a universal, composable, chain-agnostic resource.

2. What Is Boundless? Core Architecture & Components

2.1 Protocol Vision & Positioning

Boundless is described as a “protocol for accessing verifiable compute on any chain, rewarding nodes for contributing useful work.”

It is intended to be chain-agnostic: any L1, L2, rollup—or even app-specific chains—can integrate Boundless proof services.

Rather than building a new blockchain, Boundless largely implements its proof marketplace via smart contracts on existing chains.

2.2 zkVM & Proof System Support

The protocol currently ships with the RISC Zero zkVM (a zero-knowledge virtual machine) to execute and prove computations.

However, it is proof-system agnostic: support for other zkVMs (e.g. Succinct’s SP1, ZKSync’s Boojum, Jolt) is on the roadmap, allowing developers to switch tooling.

Developers can write logic in Rust and run it through Boundless’s system of zkOS, Bonsai, etc. as tooling abstractions.

2.3 Marketplace of Requests & Provers (Proof Jobs)

Boundless operates like a marketplace: requestors (apps needing proofs) submit proof jobs with bids; provers (nodes) pick up jobs, compute, and return proofs.

The request includes computation specs; provers estimate cost, accept or reject based on bid economics.

Boundless introduces a new economic mechanism, Proof of Verifiable Work (PoVW), as the economic backbone to reward provers proportionally to GPU cycles and effort.

2.4 Integration & Deployment Modes

Boundless offers flexible integration into rollups: an existing rollup (e.g. OP Stack) can adopt OP Kailua, a hybrid or validity-proof mode, to gain ZK finality.

Boundless supports both hybrid and validity modes, letting chains choose how proof logic is built in.

The proof marketplace is embedded via smart contracts on host chains, reducing the need to manage a separate chain infrastructure.

2.5 Governance, Token & Incentives

Boundless’s manifest and communications emphasize community ownership by design. On July 17, 2025, it rolled out a community sale tied to the Mainnet Beta.

Quests (Bronze, Silver, Gold, Diamond tiers) are used to reward early participation and whitelist for token sale / airdrop.

Nodes (provers) earn from marketplace fees and token rewards aligned via PoVW.

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3. Latest Milestones & Ecosystem Traction (2024–2025)

3.1 Incentivized Testnet / Mainnet Beta Launch

In July 2025, Boundless launched an incentivized testnet (Mainnet Beta) on Base (a layer-2).

This testnet allowed developers to test proof requests, submit workloads, and interacting with the proof marketplace.

The launch is being promoted as the first real stress test of production-grade zero-knowledge infrastructure.

3.2 Partner / Protocol Adoption

Early support is coming from Ethereum Foundation, Wormhole, and EigenLayer, signaling institutional confidence.

Projects like Hibachi are already building “provable exchanges” using Boundless — DEXs whose reserve proofs or trade matching logic can be verified via ZK proofs.

A partnership with Union was announced to enable proof-based cross-chain interactions without bridges (i.e. proof messaging rather than token wrapping).

3.3 Token & Community Activities
Boundless has raised ~$52 million in funding from major backers (e.g. Galaxy, Delphi, Blockchain Capital) to support its development.

They have launched quests and whitelist mechanics tied to the airdrop / token sale.

On-chain tasks (proof jobs, miner onboarding) and role claim campaigns (Berry NFT, “Berry Harvester” roles) are part of community engagement.

The Boundless blog highlights architecture posts: PoVW, zk mining models, upgrading OP rollups, “Steel on Boundless” (gasless Solidity), etc.

3.4 Market & Ecosystem Impact

The market for ZK proof generation is projected to jump from ~$75 million in 2024 to ~$10 billion by 2030.

Boundless is being recognized as a leader among new ZK infrastructure protocols, showing strong momentum on social metrics (followers, awareness) in recent weeks.

KuCoin listed “Boundless Network (BUN)” for spot trading, with marketing incentives (campaign, giveaways).
4. Use Cases & Applications Enabled by Boundless

Boundless’s design unlocks new classes of applications that were previously impractical or impossible:

4.1 Provable DEXs & Financial Infrastructure

DEXs can run matching, order book logic, or reserve proofs off-chain and verify correctness on-chain. Hibachi is already building a provable exchange.

Lending / collateral protocols could use proofs to validate off-chain risk models or data feeds.

On-chain reserve proofs (e.g. verifying assets backing stablecoins) become feasible via Boundless.

4.2 Rollup Upgrades / Hybrid Chains

Existing rollups (e.g. OP Stack) can integrate Boundless to gain ZK-based finality or validity layers (OP Kailua).

Application chains or side-chains can rely on Boundless for proof validation rather than building full on-chain logic.

4.3 Cross-chain Proof Messaging

Using proof-based interaction (rather than bridges) via Union + Boundless integration to push messages between chains securely.

Enables decentralized interoperability while avoiding wrapped assets or bridge vulnerabilities.

4.4 AI / Data / Computation Workloads

Heavy computation (e.g. AI inference, off-chain models) can be computed off-chain and returned via proofs to the chain, guaranteeing correctness.

Enables hybrid on-chain / off-chain systems where the chain doesn’t have to re-execute everything.
4.5 Developer Tooling & Abstractions

Developers can write compute logic in Rust, use zkOS or Bonsai (cloud proving) to offload complexity.

“Steel on Boundless” enables Solidity logic beyond gas limits, letting developers run expansive logic without gas constraints.
5. Challenges, Risks & Open Questions

Security of proof marketplace: malicious provers or incorrect proofs must be caught; slashing or misbehavior must be well-handled.

Latency & throughput trade-offs: proof generation and verification must be fast enough to support real-time apps.

Economic alignment in PoVW: ensuring provers are properly rewarded, not over- or under-incentivized, and bids align with resource cost.

Adoption friction: integrating Boundless into existing chains or dApps may require architectural change or incentives.

Tokenomics & unlock pressure: as the token (ZKC?) is distributed, handling supply-demand balance is critical.

Competition & alternative ZK stacks: other ZK infrastructure (e.g. zkSync, StarkWare, Polygon ZK, etc.) will compete in this domain.

Governance & decentralization: ensuring the protocol remains community-driven, avoids centralization, and handles upgrades democratically.
6. What to Watch & Metrics
Testnet / Mainnet Beta participation: number of proof jobs, total computational throughput, decentralized prover count

Adoption by dApps / rollups: how many apps integrate Boundless proof logic

Token & incentive metrics: rewards distributed, stake, active provers

Latency & performance benchmarks: proof generation time, verification time, throughput

Security audits / failure cases

Governance activity: proposals, votes, community engagement
Partnerships & integrations: more protocols (bridges, chains, DeFi) adopting proof logic
Conclusion
Boundless is a bold, ambitious infrastructure play aiming not to be just another blockchain, but to become the universal verifiable compute layer underpinning all chains and apps. Its approach marketplace of proof jobs, PoVW incentives, chain-agnostic integration, and proof abstractions could unlock a new era of scalable, expressive, and trust-minimized applications
The recent testnet launch, protocol backing, partnerships, and community engagement show momentum. But execution is key: security, performance, economic alignment, developer tooling, and adoption will determine whether Boundless becomes a foundational pillar of Web3 or remains a niche infrastructure experiment@Boundless #boundless $ZKC

Introduction
The next frontier in Web3 is increasingly seen as agentic systems autonomous digital beings that act on behalf of users across multiple domains (chat, video, social, gaming).
Holoworld AI (HOLO) is positioning itself as a Web3-native “agentic app store”: a platform where creators can build, deploy, trade, and monetize AI agents and digital IP, with blockchain-verified ownership.

This article dives into Holoworld’s architecture, recent milestones (airdrops, listings, partnerships), product roadmap, challenges, and what its success could mean for AI + Web3 integration
1. What Is Holoworld AI?
1.1 Vision & Value Proposition
Holoworld aims to democratize AI agent creation, making it accessible to nontechnical creators. You don’t need to code to build intelligent agents.

Agents are “digital beings” that can interact with text, voice, avatars, access live data, and perform tasks.

These agents and their associated IP (appearance, behavior, knowledge) are tokenized and verifiable on-chain (e.g. on Solana).

Holoworld combines social, marketplace, and creative tools: think AI agents + app store + content engine.

1.2 Core Components & Architecture
No-code Agent Creation / Agent Market: A user interface where creators can assemble or customize agents, then deploy them to the marketplace.

Ava Studio: Tool for generating AI-powered video/avatar output turning prompts, images, or scripts into visual content.

OpenMCP / Plugin Ecosystem: Agents can tap into plugins (data, APIs, real-time data) to make interactions dynamic and context-aware.

Blockchain Layer / Tokenization: Agents, IP, interactions, and transactions are recorded on-chain (Solana is mentioned) for ownership, traceability, and composability.

Credit / Utility System: The platform uses a credit or token-based mechanism (e.g. “Holo Credits”) to power inference, compute, or agent activity. Users may burn token equivalents to access services.

1.3 Token / Economic Layer

HOLO is the native token. It is used for staking, governance, paying for agent operations / infrastructure, and other ecosystem functions.

Token distribution: In the Genesis phase, a massive airdrop (~30.72 million HOLO) was allocated to BNB holders via Binance HODLer program.

Circulating vs locked supply: Only a fraction is unlocked initially. Many tokens remain locked until 2026 (which presents potential dilution / unlock risk).

2. Recent Milestones & Updates (2025)

2.1 Airdrops & Token Launch

The Genesis airdrop launched on September 11, 2025, with claims open for ~60 days.

The airdrop rewarded early users, AVA stakers, community contributors.

Binance supported the airdrop via HODLer program and included HOLO in its Simple Earn, Buy & Convert, etc.

2.2 Exchange Listings

HOLO was listed on KuCoin (HOLO/USDT) in September 2025.

HTX (previously Huobi’s exchange) also listed HOLOWORLD / HOLO on September 11 with spot and margin trading pairs.

Multiple exchanges now support trading of HOLO, improving liquidity & access.

2.3 Ecosystem & Partnerships

Holoworld has partnerships and integrations with NFT & brand projects to embed AI agents into existing communities.

The whitepapers or project documentation mention collaborations with Web2 / Web3 brands.

2.4 Metrics / Usage & Adoption
Holoworld claims in its docs that thousands of agents have already been launched, and many users are exploring agent features.

The project has already built product momentum with Ava Studio, agent interactions, plugin features.
3. Challenges, Risks & Critical Points

3.1 Token Unlock & Dilution Risk

A large portion of supply remains locked until 2026. Once unlocked, holders or early participants might sell, putting downward pressure on price.

Maintaining demand and utility is essential to absorb new token supply.
3.2 Adoption & Retention

Creating AI agents is exciting, but the challenge is retaining users and creators ensuring revenue flows and usage are sustainable.

Competition from centralized AI + Web3 hybrids or large AI incumbents could stifle adoption.
3.3 Technical Complexity & Infrastructure Costs
AI model inference, avatar generation, voice interactions these are heavy workloads. Running them in a decentralized or hybrid architecture with responsiveness is nontrivial.

Plugin reliability, data API integration, real-time interactions, latency, cost all must be optimized.

3.4 Attribution, IP & Ownership Disputes

Ensuring that creators receive appropriate rewards, attribution, and rights over agent IP and handling disputes is tricky.

Legal / regulatory risk: data privacy, copyright, AI-generated content ownership.

3.5 Market Sentiment & Hype Decay

As with many AI / Web3 projects, early hype can fade. If usage metrics don’t keep pace, value may decay.

The token must serve a functional purpose, not just speculation, to maintain long-term strength.
4. Outlook & What’s Next
Developer Tools / SDK: Holoworld is expected to release SDKs to let more developers build AI agents and integrate them into other apps / platforms.
OpenMCP Deployment & Protocol Standardization: The modular compute / plugin protocol will be a backbone for cross-agent interoperability.
New Airdrops / Incentives: The project may schedule additional HODLer airdrops or reward phases to attract new users.
Partnerships / Integrations: More tie-ins with gaming, social platforms, NFT communities, brands, and Web2 services.
Governance / Token Utility Expansion: Adding more utility for HOLO (staking rewards, governance, fees) to anchor demand.
Scaling & Performance Upgrades: Improving responsiveness, scaling agent capacity, lowering inference cost.
5. Implications & Broader Context
Holoworld sits at the junction of AI + Web3 + Creator Economy bringing together the trends of agentic systems, tokenized IP, and decentralized infrastructure.
If successful, agents can become new classes of digital assets (like NFTs but dynamic) that can be traded, deployed, composed, extended.
It may influence how communities design branded agents, content, and interaction models. turning static NFTs into interactive agents.
It challenges the dominance of centralized AI platforms by offering ownership and monetization for creators directly.
Conclusion
Holoworld AI is an ambitious and well-timed project attempting to build the agentic app store for Web3. Its blend of no-code tools, tokenized AI agents, credit systems, and marketplace infrastructure gives it strong differentiators. The recent airdrop, exchange listings, and growing adoption show momentum, but many challenges lie ahead especially in adoption, infrastructure, token economics, and sustaining utility. If Holoworld can deliver on performance, developer tools, and real usage rather than just hype, it could help usher in a new paradigm of AI + Web3.@Holoworld AI #HoloworldAI $HOLO

Introduction
The intersection of AI + blockchain is increasingly viewed as one of the the next frontiers in Web3: decentralized data, transparent attribution, and tokenized AI models.
OpenLedger is positioning itself as a purpose-built “AI Blockchain” infrastructure where data, models, and agents are monetized, tracked, and composable.

In this deep dive, we’ll explore OpenLedger’s architecture, its recent developments (2024–2025), tokenomics, partnerships, challenges, and future trajectory.

1. What is OpenLedger?
1.1 Core Mission and Problem Statement
In today’s AI ecosystems, data contributors and model trainers are often under-compensated, and attribution is opaque.

OpenLedger seeks to flip that model: making data, compute, model development, and AI services first-class, verifiable, and monetizable on-chain.

It introduces “Proof of Attribution” to cryptographically link AI outputs to their training inputs, enabling transparent reward distribution.

It delivers an AI-native blockchain that combines infrastructure for dataset creation (called Datanets), model training & deployment, and AI agents — all with on-chain recording of contributions.

1.2 Technical Stack & Architecture

The platform is EVM-compatible, enabling smart contracts and tooling familiar to Web3 developers.

It uses Optimism’s OP Stack (i.e. leveraging rollup / modular framework) for scalability.

For data availability / transaction storage, it integrates EigenDA (a data availability solution) to reduce on-chain storage cost.

The architecture supports Datanets (decentralized datasets), agent systems (autonomous AI agents), and transparent attribution & reward mechanics.
1.3 Ecosystem Components

OpenCircle: A launchpad / ecosystem fund (with $25 million committed) to support AI / Web3 developer projects.

Datanets: Open, community-driven datasets where contributors upload data, validate, and receive attribution.

Model marketplace / inference infrastructure: Developers can train, deploy, and monetize AI models using OpenLedger’s infrastructure, with usage fees flowing back to data/model contributors.

