Track market-moving stories before they get noisy

PANews reported on December 9th that Horizen, a privacy project founded in 2017, has officially transitioned to a Layer 3 mainnet on Base, aiming to provide "compliant optional privacy" features. The project has abandoned its old mainnet and EON sidechain and relaunched the ZEN token. Horizen plans to invest 100 million ZEN over five years to support the development of privacy-related applications, including those in finance, gaming, and social scenarios. The new architecture supports customized modules by jurisdiction, enabling compliant disclosure. ZEN is now traded on the Base chain and is supported by exchanges such as Binance and Coinbase.

Bithumb was fined for sharing user data overseas without consent.

South Korean regulatory authorities have ordered cryptocurrency exchange Bithumb to pay a 210 million won (approximately $136,000) fine for sharing user personal information with overseas platforms without user consent. According to an announcement released Thursday by South Korea’s Personal Information Protection Commission (PIPC), the relevant user data exposure occurred between September and November 2025. At that time, Bithumb transferred user information to overseas platforms while sharing its USDT market order book data. The PIPC also noted that when assisting users with asset transfers to 13 overseas exchanges, Bithumb failed to obtain full and sufficient user consent before sharing personal details including names, wallet addresses, and dates of birth. For the two violations, the PIPC not only imposed the fine but also ordered Bithumb to rectify its processes and management systems related to cross-border transmission of user information.

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Analyst: SK Hynix’s US listing and fund-raising could trigger a valuation re-rating.

According to Bloomberg, SK Hynix is set to issue American Depositary Receipts (ADRs) on the Nasdaq on July 10. The listing aims to raise nearly $30 billion, making it one of the largest ADR issuances in history. Market participants widely believe the move will significantly expand its global investor base and may drive a valuation re-rating. Multiple asset management firms project that if its valuation converges with Micron Technology’s, its share price could rise by 30% over the next year. One fund manager noted that SK Hynix should trade at a valuation at least on par with Micron, as demand for memory chips is likely to outpace supply for years to come. The listing comes amid an unusually strong boom in the memory chip sector. Shares of Micron, SK Hynix, and Samsung Electronics have all surged over 200% this year, marking their best annual performance in decades. Demand for High Bandwidth Memory (HBM) from AI servers is widely seen as the driver of a structural "memory supercycle".

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Jefferies: Samsung is likely to follow SK Hynix’s example to list in the US via ADRs.

Jeff Kim, Head of Research at Jefferies, said Samsung is likely to follow SK Hynix in listing on the U.S. market via American Depositary Receipts (ADRs), which will boost the share price of the South Korean chipmaker whose valuation lags behind Micron. "Chip stocks are at a turning point. ADRs will serve as an important catalyst to drive their valuations," he added.

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UBS and TD Cowen sharply raise Arm’s target price, betting on a revaluation of Arm’s AI data center CPU value.

Arm’s stock price pulled back this week alongside the high-valuation AI sector, though some Wall Street analysts say the correction does not alter the company’s long-term standing in AI data centers. UBS sharply raised Arm’s price target from $260 to $470, retaining its Buy rating; TD Cowen lifted its target from $265 to $475, also keeping a Buy recommendation. Both firms share the view that as agentic AI evolves, CPUs could gain greater importance in data center architectures, rather than GPUs continuing to monopolize the investment narrative. TD Cowen believes that over the long term, CPUs could hold a more strategic position in certain AI workloads. UBS, meanwhile, emphasizes that the real debate in the market centers on the revenue potential of Arm’s self-developed or independent CPU business. The bank projects Arm’s CPU-related revenue could reach around $14 billion by 2030, though the company itself has stated this business will not have a material impact on its finances until fiscal 2028. Arm’s strengths lie in low latency and energy efficiency—metrics that major cloud providers are increasingly prioritizing as they expand AI infrastructure. Even with its stock pulling back from recent highs in the short term, analysts still view Arm as one of the key beneficiaries of the server CPU upgrade cycle.

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Crypto whale who profited over $23.77 million from BAT ICO liquidates 27,586 ETH

According to monitoring by Yu Jing, a whale that earned $23.77 million from participating in the BAT ICO sold 15,000 ETH (valued at roughly $24.29 million) two hours ago. The whale has now fully liquidated all 27,586 ETH it received from selling 35 million BAT on-chain over the past day and a half, converting the proceeds into 44.836 million USDS at an average selling price of $1,625.

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Sources: Iraqi officials once considered withdrawing from OPEC, but current plans are to remain a member and pursue a higher quota.

A senior Iraqi oil ministry official said that if OPEC quotas are not significantly increased, Iraq will be forced to consider all available options. Sources said Iraqi officials had considered withdrawing from OPEC, but the current plan is to remain a member and push for higher quotas. (Jinshi)

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2025 was a redefining year for Horizen.

In 2025, Horizen made the decisions that define long-term relevance. The team clarified what privacy must mean in an onchain world, sharpened who Horizen is built for, and aligned the network around real users, real businesses, and real developers - not abstract ideals. These choices shaped everything that followed, from product direction to ecosystem design, and set the foundation for sustainable growth.

The results of that work became visible toward the end of the year, with milestones that mark the beginning of Horizen’s next chapter.

A major emphasis was placed on research and discovery. Throughout the year, the team developed a structured understanding of market dynamics, emerging privacy technologies, regulatory realities, competitive approaches, developer needs, and real-world user needs. This targeted work was designed to answer one question:

Where can Horizen win, and why?

That research-driven approach created clarity and alignment across product, engineering, and ecosystem growth. It sharpened Horizen’s positioning around practical and regulatory-compliant privacy, and clarified how privacy must function inside open ecosystems like Ethereum and Base, not outside of them.

Several initiatives that will define Horizen’s future were born from this approach, including initial product designs like Horizen Confidential Compute Environment (HCCE). 

By choosing to prepare deliberately, Horizen entered mainnet not as a project searching for relevance, but as a network launching with purpose.

One of the most significant milestones in Horizen’s history took place in 2025 with the successful migration of the ZEN token to Base, accompanied by the introduction of a new tokenomics model designed to support Horizen’s next phase of growth.

This migration marked a strategic shift in how Horizen participates in the broader onchain ecosystem. By migrating ZEN to an ERC-20 asset on Base, Horizen moved from operating as an isolated Layer 1 to becoming a first-class participant in the Ethereum ecosystem. The migration unlocked immediate access to deep liquidity, native DeFi integrations, and composability with the tools, protocols, and capital that developers already use. More importantly, it removed friction for builders, creating a faster and more credible path from idea to live application. 

Just as importantly, the transition was executed with ZEN holders front and center. Horizen delivered a seamless, user-friendly claiming experience that enabled holders to move their assets safely to Base with confidence.

