Web3

LINGA Introduces LINGA Mobile, Expanding Flexible POS Options for Modern Restaurant Service | Web3Wire

Web3

By

-

March 23, 2026

LINGA Introduces LINGA Mobile, Expanding Flexible POS Options for Modern Restaurant Service | Web3Wire

A mobile-first POS designed to support faster service, adaptable deployments, and real-world operations

NAPLES, FL / ACCESS Newswire / March 23, 2026 / LINGA, a cloud-based point of sale technology provider, today announced the launch of LINGA Mobile, a complete POS solution in a handheld form factor built to support how restaurants actually operate day to day.

As service models continue to evolve, many restaurants are rethinking how fixed POS stations fit into busy dining rooms and counter-service environments. LINGA Mobile addresses this shift by bringing full POS functionality directly to the floor, allowing teams to take orders and accept payments wherever service happens.

LINGA Mobile delivers the same core capabilities users expect from LINGA POS, including ordering, payments, and checkout. Designed to work alongside the LINGA POS station, LINGA Mobile extends service beyond the counter and supports mobile-first environments where flexibility is key.

Built for real service environments, LINGA Mobile supports long shifts, constant movement, and the daily demands of restaurant operations. Its mobile-first design makes it easier to adapt layouts, respond to volume changes, and support different service styles without adding complexity.

Highlights of LINGA Mobile include:

Full POS functionality in a mobile form factor

Faster ordering and payment at the point of service

Flexible deployment across QSR, FSR, and hybrid concepts

The launch of LINGA Mobile reflects LINGA’s continued focus on practical innovation, offering solutions that fit into existing operations while opening the door to more flexible service models. By expanding how and where POS can be used, LINGA Mobile helps restaurants move faster, stay adaptable, and deliver better guest experiences.

LINGA Mobile is available now as part of the LINGA POS platform.

To learn more about LINGA Mobile, visit the LINGA website.

About LINGA

LINGA® is a cloud-based business platform designed to help restaurants and retail businesses operate and grow with ease. From front-of-house to the back-office, LINGA® streamlines every aspect of your operations from order management to inventory tracking, staff scheduling, and more – all in one system.

Providing flexible payment solutions for fast, secure transactions, including gift cards, credit, EMV, QR codes, EBT, and more. Our team works closely with hospitality and retail businesses nationwide, giving us insights to help your business run smoothly, whether you manage one location or many. With LINGA®, you save time and focus on what matters most: your customers.

Media Contact

Audrey HoganVP of Marketing[email protected]

Kenedy MusanteBrand Marketing Coordinator[email protected]

SOURCE: Linga

CoinDCX Rebukes Fraud Allegations, Points to Impersonation Scam in Police Probe – Decrypt

Web3

By

-

March 23, 2026

CoinDCX Rebukes Fraud Allegations, Points to Impersonation Scam in Police Probe – Decrypt

In brief

CoinDCX said the FIR against its co-founders is “false” and part of a “conspiracy” involving impersonators using its brand to defraud investors.
The exchange warned that “CoinDCX is being targeted by fraudsters,” adding that it has reported over 1,212 fake websites mimicking its platform.
A victim alleges losses totaling $76,000 after being lured into a fake crypto investment scheme that promised 10–12% returns.

Indian crypto exchange CoinDCX on Sunday dismissed fraud allegations tied to a police investigation, saying the case stems from impersonators posing as its founders and misusing its brand to defraud investors.

The response follows a report by Entrackr that the exchange’s founders, Sumit Gupta and Neeraj Khandelwal, were questioned as part of an investigation into a crypto investment scam involving individuals posing as CoinDCX representatives.

“The FIR filed against our co-founders is false and filed as a conspiracy against CoinDCX by impersonators posing as Founders of CoinDCX and cheating the public at large,” the company said in a post on X, adding it has issued a public notice warning, “CoinDCX is being targeted by fraudsters.”

“The entire conspiracy falsely claims that funds were transferred in cash to third-party accounts which have no relation to CoinDCX,” the platform said.