Agent systems / AI-native interfaces: AI agents (autonomous actors) can interact with DeFi protocols, wallets, or dApps, powered by OpenLedger’s attribution logic.

2. Recent Milestones & Updates (2024–2025)

2.1 Fundraising & Ecosystem Support

OpenLedger committed $25 million to support AI + Web3 developers via OpenCircle.

The $25M fund is part of the platform’s strategy to counter the “extractive” AI economy by enabling contributors to capture value.

**2.2 Mainnet Launch & Token

OpenLedger’s mainnet and native token OPEN officially launched in September 2025.

Binance listed OPEN (via HODLer Airdrops) and opened spot trading.
Binance distributed 10 million OPEN tokens as part of the HODLer Airdrops event.
2.3 Partnerships & Wallet Integration
OpenLedger × Trust Wallet partnership to build AI-powered wallets (AI-native UI, conversational commands, agents) was announced mid-2025.
The joint AI wallet aims to convert user intent (natural language) into on-chain actions, enable cross-chain routing, detect fraud, and enhance UX while preserving user control.
They launched an AI-powered on-chain UI / interface to reduce complexity and make the wallet conversational.

2.4 Ecosystem & Use-Case Promoting Content
OpenLedger published a blog listing “10 Billion-Dollar Apps You Can Build On OpenLedger”, showing high-level use cases (audit agents, knowledge engines, etc.).
The blog emphasizes how Datanets + model attribution + real-time inference can power new kinds of AI businesses.
2.5 Thought Leadership & Narrative
Ram Kumar (OpenLedger) gave interviews stating that AI may transform Web3 into a “knowledge coordination layer,” where data & models are first-class on-chain assets.
3. Tokenomics & Mechanics

3.1 Token Usage & Roles

OPEN is the native utility token: used for paying gas / transaction fees on the OpenLedger network (for dataset uploads, training operations, inference, model usage).

It also is used in governance, staking, and possibly revenue-sharing / reward allocation among contributors. (Implied via usage and attribution logic)

3.2 Supply, Distribution & Unlocks

Total supply: 1 billion OPEN tokens.

Circulating supply at launch: ~215.5 million OPEN (~21.55%).

Initial distribution included the Binance HODLer Airdrop (10 million OPEN).

Tokens are unlocked over time (vesting schedules for team, investors, ecosystem) although precise unlock schedules are detailed in official docs (not fully covered in source summaries)
3.3 Incentives & Attribution Rewards

One of OpenLedger’s differentiators is rewarding contributors (data, models, compute). The attribution engine ties each AI output / inference back to data & model contributions, so rewards can be allocated fairly.

This incentivizes high-quality data collection, model improvement, and community participation.
4. Use Cases & Potential Applications

OpenLedger’s design enables building many interesting AI + Web3 applications. Some highlighted use cases include:

4.1 Knowledge Engines / On-chain Research & Aggregation

Building “Onchain Kaito”-style knowledge agents: ingest data from forums, blogs, social media, governance platforms, and produce research, answers, or summaries with full attribution.

4.2 Autonomous Audit Agents & Security Models
Decentralized audit / security agents: models trained on vulnerability databases, past exploits, code analysis, and continuously evaluating deployed smart contracts. Rewards flow to contributors who provided data, heuristics, or model training.
4.3 AI Agents in Wallets / DeFi Automation
Agents embedded in wallets (via Trust Wallet collaboration) that can execute user commands, route transactions, manage assets, or perform cross-chain logic.
4.4 Monetizable Data & Model Marketplace
Datasets (Datanets) can be licensed or used by AI models, with revenue flowing to data owners.
AI models themselves become tradeable / rentable assets: inference-as-a-service, with micro-payments.
AI agents can be built and deployed for verticals: finance, healthcare, logistics, etc.
4.5 Cross-chain & Interoperability Use Cases
Because OpenLedger is EVM-compatible and uses scalable rollup architecture, AI models and agents can interoperate or move between chains.
The AI wallet UI (OpenLedger + Trust Wallet) is anticipated to support cross-chain actions via agent routing.
5. Challenges & Risks

5.1 Technical & Scalability Challenges

AI workloads are resource-intensive: efficient GPU usage, layer orchestration, latency, data throughput achieving these on a blockchain infrastructure is nontrivial.

Ensuring attribution logic (mapping outputs back to inputs) is accurate, robust, and tamper-proof any loopholes or gaming may erode trust.
5.2 Adoption & Network Effects
The platform’s success depends on broad participation: data providers, model developers, users, and agent users. If the network remains too small, utility may lag.
Convincing traditional AI players or enterprises to adopt a decentralized model is challenging.

5.3 Competition & Alternative
Competing architectures or layer-agnostic AI infrastructure (e.g. off-chain AI + proof systems) could challenge OpenLedger’s thesis.
Centralized AI providers (OpenAI, Google) may push back or try to replicate attribution systems in their domain.
5.4 Regulatory & Intellectual Property Issues
Data contribution and attribution may run into data privacy / copyright / licensing constraints.
Token utility or AI-as-a-service revenue models may attract scrutiny in some jurisdictions.
Ensuring compliance, especially when AI is used in regulated domains (healthcare, finance), might require off-chain coordination.
5.5 Tokenomics & Unlock Pressure
Liquidity / token release schedules could create downward price pressure if usage doesn’t match unlock flow.
If rewards are too generous initially, inflationary pressure could undermine token value
6. Outlook & What to Watch
Growth metrics: Number of Datanets, datasets submitted, models trained, inference volume, active users.
Wallet integration adoption: How quickly Trust Wallet users adopt the AI features; how many agents / conversational commands are used.
Developer adoption via OpenCircle: Which projects get incubated, applications built, traction gained.
Token performance & liquidity: How OPEN trades, how it holds up against unlock schedules.
Governance & decentralization evolution: How decisions around data inclusion, model allocation, upgrades are managed by community / DAO.
Cross-chain expansion: Support for multiple chains, agent routing, interoperability.
Security & audit outcomes: Any exploits, vulnerabilities in AI attribution, model inference, or wallet AI logic.
Conclusion
OpenLedger is carving out an ambitious niche at the confluence of AI, data, and decentralized infrastructure. By embedding attribution, incentivizing community contributions, and enabling AI agents/deployment as first-class citizens, it aims to shift power from closed AI systems to community-owned AI ecosystems. Its recent milestones (mainnet launch, token listing, Trust Wallet partnership, funding) show momentum. But success will depend heavily on executing technical complexity, attracting participants, proving attribution at scale, and managing token economics wisely@OpenLedger #OpenLedger $OPEN

@Mitosis Official #Mitosis $MITO
Introduction
In 2025, projects are competing not just for users, but for becoming infrastructure.
Mitosis is on a trajectory to move from concept to backbone from liquidity experiment to foundational protocol.
This article maps that trajectory: the early experiments, the architecture, the evolving governance, and the challenges of scaling into infrastructure.
1. The Origins & Philosophical Foundations
Mitosis emerged to address inefficiencies in how liquidity is managed across chains.
Its founding idea: liquidity should not be siloed it should flow automatically, intelligently, and contextually.
It draws on modular blockchain theory, cross-chain messaging, and the rising restaking paradigm.

2. Architectural Blueprint of Mitosis
2.1 EOL and Vault Layer
Ecosystem-Owned Liquidity (EOL) is central: the protocol itself acts as a liquidity allocator.

Vaults accept deposits, issue tokenized versions (miAssets), and coordinate deployment.
Matrix Vault products (and “Matrix” as a branded component) help structure yields and rewards.
2.2 Cross-Chain Messaging & AVS Security
Mitosis uses AVS in EigenLayer or related systems for secure cross-chain message validation rather than trusting naive bridges.
This integration strengthens security and helps reduce slippage or message fraud.
2.3 Tokenomics & Governance
The native token, MITO, serves as governance, staking, and network utility.
miAssets / tokenized liquidity have use cases beyond static holding they can drive yield, voting, composability.
DAO structure: The Morse DAO and community governance initiatives are being created to manage protocol decisions.
2.4 Modular & Interoperable Design
The use of modular design (inspired by Cosmos / hybrid architectures) allows Mitosis to adapt, upgrade, and integrate with other chains.
The EVM compatibility enables developers to port existing Ethereum contracts with minimal friction.
3. Key Experiments That Shape the Paradigm
Expedition Epochs / Airdrop Campaigns: Incentivized phases to drive user participation and liquidity accumulation.
Matrix Theo Campaign: A specialized campaign inside the ecosystem to reward early contributors.
Testnet XP / point systems: Onboarding users to the protocol via gamified tasks and metrics.
Booster Program (Binance + MITO): Larger exchange-level campaign to increase awareness and initial liquidity.
These experiments help test capital deployment logic, community incentives, security assumptions, and user behavior.
4. Positioning Amidst Web3 Megatrends
4.1 Convergence with the Restaking Revolution
Mitosis doesn’t just piggyback on restaking security (EigenLayer) it may evolve to contribute services itself.
4.2 Addressing Modular / Multichain Fracture

As L2s and appchains multiply, Mitosis’s liquidity fabric becomes more crucial.
4.3 Capturing the New Asset Types (LRTs / Liquid Staking Tokens)

Mitosis is well-positioned to become the liquidity router for LRTs and new token classes.
4.4 From Protocol to Infrastructure
The transition requires reliability, security, adoption, and trust.
The early experiments act as stress tests how the protocol handles real funds, cross-chain flows, failures, and attacks will determine whether it scales to infrastructure status.
5. Recent Progress & Indicators of Maturation
Community governance activation (Morse DAO, community framework evolution)
Public recognition & modular infrastructure reports Mitosis is being cited in modular blockchain and cross-chain architecture analyses.
Booster & liquidity campaigns with exchanges (e.g. Binance) show confidence from larger platforms.
TVL traction: early vaults have drawn liquidity, indicating real user engagement.
Cross-chain deployment experiments: seeing how Mitosis allocates liquidity across networks in early tests.
6. Risks & Tipping Points
Security failures or exploits in cross-chain logic could be catastrophic.
Insufficient liquidity or participation may lead to poor UX or imbalance in allocations.
Governance misalignment disagreements over allocations or yield strategies could fracture community.
Regulatory scrutiny of token issuance, liquidity provisioning, or cross-chain transfers.
Competition: rival protocols may try alternative architectures or models.
Tech complexity: abstracting the logic so average users can use it easily is a design challenge.
7. What Must Mitosis Prove to Become Infrastructur
1. Stability & Security under Load handling large cross-chain volumes seamlessly and safely.
2. Sustainable Incentive Structure ensuring early yields don’t collapse once incentives wane.
3. User Delight & Experience intuitive UI, low friction, transparent reporting.
4. Governance & Decentralization avoiding centralization, distributing decision power fairly.
5. Ecosystem Integration multiple dApps, chains, protocols embracing miAssets and Mitosis as a base layer.
6. Monitoring and Fail-Safes real-time risk metrics, emergency mechanisms.
8. Speculative Paths & Scenarios
Mitosis might spin off liquidity attestation AVS, becoming a service provider in the restaking ecosystem.
It could collaborate with or integrate DeFi aggregators, wallets, or cross-chain routers to embed liquidity logic deeper.
In the long term, Mitosis Chain (fully operational L1) could host its own native applications, not just liquidity layering.
It might expand into advanced financial products: leveraged liquidity, derivatives on miAssets, synthetic exposure, etc.
Conclusion
Mitosis is undergoing a metamorphosis: from an experimental liquidity protocol to a candidate infrastructure for the next wave of Web3. Its experiments vaults, tokenization, cross-chain security are stress-testing the core assumptions. The path to becoming infrastructure is steep: it requires trust, security, deep adoption, and composability. But if it succeeds, future chains and DeFi apps might rely on Mitosis just as they rely on blockchains today as the plumbing that makes them function fluidly.

Introduction
In today’s Web3 landscape, a paradox persists: there is abundant capital, yet liquidity is fragmented.
Layer-2s, rollups, appchains, and modular blockchains proliferate but assets, yield, and activity remain siloed.
Mitosis aims to become the liquidity fabric that weaves across chains, enabling programmable, dynamic, and composable liquidity.
In this article, I unpack Mitosis’s architecture, its recent developments, challenges, and what its success might mean for DeFi’s future.
1. The Problem: Liquidity Fragmentation & Capital Inefficiency
Every blockchain or rollup tends to develop its own ecosystems but liquidity doesn’t flow effortlessly between them.
Many DeFi users and protocols suffer from capital fragmentation: assets stuck in low-yield chains even while high rewards exist elsewhere.
Bridges or cross-chain messaging help move assets, but often require manual effort or incur risk.
Traditional liquidity mining and AMM models are rigid liquidity is locked, not dynamic, and can’t easily be reallocated.
The next stage of DeFi requires protocols that let liquidity itself be active, composable, and yield-aware.
2. What Is Mitosis?
2.1 Core Concept & Vision
Mitosis positions itself as a programmable liquidity network, making liquidity first-class and networked.
Its guiding philosophy: supply liquidity once, and let the system deploy it optimally across multiple chains.
It envisions liquidity positions that can be tokenized, reused, rebalanced not static.
2.2 Key Architectural Elements
Ecosystem-Owned Liquidity (EOL) model: liquidity is managed and deployed by the protocol itself (rather than entirely by external LPs).
miAssets (or maAssets): when a user deposits an asset into Mitosis’s vault, they receive a tokenized version (e.g. meETH) 1:1 with their deposit.
Vaults / Matrix: internal structures (Matrix is a named product) through which liquidity is deployed, yielding rewards and enabling rebalancing.
Cross-chain orchestration & messaging via security layers: Mitosis leverages AVS (Actively Validated Services) in EigenLayer or similar systems to secure cross-chain operations.
Modular design / EVM & Cosmos interoperability: Mitosis is EVM-compatible but also uses Cosmos-style modularity to allow upgrading, integration, and flexibility.
2.3 Differentiation & Value Propositions
Liquidity becomes active and automated rather than passive and manual.
Users gain capital efficiency their assets are never “sleeping” in low-yield zones when better yield exists elsewhere.
Protocol-level liquidity (EOL) reduces dependency on mercenary LPs for bootstrapping.
Tokenized liquidity positions (miAssets) are composable usable in other DeFi protocols.
Integration with restaking / security systems (e.g. EigenLayer) gives cross-chain operations stronger guarantees.
3. Recent Developments & Milestones (2024–2025)
3.1 Testnet & Incentivization Campaigns
Mitosis has run an incentivized testnet, allowing participants to earn XP / points toward future MITO allocations.
It launched “Expedition Epochs” phases of campaigns to grow liquidity and reward early participants.
It announced a multi-phase airdrop registration in August 2025, with claims available by September.
3.2 Token Listing & Booster Programs
The MITO token listing was slated for April 2025 with pairs like MITO/USDT.
Binance launched a $1M MITO Booster campaign, distributing 5 million MITO among participants completing quests, with lock-up schedules.
3.3 Ecosystem & Partnerships
Mitosis is integrating with the EigenLayer restaking ecosystem, exploring deeper synergy (not just consuming AVS, but potentially contributing).
It has been positioned as addressing a “perfect storm” in Web3: L2 proliferation, restaking, and new asset classes (LRTs) converging.
It has raised venture capital (e.g. $7 million in earlier stages) and formed partnerships with prominent players in DeFi.
The project is increasingly recognized in “Lab Notes” and modular infrastructure reports for pushing forward with cross-chain experiments and modular blockchain infrastructure.
3.4 Community Governance & Structure
The community update for Feb–Mar 2025 highlighted the launch of Matrix Theo Campaign, Morse DAO, and refinement of the community framework.
The project has rolled out DAO components for community participation and voting.
4. Deep Dive: Mitosis & EigenLayer Synergy
Mitosis uses AVS services from EigenLayer for secure cross-chain checks and message validation.
But the relationship may evolve: Mitosis could spin off its own AVS to provide verification or liquidity-state attestation services creating a bi-directional integration.
Composability with other AVSs: e.g. Mitosis might use data availability AVS or oracle AVS to complement its liquidity operations.
Strategically, this positions Mitosis not just as a user but as a stakeholder in the restaking economy.