Throughout the migration, the team worked closely with major exchanges to ensure uninterrupted access to ZEN, preserving liquidity and minimizing disruption for the community. This combination of thoughtful execution and broad exchange support ensured continuity, accessibility, and trust at a critical moment of change.

Together, these efforts laid the economic and infrastructural foundation for Horizen’s next phase of ecosystem growth, one that is fully embedded in the Ethereum and Base environments, without leaving its community behind.

That foundation was completed with the launch of the new Horizen chain at the end of the year. With this launch, Horizen finalized its transition to a fully EVM-native, privacy-enabled Layer 3 blockchain on Base. 

By launching on Base, Horizen positioned privacy where it matters most: alongside deep liquidity, mature tooling, and a rapidly growing developer and user base. The new chain will enable a practical and compliance-friendly path to private onchain activity, allowing users and businesses to participate without exposing sensitive strategies, positions, or data. Rather than treating privacy as an add-on or an edge case, Horizen established it as a foundational capability that works natively within real onchain workflows.  

The launch also introduced the first cohort of ecosystem applications and infrastructure partners, reinforcing Horizen’s focus on execution, composability, and ecosystem readiness from day one.

We’re live!

Join us as we celebrate Horizen’s mainnet launch on @Base. Tune in to hear from special guests and core team members as they share insights on what’s ahead.

x.com/i/broadcasts/1…

Most importantly, the mainnet launch marked a clear transition in Horizen’s trajectory. The network moved from preparation to participation, from laying foundations to enabling real usage. With the core infrastructure live, Horizen is now positioned to shift its focus toward growing adoption, supporting builders, expanding the ecosystem, and delivering the next wave of privacy-enhancing capabilities, including staking and confidential compute.

In parallel with these significant infrastructure milestones, Horizen launched the Thrive Builder Program in 2025, establishing Horizen’s long-term commitment to ecosystem growth.

First announcements from our Horizen x @thriveprotocol builder funding program drop next week

These aren’t just ideas - they’re applications already building on our infrastructure

The privacy-first builders we’ve been waiting for are here.

Backed by a community-approved allocation of one million ZEN over five years, the program established a structured path for builders to ship privacy-preserving applications that drive real ZEN usage.

The program introduced milestone-based funding accountability and transparent oversight while prioritizing high-impact use cases across DeFi AI gaming and governance. 

Meet the first builders funded by the Horizen x @ThriveProtocol Builder Funding Program:

- @LighterIM - ZK-enabled DeOTC protocol for private, compliant OTC trading
- @datahubz - Automated compliance workflows (SOC 2, ISO 27001, HIPAA) powered by Hubz
- @tachyonpe -

Together, the program and the new Horizen chain create a reinforcing loop: infrastructure designed for privacy-aligned applications, paired with a funding mechanism built to bring them to life. The program is already supporting a growing set of live and in-development applications, including:

Zendex as a private DEX designed to stop MEV bots from front running trades

Tachyon enabling cross chain transfers that break the surveillance trail

DataHubz delivering enterprise compliance through cryptographic proof instead of trust based audits

Nyra bringing private perpetuals trading onchain

Obscura powering social trading with verifiable PnL

Lighter.IM enabling ZKP based on and off ramps

AdPriva building verifiable ad engagement with zero knowledge proofs

Gamblor introducing provably fair gaming with privacy built into every hand

Learn more about the program

Further Supporting Builders and the ZK EcosystemThroughout 2025, Horizen hosted and supported a select number of workshops and hackathon-style events, in collaboration with the ecosystem partners such as zkVerify. These efforts focused on education, experimentation, and early developer engagement.

Notable activations included:

Fhenix

ETHDenver participation through SporkDAO

SocialConnect New Delhi

0xCairo

Berlin Hackathon

The Horizen community voted in on 7 ZenIPs (ZEN Improvement Proposals) in 2025, including:

ZenIP 42406 Addendum: Proposing a Bold Leap Forward to Base for $ZEN and EON – 99.7% in favor

ZenIP 42407 Addendum: Horizen 2.0 Tokenomics Proposal – 99.4% in favor

ZenIP 42410 Horizen Developer Grants Program - Thrive Partnership – 100% in favor

ZenIP 42411: A Treasury Management Framework for Horizen DAO – 100% in favor

Exchange Listings and Marketing Allocation – 99.2% in favor

The community also voted to elect new Special Council members to maintain strong governance and continuity throughout the year.

March Cohort Special Council Election

September Cohort Special Council Election

Check out all ZEP IPs and their details.

With the core network live and ecosystem taking shape, Horizen enters its next phase focused on deepening utility, expanding adoption, and delivering privacy capabilities that scales with real-world demand. 

A major milestone on the near-term horizons is the release of the Horizen Confidential Compute Environment (HCCE). Designed to make privacy-preserving computation accessible without complex cryptography, HCCE introduces a powerful new execution layer that enables developers to run sensitive logic securely and verifiably onchain. This will unlock a broad class of applications, from institutional workflows to privacy-sensitive business use cases. This will mark a significant step forward in making privacy practical at scale. Read the HCCE whitepaper to learn more.  

ZEN staking will be relaunched in Q1 2026, re-establishing a crucial participation and incentive mechanism for the Horizen community. 

The ZEN staking is designed to strengthen network security, reward long-term participation, and reinforce ZEN’s role as the economic backbone of the Horizen ecosystem. This will turn passive holding to active engagement, tying network growth more closely to community involvement. 

At the same time, the Horizen ecosystem will continue to expand. More new applications are preparing to go live across DeFi, business infrastructure, gaming, and emerging onchain categories. As more teams deploy and iterate, Horizon’s ecosystem will move from early formation to sustained momentum, driven by real usage and real demand for privacy-enabled execution. 

Together, these developments signal a clear shift in Horizen’s trajectory. With infrastructure in place, aligned incentives coming online, and a growing pipeline of applications, Horizen is positioned to turn its vision of practical, compliant privacy into durable, onchain reality.

Stay tuned for what comes next.

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Every day, millions of dollars are silently extracted from DeFi traders. Not through hacks or exploits, but through something far more insidious: the public mempool. MEV bots, front-runners, and sandwich attacks have turned transparency into a tax on every trade. But what if there was a way to trade in silence?

The Horizen x Thrive Builder Funding Program is now in full swing. With 16 approved projects in the pipeline and more under evaluation, we're launching a Project Showcase to give the community a closer look at what's being built on Horizen's privacy-first infrastructure.

For our first showcase, we're featuring one of the most anticipated projects: ZENDEX, a privacy-preserving decentralized exchange that's turning heads with its ambitious mission to become the "Private Liquidity Hub" for the entire Ethereum ecosystem.

To better understand their vision and what they are building, we sat down with the ZENDEX team.

1) In simple terms, what is ZENDEX, why does it exist, and what specific problems in decentralized trading are you trying to solve?