Decrypt has reached out to CoinDCX for further clarification; the company has not addressed reports of the founders’ arrest.

A Mumbra-based insurance consultant was reportedly lured into a scheme promising 10–12% returns using CoinDCX branding and documents, according to the report, with an FIR registered in Thane naming the company’s founders among others.

He reported losses of $76,000 (Rs 71.6 lakh) between August 2025 and March, including $28,000 (Rs 26.6 lakh) he invested, while two associates invested $26,000 (Rs 25 lakh) and $21,000 (Rs 20 lakh).

“This appears to be a classic case of impersonation fraud,” CA Sonu Jain, chief risk and compliance officer at 9Point Capital, told Decrypt, citying a pattern that is “increasingly common in the Indian crypto space.”

“Indian VASPs have repeatedly cautioned users and flagged such fraudulent websites to law enforcement,” Jain said, noting that bad actors often exploit trusted brands to build credibility.

“Founders being called for questioning in such cases should not be mistaken for culpability,” he added, describing it as “a procedural step once an FIR is registered.”

An FIR, or First Information Report, is a formal record of a complaint by the police when they receive information that a cognizable offence has been committed.

Lack of ‘clear regulatory standards’

“The larger issue is the absence of clear regulatory standards and investor protection frameworks in India,” Jain said, warning that gaps in oversight allow “such incidents to persist.”

“Regulators should now focus on clearly defining platform responsibilities, enabling faster takedown of fraudulent domains, and formalising coordination between FIU-India, I4C, CERT-In, and crypto exchanges to proactively curb such scams,” Jain added.

CoinDCX said the complainant has no association with its platform and rejected claims that funds were routed through its systems.

The exchange flagged the scale of impersonation activity, reporting more than 1,212 fake websites impersonating its site between April 1, 2024, and January 5, 2026.

CoinDCX said it is cooperating with law enforcement and continuing its efforts to raise user awareness to prevent such incidents.

“Whatever the outcome here, it would be worth reflecting on whether enough is being done around financial literacy and due diligence across the board, by users, builders, and regulators,” Vedang Vatsa, Founder of global crypto community Hashtag Web3, told Decrypt.

The development comes after a volatile year for the exchange.

Last July, CoinDCX disclosed a $44.2 million treasury breach, with a Bengaluru-based software engineer at the firm arrested for allegedly enabling the hack in which attackers siphoned from an internal CoinDCX account using compromised credentials.

Daily Debrief Newsletter

Start every day with the top news stories right now, plus original features, a podcast, videos and more.

Mango AI Lets Users Apply Creative Photo Effects to Photos Instantly | Web3Wire

Web3

By

-

March 23, 2026

Mango AI Lets Users Apply Creative Photo Effects to Photos Instantly | Web3Wire

Mango AI brings photos to life with innovative AI photo effects. Users can instantly create eye-catching visuals.

Many people enjoy giving their photos a fresh, creative look, but not everyone has the design skills or access to advanced photo editing software. Traditional editing tools can be complex, time-consuming, and require technical knowledge, which often discourages casual users from experimenting with their images. Mango AI, an innovative content creation platform, has addressed this challenge with its new AI-powered photo effects (https://mangoanimate.com/ai/photo-effects) tool, allowing anyone to enhance their photos instantly without any prior experience.

The platform is fully online, so users don’t need to download or install software. They can access the tool from any device, at any time, and add photo effects in just a few clicks. The interface is simple and intuitive: users only need to upload a photo, select a desired effect from a diverse collection, and click the generate button. The tool processes the image quickly, creating a visually appealing result while preserving the original features of the person in the photo.

Mango AI emphasizes that the best results come from uploading clear photos where the subject is fully visible. Hats, sunglasses, or obstructed faces may reduce the accuracy of the effect, so the tool works optimally with unobstructed portraits. Currently, Mango AI offers over 20 unique photo effects suitable for various styles and occasions. Users can create vintage-inspired black-and-white portraits, vibrant Y2K-style color bursts, or artistic aesthetic transformations. This variety allows individuals to experiment freely and find the perfect look for personal galleries, social media posts, or creative projects.