5. Use Cases & Possible Applications
Yield Optimization / Cross-Chain Farming: A user deposits ETH, and the protocol allocates parts across multiple chains (Arbitrum, Solana, Cosmos) to optimize returns.
Composable Liquidity in DeFi Apps: miAssets (e.g. meETH) can be used as collateral, staked, or traded inside other protocols.
Onboarding New Chains: When a new rollup or appchain emerges, Mitosis can pre-seed liquidity into it via EOL, helping smooth DeFi bootstrapping.
Supporting Liquid Restaking Tokens (LRTs / LSTs): Mitosis may play a central role in routing LRTs (like eETH) across chains.
Capital Efficiency for Institutions: Instead of leaving assets idle, institutions could funnel capital through Mitosis to automatically harvest cross-chain yield.
Governance & DAO-Driven Allocation: Liquidity allocation decisions can be made via DAO governance (MITO holders).

6. Challenges, Risks & Limitations
Security & Cross-Chain Risk: Despite AVS backing, bridging and cross-chain logic remain among the most high-risk parts of Web3
Adoption & Liquidity Bootstrapping: For Mitosis to function, a critical mass of liquidity and participants is required.
Governance complexity: Decisions on allocation, rebalancing, EOL deployment may be contentious and require robust governance design.
Regulatory Uncertainty: Tokens like MITO, miAssets might be scrutinized; legal clarity is needed.
User Experience & Complexity: Abstracting cross-chain yield, risk, and allocations into a simple UI is nontrivial.
Competition & Alternative Architectures: Other projects might also aim to unify liquidity or build modular bridges.
7. Future Roadmap & What to Watch
Transition from testnet to mainnet / L1 launch when Mitosis Chain becomes fully live.
Further expansion of Matrix Vaults, governance modules, and composability integrations.
Deeper integration or offering of AVS services in the EigenLayer ecosystem.
New liquidity campaigns, airdrops, and incentive drives.
Adoption metrics: TVL, active users, cross-chain volume.
Partnerships with L2s, rollups, modular chains, and emerging DeFi protocols.

Conclusion
Mitosis is a compelling bet on the next phase of DeFi: where liquidity is no longer passive, and cross-chain yield optimization becomes seamless. Its architectural design EOL, tokenized liquidity, composability, and alignment with restaking security aligns well with the structural challenges of Web3 today. But its success will depend on execution: security, liquidity, UX, governance. If Mitosis lands well, it may well become the plumbing powering the next generation of multichain DeFi.@Mitosis Official #Mitosis $MITO

@Plume - RWA Chain #Plume $PLUME
Introduction
In Web3’s evolution, one frontier remains underexplored: actually bringing real assets nlike debt, real estate, energy, or commodity rights onto blockchain in a usable, regulated way.
Plume Network has become a standout in this space, focusing wholly on RWA finance (RWAfi).
In this deep dive, we journey inside Plume’s architecture, examine detailed use cases, explore developer tooling, and place Plume within the grander Web3 innovation wave.
1. From Crypto Assets to Real-World Assets: The Next Frontier
Early Web3 was dominated by purely digital-native assets (tokens, NFTs), but the ambition has always been to capture real value
Tokenization is the process of wrapping or representing physical/financial assets on-chain.
Use cases: fractionalized real estate, private credit funds, carbon credits, mineral rights, energy contracts, etc.
The challenge: bridging the off-chain world and on-chain logic while preserving legal enforceability, trust, and liquidity.
2. Plume’s Design Philosophy
Modularity: Plume doesn’t force a monolithic chain; components (tokenization engine, compliance, data, messaging) are composable.
EVM compatibility: Leverage existing smart contract tools, wallets, developer ecosystem.
Native compliance: Instead of forcing issuers to build KYC/AML, identity, legal layers, these are baked in at protocol level.
Cross-chain yield & liquidity: Plume’s SkyLink architecture lets yields from tokenized assets flow across chains.
Demand-driven tokenization: Only tokenizing assets with genuine demand for liquidity, yield, or usage, to avoid fragmenting supply.
3. Key Components & Mechanisms
3.1 Plume Chain & Consensus
Plume uses Proof of Representation, a two-tier mechanism blending traditional transaction validity with representation of underlying assets.
The chain is designed for asset-heavy operations frequent minting, burning, transfers of RWA tokens.
3.2 Arc Tokenization Engine
Arc allows issuers to wrap real assets into token form with compliance, identity, transferability, redemption.
It handles KYC/AML, issuance, secondary market flows, regulatory wrappers.
Value: issuers don’t need to reinvent entire tokenization stack.
3.3 SkyLink Cross-chain Yield Distribution
SkyLink connects multiple chains, letting yields from Plume’s tokenized assets be accessible on other networks.
Example: a carbon credit tokenized on Plume could yield returns to users on Solana, Injective, etc.
SkyLink uses messaging and synchronization pools (e.g. LayerZero SyncPools) under the hood.
3.4 Data, Oracles & Interoperability (Nexus, etc.)
To support valuations, proof of reserves, price feeds, Plume must integrate oracles and data aggregators.
Modules like Nexus help data integration across blockchain systems.
3.5 Compliance / Identity Infrastructure
On-chain identity, KYC, AML modules ensure that only approved participants can trade certain tokenized assets.
Legal wrappers (e.g. special purpose vehicles, trusts) may be integrated or referenced off-chain.
4. Use Cases & Example Asset Types
4.1 Real Estate / Fractional Ownership
Tokenize properties as fractional shares, enabling many investors to own parts of real estate, trade liquidity, use as collateral.
Integration with property registries, title verification, legal disclosure certificates.
4.2 Private Credit / Debt Instruments
A private credit fund (e.g. loans to SMEs) could be tokenized, yielding interest revenue distributed across token holders.
Enables fractional investment and secondary trading of debt.
4.3 Carbon Credits & ESG Assets
Tokenize carbon offsets or credits, tie them to real projects, and distribute yield or redemption rights.
Helps sustainability financing via DeFi.
4.4 Mineral Rights, Energy Contracts, Royalties
Tokenize future revenue streams (e.g. mining royalties, energy production contracts).
Owners can trade or monetize projected income.
4.5 Integrations with DeFi
Tokenized RWAs can be used as collateral in borrowing/lending markets, liquidity pools, derivatives.
Combining native crypto assets and RWAs in the same portfolios.
5. Development Tools & Developer Experience
Plume offers SDKs, APIs, developer documentation to interface with Arc, identity, compliance, and minting flows.
Integration with Web3 orchestration layers e.g. Uniblock partnership gives unified API / RPC / webhook stack for Plume builders.
EVM tool compatibility: developers familiar with Ethereum tooling can adapt with minimal friction.
Sandbox/testnet environments for testing issuance, trading, compliance workflows.
6. Recent Progress & Live Metrics
Over 180+ projects building on Plume’s infrastructure.
Cross-chain yield live across 16+ networks via SkyLink.
Native USDC planned to be on chain, promoting institutional flows.
YZi Labs investment to accelerate ecosystem expansion.
Token airdrop & listing: 150 million PLUME to BNB holders; exchange listings.
Strong testnet traction (wallets, onboarding).
7. Challenges, Risks & Critical Success Factors
Regulation & Legal Risk: Different jurisdictions have different rules for tokenized securities or obligations.
Trust & Auditing: Proving that the underlying real-world asset exists, is held securely, and is properly valued is nontrivial.
Liquidity & Marketmaking: Tokenized assets must find counterparties—without liquid markets, tokens may stagnate.
Oracles & Price Feeds: Reliability of data, manipulation risk.
Integration Overhead: Real institutions often have legacy systems; bridging decentralization with traditional systems is complex.
Competition & Standardization: Many projects may try to “own” RWA infrastructure; standards must evolve.
8. Plume in the Broader Web3 / Tech Context
Plume is representative of next-generation Web3 infrastructure not just blockchains, but domain-specific stacks (RWA).
Its architecture draws on modular chain / rollup / interoperability trends (e.g. rollup-centric design, cross-chain messaging).
It intersects with advances in oracle networks, identity, zero-knowledge proofs, data availability layers.
As Web3 projects push to integrate AI, oracles, off-chain computation, Plume’s modular approach can adapt more flexibly.
The success of RWAfi could shift capital flows: instead of just crypto-native assets, real capital may increasingly flow on-chain.

9. Outlook & What to Watch
Watch upcoming governance tokens, staking mechanisms, incentive programs.

Monitor legal / regulatory developments in key jurisdictions (US, EU, Asia) regarding tokenized securities.

Look for flagship real-world asset tokenization launches (e.g. real estate, credit funds) using Plume’s infrastructure.

Observe how liquidity evolves secondary markets, institutional participation, market makers.
Track integration with other chains via SkyLink whether deeper interoperability emerges (e.g. rollups, other L1s).
Evaluate how Plume’s architecture evolves improvements in consensus, data, zero-knowledge, etc.
Conclusion
Plume Network is not just another blockchain it’s a specialized infrastructure project aiming to bring real-world assets into Web3 in a compliant, efficient, and composable way. Its modular architecture, native compliance layers, and cross-chain yield features set it apart. The recent milestones (token distribution, ecosystem growth, partnerships) suggest momentum. But the journey is still early: success will depend on trust, regulation, liquidity, and real adoption. If Plume (or a similar project) succeeds, it could redefine how traditional financial assets interact with blockchain systems making Web3 a genuinely hybrid frontier of finance.

Introduction
The promise of Web3 has long included converting real-world assets (RWAs) real estate, private credit, carbon credits, etc. into on-chain tokens.
But in practice, regulatory complexity, onboarding friction, and liquidity challenges have held RWA tokenization back.
Enter Plume Network: a modular, EVM-compatible blockchain built specifically for RWA finance (“RWAfi”).
In this article, we explore Plume’s architecture, its recent milestones, ecosystem dynamics, and how it positions itself in the evolving Web3 landscape.
1. Why RWA Tokenization Matters (And Why It’s Hard)
The total addressable market for real-world assets is huge (e.g. trillions of dollars across real estate, debt, commodities) unlocking just a fraction offers enormous upside.
But current obstacles include:
  • Compliance & regulatory risk (KYC/AML, securities law)
  • Trust & custody of off-chain underlying assets
  • Lack of standardized infrastructure for token issuance, transfer, redemption
  • Low liquidity and fragmented marketplaces
Many earlier attempts (Security Token Offerings, asset-backed tokens) fell short or remained niche.
The key is building infrastructure where tokenization, compliance, and DeFi composability are native, not bolted on.
2. What Is Plume Network?
2.1 Vision & Core Mission
Plume aims to make real-world assets first-class citizens in DeFi . so tokenized assets can be used across lending, trading, yield, etc.
It positions itself as a “demand-driven RWA ecosystem,” where projects and institutions can bring assets on-chain and integrate them naturally.
It aims to reduce friction in onboarding, compliance, and liquidity.
2.2 Architecture & Key Components
Plume Chain: The full-stack blockchain (often discussed as a Layer-1 or modular chain) built for RWA tokenization.
Two-Tier Consensus (“Proof of Representation”): A design for validating both representation of assets and ordinary transactions.
Arc (Tokenization Engine): A core tool for asset issuers to tokenize real-world assets with built-in compliance, identity, AML, and bridging to secondary markets.
SkyLink: Cross-chain yield / RWA distribution mechanism that connects multiple chains to Plume’s RWA yields.
Data & Interoperability Layers: Systems like Nexus or modules to integrate data feeds, oracles, cross-chain messaging.
Compliance Infrastructure: KYC / AML layers, identity, legal wrappers native to the protocol so asset issuers don’t need to build everything themselves.
2.3 Ecosystem & Integrations
Over 180+ projects are building on Plume’s infrastructure.
Partnerships: e.g. Plume partnered with Uniblock to offer Web3 orchestration (APIs, RPCs, webhooks) to developers on its chain.
Fundraising & backing: Plume has raised tens of millions in funding from VCs; it also has ecosystem funds (e.g. a $25 M RWAfi fund).
Recent investment: YZi Labs invested to support scalability and institutional onboarding.
3. Recent Milestones & Updates (2024–2025)
3.1 Token Launch / Listings
BNB holders received airdrop of 150 million PLUME tokens (during a snapshot in July 2024) ahead of listings.
PLUME token listed on BitMart and other exchanges.
Current price / market data: For example, PLUME is trading around $0.10 (with 24h volume ~ tens of millions) (check live sources).
3.2 Ecosystem Growth & Adoption
Plume showcased at Token2049 Dubai, Web3 Festival Hong Kong, networking with regulators and partners.
Adoption of SkyLink: enabled cross-chain RWA yield across ~16 (or more) networks including Solana, Injective etc.
Native USDC launch planned on Plume to facilitate institutional on-chain finance.
Investment expansions (e.g. YZi Labs) to deepen institutional reach.
3.3 Technical Progress & Testnet Metrics
Strong testnet usage (e.g. millions of wallets).
Integration of compliance modules, identity, bridging, data oracles being built out.
4. Competitive Landscape & Challenges
4.1 Competitors / Alternatives
Other projects in RWA / asset tokenization space (e.g. Ondo Finance, Securitize, etc.).
Traditional DeFi chains trying to layer on RWA support rather than building from ground up.
Centralized tokenization platforms or consortium blockchains.
4.2 Strengths of Plume
Compliance built-in (not aftermarket)
Modular, composable architecture designed for RWA primitives
Cross-chain yield and liquidity via SkyLink
Strong funding and ecosystem incentives
EVM compatibility (so existing tooling & dev community can plug in)
4.3 Risks & Obstacles
Regulatory uncertainty globally (especially for tokenized securities, debt)
Real-world trust: valuation, auditing, custodians, proof of ownership
Liquidity: tokenized assets might still struggle to find market participants
Integration complexity: bridging from off-chain systems, data oracles, legal wrap structures
Competition from incumbents or emerging modular / zero-knowledge chains
5. What’s Next? Roadmap & Future Outlook
Continued expansion of cross-chain capabilities, onboarding more chains via SkyLink
Launch of native stablecoins or lending pools with RWA backing (e.g. pUSD, pETH)
More institutional partnerships (banks, asset managers) to bring real assets on-chain
Deeper compliance/regulatory frameworks in more jurisdictions
Growing the DeFi layer: lending, borrowing, derivatives on tokenized assets
Potential integration with AI, oracles, prediction markets, on-chain credit scoring
6. Implications for Web3 & Finance
Plume exemplifies a shift: Web3 not just about crypto tokens or games, but bridging real economy assets
If successful, the RWAfi narrative could bring a new wave of institutional capital into blockchain
Standardizing tokenization infrastructure can lower the barrier for many to participate
But the experiment is still early: much depends on proving trust, compliance, and liquidity
Conclusion
Plume Network is carving out a bold, specialized niche: making real-world assets native on-chain, with compliance, interoperability, and DeFi usability built from the ground up. Recent progress (token distribution, cross-chain yield, ecosystem growth) signals momentum. Yet major challenges remain especially regulatory clarity, trust in real-asset custody, and liquidity. If Plume (or a rival) gets this right, the boundary between traditional finance and crypto could become far more porous ushering in a new era of financialization via Web3.@Plume - RWA Chain #Plume $PLUME

Introduction
Bitcoin has long been cast as the “digital gold” a store of value whose idle capital largely lies dormant. BounceBit aims to shift that narrative by making Bitcoin an active yield-producing asset, via a novel restaking / CeDeFi architecture. Through integrating real-world financial instruments, dual-token staking, and regulated custody, BounceBit targets bridging the gap between institutional finance and decentralized innovation.