ZENDEX is a high performance trade execution layer built on a Horizen Chain. ZENDEX exists to remove the "Transparency Tax" that extracts millions of dollars from traders everyday in order to benefit MEV bots, front-running schema, and increases slippage costs. ZENDEX ensures that Horizen enabled shielded execution environments disarms public predators from benefiting from intent leakages while delivering measurable value added trading enhancements through privacy technologies.

2) ZENDEX positions itself as a privacy-first decentralized exchange. For a user making their first trade today, what is the most noticeable difference compared to trading on a typical public DEX?

The most noticeable difference is the "Silence." On a typical DEX, you confirm a trade and watch it sit in a public mempool where bots can attack it; on ZENDEX, your order is matched privately on the Horizen Blockchain. With ZENDEX, you get CEX-like execution speed and "Invisible" limit orders, meaning the market doesn't move against you the moment you place a large trade.

3) What message would you like to share directly with the Horizen community, including builders, validators, and supporters, about ZENDEX's mission and progress so far?

Our mission is to turn Horizen into the "Private Liquidity Hub" for the entire Ethereum ecosystem. We've successfully moved from a hackathon concept to an execution powerhouse by turning every trade into a ZEN enhancing event. We are proving that Horizen's zero-knowledge tech isn't just for "hiding" data, it is primed for building the most efficient and fair financial markets in the world.

4) Many exchanges are fully public and transparent by default. How is ZENDEX able to implement hidden order books and shielded trades from a technical standpoint, and what impact do these features have on user experience and market integrity?

Technically, we utilize Zero-Knowledge Proofs (ZKP) and Trusted Execution Environments (TEEs) on Horizen Chain. This allows the exchange to "verify" that a match is valid without "revealing" the details of the orders to the public blockchain until after settlement. This creates a "Dark Pool" effect that protects market integrity by preventing predatory front-running and allowing institutional-sized trades to execute without causing massive price volatility.

This is a critical distinction. Traditional DeFi's radical transparency was initially seen as a feature, but it's increasingly clear that full visibility creates attack vectors that sophisticated actors exploit at retail's expense.

5) Comparing ZENDEX to other decentralized exchanges, both the typical AMM platforms and the newer privacy focused exchanges, where does ZENDEX stand out in terms of performance, privacy, and real world usability?

ZENDEX stands out because it doesn't force a trade-off. Typical AMMs are usable but public; most "privacy DEXs" are private but slow or suffer from low liquidity. ZENDEX uses a Hybrid HCLOB/AMM engine that offers the performance of a CEX, the privacy of a ZK-chain, and the ability to route to external liquidity (like Aerodrome) to ensure you always get the best price.

6) What has been the most significant technical or conceptual challenge you've faced so far while building ZENDEX, and how did you and your team overcome it?

The biggest challenge was the "ZEN Converter", mechanically converting multi-asset fees into a single deflationary sink for ZEN without causing high slippage. We overcame this by building a specialized ZEN engine that strategically converts protocol fees, ensuring that our tokenomics constantly strengthens ZEN.

Worth noting: this design creates direct alignment between ZENDEX usage and ZEN value accrual. Every trade contributes to deflationary pressure on the token.

7) Who are the people behind ZENDEX, and what are your team members' backgrounds? How did you all come together to build a privacy centric exchange on Horizen?

ZENDEX was born by a hackathon tested builders guild of ZK enthusiasts and programmers. We were able to solidify a number of our ideas thanks to the Horizen x Thrive program, evolving our current vision for a full-scale institutional grade execution layer driven by the belief that the "Mempool is a bug, not a feature."

8) In traditional finance and centralized exchanges (CEXs), order books and even private or hidden trades are common. What insights or surprises have you discovered about bringing similar privacy features into a decentralized exchange while building ZENDEX?

The biggest surprise was realizing that "Privacy" actually makes the market more efficient. In TradFi, dark pools are seen as exclusive; in DeFi, we believe that when we hide retail trades, we will attract more liquidity because so many interested parties prefer quoting tighter spreads knowing that they will not be picked off by arbitrage bots.

This inverts the common narrative. Privacy isn't a concession, it's a liquidity magnet.

9) What are the biggest misconceptions about privacy in DeFi, and how does ZENDEX address them, especially for traders who might be hesitant about trading privately?

The biggest misconception is that privacy is for "bad actors." In reality, privacy is for confidentiality. Professional traders need it to protect their strategies, and retail needs it to avoid being taxed by bots.

10) Where does ZENDEX stand today in terms of product readiness and public availability, and what is the next major milestone or launch phase you're targeting?

We are currently in the Milestone One (Fortress) phase, with our internal shielded HCLOB (Hidden Central Limit Order Book) and AMM live on the Horizen L3. Our next major milestone is Milestone Two (The Orchestrator), which will introduce the External Router. This will allow ZENDEX to pull liquidity from across the Base then EVM ecosystem while still keeping the user's identity and intent shielded.

11) Looking 12 months ahead, what specific indicators would tell you that ZENDEX is on the right track, in terms of users, liquidity, ecosystem integrations, or actual trading behavior?

Our key indicator is the ZEN Burn Rate. If we see a consistent increase in the amount of ZEN being burned by the protocol, it means we are successfully capturing "Flow." Additionally, we look at "Execution Delta", the percentage of trades filled better on ZENDEX than they would have been on a public AMM.

12) Why did you choose to build ZENDEX within the Horizen ecosystem, was the support of the Horizen x Thrive program a factor in that decision, and how have Horizen's privacy features and appchain technology enabled or accelerated your development?

We chose Horizen because it's the only ecosystem that treats privacy as a first-class citizen. The Horizen x Thrive program was the catalyst that allowed us to scale, but the real "secret sauce" is Horizen architecture. It allowed us to build privately and settle efficiently on BASE.

13) If privacy-preserving trading becomes mainstream and ZENDEX plays a meaningful role in that shift, how do you think trader behavior and market dynamics will change compared to today?

Trading will shift from "Bot-Avoiding" to "Strategy-First." Today, traders spend half their energy worrying about how their order will be exploited. In a ZENDEX led future, traders will focus entirely on their price targets. Market volatility will decrease because large orders will no longer trigger "Cascade Liquidation" bots that react to public mempool signals.

Follow ZENDEX

🌐: https://www.zendex.fi/

𝕏: @zendexfi

Stay tuned for the next Project Showcase as we continue to highlight the teams building on Horizen through the Thrive Builder Funding Program.

Compliance was supposed to protect organizations and build trust. Instead, it became a paperwork nightmare, a frantic scramble of spreadsheets, screenshots, and last minute audit prep that consumes resources while delivering little real assurance. For SMBs (Small, Medium, Businesses) without dedicated compliance teams, the burden is even worse: abstract framework requirements, evidence scattered across dozens of tools, and verification that only happens under audit pressure, months after the fact.