By combining accessibility, versatility, and cutting-edge AI technology, Mango AI’s photo effects tool empowers everyone-from casual users to influencers-to transform ordinary photos into captivating visuals without complex editing.

“Our library of AI photo effects allows users to create engaging and visually striking images effortlessly,” said Winston Zhang, CEO of Mango Animate. “Whether it’s a selfie, portrait, or creative photo, our tool provides a wide range of effects that make images more interesting, fun, and shareable. Users can enjoy experimenting with their photos, creating content that stands out and delights friends and followers alike.”

To learn more about how to apply photo effects to photos, please visit https://mangoanimate.com/ai.

Mango AnimateFlat/Rm D3, 11/F, Luk Hop Industrial Building,No.8 Luk Hop Street, San Po Kong, Kowloon,Hong KongWebsite: https://mangoanimate.com/Email: pr@mangoanimate.com

About Mango AnimateMango Animate offers several tools to its worldwide users for content creation and video animation. The platform bridges the gap between time consumption, skills, and hiring people to get professional results. It delivers high-quality and exciting results with minimal effort. Moreover, its accessible nature allows everyone to use Mango Animate without any hassle.

This release was published on openPR.

Abishai Financial Asia: Oil Climbs on Supply Concerns | Web3Wire

Web3

By

-

March 22, 2026

Abishai Financial Asia: Oil Climbs on Supply Concerns | Web3Wire

Brent crude trades above $100 on Thursday as Strait of Hormuz disruption tightens supply and damages LNG capacity; investors recalibrate stress tests, liquidity buffers and hedging overlays while emergency reserves struggle to calm volatility.

Trading on Thursday forces a rapid reassessment of energy risk, with Abishai Financial Asia Pte. Ltd. highlighting a supply shock that drives Brent crude futures to $119 a barrel in early dealing before prices settle around $108.7 later in the session. Market estimates now suggest Iranian missile strikes remove roughly 17% of Qatar’s liquefied natural gas export capacity during the current disruption, while restrictions through the Strait of Hormuz threaten a corridor that typically carries about 20% of global oil flows each day.

The move is not just a higher price, but a different market structure. Brent trades above $100 for the first time in more than three and a half years, and West Texas Intermediate holds near $106.2 during Thursday’s session. From the previous Friday close to Thursday’s session, Brent rises about 16.5%, with WTI up about 16.9% over the same interval, a pace that tightens financial conditions through higher transport costs, wider inflation expectations and increased margin requirements.

Analysts lift baseline Brent assumptions for contracts delivering over the next four quarters to about $70.7 a barrel from roughly $68.6 at the start of the year, with implied risk premia spanning around $4.4 to $11.1 a barrel for those contracts under current scenarios. Daniel Coventry, Director of Private Equity at Abishai Financial Asia Pte. Ltd., characterises the repricing as “a market trying to locate physical supply, not a market debating narratives”, and warns that “the first-order effect is oil, the second-order effect is liquidity”.

The Strait of Hormuz matters because the numbers are structural. An estimated 15 million barrels of crude exports are at risk each day that transit remains impaired, and flows in the affected corridor contract to below 10% of pre-crisis levels within days of the first restrictions. Regional producers respond by curtailing output, with combined cuts of at least 10 million barrels per day over the past two weeks, and global supply down by roughly 8 million barrels per day over the past three weeks, close to 8% of world demand over the same period.

Emergency reserves add supply, but do not remove uncertainty. In the current week, the International Energy Agency commits 400 million barrels from member stockpiles, while United States authorities initiate exchanges of up to 86 million barrels as the opening tranche of a 172-million-barrel programme planned over the coming months. At prevailing consumption rates, the IEA release equates to roughly nine to ten days of member demand, leaving prices highly sensitive to further outages or shipping disruption.