This article explores how BounceBit works, its ecosystem dynamics, technical design, and the most recent developments as of 2025.

Why BounceBit? The Problem It Tackles

Bitcoin’s dominance is undeniable, but it has limitations:

Low yield on BTC holdings aside from lending or custodial staking, many holders passively hold BTC without earning returns.

Regulatory and custodial challenges bridging Bitcoin into DeFi ecosystems often involves trust, wrapping, or centralized intermediaries.

Fragmentation of yield strategies yields in DeFi are often isolated to altcoin ecosystems, not Bitcoin itself.

Need for institutional-grade integration — for large capital to flow, compliance, regulated custody, and real-world asset linkages are vital.

BounceBit’s proposition: let BTC holders restake their Bitcoin into validator/security operations, while also enabling structured yield strategies and regulated integrations via real-world assets.

Architecture & Core Components

Here’s how BounceBit is designed and how its major modules interact.

Dual-Token & Dual Staking Model

BounceBit is secured by dual staking: validators must stake both BTC (or a locked equivalent) and the native token $BB . This ties Bitcoin’s value directly into network security.

This approach ensures that the network security is not divorced from Bitcoin itself, but reliant on it.

Liquid Custody Tokens & Tradable Representations

Users deposit BTC (or stablecoins) and receive liquid custody tokens (e.g. BBTC / BBUSD) which remain tradeable while still earning yield.

These liquid tokens allow yield exposure without sacrificing liquidity an essential feature for capital efficiency.

CeDeFi Infrastructure & Hybrid Yield Model

BounceBit describes itself as a CeDeFi (centralized + decentralized finance) infrastructure. It seeks to combine regulated custody / compliance (CeFi) with blockchain yield / innovation (DeFi).

It offers structured products like BB Prime, which integrate tokenized U.S. Treasuries (via collaborations with Franklin Templeton) to deliver “institutional-grade yield” plus cryptographic strategies.

The hybrid model allows BounceBit to tap both crypto-native returns and more stable real-world yields.

On-Chain Ecosystem, DApps & Application Layer

BounceBit includes BounceClub, a sort of Web3 interface / marketplace of DApps (swaps, social, gaming, etc.) built on top of its infrastructure.

The chain is EVM-compatible (or at least integrates with EVM toolchains), allowing standard DeFi tooling to be used.

Bridging & Cross-Chain / Tokenized Asset Integration

BounceBit is pushing into Real-World Assets (RWA): tokenized Treasuries, tokenized funds (e.g. BENJI from Franklin Templeton) are used as collateral and yield instruments.

Their infrastructure supports regulated custody and capital allocation to ensure compliance when dealing with tokenized RWA.

Latest Developments & Milestones (2025)

Here’s what’s new and noteworthy in the BounceBit ecosystem in 2025.

Launch of BB Prime & RWA Integration

BounceBit has launched BB Prime, a yield platform that integrates tokenized U.S. Treasuries, delivering hybrid yield strategies combining treasury-based returns and crypto arbitrage.

The collateral for BB Prime comes via Franklin Templeton’s tokenized money market fund (BENJI). This is a significant step into regulated finance.

Pre-registration for BB Prime is ongoing; the product offers structured instruments blending base yields and more aggressive return strategies.
Token Unlocks, Buybacks & Tokenomics

On 10 September 2025, BounceBit unlocked 42.89 million BB tokens (≈6.31% of circulating supply), valued around USD 6.4M.

The protocol is running a buyback program: in August 2025 alone, ~8.87M BB tokens were repurchased, supported by ~USD 16M of projected annual protocol revenue.

This buyback mechanism is designed to counter dilution from token unlocks and help floor the token price.

TVL & Market Metrics

BounceBit’s Total Value Locked (TVL) stands around USD 311 million per CoinGecko metrics.

Its market capitalization and trading activity have also grown; as of now, BB token trades actively on multiple exchanges.

BB Prime’s cumulative volume has surpassed USD 1.5 billion, with the BENJI vault reaching USD 10 million in TVL.

Protocol & Product Upgrades

BounceBit launched CeDeFi V2, aiming to simplify cross-chain investments and operations.

The project is intensifying its tokenomics discipline and doubling down on RWA infrastructure.

It also continues to integrate regulated custody providers and compliance layers to support its hybrid model.

Partnerships & Institutional Bridges

The collaboration with Franklin Templeton is a major institutional bridge, providing credibility and infrastructure for tokenized treasuries on-chain.

BounceBit also uses regulated custodians (e.g. Mainnet Digital, Ceffu) to handle custody and bridging.

The project is often featured on Binance’s content / promotional arms as a flagship CeDeFi / Bitcoin restaking play.
Strengths, Risks & Strategic Considerations

Strengths & Differentiators

1. Bitcoin as active yield asset
Rather than being idle, BTC becomes a core security and yield contributor.

2. Hybrid CeDeFi model
Allows regulated financial instruments (treasuries) to exist alongside DeFi strategies, potentially appealing to institutional capital.

3. Token buyback & unlocking discipline
Active measures to manage inflation and supply pressure.

4. Institutional partnerships
Integration with Franklin Templeton and regulated custodians helps bridge crypto and traditional finance.

5. EVM compatibility & flexible infrastructure
Allows DeFi developers to integrate easily.
Risks & Challenges

Token unlock pressure & market volatility
Large token unlocks may cause downward price pressure; buybacks may not fully mitigate.

Regulatory & compliance risk
Dealing with tokenized real-world assets and regulated custody opens the protocol to securities, compliance, and jurisdictional risk.

Technical scaling & security
Dual staking, cross-chain bridging, and integrating RWA may introduce complex attack surfaces.

Adoption friction
Convincing BTC holders to stake, and building a robust DApp ecosystem, is nontrivial.

Counterparty & custody risk
Reliance on regulated custodians and institutional partners implies trust assumptions; audits and transparency are critical.
What to Watch Going Forward

Post-unlock token price behavior, especially after September 2025 unlocks.

Sustainability of buyback program and whether revenue keeps pace.

Expansion of RWA classes will BounceBit go beyond treasuries to equities, credit, or corporate debt?

Growth of DApps in BounceClub and ecosystem usage metrics.

Regulatory developments, especially in jurisdictions governing tokenized assets.

Performance of the dual staking mechanism, validator count, security incidents, etc.

Partnerships with more institutional actors to deepen trust and capital flow.
Conclusion
BounceBit is one of the more ambitious projects trying to reimagine Bitcoin’s role in yield generation, by combining restaking, hybrid finance, and real-world asset integration. Its partnerships, product launches (BB Prime), and tokenomics moves show real momentum. But execution especially in regulation, adoption, and market dynamics will determine whether BounceBit can truly transform BTC from static gold to an active yield engine.@BounceBit #BounceBitPrime $BB

@Boundless #Boundless $ZKC
Introduction

As blockchain infrastructure matures, the need for verifiable compute proving that off-chain computations are correct without re-executing them on each chain becomes urgent. Boundless (by RISC Zero) is emerging as one of the most promising protocols in that space. Its mission is to decouple computation from consensus, create a marketplace for zero-knowledge proofs (ZKPs), and bring verifiable compute to any chain.

In this article, we’ll unpack Boundless’s vision, architecture, recent developments (2025), challenges, and what to watch next.
I
Why Boundless? The Problem Statement

To understand why Boundless matters, consider these limitations of existing blockchains:

Computation bottlenecks: Complex logic or heavy off-chain tasks can’t be re-executed on-chain without cost or latency.

Redundant validation: Many chains validate the same computations, which is wasteful.

High barrier for ZK adoption: Building custom ZK circuits and proving systems is challenging for many developers.

Tight coupling of execution and consensus: In many architectures, you must re-engineer base layers to support advanced execution — inhibiting modularity.

Boundless addresses these by providing a universal, chain-agnostic layer for verifiable compute, effectively letting any chain or rollup tap into ZK proofs without reinventing the stack.

Its core promise: “Build once, verify anywhere.”

Architecture & Core Components

Here’s how Boundless is structured and what technical building blocks underpin it.

zkVM / RISC Zero & Execution Layer

Boundless is powered by RISC Zero’s zkVM — a zero-knowledge virtual machine built around the RISC-V architecture. This lets developers write logic in Rust and generate proofs without needing a custom circuit DSL.

The zkVM proofs allow off-chain work to be verifiably certified back to the chain, with minimal overhead.

zkOS, Bonsai & Runtime Bridge

zkOS is the runtime that connects the zk logic to multiple blockchains. It acts as a bridge, making the proofs applied on various chains.

Bonsai is a proving-as-a-service component: instead of each project running prover hardware, they can offload proof generation to Bonsai.

Verifiable Compute Market & PoVW (Proof of Verifiable Work)

Boundless envisions a marketplace for proving: nodes (or provers) bid on computation tasks, stake collateral, and deliver proofs.

Its novel incentive model is Proof of Verifiable Work (PoVW) — rewarding provers for doing meaningful, verifiable computation rather than raw hashing.

Dishonest or late provers may be penalized (slashing) as part of a security model.

Decoupling Execution & Consensus

Boundless’s model deliberately decouples execution from consensus, meaning chains need not own the computation logic themselves. This enables modular upgrades and interoperability.

Because proofs are portable, a computation done for one chain might be verified on another, enhancing composability.

Interoperability & Cross-chain Usage

Boundless is designed to plug into any chain or rollup. For example, it can allow a rollup to upgrade to ZK finality in hours rather than months.

It also supports verifiable reserves, DEX audits, oracles, oracles with proofs, etc., across chains.
Recent Developments & Milestones (2025)

Let’s look at what Boundless has done recently — launches, community events, technical pushes.

Mainnet Beta Launch on Base

In mid-2025, Boundless launched its Mainnet Beta on Base (Coinbase's layer). This marks one of the first real deployments of a universal ZK protocol in production.

The launch is described as a “game-changer in universal ZK protocols.”

The incentivized testnet, tied to this, is being touted as a stress test for real ZK infrastructure.

Community Sale, Token & Ownership Design

On July 17, 2025, Boundless announced a community sale tied to its Mainnet Beta, with reward tiers (Bronze, Silver, etc.) and token bonuses for early participants.

Boundless is intentionally community-owned by design, emphasizing infrastructure ownership by users.

Partnerships, Backing & Ecosystem Endorsements

Boundless is incubated by RISC Zero, giving it both technical foundation and credibility.

The project is gaining traction among major Web3 infrastructure actors. For instance, the Ethereum Foundation, Wormhole, and EigenLayer are mentioned as early adopters / participants in the incentivized testnet.

The protocol is also being featured in content platforms and interviews: e.g. the CEO Shiv Shankar in a “ZK will soon become the foundation of all chains” interview.

Code & Protocol Updates

On GitHub, recent releases include v0.13.2, which has bug fixes and logging improvements (non-breaking changes), including updates to Set Verifier addresses and error logging.

The repository is active and open (monorepo) for developers building on Boundless.

Token & Market Activity (ZKC / BUN contexts)

Boundless uses the ticker ZKC in many descriptions. The tokenomics include a supply of 1 billion, inflation schedules (e.g. 7% in Year 1, tapering).

The token model enables provers to stake and bid on tasks (as mentioned above) using ZKC.

Airdrop / early reward campaigns are in motion.

Meanwhile, there is also a separate project called Boundless Network (BUN) (likely unrelated or with a different focus), which has had spot listings (KuCoin) and ecosystem reward campaigns.

Strengths, Risks & Strategic Considerations

Strengths & Unique Value Propositions

1. Chain-agnostic ZK compute
Many blockchains can tap into Boundless without rebuilding proof infrastructure, greatly reducing friction.

2. Developer-friendly stack
Using Rust and RISC Zero zkVM, plus zkOS/Bonsai, lowers the barrier to entry for projects wanting to use verifiable compute.

3. Economic alignment via PoVW
Rewarding provers for meaningful computation activity (not just brute force) gives better alignment for utility and security.

4. Open, community-first ethos
The emphasis on community sales, open source monorepo, and infrastructure ownership helps with decentralization and adoption.

5. Momentum & backing
The backing of RISC Zero, early adoption by infrastructure players, and active launches helps credibility.

Risks & Challenges

Scalability & performance under load
Real-world usage may reveal bottlenecks. Proof generation, network latency, read/write constraints may be stress points.

Security, correctness, and slashing risks
Provers behave maliciously or incorrectly the system must reliably detect and penalize them without false positives.

Token model & incentive sustainability
How rewards are distributed, inflation control, and stake dynamics can make or break economic sustainability.

Adoption inertia
Even if Boundless is powerful, chains or protocols may hesitate to integrate new compute layers adoption is key.

Competition & alternative stacks
Other ZK infrastructure projects may compete, offering different trade-offs (e.g. Cairo, Halo, zkBridge, etc.).

Governance & decentralization
As the system grows, maintaining decentralization and community control becomes harder.

Outlook & What to Watch Next

Here are some signals and events to monitor:

Full mainnet launch & performance benchmarks
How well it handles large-scale usage, proof latency, throughput, and stress tests.

Adoption by chains and rollups
Which chains integrate Boundless for execution / finality or use its compute services.

Activity in the prover market
Number of active provers, competition, bond sizes, and proof throughput.

Token release schedules & emissions
If large unlocks are coming, or reward emissions shift.

New tooling & SDKs
Developer tools, cross-chain integrations, plugin ecosystems.

Governance proposals & community growth
How stakeholder participation grows and how decisions are made.

Use-case benchmarks
Real applications e.g. verifiable AI, DEX audits, privacy-preserving logic demonstrating value.