The industry's answer? More consultants, more checklists, more documents that sit in folders until someone asks for them. Meanwhile, actual security and privacy practices drift out of alignment with what's written on paper, and nobody knows until an auditor finds the gap.

But what if compliance could be rebuilt as a continuous, verifiable process? What if evidence integrity could be proven cryptographically, not assumed on trust?

The Horizen x Thrive Builder Funding Program continues to spotlight the innovative teams building on Horizen's privacy first infrastructure. With 16 approved projects in the pipeline and more under evaluation, we're bringing the community closer to the builders shaping the future of confidential, verifiable applications.

For our fourth showcase, we're featuring DataHubz, a team building compliance infrastructure from the ground up. Their flagship platform Hubz turns compliance from a manual, document heavy exercise into a living system of record, with evidence integrity anchored on the Horizen blockchain.

1) How would you describe DataHubz and its flagship platform Hubz to someone unfamiliar with compliance automation?

DataHubz builds compliance infrastructure, not just compliance software.

Our flagship platform, Hubz, helps organizations turn compliance from a manual, document heavy exercise into a continuous, structured, and verifiable operational process.

In simple terms: Hubz helps teams understand what a framework actually requires, guides them step by step, automatically gathers and organizes evidence, and proves, cryptographically, that the evidence hasn't been altered. Instead of chasing spreadsheets and screenshots, teams get a living system of record for compliance.

2) What is the single biggest compliance pain point Hubz solves for SMBs?

The biggest pain point is the gap between what frameworks ask for and what organizations actually do day to day.

SMBs don't fail at compliance because they don't care. They fail because requirements are abstract, evidence is scattered across tools, and verification happens months later under audit pressure. Hubz closes that gap by mapping real operational signals and documents directly to controls, in real time, so compliance becomes part of normal work instead of a separate, painful project.

3) How does Hubz orchestrate documents, evidence, controls, and audits from start to audit ready?

Hubz follows a clear lifecycle:

Framework aware roadmaps break requirements into concrete, actionable steps.

Centralized evidence vault ingests documents, logs, configurations, and artifacts.

Control to evidence mapping links every artifact to specific requirements.

Continuous monitoring and validation track drift and missing evidence.

Audit ready views give assessors a structured, time ordered trail of proof.

The result is not just "audit prep," but a defensible compliance posture at any point in time.

4) How does Verifiable Compliance Evidence (VCE) anchored on Horizen change trust assumptions?

Traditional audit trails rely on trust: trust that evidence wasn't modified, backdated, or selectively presented.

With Verifiable Compliance Evidence, Hubz cryptographically fingerprints evidence and anchors those fingerprints on the Horizen blockchain. The evidence itself stays private, but its integrity becomes mathematically provable.

For auditors, customers, and regulators, this shifts trust from process based ("we trust how you prepared this") to cryptographic ("we can independently verify this was unchanged").

5) What real time insights or alerts does Hubz provide?

Hubz can alert teams when:

Required evidence expires or goes stale

Controls drift from their expected state

New risks appear due to configuration or policy changes

Framework coverage drops below a defined threshold

These alerts help organizations stay compliant continuously, instead of scrambling once or twice a year for audits.

6) What makes Hubz accessible to SMBs without compliance teams?

We designed Hubz assuming no dedicated compliance department:

Plain language guidance instead of regulatory jargon

Opinionated workflows that reduce decision fatigue

Automation where possible, human checkpoints where necessary

Interfaces built for operators and founders, not auditors

The goal is to let small teams act like large, well resourced compliance organizations, without the overhead.

7) Can you give a concrete example of AI catching a risk or insight?

One example is evidence intelligence: Hubz uses AI to analyze uploaded documents and configurations and flag mismatches between what a policy claims and what the evidence actually shows.

In practice, this has surfaced cases where policies looked compliant on paper, but operational artifacts told a different story, something that would likely be missed until an external audit.

8) What is the role of context matched AI models in Hubz?

Compliance is highly contextual. A control means something different in CMMC than in GDPR or SOC 2.

Hubz uses context matched models that are constrained by:

The specific framework

The control intent

The type of evidence being analyzed

This reduces hallucination risk and keeps outputs aligned with regulatory reality rather than generic AI responses.

9) How do you balance privacy and transparency when anchoring evidence onchain?

Only cryptographic hashes and metadata are anchored onchain, never raw documents or sensitive content.

This means:

Evidence remains private and access controlled

Integrity and timestamping are publicly verifiable

Organizations maintain full data sovereignty

It's transparency without exposure.

10) What has been the hardest technical or product challenge?

The hardest challenge has been building systems that are rigorous enough for auditors but usable by non experts.

That meant combining formal compliance logic, cryptography, AI reasoning, and UX design into a single coherent experience without overwhelming users or oversimplifying requirements.

11) Who is the team behind DataHubz?

DataHubz is built by a team with deep technical and regulatory expertise, including a PhD in Computer Science with a background in privacy enhancing technologies, alongside professionals with decades of experience in data systems, analytics, and compliance operations.

That blend is intentional: Hubz sits at the intersection of theory, engineering, and real world audits.

12) Why did you choose the Horizen ecosystem?

Horizen stood out for three reasons:

Strong support for privacy preserving architectures

Flexible infrastructure for anchoring proofs without exposing data

A philosophy aligned with decentralization, verifiability, and trust minimization

Those capabilities map directly to what compliance should become: provable, privacy first, and independently verifiable.

13) What does success look like in 12 to 18 months?

Success means:

Hundreds of organizations using Hubz as their system of record for compliance

Support for multiple major frameworks across security and privacy

Deep partnerships with auditors, platforms, and ecosystems

Compliance shifting from "audit season" to always on assurance

Ultimately, success is when compliance stops being a tax and becomes a strategic asset.

Keep up with the latest updates from DataHubz:

🌐 https://www.datahubz.com/

𝕏 https://x.com/datahubz

Stay tuned for the next Project Showcase as we continue to highlight the teams building on Horizen through the Thrive Builder Funding Program.

ZEN: Bringing Private Cross-Chain Execution to Horizen with Tachyon

[안내] 이오스트(IOST) 에어드랍 8차 지급 안내

[디지털 자산] 아이오에스티(IOST) 보유 회원 대상 아이오에스티(IOST) 에어드랍 지급 안내 (8회차)

[안내] 이오스트(IOST) 에어드랍 9차 지급 안내

[안내] 이오스트(IOST) 에어드랍 10차 지급 안내

[안내] 이오스트(IOST) 에어드랍 11차 지급 안내

[안내] 이오스트(IOST) 에어드랍 12차 지급 안내

[디지털 자산] 아이오에스티(IOST) 보유 회원 대상 아이오에스티(IOST) 에어드랍 지급 안내 (13회차)

[안내] 이오스트(IOST) 에어드랍 14차 지급 안내

Inside IOST and BitTrade’s Community Gathering in Tokyo

Community members, industry professionals, and ecosystem partners gathered at Crypto Lounge GOX to reflect on IOST’s journey in Japan and explore the future of digital assets together.