Gas markets deepen the challenge because repair timelines extend beyond a trading cycle. Qatar’s main LNG complex, which typically represents about one-fifth of global LNG supply in normal operations, faces an expected repair horizon of three to five years under current guidance, increasing competition for cargoes into Europe and Asia and amplifying the inflation channel for import-reliant economies.

Abishai Financial Asia’s note centres on portfolio mechanics: stress testing, drawdown control and the behaviour of correlations when energy volatility becomes the dominant macro variable. Scenario work referenced in the analysis links a 30% oil shock over a three-month stress window to a 5% decline in US equities and a 30-basis point rise in Treasury yields, while a 60% shock paired with a shallow recession over the same window aligns with equity drawdowns of around 14%. For diversified global portfolios, the modelled impact ranges from roughly 3% under a moderate disruption to about 8% under a severe one over that same three-month window, reinforcing the case for explicit liquidity buffers and transparent attribution of hedges and overlays.

The practical test is operational as well as financial. Clearing house margining intensifies when volatility rises, and Coventry’s view is that “liquidity is a strategy, not a line item”, with the emphasis on understanding funding breakpoints before collateral calls compress decision time.

The immediate takeaway is that crude prices are repricing, but so are the assumptions investors make about diversification and resilience. With Abishai Financial Asia tracking shipping flows, reserve releases and production adjustments in real time, Coventry argues that “the portfolios that survive this phase are the ones that stress test the plumbing, not just the thesis”.

Abishai Financial Asia at a Glance

Abishai Financial Asia Pte. Ltd. (UEN: 201016239E) is a Singapore-based asset manager founded in 2010, positioning research as the starting point for capital allocation.

· Approach: Risk-aware capital compounding in public markets through active equity selection, bottom-up research and disciplined rebalancing, supported by overlays designed to enhance resilience and capital efficiency, including systematic tilts, opportunistic hedging and drawdown-aware controls.

· Governance: Macro-aware risk budgeting with explicit limits, exposure and concentration guardrails, liquidity filters, stress testing, transparent attribution and ongoing monitoring supported by clear commentary.

· Sustainability: ESG is integrated through sector and issuer assessments, engagement expectations and governance screens, applied where financially material across the investment lifecycle.

· Access: The firm is exploring compliant product wrappers and distribution pathways that could, subject to suitability criteria, broaden selected solutions to retail-qualified investors over time.

Further information: https://abishai.com

Media: Peng Joon, p.joon@abishai.com

United State

At Link Panda, we help brands grow authority and visibility through high-quality guest posts on real websites and high-quality press release sites. Every placement comes with strong DA, DR, real organic traffic, and natural link profiles-all delivered at fair and competitive pricing.

This release was published on openPR.

How AI Is Being Used to Clear Court Backlogs in LA – Decrypt

Web3

By

-

March 22, 2026

How AI Is Being Used to Clear Court Backlogs in LA – Decrypt

In brief

LA Superior Court is testing Learned Hand’s AI to help judges prep cases without replacing judicial decisions.
The company’s CEO warns that AI-assisted legal filings will flood courts with a “bots versus bots” dynamic if left unchecked.
The system uses a closed set of legal materials and verification layers designed to catch hallucinations before a judge sees the output.

Courts around the world are straining under growing caseloads, and a pilot program in Los Angeles is hoping to change that by testing whether AI can assist judges without offloading their judgment.

The Los Angeles Superior Court is testing an AI tool called Learned Hand that summarizes filings, organizes evidence, and generates draft rulings in civil cases.

The goal is to reduce time spent on administrative tasks so judges can focus on the parts of a case that require legal analysis and discretion, Learned Hand founder and CEO Shlomo Klapper told Decrypt.

“We’re at a place in society where courts are under tremendous strain,” Klapper said. “Their caseloads go up, but no help is coming,” he said, adding that advances in artificial intelligence are “massively dropping the cost of litigation.”

AI is increasing pressure on the courts by making it easier to produce filings, with filings rising 49% from 4,100 to 6,400 in the past year, according to a February 2026 report by national law firm Fisher Phillips.