Conclusion

Boundless is among the most ambitious and technically rigorous attempts to provide universal, verifiable compute across blockchains. By decoupling execution from consensus, building a proof marketplace, and lowering developer friction, it seeks to become a backbone for the next generation of Web3 infrastructure.

However, the path is steep: performance, adoption, tokenomics, and security will all be rigorous tests. If Boundless delivers on its promises, it could reshape how blockchains compute, scale, and interoperate. But for now, it's in the early innings exciting, promising, but far from proven.

Introduction: A New Layer for Web3 Intelligence
In the evolving landscape of Web3 + AI, one of the more ambitious projects gaining attention is Holoworld AI (often shortened as “Holoworld,” ticker HOLO). Its core idea: to let creators, brands, and communities mint, own, and operate AI agents / virtual beings / digital IPs as decentralized, autonomous assets on blockchain.

What sets Holoworld apart is its attempt to combine:

No-code AI agent creation (so that non-developers can build),

Blockchain ownership & attribution (so agents and their behavior are verifiable and ownable),

Agentic economics (agents produce value, engage users, and can be monetized),

Interoperability, memory, and persistence (agents that “remember,” evolve, and live across environments).
In this article, we’ll break down how Holoworld works (or claims to), its product stack, tokenomics, challenges, and what’s new as of late 2025
What is Holoworld AI?
According to Messari and multiple sources, Holoworld is a Web3 platform that democratizes the creation, deployment, and ownership of intelligent virtual beings (“AI agents”).

These agents are able to:

Interact via text, voice, and animated avatars,
Connect with real-time plugins (for data, APIs, etc.),
Maintain memory, context, and personality over time,
Be fully registered, tracked, and owned on-chain (not just as generative outputs).
Importantly:
You don’t necessarily need to code Holoworld emphasizes no-code / low-code tooling for creators to build agents.

Agents are “agentic IPs” meaning they can carry identity, be traded, monetized, and integrated into stories, games, social ecosystems.

Holoworld is built on Solana under the hood (or uses Solana / Solana-based infrastructure) to ensure low latency, fast throughput, and blockchain integration.

So in essence, Holoworld wants to become the foundational agentic layer for Web3 enabling AI agents to live, act, and evolve in decentralized environments.

Product Stack & Core Components

To achieve this vision, Holoworld has developed (or is developing) a set of interlocking modules and products. Here's a breakdown of the major components:

1. Agent / Agent Studio / Agent Creator

This is the user-facing tool that lets creators define personality, traits, behaviors, memory, and appearance (avatar, voice, etc.).

Even without deep AI or development skills, users can deploy agents that interact in communities, perform tasks, or engage audiences.

Agents can connect to plugins (APIs, real-time data, external services) to make them more dynamic.

2. Ava Studio & Content Generation

Ava Studio is a content / video generation hub, allowing creators to turn text prompts into cinematic video or animated scenes featuring agents / characters.

The idea is to reduce production friction: creators with an agent IP can generate media, stories, or marketing content without having to build 3D pipelines from scratch.
3. Hololaunch / Launchpad for Agent IPs

Holoworld runs a Launchpad / incubator (Hololaunch) focusing on AI-native / agentic IP projects, especially connecting Web2 brands or IPs into Web3 via virtual agents.

They have helped projects like Mirai (a virtual human IP project) bring their persona on-chain using Holoworld’s stack.

Additionally, Hololaunch / launchpad mechanics incorporate fair distribution mechanisms (e.g. dynamic points / weighted models) to prevent whales from dominating early rounds.

4. Memory, Data & Infrastructure Layer

Agents need memory and state. Holoworld uses or plans to use decentralized vector databases (for embeddings, context, memory) so that agent memory is not centralized but accessible and verifiable.

The system must handle agent inference, context switching, plugin routing, and persistent state on-chain or off-chain in a secure, efficient manner.

5. Token & Economics (AVA / HOLO)

Holoworld uses a token economy to power actions: AVA (or HOLO, depending on source) is used to create agents, pay for computation / inference, staking, governance, and unlock features.

The token also serves as the medium for reward flows when agents perform valuable tasks, engage audiences, or integrate with brands, token revenues or fees can flow to creators / participants.

Holoworld also uses or plans dual economics or multi-pillar systems, e.g. the “HoloLaunch + MCP Network” model referenced in some analyses.
Latest Updates & Key Developments (2025)

Here’s a survey of what’s happening now with Holoworld / HOLO:

Exchange Listings, Token Activity & Market Moves

HOLO is currently traded on multiple exchanges. CoinGecko shows a circulating supply of ~347,376,226 HOLO out of a max supply of 2,048,000,000.

Its price has fluctuated; in the past 7 days it’s had a decline (~ -18 % vs broader markets) according to CoinGecko.

Recently, HOLO was added as a borrowable asset on Binance VIP Loan, meaning users can borrow funds against HOLO holdings (VIP accounts).

On the news side, Holoworld AI has been spotlighted by Binance: one recent article calls it “the agentic infrastructure of Web3.”

Another Binance Square post hailed it as “the Heartbeat of a Smarter Future,” emphasizing how the HOLO token binds community, creation, and AI.
Project & Ecosystem Momentum

A Binance Square post (recently) states Holoworld is actively pushing the vision of agentic Web3 infrastructure — to make AI agents first-class citizens in the chain environment.

On Binance’s “Square” (their content / editorial arm), they have repeatedly covered Holoworld’s narrative and ecosystem updates.

In broader media, Gate has an article outlining Holoworld’s “dual pillar” economic structure: HoloLaunch + MCP Network, emphasizing how Holoworld balances fairness and decentralized AI model contributions.

The Gate article also notes how Holoworld tries to blend AI + Web3 seamlessly, embedding governance and token utility from day one.

Product Use Cases, Partnerships & IP Integrations

Holoworld started from Hologram Labs / Hologram lineage: early experiments included “Hologram Extension,” enabling NFT avatars to live as virtual personas across video platforms.

Over time, it evolved: Agent Creator, Ava Studio, Hololaunch each improving the workflow for agents and IPs.

The project has onboarded partnerships with NFT IP brands (Pudgy Penguins, Milady, etc.) and Web2 brands such as L’Oréal and Bilibili, helping them extend into AI agents / avatars.

A specific success: Holoworld aided in launching Mirai, a Japanese virtual human IP, using its platform and stack. That project reportedly raised ~$13 million in a presale early, leveraging Holoworld’s tooling.

The article from Wublockchain describes how agentic IP and storytelling is core to their narrative: agents can live in shards, communities, stories, bridging Web2 and Web3 identities.
Challenges & Tokenomics Scrutiny

Like many Web3 + AI projects, Holoworld faces token unlock / vesting pressure. Given that only a portion of tokens circulate currently, future unlocks may put downward pressure.

Community chatter notes that while listings and exposure help, real adoption (i.e. agents being used, monetized, integrated) remains the harder test.

Technical scaling (agent memory, inference, context, cost) remains a nontrivial challenge, especially at mass scale.
Strengths, Risks & Outlook

Here’s a comparative lens on Holoworld’s possible strengths and headwinds, plus what to watch.

Strengths & Unique Selling Points

1. No-code / accessible agent creation
By lowering the barrier, Holoworld opens AI agent creation to creators, not just engineers.
2. On-chain ownership & agentic IP
Agents are more than bots they are property, traceable, tradeable, and composable.
3. Ecosystem & brand integrations
Partnerships with existing NFT IPs and Web2 brands strengthen the product-market fit and expand reach.
4. Strategic narrative and visibility
Being featured by Binance’s content arms, and active coverage, boosts credibility.
5. Dual economic pillars & token utility
The economy (HoloLaunch, MCP) tries to balance fairness, participation, and governance.
Risks & Challenges
Scalability & cost running many AI agents with memory, context, plugins is resource-intensive.
Tokenomics & unlock risks too much supply released without demand can erode price.
Adoption vs hype —many projects hype AI + blockchain; Holoworld must prove real usage, retention, monetization.

Competition other AI + Web3 projects are emerging; differentiation and technical lead are key.
Governance and decentralization as the platform grows, managing decisions fairly and efficiently is nontrivial.

Outlook & What to Watch
Agent usage metrics: number of active agents, user retention, revenue-generating agents.
New partnerships & IP launches via Hololaunch / launchpad.
Token unlock schedule and how the project handles supply emission.
Performance benchmarks (latency, inference cost, memory scaling).
Upgrades to the tooling (SDKs, plugin ecosystems, cross-chain agent interactions).
Governance maturation and community participation in roadmap direction.
Conclusion
Holoworld AI is among the more concrete, product-forward projects uniting AI + Web3. Its vision making AI agents first-class, ownable assets is compelling. The stack of no-code tools, content generation, agent markets, and token economics offers a holistic ecosystem.
However, execution remains the ultimate test. Many projects promise AI + Web3 synergy; the ones that deliver will be those that manage scaling, token stability, adoption, and real value creation.@Holoworld AI #HoloworldAI $HOLO

Introduction
As Web3 evolves, one of the more intriguing frontiers is the fusion of decentralized AI infrastructure with blockchain making data, models, and agent intelligence first-class citizens on chain. OpenLedger positions itself exactly in that space: the so-called AI blockchain, aiming to unlock liquidity in data, models, and agents, while providing verifiable attribution, fairness, and transparency. In this article, we walk through OpenLedger’s philosophy, design, roadmap, and recent advances (2025).

Why OpenLedger? The Problem It Seeks to Solve

The motivations behind OpenLedger stem from some deep challenges in AI and Web3:

1. Siloed data and unpaid contributions
Many AI systems rely on large datasets collected and controlled by centralized entities. Contributors rarely receive ongoing compensation when their data is reused or models improve. OpenLedger attempts to embed attribution and reward flows into the infrastructure.

2. Opaque models / black boxes
In typical AI systems, the internal workings (which data contributed what, how inference was done) are hidden. OpenLedger’s architecture emphasizes Proof of Attribution cryptographic trails linking model output to contributing data or model elements.

3. Lack of continuous incentivization
Many blockchain/AI proposals provide one-time rewards (e.g. for data upload). OpenLedger’s goal is to allow ongoing rewards whenever a dataset or model is used or referenced turning AI assets into yield-bearing, revenue-generating objects.

4. Bridging AI and DeFi / Web3 utility
OpenLedger’s vision is not just “AI + blockchain” in theory but integrating with wallets, cross-chain flows, and real world asset pipelines, so that AI becomes a utility layer within the Web3 stack.

Core Design & Architecture

Layer & Compatibility

OpenLedger is built as an EVM-compatible chain (or layer) to allow familiar tooling and developer migration.

Underneath, it leverages rollup / layer-2 style scaling to maintain throughput and lower gas overhead, while inheriting security from base layers.

DataNets, Models & Agents

The concept of DataNets is central: domain-specific, on-chain data repositories (or datasets) to which contributors can upload data, label data, or otherwise enrich the net. These DataNets then feed specialized models.

Models trained on those DataNets can be deployed, fine-tuned, or evolved. Each inference or usage is tracked, attributing credit to data contributions, model versions, and agents.

Agents autonomous AI actors may act on behalf of users (or protocols), executing tasks or decision logic. Because everything is on chain or verifiable, attribution is retained.

Verifiable Attribution & Rewarding

The Proof of Attribution mechanism is the backbone: when a model output is produced, the system cryptographically links which data, features, or model parts contributed to that result. That trace is used to split rewards.

Because this is done on chain, with transparent logs, trust is embedded in the infrastructure.

Monetization & Liquidity

Models, data pods, agent logic become economic assets that can be licensed, traded, or rented. Liquidity can flow through them.

When a model is used (e.g. inference requests), usage fees or revenues are split to contributors per their attribution share.
AI-Native Wallet & Interaction Layer

A big pillar in OpenLedger’s roadmap is the integration of AI logic into the wallet interface (e.g. via natural language commands). The wallet can become an intelligent agent layer, not just a signing tool.

Through partnerships (such as with Trust Wallet), OpenLedger plans to embed explainable AI agents that interpret user intent, suggest or even auto-execute cross-chain or DeFi actions — all while preserving user control and auditable logic.
Recent Milestones & Updates (2025)

Here’s a timeline / snapshot of key developments in 2025 for OpenLedger:

$25M OpenCircle Launch & Funding Commitment

In mid-2025, OpenLedger committed USD 25 million via its OpenCircle launchpad (or incubator) to support AI + Web3 developer projects.

This fund is intended to help seed AI-centric protocols, startup teams, and infrastructure building atop OpenLedger.

Token Listing & Airdrop

The native token OPEN was listed on Binance as part of their HODLer Airdrops program on September 8, 2025.

As part of the listing, 10 million OPEN tokens were distributed via the airdrop to eligible users.

ON listing day, OPEN reportedly saw a ~200% price surge and strong trading volume.
OpenChat AI Launch & Platform Signals

On July 28, 2025, OpenLedger launched OpenChat AI, a conversational AI platform that logs user interactions on-chain, using Proof of Attribution.

The OpenChat rollout was accompanied by hints of a Token Generation Event (TGE) and major upcoming announcements.

Trust Wallet Partnership & AI-Native Wallet Interface

OpenLedger announced a tie-up with Trust Wallet to develop AI-powered, conversational wallet experiences. The aim is to let users use natural language commands (text or voice) to trigger blockchain actions (swap, bridge, stake) via AI agents.

The integration ensures that AI logic remains explainable and auditable and never compromises the user’s self-custody.

OpenLedger describes this as “natural-language becomes the new interface, while AI agents handle complexity with transparency and control.”

Academic & Community Partnerships

OpenLedger partnered with Blockchain at Berkeley (UC Berkeley) to allow students and researchers to build and train AI models on OpenLedger’s infrastructure, with direct ownership and on-chain attribution.

In parallel, OpenLedger established a foundation to oversee the reward distribution, governance, and long-term development of its AI-blockchain mission.

Ecosystem Strategy Content

In June 2025, a blog laid out “10 Billion Dollar Apps You Can Build On OpenLedger”, illustrating possible use cases across verticals (knowledge engines, domain-specific models, AI + Web3 mashups) and emphasizing the data + model monetization model.

The testnet is live, and users can already participate in contributions, inference, and model usage, earning rewards as the platform grows.

Market & Token Dynamics

Market watchers note that while listing hype is driving price action, token unlock schedules, vesting, and circulating supply increases present potential volatility risks.

The OPEN tokenomics show that a large portion remains locked initially (only a fraction circulating), raising questions about dilution or sell pressure.

Strengths, Risks & Outlook

Strengths & Unique Differentiators

Built-for-AI architecture: OpenLedger is designed from the ground up to treat data, models, and agent logic as first-class blockchain assets.

Attribution transparency & fairness: The Proof of Attribution model is a compelling differentiator in the emerging AI + Web3 space.

Integration with wallets & UX focus: The wallet partnership and conversational interface bet addresses one of Web3’s biggest bottlenecks usability.

Strong ecosystem funding & incubation: By committing significant capital (OpenCircle fund) and fostering project growth, OpenLedger is backing its own ecosystem.

Academic & community inclusion: Partnerships like Berkeley help legitimize and diffuse the project into research and education.