3 min read

Jun 3, 2026

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On May 28, IOST and Japanese crypto exchange BitTrade co-hosted a community event at Crypto Lounge GOX, with CoinNinja joining as the media partner. Marking the first collaboration between IOST and BitTrade, IOST CEO Blake traveled from South Korea to attend the event in person.

The event opened with welcoming remarks from Mr. Ishida of Cabinet, a familiar face in Japan’s crypto event scene. This was followed by a presentation from an IOST community member working in Web3 at a major Japanese corporation, who shared insights into the latest developments at the intersection of traditional finance and digital assets.

The main talk session featured BitTrade Marketing Manager Ms. Hori and IOST CEO Blake, who reflected on the journey that led to IOST’s listing on BitTrade. The story dates back to 2020, when BitTrade held a community voting campaign for new token listings. Thanks to strong support from Japan’s crypto community, IOST secured the top spot and ultimately earned its listing.

Interestingly, both organizations share a similar timeline. IOST launched its mainnet in 2019, the same year BitTrade began operations in Japan. Looking back on the past several years, the speakers discussed how the industry has evolved and shared their perspectives on the dramatic changes that have shaped the market between 2019 and 2026.

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To commemorate the occasion, BitTrade also announced a limited-time promotional campaign for its IOST lending service.

Following the talk session, attendees participated in a lively Kahoot! quiz competition featuring questions about both IOST and BitTrade. The top three participants received exclusive merchandise from the two organizations as prizes.

The event concluded with a networking session, where attendees had the opportunity to connect directly with exchange operators, blockchain builders, and ecosystem contributors. For many participants, it was a rare chance to engage with industry professionals in a more personal setting. Blake was especially pleased to meet community members who have supported IOST since its early days following the mainnet launch in 2019.

We are incredibly grateful to BitTrade for partnering with us on this event and to everyone who joined us in Tokyo. Community support has been a driving force behind IOST’s journey in Japan, and we remain committed to contributing to the growth of the country’s digital asset ecosystem.

We look forward to creating more opportunities for the community to connect, learn, and grow together in the years ahead.

[디지털 자산] 아이오에스티(IOST) 보유 회원 대상 아이오에스티(IOST) 에어드랍 지급 안내 (15회차)

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Analyst: SK Hynix’s US listing and fund-raising could trigger a valuation re-rating.

According to Bloomberg, SK Hynix is set to issue American Depositary Receipts (ADRs) on the Nasdaq on July 10. The listing aims to raise nearly $30 billion, making it one of the largest ADR issuances in history. Market participants widely believe the move will significantly expand its global investor base and may drive a valuation re-rating. Multiple asset management firms project that if its valuation converges with Micron Technology’s, its share price could rise by 30% over the next year. One fund manager noted that SK Hynix should trade at a valuation at least on par with Micron, as demand for memory chips is likely to outpace supply for years to come. The listing comes amid an unusually strong boom in the memory chip sector. Shares of Micron, SK Hynix, and Samsung Electronics have all surged over 200% this year, marking their best annual performance in decades. Demand for High Bandwidth Memory (HBM) from AI servers is widely seen as the driver of a structural "memory supercycle".

7 minutes ago

Jefferies: Samsung is likely to follow SK Hynix’s example to list in the US via ADRs.

Jeff Kim, Head of Research at Jefferies, said Samsung is likely to follow SK Hynix in listing on the U.S. market via American Depositary Receipts (ADRs), which will boost the share price of the South Korean chipmaker whose valuation lags behind Micron. "Chip stocks are at a turning point. ADRs will serve as an important catalyst to drive their valuations," he added.

7 minutes ago

UBS and TD Cowen sharply raise Arm’s target price, betting on a revaluation of Arm’s AI data center CPU value.

Arm’s stock price pulled back this week alongside the high-valuation AI sector, though some Wall Street analysts say the correction does not alter the company’s long-term standing in AI data centers. UBS sharply raised Arm’s price target from $260 to $470, retaining its Buy rating; TD Cowen lifted its target from $265 to $475, also keeping a Buy recommendation. Both firms share the view that as agentic AI evolves, CPUs could gain greater importance in data center architectures, rather than GPUs continuing to monopolize the investment narrative. TD Cowen believes that over the long term, CPUs could hold a more strategic position in certain AI workloads. UBS, meanwhile, emphasizes that the real debate in the market centers on the revenue potential of Arm’s self-developed or independent CPU business. The bank projects Arm’s CPU-related revenue could reach around $14 billion by 2030, though the company itself has stated this business will not have a material impact on its finances until fiscal 2028. Arm’s strengths lie in low latency and energy efficiency—metrics that major cloud providers are increasingly prioritizing as they expand AI infrastructure. Even with its stock pulling back from recent highs in the short term, analysts still view Arm as one of the key beneficiaries of the server CPU upgrade cycle.

7 minutes ago

Crypto whale who profited over $23.77 million from BAT ICO liquidates 27,586 ETH

According to monitoring by Yu Jing, a whale that earned $23.77 million from participating in the BAT ICO sold 15,000 ETH (valued at roughly $24.29 million) two hours ago. The whale has now fully liquidated all 27,586 ETH it received from selling 35 million BAT on-chain over the past day and a half, converting the proceeds into 44.836 million USDS at an average selling price of $1,625.

7 minutes ago

Sources: Iraqi officials once considered withdrawing from OPEC, but current plans are to remain a member and pursue a higher quota.

A senior Iraqi oil ministry official said that if OPEC quotas are not significantly increased, Iraq will be forced to consider all available options. Sources said Iraqi officials had considered withdrawing from OPEC, but the current plan is to remain a member and push for higher quotas. (Jinshi)

7 minutes ago

Kepler Cheuvreux raises ASML’s European share price target from €1,460 to €1,830.

Kepler Cheuvreux has raised the target price for ASML’s European shares from €1,460 to €1,830.

7 minutes ago

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Analyst: SK Hynix’s US listing and fund-raising could trigger a valuation re-rating.

According to Bloomberg, SK Hynix is set to issue American Depositary Receipts (ADRs) on the Nasdaq on July 10. The listing aims to raise nearly $30 billion, making it one of the largest ADR issuances in history. Market participants widely believe the move will significantly expand its global investor base and may drive a valuation re-rating. Multiple asset management firms project that if its valuation converges with Micron Technology’s, its share price could rise by 30% over the next year. One fund manager noted that SK Hynix should trade at a valuation at least on par with Micron, as demand for memory chips is likely to outpace supply for years to come. The listing comes amid an unusually strong boom in the memory chip sector. Shares of Micron, SK Hynix, and Samsung Electronics have all surged over 200% this year, marking their best annual performance in decades. Demand for High Bandwidth Memory (HBM) from AI servers is widely seen as the driver of a structural "memory supercycle".