The Los Angeles Superior Court pilot gives a small group of judicial officers access to Learned Hand’s AI system to test its performance across a case, from intake to draft rulings.

A former judicial law clerk for the U.S. Court of Appeals and deployment strategist with Palantir, Klapper said Learned Hand, founded in 2024, and named after a federal judge of the same name, was designed to give overburdened courts “purpose-built” AI tools that cut down on “drudge work” by surfacing key facts and legal issues while leaving judgment and agency with the human judge.

“With this partnership, we are carefully evaluating emerging technologies to determine how they may support judicial officers in working more efficiently and effectively,” Presiding Judge Sergio C. Tapia II said in a statement. “Let me be clear—while this tool may enhance the way judicial officers review and engage with case files and information, it will not replace, or in any way compromise, the sanctity, independence, and impartiality of judicial decision-making.”

Klapper said the harder part of developing an AI for courts is not generating text but checking AI output against the underlying case materials and legal sources.

“Most of the expense of our large language model is in the verification, not the generation,” Klapper said. “Generation is easy. Anyone can generate something, but how do you make sure that it’s really reliable?”

AI hallucinations have already surfaced in high-profile court cases.

In 2023, the defense team for Prakazrel “Pras” Michel, a founding member of hip-hop group the Fugees, alleged that an AI helped write a closing argument that included frivolous claims and missed weaknesses in the government’s case against him.

That same year, a federal judge ordered lawyers representing former Trump attorney Michael Cohen to provide printed copies of cited cases after the court could not verify them.

Klapper said Learned Hand is built around a narrower pool of source material to reduce the risk of AI hallucinations. Rather than pulling from the open internet or random datasets, the system operates within a defined set of legal materials.

The reason is that large language models can reflect biases in their training data, pointing to examples of AI echoing advice from platforms like Reddit, Klapper said. Learned Hand addresses that by breaking tasks into steps and assigning each step to a model with a specific function.

Learned Hand is also designed so that judges do not need technical training to use it.

“It’s point and click,” Klapper said. “They don’t have to do any prompts.”

Klapper argued that much of a judge’s day is spent on routine tasks rather than legal reasoning, and that the AI aims to allow them to “spend more time on judge work and less time on drudge work.”

Klapper said judges should not take AI outputs at face value and that both the tools and the companies behind them need to prove their reliability.

“I like to say, don’t trust, verify,” he said. “They shouldn’t trust anything. It has to show its worth.”

Daily Debrief Newsletter

Start every day with the top news stories right now, plus original features, a podcast, videos and more.

Next Crypto to Explode: Taurox (TAUX) txToken Compounds Automatically With Zero Manual Claims Needed | Web3Wire

Web3

By

-

March 22, 2026

Next Crypto to Explode: Taurox (TAUX) txToken Compounds Automatically With Zero Manual Claims Needed | Web3Wire

Taurox (TAUX) Decentralized Hedge Fund

Parabolic moves in crypto get all the attention, but most of them reverse just as fast. The tokens that spike 500% in a week typically give back 80% within the next month because there is no underlying revenue supporting the price.

Pump-and-dump cycles reward insiders and punish everyone who enters on momentum. The real question is not which token can spike the hardest. It is which protocol generates sustainable upside through revenue mechanics that compound over time without requiring constant new buyers.

Taurox (https://taurox.io/) is a decentralized hedge fund where AI agents will trade pooled capital across DEXs and CEXs once the presale concludes and the pool goes live. The protocol is built around compounding returns, not speculative momentum, and the mechanics are designed to accelerate over time.

How txToken Compounds Your Returns Without You Touching Anything

When stakers deposit into the Taurox (https://taurox.io/) pool, they receive txTokens representing their share of the pool’s value. As agents will execute profitable trades, the pool grows and each txToken’s underlying value increases automatically. There is no claiming process, no manual compounding, and no gas fees to harvest rewards.