Risks & Challenges

Technical complexity & scalability: Ensuring attribution, inference, and AI logic work at scale on-chain is nontrivial.

Adoption & developer traction: The platform must attract meaningful developer and model contributions to create liquidity and utility.

Token unlocks & market pressure: If large allocations unlock suddenly, price instability may follow.

Competition & alternatives: Many projects aim to bridge AI and blockchain — OpenAI, SingularityNET, others.

Regulatory environment: AI, data, privacy, and token issuance may all attract regulatory scrutiny across jurisdictions.
Outlook & What to Watch

Mainnet launch readiness and gas / performance benchmarks.
The growth and diversity of DataNets, models, and agents in the ecosystem.
How many AI projects or startups get funding from OpenCircle and build on OpenLedger.
Uptake and user feedback of the AI-native wallet features.
Token unlock schedules and liquidity flows.
Real-world use cases (e.g. in predictive finance, knowledge agents, domain models) gaining adoption and producing yields.
Conclusion
OpenLedger is an ambitious attempt to unify AI and blockchain, turning data and models into active economic assets under verifiable attribution and reward systems. Its recent moves the $25M commitment via OpenCircle, token listings, OpenChat rollout, and wallet partnerships show that the project is pushing aggressively into product territory, not just theory.
If it can successfully execute on its architecture, attract real developer activity, and manage token dynamics prudently, OpenLedger could become a foundational layer in the future Web3 + AI stack. But the path is risky technical scalability, adoption, and tokenomics will be the major proving grounds.@OpenLedger #OpenLedger $OPEN

Introduction
Web3 and DeFi continue to evolve rapidly. One of the more intriguing projects making waves in 2025 is Mitosis a protocol aiming to reinvent how liquidity works across chains. Gone are the days when liquidity sits idly in static pools; Mitosis introduces a model where liquidity becomes programmable, composable, and community-controlled. In this article, we’ll walk through Mitosis’s core vision, its key technologies, challenges, and the most recent developments (as of late 2025).
The Problem Mitosis Seeks to Solve: Fragmentation & Capital Inefficiency

DeFi, especially across multiple blockchains, faces these recurring issues:

Fragmented liquidity each chain functions largely in isolation, so users and protocols must manage many silos of liquidity.

Bridges & their risks transferring assets between chains often requires bridging, which is slow, costly, and vulnerable to hacks.

Underutilized locked capital when liquidity is locked in a pool, that capital is largely static and cannot be repurposed elsewhere.

Power asymmetry — large liquidity providers or institutions often have better terms and access than retail users.

Mitosis aims to tackle these by reimagining liquidity as dynamic, cross-chain, and governed by the ecosystem itself.

Core Concepts & Architecture

Ecosystem-Owned Liquidity (EOL)

One of the defining ideas of Mitosis is Ecosystem-Owned Liquidity (EOL). Under EOL:

Liquidity isn’t purely provided by external “mercenary” capital. Instead, the ecosystem itself owns and manages liquidity.

Participants deposit assets into vaults, and in return receive miAssets (e.g. deposit ETH, receive miETH), which represent their share and grant governance rights over allocation.

The ecosystem (via governance) decides where and how to deploy liquidity across protocols, chains, yield strategies, etc.

This model is intended to give retail LPs collective bargaining power, essentially leveling the field.

Programmable Liquidity & Tokenized LP Positions

Traditional liquidity positions (e.g. in DEXes) are often locked; you commit your assets and you’re stuck until withdrawal. Mitosis wants to turn those into liquid, composable tokens:

miAssets are 1:1 representations of deposited assets (e.g. meETH for ETH). These can be used in other DeFi protocols, or even transferred.

maAssets represent more advanced, programmed strategies, where LPs’ liquidity can participate automatically in yield strategies.

These allow liquidity to “do work” elsewhere while still being staked in the ecosystem.

Cross-Chain & Sub-Chains: Cross-Split & Modular Design

To overcome fragmentation:

Mitosis plans to support custom sub-chains — projects can deploy lightweight chains anchored to the core Mitosis infrastructure.

It introduces a Cross-Split mechanism instead of traditional bridges. Cross-Split aims to shorten confirmation times and reduce cost, enabling cross-chain transfers in a few seconds.

Mitosis positions itself not as yet another isolated blockchain but as a liquidity & interaction layer across the ecosystem.

The architecture is modular: the separation of consensus, execution, data layers enables upgrades and flexibility.

Security via Restaking, AVS & Integration with EigenLayer

Mitosis employs restaking of assets (such as ETH) to enhance security in the multi-chain context via an Active Validator Set (AVS) model.

It integrates with EigenLayer, allowing staked ETH to secure multiple services, not only Mitosis, enabling multi-yield opportunities.
Recent Updates & Developments (2024–2025)

Now let’s look at what’s new with Mitosis — what’s live, what’s upcoming, and what’s been launched lately.

Funding, Launch & Seed Rounds

In May 2024, Mitosis raised $7 million in seed funding to support development and ecosystem growth.

Throughout late 2024 to early 2025, Mitosis maintained public communications about its roadmap and ecosystem goals.

Testnet & Incentivized Programs

Mitosis launched a testnet with incentives, allowing participants to earn MITO Points / XP by performing tasks, interacting with vaults, and completing on-chain/off-chain quests.

The testnet initially ran from November to December 2024, with allocations for token rewards and distributions.

Guide articles explain how users can deposit, claim faucets, play mini-games to earn XP, and optimize for higher reward potential.

Listing & Token Economics

Mitosis’s native token MITO has been listed (or is being listed) on exchanges. For example, plans for listing on April 2025 have been discussed.

Binance has partnered with Mitosis to run a $1 million MITO Booster Campaign with token rewards distributed via quests and lock-ups.

As part of the Token Generation Event (TGE), ~5,000,000 MITO tokens are slated for distribution.

In its “Booster Program,” Binance will distribute rewards in stages (Quest → Token Distribution → Claiming/Trading).

Some reports mention a BNB holder airdrop tied to the Binance listing.
Ecosystem & Liquidity Growth

Mitosis is already managing vaults spanning multiple networks, functioning as part of its EOL model.

Its liquidity protocol integrates with other DeFi projects such as Ether.fi, Symbiotic, Hyperlane, etc.

DappRadar shows Mitosis has an active presence and continues to push updates.

Media commentary increasingly frames Mitosis as a new cross-chain liquidity backbone, rather than just another DeFi project.
Challenges, Risks & Road trip

Smart Contract Risks & Audits

As with any DeFi protocol, Mitosis must contend with smart contract vulnerabilities, reentrancy, flash-loan exploits, etc. Rigorous audits and formal verification will be crucial.

Governance & Onboarding

Governance decisions (e.g. where to allocate liquidity) must balance between decentralization and efficiency. Poor decisions could lead to suboptimal yield or losses.

Getting retail users to understand and participate the UX around vaults, tokenized positions, cross-chain flows is nontrivial.
Competition & Innovation Pace

Other projects (e.g. cross-chain bridges, layer 0 / interoperability projects) are racing. Mitosis must stay ahead in innovation and adoption.

Regulatory & Compliance Pressure

As Mitosis gains traction, regulatory scrutiny may increase, particularly given cross-chain movement, token launches, and liquidity aggregation.

Future Prospects

Full mainnet launch with production protocols and active vault usage.

Expansion of maAssets (programmable strategies) and more integrated DeFi applications leveraging them.

Sub-chain deployment by third parties.
Deeper integrations with other infrastructure and restaking / security primitives.
Conclusion
Mitosis is a bold bet on reimagining how liquidity behaves in the DeFi era. Rather than fragmented vaults across isolated chains, Mitosis envisions a world where liquidity is owned by the ecosystem, programmable, interchain, and composable. Its innovations EOL, cross-split, sub-chains, restaking are ambitious, and the early traction, testnet activity, and major partnerships (e.g. Binance) suggest real momentum.
However, success is far from guaranteed. Risks in security, governance, user adoption, and regulation remain real. Nonetheless, Mitosis is one of the more fascinating projects to watch in 2025, especially if you believe DeFi’s future lies in fluid, cross-chain capital movements rather than static pools.@Mitosis Official #Mitosis $MITO

Overview

BounceBit is a groundbreaking project that introduces a native Bitcoin restaking infrastructure, aiming to bridge the gap between Bitcoin's security and the flexibility of decentralized applications. By leveraging a dual-token Proof-of-Stake (PoS) Layer 1 blockchain, BounceBit enables Bitcoin holders to participate in DeFi activities without relinquishing control over their assets.

Key Features

Dual-Token PoS Layer 1 Blockchain: BounceBit's network is secured by validators staking both Bitcoin and its native token, BB. This design combines the robustness of Bitcoin's security with the programmability of a PoS blockchain, ensuring a secure and scalable environment for decentralized applications.

EVM Compatibility: The BounceBit chain is fully compatible with the Ethereum Virtual Machine (EVM), allowing developers to deploy existing Ethereum-based smart contracts seamlessly. This compatibility facilitates the integration of a wide range of DeFi protocols and applications.

CeDeFi Infrastructure: BounceBit operates within a CeDeFi framework, merging centralized custodianship with decentralized execution. This approach provides institutional-grade yield products and restaking use cases, making high-yield opportunities accessible to all.

Recent Developments
Mainnet Launch: BounceBit successfully launched its mainnet, achieving a significant milestone in its development. The mainnet introduction brought enhanced functionalities and a more robust infrastructure to support its growing ecosystem.

Partnerships: The project has formed strategic partnerships with established custodians like Mainnet Digital and Ceffu, ensuring the regulated custody of assets within its ecosystem.
Impact and Future Outlook
BounceBit's innovative approach positions it as a key player in the evolution of Bitcoin's role in the DeFi space. By enabling Bitcoin holders to participate in yield-generating activities without compromising the security of their assets, BounceBit is paving the way for broader adoption of decentralized finance.
🚀 BounceBit V3: Introducing "Big Bank" and Interest-Bearing Tokens
Overview
In its latest update, BounceBit has rebranded itself as "Big Bank," signaling a significant evolution in its platform's capabilities. The V3 upgrade introduces several new features aimed at enhancing user experience and expanding the platform's offerings.
New Features
Perpetual Contract DEX Integration: The V3 upgrade integrates a perpetual contract decentralized exchange (DEX) and its liquidity pool directly into the core protocol. This integration allows users to engage in perpetual trading within the BounceBit ecosystem, expanding the platform's DeFi capabilities.
Interest-Bearing BB Tokens: BounceBit has introduced a new class of interest-bearing tokens, such as BBTC and BBETH. These tokens automatically rebase, meaning their balance increases over time as they accrue yield. Users can deposit assets directly on the original BTC and ETH chains, and the system will automatically mint the corresponding BB tokens on the BounceBit chain, streamlining the process and eliminating the need for manual cross-chain transactions.
Strategic Vision
The rebranding to "Big Bank" reflects BounceBit's ambition to become a comprehensive financial ecosystem that combines the best aspects of CeFi and DeFi. By integrating advanced financial instruments and simplifying user interactions, BounceBit aims to attract a broader audience and facilitate the seamless participation of Bitcoin holders in the decentralized economy.
Market Reception
The introduction of V3 has been met with positive feedback from the community and industry observers. The integration of a perpetual contract DEX and the introduction of interest-bearing tokens are seen as significant steps toward enhancing the platform's utility and appeal.
Future Prospects
Looking ahead, BounceBit plans to continue expanding its offerings, with potential developments including the introduction of additional financial products and further enhancements to its CeDeFi infrastructure. The project's commitment to innovation positions it well for sustained growth and influence in the evolving cryptocurrency landscape.
Conclusion
BounceBit's innovative approach to integrating Bitcoin with decentralized finance through its CeDeFi infrastructure and the recent V3 upgrade demonstrates its commitment to enhancing the utility and accessibility of Bitcoin in the DeFi space. By continuously evolving and introducing new features, BounceBit is poised to play a pivotal role in the future of decentralized finance.@BounceBit #BounceBitPrime $BB

Overview
Boundless is a cutting-edge Web3 infrastructure project developed by RISC Zero. It introduces a novel approach to blockchain scalability through the use of Zero-Knowledge Proofs (ZKPs), enabling verifiable off-chain computations. This innovation allows blockchains to process transactions more efficiently and securely, addressing one of the most pressing challenges in the industry: scalability.
Key Developments
Mainnet Launch and Proof of Verifiable Work (PoVW): In July 2025, Boundless launched its mainnet on the Base network. The protocol introduced PoVW, a unique incentive mechanism that rewards nodes for contributing verifiable computational work. This system aims to enhance the network's efficiency and security .

Tokenomics and Airdrops: Boundless initiated a token distribution strategy, including a significant airdrop of 5 million ZKC tokens, representing 0.5% of the total supply. This move is designed to encourage community participation and node engagement .
Ecosystem Growth: The project has secured substantial backing, including $52 million in funding from prominent investors like Blockchain Capital and Bain Capital Crypto. With over 255,000 followers on X (formerly Twitter), Boundless is rapidly expanding its presence in the Web3 ecosystem .
Impact and Future Outlook
Boundless is poised to play a pivotal role in the evolution of blockchain technology. By decoupling computation from consensus, it offers a scalable solution that can support the growing demands of decentralized applications. As the project continues to develop and attract more participants, it has the potential to become a cornerstone of the next generation of Web3 infrastructure.@Boundless #boundless $ZKC

Introduction
In the evolving Web3 + AI landscape, Holoworld AI is positioning itself as a foundational platform to democratize intelligent virtual beings (“AI agents”) with true digital ownership. Rather than being just another AI tool or NFT experiment, Holoworld seeks to embed agentic intelligence, monetizable IP, and community control into the same protocol fabric. As of late 2025, the project has made substantial progress in token launches, platform features (e.g. no-code tools, content studios), and ecosystem partnerships — while facing the usual obstacles of adoption, tokenomics, and execution risk.

This article delves into Holoworld’s vision, architecture, recent updates, opportunities, and risks.
The Vision & Value Proposition

At its core, Holoworld AI aims to:

1. Enable anyone (creators, communities, brands) to build AI-powered virtual agents without requiring deep technical expertise (i.e. no-code or low-code).
2. Treat those agents as verifiable digital assets owning identity, history, behavior, and monetization paths on-chain.
3. Provide an ecosystem (studio tools, marketplaces, launchpads) to host, trade, deploy, and integrate these agents across social, gaming, content, and AI domains.
4. Incentivize contributors (data, infrastructure, developers) through tokenomics and ownership models.
In this way, Holoworld sits at the intersection of AI, digital content, and Web3 native ownership.
According to Messari, Holoworld is a Web3-based platform that democratizes creation, deployment, and ownership of intelligent virtual beings or “AI agents.” Binance’s writeups emphasize Holoworld’s ambition to fuse blockchain’s transparency with AI’s expressiveness, turning agents into both interactive companions and digital IP.
Holoworld calls itself an “agentic app store” a place where creators can build, play, and fundraise via AI-powered characters and interactive narratives. Its tool suite includes Ava Studio (for video/scene generation), Agent Market / Agent Creator, and HoloLaunch (a launchpad for AI-native IP).
Architecture & Key Components

To understand how Holoworld works, it helps to examine its major subsystems and token model:
Agent Layer & Ownership
AI agents are recorded on-chain (especially on Solana) as unique assets. Each agent has identity, traits, memory, behaviors, and history that can evolve.