7 minutes ago

Jefferies: Samsung is likely to follow SK Hynix’s example to list in the US via ADRs.

Jeff Kim, Head of Research at Jefferies, said Samsung is likely to follow SK Hynix in listing on the U.S. market via American Depositary Receipts (ADRs), which will boost the share price of the South Korean chipmaker whose valuation lags behind Micron. "Chip stocks are at a turning point. ADRs will serve as an important catalyst to drive their valuations," he added.

7 minutes ago

UBS and TD Cowen sharply raise Arm’s target price, betting on a revaluation of Arm’s AI data center CPU value.

Arm’s stock price pulled back this week alongside the high-valuation AI sector, though some Wall Street analysts say the correction does not alter the company’s long-term standing in AI data centers. UBS sharply raised Arm’s price target from $260 to $470, retaining its Buy rating; TD Cowen lifted its target from $265 to $475, also keeping a Buy recommendation. Both firms share the view that as agentic AI evolves, CPUs could gain greater importance in data center architectures, rather than GPUs continuing to monopolize the investment narrative. TD Cowen believes that over the long term, CPUs could hold a more strategic position in certain AI workloads. UBS, meanwhile, emphasizes that the real debate in the market centers on the revenue potential of Arm’s self-developed or independent CPU business. The bank projects Arm’s CPU-related revenue could reach around $14 billion by 2030, though the company itself has stated this business will not have a material impact on its finances until fiscal 2028. Arm’s strengths lie in low latency and energy efficiency—metrics that major cloud providers are increasingly prioritizing as they expand AI infrastructure. Even with its stock pulling back from recent highs in the short term, analysts still view Arm as one of the key beneficiaries of the server CPU upgrade cycle.

7 minutes ago

Crypto whale who profited over $23.77 million from BAT ICO liquidates 27,586 ETH

According to monitoring by Yu Jing, a whale that earned $23.77 million from participating in the BAT ICO sold 15,000 ETH (valued at roughly $24.29 million) two hours ago. The whale has now fully liquidated all 27,586 ETH it received from selling 35 million BAT on-chain over the past day and a half, converting the proceeds into 44.836 million USDS at an average selling price of $1,625.

7 minutes ago

Sources: Iraqi officials once considered withdrawing from OPEC, but current plans are to remain a member and pursue a higher quota.

A senior Iraqi oil ministry official said that if OPEC quotas are not significantly increased, Iraq will be forced to consider all available options. Sources said Iraqi officials had considered withdrawing from OPEC, but the current plan is to remain a member and push for higher quotas. (Jinshi)

7 minutes ago

Kepler Cheuvreux raises ASML’s European share price target from €1,460 to €1,830.

Kepler Cheuvreux has raised the target price for ASML’s European shares from €1,460 to €1,830.

7 minutes ago

PANews reported on February 8th that @mil_itia, an active member of the Arweave ecosystem, stated on the X platform that since yesterday, Arweave has been displaying outdated block data, making it appear as if the chain has stopped generating blocks. However, Arweave is actually generating blocks normally, and all transactions are being processed correctly. The issue is that Viewblock's browser is using a local cache count instead of the actual network block height, and the team is contacting them to resolve this problem.

Previous reports indicated that the Arweave network had not produced a block for over 24 hours.

AI models need storage that can keep up. Most decentralized options were built before that mattered.

Key takeawaysFilecoin, Arweave, and 0G Storage each solve different problems. Filecoin optimizes for cost and capacity. Arweave optimizes for permanence. 0G optimizes for throughput and AI workloads.0G Storage achieves 30+ MB/s throughput in mainnet production, compared to Filecoin's ~45-second retrieval latency and Arweave's block-size-limited uploads.0G is the only decentralized storage protocol with native mutable data support through its dual-layer architecture (immutable Log Layer + mutable KV Layer).Cost depends on use case: Filecoin offers $0.19/TB/month for cold archival, Arweave charges ~$5-8/GB for permanent storage, and 0G runs at $11/TB/month for high-throughput Turbo storage.The choice is not which protocol is "best." It is which protocol fits the workload.The storage problem AI createdTraining a large language model produces hundreds of terabytes of data: model weights, gradient checkpoints, tokenized datasets, evaluation logs. Inference generates its own volume: prompt histories, output caches, retrieval-augmented generation indexes that update in real time.

This data does not sit still. It gets read, modified, versioned, and fed back into the next training run. It needs to move fast, and it needs to be accessible the moment a compute node asks for it.

Decentralized storage was not built for this. The first generation of protocols solved a different problem: how to store files without relying on Amazon or Google. They optimized for durability, cost, and censorship resistance. Those were the right goals in 2018.

But AI workloads in 2026 need something else. They need throughput measured in megabytes per second, not minutes per retrieval. They need mutable data stores that can handle key-value lookups alongside large sequential writes. And they need storage that talks to compute without an integration layer bolted on after the fact.

That gap between what AI demands and what decentralized storage provides is where this comparison starts.

Three approaches to decentralized storageArweave: pay once, store foreverArweave launched in 2018 with a simple premise: pay a one-time fee and your data stays on the network permanently. The protocol uses an endowment model where roughly 95% of the storage fee goes into a reserve fund that pays miners over time, covering storage costs for 200+ years based on conservative projections of declining hardware costs.

The total data stored on Arweave sits at roughly 347 TiB as of early 2026. The network processes about 105 transactions per second and handles around 33 GiB in daily uploads. Its consensus mechanism, SPoRA (Succinct Proofs of Random Access), rewards miners who can quickly access randomly selected historical data chunks, which keeps the network incentivized to maintain full copies of the weave.

Arweave is ideal for records that should never change: legal documents, scientific datasets, cultural archives, NFT metadata. Its compute layer, AO, launched on mainnet in February 2025 and adds parallel processing on top of the storage layer.

The trade-off is throughput. Arweave transactions are capped at 10 MiB each, and the network uploads roughly 33 GiB per day. For AI workloads that involve hundreds of gigabytes moving in and out of storage, this creates a bottleneck.

Filecoin: the storage marketplaceFilecoin, live since October 2020, built something different: an open marketplace where storage providers compete on price and clients choose where their data lives. The network has committed roughly 23 EiB of capacity across 3,600+ storage providers globally, with about 3.0 EiB of active storage and 36% utilization.

Filecoin's verification system uses two proofs: Proof of Replication (proving data was uniquely encoded) and Proof of Spacetime (proving it stayed stored over time). The F3 upgrade in April 2025 reduced block finality from 7.5 hours to minutes, a major improvement for applications that need faster confirmation.

At ~$0.19/TB per month, Filecoin offers some of the cheapest decentralized storage available. The Filecoin Virtual Machine (FVM) adds programmability, and the Filecoin Onchain Cloud (FOC) initiative is working toward verifiable compute services.