The share price simply rises as the pool generates returns. This design eliminates the friction that costs stakers real money on other platforms, where forgetting to compound for a week or paying gas on small claims erodes returns significantly over time. Stakers keep 80% of net profits at the standard tier.

The compounding happens at the protocol level, meaning every profitable trade increases every staker’s position simultaneously. The txToken model also creates clean accounting: your entry price versus current share price tells you exactly what you have earned. No spreadsheets tracking dozens of claim transactions. No missed compounding windows. The protocol does the work, and the share price reflects total accumulated returns in a single number that only moves up when agents generate profit.

The Presale Filling Now Is the Last Time This Entry Exists

Phase 1 of the TAUX (https://taurox.io/) presale sold out in under 24 hours at $0.01. Phase 1 buyers now hold a 20% gain at the current Phase 2 price of $0.012. The presale has raised $329.8K, and Phase 2 is 28.8% filled. Each phase has a fixed allocation that closes permanently when sold out. The price steps up to the next tier, and the previous entry disappears forever. There are no extensions, no repricing, and no second chances at a lower number. Every dollar raised during the presale builds the trading pool that agents will use to generate returns once the pool goes live. Staking activates at the end of the presale.

Buyers entering Phase 2 are locking in a position before the txToken compounding mechanism begins producing returns. The parabolic moves that traders chase in speculative tokens come and go in days. The compounding inside txTokens is designed to accumulate over months and years. Phase 2 is filling, and the entry at $0.012 will not exist once this allocation is gone. The window closes when the tokens sell out, not when a deadline arrives.

From $0.012 to $1.85: The Compounding Math

Phase 2 is live at $0.012. Listing at $0.08 delivers 6.67x from the current entry. A $1 post-listing price is 100x. At a $1 billion pool with 30% gross returns, implied TAUX price reaches $1.85, or x154. Zero management fees. Performance fees of 5% on profits only. Thirty percent of collected fees burn permanently as TAUX. The remaining 70% funds the DAO treasury. Supply is fixed at 2 billion tokens with no minting function.

Each fee cycle compresses circulating supply against a cap that never increases. The txToken model means stakers compound automatically from day one of pool activation. No manual claims, no missed windows, no gas overhead. Full documentation and the whitepaper are at docs.taurox.io. Phase 2 is 28.8% filled and will close when the allocation runs out.

Learn More

Buy TAUX: https://taurox.io/Whitepaper: https://docs.taurox.io/Official Telegram: https://t.me/tauroxlabs

Taurox ProtocolZug, Switzerlandinfo@taurox.iohttps://taurox.io

Taurox is a decentralized autonomous trading protocol. Users pool capital into a shared trading pool. Autonomous AI agents trade it across DEXs and CEXs 24/7. Stakers keep 80% of profits. The TAUX token gates pool access. Fixed 2B supply, non-mintable. 5% performance fee only, 30% burned permanently. Non-custodial. https://docs.taurox.io

This release was published on openPR.

0G Positions as the Blockchain for AI Agents as Industry Moves Toward $1 Trillion Agentic AI Economy | Web3Wire

Web3

By

-

March 21, 2026

0G Positions as the Blockchain for AI Agents as Industry Moves Toward Trillion Agentic AI Economy | Web3Wire

San Francisco, CA, March 21, 2026 (GLOBE NEWSWIRE) — As the AI industry converges on autonomous agents as the next major computing paradigm, with NVIDIA CEO Jensen Huang projecting a $1 trillion agentic AI opportunity at GTC 2026 and OpenAI releasing GPT-5.4 models designed specifically for multi-agent architectures – 0G (Zero Gravity) is staking its position as the blockchain purpose-built for AI agents.

With NVIDIA, OpenAI, and enterprise players racing to build agent infrastructure, 0G delivers the onchain layer.

0G’s Aristotle Mainnet, live since September 2025, provides the three capabilities every autonomous AI agent needs to operate independently: verified compute, persistent memory, and onchain settlement.