The system is composable — agents can plug into APIs, fetch data, respond to user input, execute actions.

No-Code / Studio Tools

Ava Studio: Users can generate short cinematic video scenes from prompts, script dialogues, set backgrounds, narration, etc. This helps users produce agent content without full technical stack.

Agent Creator / Agent Market: Users can customize agent attributes, manage behavior modules, and list agents for trade or deployment.

HoloLaunch & IP Monetization

HoloLaunch: A mechanism for AI-native IP projects (agents, stories, virtual characters) to fundraise, onboard users, and distribute rights.

Royalties, commission splits, and economic incentives are built into agent deployment and trading.

Tokenomics HOLO & AVA / Credits

HOLO: the native token, used for staking, governance, payments, launching projects, and possibly fees in the ecosystem. Holoworld recently conducted a “genesis airdrop” of HOLO tokens as part of its launch.

Only a fraction of total supply is circulating initially; a large portion remains locked or vesting.

Credits / Holo Credits / AVA: Holoworld uses a “credit system” (sometimes via burning AVA tokens) to pay for agent operations (model inference, API calls, rendering). This abstracts usage costs.
Recent Developments & Milestones (2025)

Below are the standout updates and events shaping Holoworld’s trajectory as of late 2025.

Token Launch, Airdrop & Exchange Listings

On September 11, 2025, Holoworld AI launched its Genesis Airdrop, distributing 30.72 million HOLO tokens (~1.5% of total supply) to BNB holders who had staked or held assets in specific windows (Simple Earn, On-Chain Yields).

On the same day, HOLO was listed on Binance (spot, margin, futures), with trading pairs like HOLO/USDT, USDC, BNB, etc.

Other exchanges also listed HOLO. For example, KuCoin added HOLO/USDT trading, making HOLO accessible to global audiences.

HTX (formerly Huobi’s exchange arm) also opened trading for HOLO (spot, isolated margin) on September 11.

These launches gave HOLO liquidity, public visibility, and opened speculation around adoption vs. token supply pressure.

Ecosystem Growth & Use Case Activity

Holoworld claims metrics like 1+ million users, 700,000+ creations, and 35+ million interactions on its platform.

It is collaborating with NFT/brand IPs (e.g. Pudgy Penguins) to integrate AI agents into existing communities and content ecosystems.

It raised seed capital earlier (in July 2022) about $6.5 million in its initial round, backing early development.

The platform’s “Hologram Extension” (early product) allowed NFTs to act as avatars in video calls (Zoom, Meet) using computer vision. Over time, the project pivoted toward full agent creation rather than just avatar visuals.
Vision, Messaging & Strategic Positioning

Holoworld’s leadership and community often describe AI as the next leap for communities: making content more dynamic, memorable, and participatory. AI agents help make Web3 experiences more “alive.”

One of Holoworld’s strategic articulations is “agentic infrastructure of Web3” aiming to be the layer that enables autonomous agents across platforms.

Gate’s coverage highlights Holoworld’s dual economic pillars: HoloLaunch (fair distribution, enabling new AI IPs) and MCP Network (model context / contributor incentives).

Opportunities & Competitive Advantage

Holoworld boasts several compelling advantages:
1. First-mover in AI-agent ownership spaces many AI + Web3 projects are superficial; Holoworld leans deep into the agent conception, rather than just AI APIs.
2. Accessible tools for creators no-code studios, agent markets, video generation tools lower technical friction, attracting non-technical creators.
3. Economic alignment via native incentives built-in token mechanisms, credit systems, launchpad structures help bootstrap participation.
4. Composable integration agents can be plugged into social media, NFT ecosystems, games, or content platforms, increasing use-case flexibility.
5. Growing hype + capital momentum airdrops, exchange listings, and brand tie-ups fuel attention and growth.

If Holoworld can successfully activate creators, users, and IP ecosystems, it could become a foundational layer for AI-native Web3 experiences.
Risks, Challenges & Uncertainties

Despite bright prospects, Holoworld also faces significant headwinds:

Tokenomics & unlock risk
While only ~17% of total HOLO supply is in circulation now, the vast majority is locked or vesting. As unlock schedules kick in (2026+), price dilution and sell pressure may arise.

Retention over hype
Early engagement (creations, interactions) is strong, but sustaining usage beyond initial novelty is harder. Will creators keep making agents? Will users interact?

Competition & imitation
Bigger platforms or blockchain + AI incumbents might replicate key features (marketplaces, agent frameworks, creator tools).

Scalability & latency
Real-time agent interactions, rendering, inference costs, data fetches, and cross-chain coordination pose nontrivial engineering challenges.

Governance & decentralization
Early foundations, teams, or major token holders could centralize control unless checks are built.

Licensing, IP, and legal issues
As agents interact and generate content, questions around copyright, liability, defamation, and user data become important.

Outlook & What to Watch
Over the coming months and years, these are critical signals and developments to monitor:
User metrics: number of active agents, monthly creator growth, usage frequency
Project launches via HoloLaunch: quality, adoption, traction
Token unlock schedules and selling behavior
Tooling upgrades: SDK releases, cross-chain support, plugin ecosystems
Partnerships with major brands / IPs: these can help bring agent use to wider audiences
Governance evolution: how Holoworld transitions power to community
Interoperability: connecting agents across platforms, blockchains, media channels
If Holoworld can maintain momentum, it may help shift the paradigm: not just AI built over centralized infrastructure, but AI living on-chain owned, shared, and evolved by communities.@Holoworld AI #HoloworldAI $HOLO

Introduction

In the evolving landscape of Web3 and AI convergence, OpenLedger has rapidly emerged as a flagship project seeking to bridge decentralized infrastructure, data monetization, and transparent attribution. As traditional AI systems accumulate value through opaque pipelines and data silos, OpenLedger’s vision is to flip the model: make datasets, models, and contributors traceable, verifiable, and economically rewarded on-chain. In 2025, the project has accelerated with new partnerships, funding initiatives, and real-world integrations — making it one of the leading experiments in “blockchain-native AI.”

This article explores OpenLedger’s mission, architecture, recent developments, and challenges ahead.
The Vision: From “Extractive AI” to “Payable AI”

At its core, OpenLedger seeks to resolve a tension in AI and Web3: who owns the value generated by AI? Much of AI’s value today comes from data contributors, model developers, and compute providers — but in centralized systems, most of that value accrues to a few platforms. OpenLedger introduces the notion of Payable AI, where contributors are rewarded proportionally for the influence their data or models have on outputs.
OpenLedger employs a Proof of Attribution mechanism: every model inference is cryptographically tied to the training data and contributors, making attribution auditable.
It supports Datanets, structured data ecosystems where contributors feed datasets, which are cleaned, validated, and used to train specialized AI models.
Model deployment and inference are coordinated, allowing multiple models to share GPU or compute resources efficiently, while settlement and reward logic remain on-chain.
This architecture makes OpenLedger not just a blockchain with AI capabilities but a protocol layer for AI infrastructure, where data and insights become first-class economic assets.
Core Architecture & Components

To understand how OpenLedger functions, it’s useful to break down its major modules:

1. Datanets & Data Contribution
Contributors upload datasets (raw or processed). The network validates and audits contributions, linking each data piece to its origin. This ensures provenance and enforces reward logic.

2. ModelFactory & Training
Developers build models on top of contributed data. Training can happen off-chain (for efficiency) but with commitments on-chain, and outcomes are measured with attribution metrics.
3. Inference / Agents / Deployment
Models are deployed (oracles, agents, AI APIs) where users query them. Each request is traced to the data inputs and model weights, so reward splits can be automatically calculated.
4. On-Chain Settlement & Incentives
Smart contracts manage the distribution of rewards (OPEN tokens) based on contribution, influence, and usage. The system ensures users, data providers, and model developers all share value.
5. Foundation & Governance Layer
OpenLedger has established a foundation to oversee sustainable growth, contributor rewards, and decentralized governance.

These components position OpenLedger as more than a niche project it’s aiming for a new AI-Web3 paradigm.
Recent Milestones & Updates in 2025

2025 has been a pivotal year for OpenLedger. Below are some of the most significant developments:

$25 Million Commitment via OpenCircle

In June 2025, OpenLedger launched OpenCircle, a $25 million incubator/launchpad to support AI + Web3 startups building on its protocol. This funding aims to accelerate ecosystem growth and attract developers with grants, mentorship, and technical support.
The move is narrative-shifting: the project is not just promising infrastructure but actively investing in its own growth verticals.

Trust Wallet Partnership & AI-native Wallet Interface

One of the project’s marquee announcements: a collaboration with Trust Wallet (with over 200M users) to embed AI capabilities into a self-custodial wallet.
Key features include:

Natural-language commands: You could instruct your wallet like “swap USDC to ETH via cheapest route,” and the AI agent handles the logic.

Transparent, on-chain AI execution: The wallet ensures that AI decisions remain auditable, with full explainability and no hidden “black boxes.”

Multi-chain routing, fraud detection, suggestion engines, and gas optimization pipelines built as AI components.
This innovation reframes wallets from passive storage tools into intelligent agents (with user consent at every step).
Binance Listing & Token Launch Surge

On September 8, 2025, OpenLedger’s token OPEN got listed on Binance, with trading pairs like OPEN/USDT, BNB, FDUSD, etc.
Key metrics:

OPEN saw a dramatic ~200% price surge on debut.

Binance included OPEN in its HODLer Airdrops program, distributing 10 million tokens to eligible BNB holders.

Analysts have projected potential upside to $2.07 by year-end (though cautions about unlock pressure exist).

Some community voices point out that team/investor tokens will vest/ unlock over 36 months, possibly causing sell pressure.
The listing offered liquidity and visibility but also introduced market dynamics that the project must manage carefully.

AMA & Community Engagement

On September 16, 2025, OpenLedger held an AMA with MEXC and its core contributor “Ram,” discussing roadmap updates and community priorities.
During this session, topics included scaling strategy, cross-chain design, community incentives, and the next phase of integrations.

Ecosystem & Developer Pushes

OpenLedger published a blog titled “10 Billion Dollar Apps You Can Build on OpenLedger”, showcasing possible use cases like onchain knowledge engines, AI research tools, data-backed content agents, etc.

The project also joined the Irys ecosystem for enhanced blockchain data access.

In May 2025, OpenLedger established its own foundation to steward long-term growth and incentivization.

Several analysts and media outlets are increasingly viewing OpenLedger as a strategic bridge between AI and blockchain, placing it among key AI-Web3 plays.

Opportunities & Challenges Ahead

Opportunities

1. First-mover advantage in AI + Web3
The combination of attribution, decentralization, and reward transparency is rare at scale. If OpenLedger nails execution, it could define a new category.
2. Ecosystem leverage through incubation
With its $25M fund (OpenCircle), the project can onboard teams early, creating network effects and technical lock-in.
3. User onboarding via smarter wallets
AI-native wallets reduce friction for non-technical users. If the Trust Wallet integration works well, it could be a key vector for mass adoption.
4. Transparency as a differentiator
In an era of AI black boxes and proprietary models, OpenLedger’s commitment to open attribution may resonate with developers, regulators, and conscientious users alike.
Challenges

1. Scalability & On-chain overhead
Attribution, settlement, and auditing at scale impose computational and storage burdens. Balancing off-chain efficiency with on-chain verifiability is nontrivial.
2. Tokenomics & sell pressure
Token unlock schedules and liquidity events could introduce downward pressure unless growth and demand keep pace.
3. Competition & imitation
As AI and blockchain converge, large protocols or incumbents (Ethereum, Solana, or AI-focused chains) may try to replicate or absorb the same features.
4. Governance & decentralization risks
To sustain trust, OpenLedger must ensure that control remains decentralized — that the foundation and early backers don’t centralize power.
5. Adoption inertia
Convincing developers, enterprises, and users to rebuild or reorient toward a new AI-Web3 paradigm will require strong product-market fit and clear incentives.
Outlook & What to Watch
As of late 2025, OpenLedger is in a high-growth, high-risk phase. Its roadmap hinges on execution across multiple fronts: wallet integration, developer onboarding, data scaling, and governance.
Key indicators to monitor:
User adoption metrics: number of active wallets, AI queries, model deployments
Ecosystem growth: number of startups incubated via OpenCircle
Tokenomics health: vesting schedules, lockups, liquidity dynamics
Technical robustness: latency, gas costs, audit reports
Regulatory landscape: especially in AI attribution, data privacy, and
blockchain governance
If OpenLedger can hold the line between decentralization, performance, and usability, it may become a foundational layer in the next-gen AI-Web3 stack.@OpenLedger #OpenLedger $OPEN

Introduction

In the rapidly evolving intersection of Web3 and AI, OpenLedger is positioning itself as a transformative infrastructure: a blockchain built to monetize data, models, and AI agents transparently and equitably. As traditional AI systems centralize data and obscure attribution, OpenLedger’s model relies on on-chain Proof of Attribution and open incentives. In this in-depth article, we explore OpenLedger’s architecture, recent milestones (2025), ecosystem moves, risks, and the path ahead.
What Is OpenLedger?

OpenLedger describes itself as an “AI Blockchain” a protocol where data, models, and agents are first-class citizens.
Its core goals include:

Allowing users to create, curate, and monetize datasets (Datanets)

Enabling on-chain training, inference, and deployment of AI models

Recording attribution and contribution transparently, so data/model contributors get fair rewards

Integrating AI more deeply into Web3 tools (wallets, protocol logic, agent interfaces)

Unlocking liquidity for data and models, in a similar way we think of liquidity for tokens

OpenLedger’s infrastructure is built to support the entire lifecycle: data upload, verification, model creation, inference, rewards, governance, and staking.

Recent Milestones & Strategic Moves (2025)

Here are some of the key developments in 2025 that illustrate how OpenLedger is executing its vision:
1. $25M Commitment to AI / Web3 Startups via OpenCircle

OpenLedger committed USD 25 million to fund AI and Web3 developers via a launchpad named OpenCircle.

This capital is aimed at supporting early-stage protocols that integrate with OpenLedger’s AI blockchain

The statement by a core contributor: “AI is currently an extractive economy … OpenCircle turns that model inside out”

The funding moves signals that OpenLedger is serious about ecosystem expansion, not just token speculation
2. Binance Listing, Airdrops & Market Launch

Binance listed OPEN (the native token) starting September 8, 2025, with multiple trading pairs (OPEN/USDT, OPEN/BNB, etc.).

It also included OPEN in its HODLer Airdrops program, distributing ~10 million OPEN tokens to eligible BNB holders.

An earlier airdrop program was also active via Binance’s “Booster” campaign.

These listing events bolster liquidity and awareness, but also bring challenges of market volatility.
3. Trust Wallet Partnership & AI-Enabled Wallet UI

One of the most visible moves is OpenLedger’s collaboration with Trust Wallet to build AI-powered wallet experiences.