The limitation is latency. Filecoin was designed around sealed sectors of 32 or 64 GiB, and the sealing process takes roughly 1.5 hours. Retrieval depends on whether the storage provider keeps an unsealed copy of your data. If they do, retrieval can happen in seconds. If they don't, you're looking at hours. Average retrieval latency in North America sits at around 45 seconds. For real-time AI inference or high-frequency data access, that is too slow.

Three decentralized storage protocols: 0G, Filecoin, and Arweave0G Storage: built for AI workloads0G Storage launched with Aristotle Mainnet in September 2025 as part of 0G's modular AI infrastructure. It was designed from the start to handle the read/write patterns that AI systems produce.

The architecture has two layers. The Log Layer handles large, append-only data: model weights, training datasets, event streams. The KV Layer sits on top and provides mutable key-value storage with millisecond-level read/write latency for structured data like user profiles, application state, and real-time indexes.

In mainnet production, 0G Storage achieves 30+ MB/s throughput (engineering confirmed, March 2026). The system is architected for up to 50 Gbps in aggregate throughput as the network scales. Verification uses PoRA (Proof of Random Access), where storage nodes must prove they hold randomly selected data segments.

The pricing model runs at $11/TB per month on the Turbo tier. Unlike Filecoin's provider-specific marketplace pricing or Arweave's one-time permanent fee, 0G uses a flow-based system where storage requests go through on-chain smart contracts on an EVM-compatible Layer 1.

Enterprise clients are already discussing migration of multi-terabyte datasets to mainnet.

How they compareDimension0G StorageFilecoinArweaveDesign goalAI-native real-time storageGeneral-purpose decentralized storagePermanent immutable storageStorage typeMutable KV + Immutable LogContract-based sealed sectorsWrite-once, stored foreverThroughput30+ MB/s mainnet measuredRetrieval latency ~45s (NA avg)Limited by 10 MiB tx / ~33 GiB dailyCost$11/TB/month (Turbo)~$0.19/TB/month~$5-8/GB one-time permanentRedundancyUser-configurable backup count3-6 node fixed replicationNetwork-wide incentivized replicationData verificationPoRA random challengesPoRep + PoStSPoRA (Proof of Access)Mutable data✓ Native KV Layer support⚠ Adding via FVM✗ Immutable onlyAI workload integrationNative (Storage + Compute + Chain)Adding via FOCAdding via AOSources: 0G engineering (confirmed March 2026), Filecoin Starboard, Arweave ViewBlock, ArweaveFees, official documentation for each protocol.

Comparison table showing 0G Storage, Filecoin, and Arweave across 8 dimensionsChoosing the right toolThe comparison above does not have a single winner. Each protocol was built for a different job. Picking the right one depends on the workload.

Use CaseBest FitWhyCold archival, long-term backup, high-capacity storageFilecoin ($0.19/TB/month)Lowest recurring cost, flexible contract terms, 3,600+ global storage providersPermanent records, immutable archives, NFT metadataArweave (~$5-8/GB one-time)Pay once and never think about renewals. Data persists for 200+ yearsAI training data, real-time inference, high-throughput mutable data0G Storage ($11/TB/month)30+ MB/s measured throughput, native KV mutable storage, integrated with compute layerA research lab archiving a finished dataset might use Arweave for its permanence guarantee. A data warehouse storing petabytes of cold backups might choose Filecoin for cost efficiency. An AI pipeline that needs to read model weights, update inference caches, and write results back to storage in real time is a natural fit for 0G.

These are not competing tools. They cover different parts of the storage stack.

What makes 0G Storage differentFour properties separate 0G Storage from protocols built in the previous generation.

1. Dual-layer architecture

Most decentralized storage supports one data model: immutable files. 0G Storage supports two. The Log Layer handles large sequential data (model weights, logs, datasets) with append-only immutability. The KV Layer adds mutable key-value storage on top, enabling real-time queries and state updates without rewriting entire files.

This means a single storage system can hold both the static training data and the dynamic inference state for an AI application. No external database required.

2. Measured throughput

0G Storage delivers 30+ MB/s in mainnet production as confirmed by the engineering team in March 2026. The architecture is designed for up to 50 Gbps aggregate throughput as more nodes join the network. For context, Filecoin's average retrieval latency in North America is around 45 seconds, and Arweave's daily upload volume is roughly 33 GiB. The throughput gap matters most for AI workloads where storage is in the critical path between compute jobs.

3. Configurable redundancy

Filecoin locks data into 3-6 node replication. Arweave relies on network-wide incentives to ensure copies exist. 0G lets users choose their own backup count based on their needs. A public dataset might need minimal redundancy. A production AI model might need higher guarantees. The choice is yours.

4. AI-native integration

0G Storage is not a standalone service. It runs as part of a unified stack: 0G Chain (EVM-compatible Layer 1), 0G Compute (decentralized GPU marketplace), and 0G Storage. When a compute node needs model weights, it reads directly from storage on the same network. When inference results need to settle on-chain, the chain is right there. No bridging, no external API calls, no third-party integration layer.

Filecoin is adding compute capabilities through the Filecoin Onchain Cloud. Arweave has AO for parallel processing. Both are working toward similar goals, but those features are separate protocol additions rather than native parts of the storage architecture.

0G unified stack: Compute, Storage, and ChainWhat this enablesWith storage infrastructure that can handle AI-scale data at AI-scale speeds, the question shifts from "can we store this?" to "what can we build on top of it?"

Enterprise clients are already onboarding multi-terabyte datasets to 0G mainnet. The storage layer is one piece of a broader infrastructure that recently demonstrated a 107-billion parameter model trained across decentralized nodes using DiLoCoX with 357x better communication efficiency than traditional AllReduce.

Storage is the foundation. What gets built on that foundation is the next chapter.

Frequently asked questionsWhat is the main difference between 0G Storage, Filecoin, and Arweave?

Each protocol optimizes for a different priority. Filecoin optimizes for low-cost, large-scale archival storage. Arweave optimizes for permanent, immutable data preservation. 0G Storage optimizes for high-throughput, mutable storage designed around AI workload patterns.

Is 0G Storage trying to replace Filecoin or Arweave?

No. These protocols serve different use cases. Filecoin is well suited for cold storage and backups. Arweave is the right choice for data that must persist permanently. 0G fills a gap that neither covers: real-time, mutable, high-throughput storage for AI applications.

How does 0G Storage handle data verification?

0G uses Proof of Random Access (PoRA), where the network randomly challenges storage nodes to prove they hold specific data segments. Data is erasure-coded and distributed across nodes, and the network can tolerate up to 30% node failure while maintaining data availability.

What does "AI-native" mean in the context of storage?

It means the storage system was designed from the start to support AI workload patterns: high-throughput sequential reads (loading model weights), mutable key-value access (updating inference state), and direct integration with compute infrastructure (no separate bridging or API layer needed).