Why AI Agents Need Their Own Blockchain

The AI agent economy is accelerating faster than most of the industry anticipated. This week alone:

NVIDIA open-sourced NemoClaw, a guardrails framework for autonomous agents, and projected agentic AI as a trillion-dollar revenue categoryOpenAI launched GPT-5.4 mini and nano – its first models explicitly architected for subagent and multi-agent systemsSolana reported 55 live AI agents generating $52,000 in daily revenueBinance indexed over 1,600 AI agents through its Agent Skills Hub

But agents running on centralized infrastructure inherit a fundamental problem: they depend on providers who can revoke access, monitor inputs, or shut down operations at any time. For AI agents to be truly autonomous, they need infrastructure that no single party controls.

“AI agents are software that makes decisions and takes actions on behalf of users. If those agents run on infrastructure controlled by someone else, they aren’t autonomous – they’re tenants,” said Michael Heinrich, co-founder and CEO of 0G Labs. “We built 0G so that agents can compute, remember, and transact on infrastructure that is open, verified, and permanent.”

0G’s Agent Infrastructure Stack

0G provides the full stack that autonomous agents require:

Verified Compute (Sealed Inference): Every AI inference call is executed inside a hardware enclave (TEE) and cryptographically verified. Agents, and the users who deploy them, can prove that a model ran correctly without exposing inputs or outputs. This is the verification layer that centralized AI providers cannot offer.

Persistent Memory (0G Storage): Agents need to remember context across sessions, store training data, and retrieve information reliably. 0G Storage delivers up to 2 GB/s throughput across a distributed network, giving agents access to persistent, censorship-resistant memory.

Onchain Settlement (0G Chain): An EVM-compatible Layer 1 optimized for AI-native workloads. Agents can execute transactions, manage wallets, interact with DeFi protocols, and settle payments onchain without relying on centralized intermediaries.

Data Availability (0G DA): Purpose-built for AI-scale data, 0G’s DA layer is 50,000x faster and 100x cheaper than Ethereum’s DA layer, enabling agents to post proofs, logs, and state updates at the throughput AI workloads demand.

Traction

0G’s agent infrastructure thesis is backed by real adoption:

100+ ecosystem partners including Chainlink, Google Cloud, and Alibaba Cloud$290M in total funding from Hack VC, Delphi Digital, OKX Ventures, Samsung Next, and Animoca Brands$20M Apollo AI Accelerator with Stanford blockchain veterans funding teams building on 0GSealed Inference launched March 2026, cryptographically private AI compute, live in productionAPAC Hackathon ($150K prize pool) with HackQuest, focused on AI and blockchain innovationBitkub Exchange listing and Bitkub Academy partnership expanding 0G’s presence across Southeast AsiaNVIDIA Inception member, recognized as an emerging AI infrastructure companyGeth-to-Reth validator migration completed, improving mainnet performance and reliability

The Positioning

While the rest of the industry debates whether AI agents are a bubble or the future, 0G is building the rails. The company sees its role clearly: not as an AI model provider, not as an agent launchpad, but as the foundational blockchain layer where agents operate with the same guarantees of verifiability, persistence, and censorship resistance that blockchains provide to financial transactions.

“Every major technology shift produces a new infrastructure layer. The internet produced cloud computing. Mobile produced app stores. AI agents will produce agent-native blockchains,” said Heinrich. “That’s what 0G is.”

About 0G Labs

0G Labs is the creator of the world’s first decentralized AI operating system. Backed by $290M in funding from investors including Hack VC, Delphi Digital, OKX Ventures, Samsung Next, Bankless Ventures, and Animoca Brands, 0G Labs launched its Aristotle Mainnet in September 2025 with over 100 ecosystem partners including Chainlink, Google Cloud, and Alibaba Cloud. 0G’s infrastructure spans compute, storage, data availability, and a purpose-built Layer 1 blockchain, delivering the full stack for decentralized AI. Learn more at 0g.ai.