The aim is to enable natural language commands (e.g. “Send 10 OPEN to wallet X”) and smart transaction suggestions within the wallet interface, while preserving user approval and custody control.

The wallet UI is designed to convert user intents into on-chain actions across protocols and chains (cross-chain interoperability).

Emphasis is placed on transparency and verifiable attributions—so that AI-driven operations still leave auditable trails.

No public full launch date as of yet, but early versions or pilots are reportedly in development.
4. Testnet Launch & Technical Foundations
OpenLedger has run a testnet phase to trial its AI blockchain infrastructure, allowing users to monetize data, models, and agents in a sandbox environment.

The testnet operates on an EVM-compatible Layer 2 (e.g. optimistic rollup style), allowing for scalability while leveraging Ethereum’s ecosystem.

Key features tested include Proof of Attribution (tracking how data or model contributions influence AI outputs) and continuous contributor reward models.
5. Thought Leadership & App Use Cases

OpenLedger has published content articulating “10 Billion-Dollar Apps” that could be built on its AI blockchain, spanning domains such as on-chain knowledge engines, Web3 security agents, personalized AI assistants, and more.

These narratives help frame value propositions for developers and innovators, illustrating how OpenLedger’s primitives could power real-world AI+Web3 use cases.

Tokenomics & Economic Design

Understanding the OPEN token is key to evaluating OpenLedger’s sustainability and incentive alignment.

Token Utility & Mechanics

Gas & Fees: OPEN is used to pay transaction fees (gas), especially for AI inference, model training, and agent operations.

Staking / Agent Staking: AI agents (autonomous models) are required to stake OPEN to operate; if they underperform or act maliciously, they can be penalized (slashing).

Attribution Rewards: Contributors (data providers, model developers) receive rewards in OPEN proportional to their influence or usage in the model outputs.

Bridge & Interoperability: OPEN is bridgeable between OpenLedger (its chain) and Ethereum / other chains via an OpenLedger Bridge.
Token Distribution & Vesting Risks

A portion of OPEN is being distributed via airdrops and public listings; the total supply is cited as 1 billion tokens.

Some allocations will unlock over time; the schedule and velocity of these unlocks will be critical to monitor for market pressure. (While explicit full vesting tables aren’t publicly detailed in sources, unlocked supply is a systemic risk in new projects.)
Overall, the design attempts to align incentives across multiple classes: data, compute, model, staking, governance.
Key Technical & Strategic Challenges

While OpenLedger’s vision is compelling, several challenges lie ahead:
1. Scalability & Latency for AI Workloads
Running AI models and inference on-chain or via constrained environments requires high throughput and low latency—difficult to deliver at scale with current blockchain tech.
2. Quality & Curation of Data / Models
Incentives must prevent spam or low-quality contributions; there must be robust verification, filtering, reputation, and governance mechanisms.
3. Attribution Complexity
Quantifying the precise influence of a data point or contribution to AI output is nontrivial especially when many data points interact nonlinearly.
4. Adoption & Network Effects
For OpenLedger to succeed, it needs not only contributors but also users, developers, AI model builders, and integrations with existing Web3 infrastructure.
5. Economic & Token Pressure
Token unlocks, volatility, speculation, and demand mismatch can lead to sell pressure that undermines incentive alignment.
6. Security & Model Abuse Risks
Model poisoning, adversarial attacks, and malicious agents might try to skew rewards or outputs. A robust security and governance framework is essential.
7. User Experience & Friction
Integrating AI into wallets and Web3 tools is only useful if usability is smooth; users should not have to deal with complexity, gas burdens, or opaque mechanisms.
What to Watch Next & Future Prospects
The AI wallet interface in Trust Wallet: how intuitive, reliable, and safe it becomes
Developer uptake: how many DApps, models, and contributors actively build on OpenLedger
Token metrics: unlock schedules, circulating supply, staking data, on-chain usage
Performance of the attribution engine: how credibly it can assign credit
Security events, audits, and robustness of the AI-BC infrastructure
Expansion of the funding / accelerator arm (OpenCircle) and new funded projects
Cross-chain interoperability: how well OPEN and models integrate with other blockchains@OpenLedger #OpenLedger $OPEN

Introduction
In 2025, the decentralized finance (DeFi) landscape is being reshaped by protocols that go beyond mere bridges or aggregators. Among them, Mitosis is emerging as a foundational infrastructure for programmable liquidity and capital efficiency across multiple blockchains. In this article, we take a deep dive into Mitosis’s core architecture, its recent milestones, strategic partnerships, challenges, and outlook.

What Is Mitosis? Core Concepts & Vision

At its heart, Mitosis is an ecosystem designed to tackle liquidity fragmentation across chains. Traditional DeFi often sees liquidity scattered across networks, isolated pools, and short-term yield farming. Mitosis presents a different model based on the following pillars:

1. Ecosystem-Owned Liquidity (EOL): Instead of relying exclusively on external, mercenary liquidity providers, Mitosis holds and controls its own liquidity reserves. This provides baseline stability and alignment of incentives.

2. miAssets / maAssets: These are tokenized, programmable representations of liquidity positions. Users deposit into vaults, receive a derivative token (miAsset / maAsset), which can then be used in yield strategies or cross-chain deployments.

3. Cross-chain Vaults & Intent-Based Execution: Mitosis maintains vaults across chains and uses intent-based execution logic to move funds where yield is optimal, without user micromanagement.

4. Protocol as Liquidity-as-a-Service (LaaS): Over time, Mitosis envisions offering liquidity services to other chains or applications—essentially, renting or providing liquidity infrastructure as a service.

5. Interoperability & Modular Infrastructure: Mitosis is built to bridge and coordinate liquidity across chains, enabling unified capital movement.

This architecture aims to turn Mitosis into more than a protocol—it aims to make it a backbone for multi-chain DeFi.

Recent Milestones & Updates (2025)

CloberDEX + Mitosis Integration: On-chain Limit Order Book

One of the standout developments in 2025 is the integration between CloberDEX and Mitosis, enabling a fully on-chain, composable limit order book (CLOB) model via the LOBSTER algorithm.

This is significant because limit order books (asks, bids, matching) have long been considered too gas-inefficient for on-chain DeFi. Clober + Mitosis push that boundary, reportedly allowing gas costs of $2–3 per trade even on mainnet.

This marks Mitosis’s movement beyond just liquidity: it becomes an enabler of advanced trading primitives.

Airdrop & IDO Phases

The MITO Genesis Airdrop claim became active, with deadlines set (e.g. until September 11, 2025 at 1 PM UTC) for eligible users.

Mitosis conducted phases of its Matrix Vault & Straddle Vault campaigns; the “Matrix Straddle Vault” final phase launched in April 2025.

Mitosis ran a Binance Wallet IDO via PancakeSwap starting August 28, 2025, capped by BNB contributions and requiring “Alpha Points” for participation.

Listings were scheduled: MITO token began getting trading pairs (e.g. MITO/USDT) around April 2025.

These phases show the tokenomics and distribution moving toward public access and liquidity.

Ecosystem & Partnerships

OKX Wallet integration: OKX Wallet now supports Mitosis, meaning users can natively hold and use MITO and associated assets in OKX’s wallet environment.

Mitosis’s roadmap anticipates evolving into a multi-chain communication hub by 2025, supporting dApps and scaling cross-chain infrastructure.

Mitosis is increasingly featured in industry analyses as a modular, cross-chain infrastructure project to watch.

Ecosystem Growth & TVL

The liquid restaking space is consolidating, and in comparison to peers, Mitosis ranked 10ᵗʰ by TVL (~$34 million) at one snapshot.

Mitosis’s blog provides periodic community updates (e.g. May–July 2025) that track progress, new launches, and roadmap adjustments.
Strategic & Technical Themes

From Bridge to Full Service Liquidity Provider

Originally viewed as a cross-chain bridge or liquidity routing protocol, Mitosis is pushing toward being a full liquidity infrastructure—not just for users, but for chains and dApps themselves (LaaS).

This shift implies Mitosis will not merely facilitate movement of assets but take a more active role, managing capital allocation, deploying liquidity where needed, and earning fees from partner integration.

Deepening Integration with Restaking / EigenLayer

Mitosis’s security and cross-chain message verification strategy increasingly leverages EigenLayer and restaking primitives. The synergy between Mitosis and EigenLayer has been discussed as more than a consumer-supplier relationship—it could evolve into a bidirectional plus composable relationship.

Mitosis could itself offer AVS (Actively Validated Services) for things like liquidity state validation or cross-chain execution logic, thereby attracting ETH restakers.

Additionally, Mitosis can integrate with other EigenLayer-based services—data availability, decentralized sequencers, oracles—to build a modular and composable backend.

Architectural Complexity & Risks

Operating a multi-chain vault network and intent-based cross-chain execution is nontrivial. Some challenges include:

Transaction latency / sequencing across chains

Security risks in cross-chain bridges, message passing, smart contract vulnerabilities

Capital inefficiencies or misallocations if yield assumptions change

User experience complexity: masking complexity for users is critical

Regulatory & compliance uncertainty in many jurisdictions

As of now, Mitosis is in the growth and deployment phase; the real test will come when network usage, security, and robustness are stress-tested by real users and volatile markets.

What to Watch Next / Roadmap Highlights

Mainnet / production deployment: The shift from testnet / pilot to full mainnet usage

More integrations & dApp partnerships: Expanding the ecosystem using Mitosis liquidity

On-chain trading innovations: Following up on the CloberDEX CLOB, more trading primitives may be built

Growing TVL and capital inflows to validate the EOL model

Security audits, upgrades, and formal verification to ensure trust

Governance & DAO mechanics: how the community shapes protocol decisions

Cross-chain scaling: as new chains emerge, Mitosis must adapt to integrate them smoothly
Conclusion
Mitosis is positioning itself as a next-generation DeFi infrastructure layer: one that doesn’t just move assets, but owns, programs, and optimizes liquidity. Its recent developments—from on-chain limit order book integration, liquidity-as-a-service ambitions, to token distributions—signal serious momentum.
However, the path is complex: cross-chain execution, security, capital allocation, and adoption hurdles remain. If Mitosis can sc
ale reliably and attract sufficient capital, it could become a foundational building block for the next era of modular, composable DeFi.@Mitosis Official #Mitosis $MITO

@BounceBit #BounceBitPrime $BB
Introduction
WalletConnect has long been a foundational middleware in the Web3 ecosystem — the protocol that lets users link their wallets securely to decentralized apps (dApps) across chains. What began as a simple connector has evolved into a full network with its own token, governance, and ambitions to become the universal connectivity layer in Web3. In this article, we chronicle the evolution of WalletConnect, explore its latest architecture and token model, examine its strengths and challenges, and consider its role in the future of Web3.

What Is WalletConnect? A Brief History

WalletConnect was introduced around 2018 as an open-source protocol that enables a secure, encrypted communication channel between a user’s wallet and a dApp, without exposing private keys.

Key features:

QR / Deep link connection: On a desktop, a dApp shows a QR code; scanning it with the user’s mobile wallet app establishes a session. On mobile, a deep link instead may open the wallet.

Chain-agnostic: WalletConnect works across many blockchains (Ethereum, BNB chain, Polygon, etc.), giving developers a unified method to support many chains.

Encrypted messaging and session management: After connection, signing requests, transaction requests, and messages are relayed securely. The private keys never leave the wallet app.

Over time, it became a de facto standard: many wallets and dApps integrate with WalletConnect, because it dramatically reduces friction for users and saves development time (you integrate once, support many wallets).

The New Phase: WalletConnect Network & WCT Token

WalletConnect has recently transitioned from a protocol to a more decentralized infrastructure, introducing the WalletConnect Network and its native token, WCT.

Key Attributes & Updates

WCT Token
WCT powers staking, governance, and incentives in the network. By staking WCT, participants help secure the network, run nodes, and get rewards.
As of May 2025, over 106 million WCT tokens had been staked, with 142,000+ holders participating.
The network offers staking rewards, sometimes up to 22% APY, making it attractive to holders.

Ecosystem Growth
In the Ecosystem Edit Fifth Edition (May 2025), WalletConnect reported strong adoption numbers:

~292 million cumulative connections

~45.2 million unique wallets

~62.4K dApps integrated
This growth reflects sustained usage across wallets and applications.
Also, the Sui blockchain was integrated into the WalletConnect Network (with Fireblocks), expanding the chain interoperability further.

Smart Sessions & UX Innovations
WalletConnect is developing “Smart Sessions,” a feature meant to reduce friction by maintaining session permission continuity: users may not need to repeatedly approve wallet connection prompts or sign every minor action during a session.
These sessions are expected to be more context-aware and tied to the WCT token’s permission mechanics.

Node Operators & Decentralized Messaging
Instead of relying on centralized relay servers, the WalletConnect Network distributes message relaying across node operators, who stake and maintain infrastructure. This decentralization is core to making the network resilient and open.
WCT staking supports these node operations, aligning economic incentives for reliability.

Certified Wallets & WalletGuide
To improve security and trust, WalletConnect launched WalletConnect Certified and WalletGuide directories or standards for wallets that meet UX, feature, and security criteria.
Strengths & Competitive Moats

1. Widespread adoption & network effects
With hundreds of wallets and tens of thousands of dApps integrated, WalletConnect has deep roots in the ecosystem.

2. Security by design
Because private keys always stay in the wallet, and connections are encrypted, the attack surface is limited.

3. Chain-agnostic connectivity
Developers can integrate once yet support many chains and wallets. This lowers overhead and increases compatibility.
4. Decentralized architecture & token alignment
WCT helps decentralize messaging infrastructure and governance, reducing reliance on central relays.
5. UX improvements with Smart Sessions
Reducing repetitive approvals and making connections smoother helps user retention and lowers friction barriers.

Challenges, Risks & Open Questions

Competition & alternative protocols
Other standards or connection methods may emerge, challenging WalletConnect’s dominance. Some blockchains might push native wallet-to-dApp solutions.

Scalability and latency
As the number of connections, messages, and shifts grows, maintaining low latency and high reliability is technically challenging for the node operators.

Governance & centralization risk
If node operators or stakeholders with large WCT holdings dominate decisions, the network might centralize.

Regulation & compliance pressure
Because WalletConnect sits at the interface between wallets and dApps, it may attract regulatory scrutiny (e.g., KYC/AML, liability for malicious dApps).

Token economics sustainability
Rewarding node operators and stakers must be balanced so that network use and token value support each other over time.

Security vulnerabilities
Despite encryption, bugs in relays, session management, or wallet integrations could expose users.
Outlook & What to Watch

Volume of Total Value Facilitated (TVF) — how much value flows through WalletConnect per time period.

Growth in node operators & their geographic / stake distribution (for decentralization).

Uptake of Smart Sessions and how seamlessly they work in practice.

Listing and liquidity of WCT token, staking participation, governance proposals.

Integration of new chains and protocols (e.g. Sui, others).
Security audits, exploits, and how quickly they are handled.
If WalletConnect continues evolving with decentralization, strong UX, and robust t
oken incentives, it may solidify its position as the default connectivity layer in Web3 not just a tool, but infrastructure.