How mature is 0G Storage compared to Filecoin and Arweave?

Filecoin launched in October 2020 and Arweave launched in June 2018. 0G's Aristotle Mainnet went live in September 2025. While 0G is newer, its architecture was built with six years of lessons from earlier protocols. The network is in its early growth phase with enterprise clients actively onboarding data.

Explore 0G StorageRead the architecture deep-dive: 0G Storage: Built for the AI EraRun a storage node: Storage Node DocumentationStart building: 0G Storage SDKMonitor the network: StorageScanFollow @0G_labs for updatesThis article is for informational purposes only and does not constitute financial advice.

Sources:

0G Storage Documentation (architecture, PoRA, pricing)0G Storage: Built for the AI Era (architecture overview)Aristotle Mainnet Launch (CryptoSlate, September 2025)Filecoin Starboard Dashboard (network capacity, utilization)Filecoin Documentation (proofs, sealing, FVM)Filecoin F3 Upgrade (finality improvement)Arweave ViewBlock (weave size, TPS, daily uploads)ArweaveFees (real-time pricing)AO Mainnet Launch (The Block, February 2025)0G engineering team confirmations (throughput, cost, redundancy model; March 2026)

NGOs manage massive amounts of important information each day. This includes beneficiary records, field updates, donation reports, and distribution logs. In several cases, this data is stored in centralized systems, which can be vulnerable to corruption, loss, or limited transparency.

To enhance accountability and trust, many organizations are now exploring decentralized file storage systems such as InterPlanetary File System and Arweave. These systems store data across distributed networks rather than a single server.

In this post, you will understand how to integrate decentralized storage into NGO aid pipelines.

Key Takeaways IPFS and Arweave are decentralized storage solutions that can improve transparency and accountability in NGO aid operations. IPFS is best suited for storing and sharing frequently updated data, while Arweave is designed for permanent record storage. Decentralized file storage helps reduce the risks associated with centralized databases, including data loss and unauthorized modifications. NGOs can use decentralized file storage to improve donor trust, preserve important records, and strengthen aid tracking systems. What is Decentralized File Storage? (IPFS & Arweave Explained) This is a system where data is stored across many computer nodes, instead of one central server. Hence, the data becomes harder to manipulate, lose, or censor. 

IPFS is a peer-to-peer storage network that stores files with a system called content addressing. Rather than using a location-based link, IPFS uses a unique identifier called a Content Identifier. This means the file can be retrieved from any node that stores it. 

IPFS is mostly used for storing reports and media files, sharing documents, and temporary or frequently updated data. 

However, IPFS does not assure permanent storage unless the data is “pinned” by nodes.

In comparison, Arweave is a decentralized storage network designed for permanent data storage. When data is uploaded, it is stored permanently on the network with a pay-once model. 

Arweave is mostly used for public archives, long-term records, permanent audit trails, and historical humanitarian data. 

Why NGOs Need Decentralized Storage for Aid Pipelines NGOs require transparent and reliable systems to manage donor reporting, aid distribution, and beneficiary information. Traditional storage systems can sometimes fail, be altered, or become inaccessible over time. 

Here are the crucial reasons NGOs need decentralized storage in their aid pipelines:

1. Improved transparency for donors and stakeholders Decentralized file storage enables NGOs to store and share verifiable records that are challenging to manipulate or alter. This helps donors see how aid and funds are used, increasing accountability and trust in humanitarian operations. 

2. Stronger protection against system failure or data loss In centralized systems, a cyberattack, server crash, or technical failure can cause data loss. With decentralized file storage, data is spread across several nodes, meaning there is no single point of failure. This makes vital humanitarian records more resilient and always recoverable.

3. Better accountability in aid distribution processes NGOs can record each step of aid delivery, from donation receipt to final distribution. Since decentralized records cannot be tampered with, it becomes seamless to verify that aid reached the intended beneficiaries without unauthorized changes. 

4. Long-term preservation of humanitarian records Several NGO records need to be stored for years for reporting, audits, or historical reference. Decentralized systems like Arweave ensure permanent storage, while IPFS is ideal for temporary or flexible data that is actively updated or shared. 

5. Reduced risk of data manipulation or corruption When data is stored on decentralized networks, it is extremely difficult to change it without leaving a trace. This helps reduce external or internal tampering, enhancing the integrity of operational data and reports. 

6. Global and uninterrupted access to information Decentralized file storage permits authorized users from various regions or countries to access the same verified data without depending on a central server. This is particularly helpful for international NGOs working across multiple locations. 

7. Improved collaboration between partner organizations NGOs mostly work with donors, governments, and local partners. Decentralized file storage makes it effortless to share verified and consistent information across all stakeholders, reducing confusion and duplication of records. 

Step-by-Step: How to Build a Hybrid IPFS and Arweave System for NGO Aid Pipelines Below is a practical process on how to build this system:

1. Classify NGO data based on usage Begin by separating all data into two groups. The first group is operational data (IPFS). This includes beneficiary updates, internal notes, photos, videos, and ongoing project documents. The second group is permanent data (Arweave). This entails donation proofs, final audit reports, verified distribution records, and compliance documents. 

2. Store live and frequently updated data on IPFS Upload operational data to IPFS with a node or pinning service. Each file is assigned a Content Identifier (CID), which makes it available across the network. 

This is helpful for storing real-time aid-delivery information and for sharing updates between field teams. It is also useful for managing documents that might change over time. 

3. Move verified records to Arweave for permanent storage When the data is confirmed and validated, upload it to Arweave. This ensures the information is stored permanently and cannot be altered or deleted. 

Arweave generates a permanent transaction ID that functions as a long-term reference for every record.

This step is vital for final reports, verified aid distribution summaries, and financial transparency records. 

4. Link IPFS and Arweave records together  To maintain complete traceability, store IPFS CIDs inside Arweave records. This enhances transparency and makes auditing easier. 

5. Connect storage system to NGO dashboards or blockchain tools Incorporate both IPFS CIDs and Arweave transaction IDs into a blockchain system or central dashboard. This enables NGOs to track full data history and aid donors to verify aid activities. It also helps auditors to access permanent records easily. Smart contracts can also be used to automate reporting processes or verification.

Conclusion: How Decentralized File Storage Can Strengthen Transparency in NGO Aid Delivery Decentralized storage solutions such as IPFS and Arweave offer NGOs a more transparent and reliable way to manage aid-related data. By reducing dependence on centralized servers, organizations can improve data integrity, accessibility, and long-term record preservation.

A hybrid approach that combines IPFS for active data management and Arweave for permanent storage provides the flexibility needed for day-to-day operations while maintaining strong accountability standards. As NGOs continue to adopt digital tools, decentralized file storage is likely to play an increasingly important role in building trust and transparency across humanitarian aid systems.