About 0G Foundation

The 0G Foundation drives innovation and growth within the 0G ecosystem. It maintains the decentralized AI operating system fueled by the $0G token, and supports ecosystem development and community governance. The Foundation works to ensure that AI infrastructure remains open, verifiable, and accessible to builders worldwide. Learn more at 0gfoundation.ai.

AI agents are software that makes decisions and takes actions on behalf of users. If those agents run on infrastructure controlled by someone else, they aren’t autonomous – they’re tenants.

Press Inquiries

pr@0g.aihttps://0g.ai

Strategy Now Holds $54 Billion in Bitcoin—These Are Its Biggest Buys – Decrypt

Web3

By

-

March 21, 2026

Strategy Now Holds Billion in Bitcoin—These Are Its Biggest Buys – Decrypt

Software firm turned Bitcoin treasury company Strategy has been buying BTC for more than five years, pioneering the growing trend of publicly traded firms that are adding cryptocurrencies to their balance sheets.

What started as a way to “maximize long-term value for shareholders” has transformed into an industry-shifting paradigm that has been further fueled by greater entwinement of traditional financial markets and crypto.

Along the way, Strategy has accumulated 761,068 BTC, or about 3.6% of the fixed 21 million total Bitcoin supply—a stash worth nearly $54 billion at today’s Bitcoin price above $70,000.

Regardless of how high Bitcoin’s price goes, though, Strategy co-founder and Executive Chairman Michael Saylor has committed to “buying the top forever,” pulling up the firm’s average entry price to about $75,700 per Bitcoin—over seven times the average cost of the firm’s first Bitcoin purchase.

Below, we look back at Strategy’s seven largest Bitcoin purchases to date and their immediate impacts on the price of Bitcoin, marked from the time of Saylor’s announcements via social media.

#1) 55,500 BTC – November 25, 2024

Average price: $97,862 Total spend: $5.4 billion

Michael Saylor announced Strategy’s largest-ever purchase of Bitcoin, by both BTC and USD denominations, on November 25 in 2024. The purchase of 55,500 Bitcoin surpassed its previous top acquisition by more than $800 million.

In the hours after the Saylor announcement, Bitcoin dropped by about $4,000 to under $94,000, a 4% decrease from the average price paid by Strategy.

MicroStrategy has acquired 55,500 BTC for ~$5.4 billion at ~$97,862 per #bitcoin and has achieved BTC Yield of 35.2% QTD and 59.3% YTD. As of 11/24/2024, we hodl 386,700 $BTC acquired for ~$21.9 billion at ~$56,761 per bitcoin. $MSTR https://t.co/79ExzXk4UM

— Michael Saylor (@saylor) November 25, 2024

2) 51,780 BTC – Nov. 18, 2024

Average price: $88,627Total spend: $4.6 billion

The second-largest Bitcoin purchase in Strategy history came just one week before its largest-ever purchase. Though Bitcoin dropped shortly in the hour following the announcement, a rebound followed, and it reached a daily high of $92,653, just 2% shy of its all-time high price, according to data from CoinGecko.

The following day, Bitcoin hit a new all-time high price above $94,000. Strategy’s purchase brought its holdings to 331,200 BTC.

3) 29,646 BTC – Dec. 21, 2020

Average price: $21,925Total spend: $650 million

Strategy’s third-largest Bitcoin purchase took place in December 2020 amid rising Bitcoin prices and bull market sentiment. The firm disclosed a purchase of 29,645 BTC for its fourth-ever Bitcoin acquisition.

Despite the purchase being the largest for Strategy at the time, Bitcoin price’s was relatively unchanged in the 24 hours around the announcement. Data from CoinGecko showcases a Bitcoin open price of $23,518 on December 21, closing one day later at $23,795 for a negligible gain.

4) 27,200 BTC – Nov. 11, 2024

Average price: $74,463Total spend: $2.03 billion

Less than one week after Donald Trump won his second election, Strategy announced a purchase of 27,200 Bitcoin. That stash was purchased during the timeframe of October 31 to November 10, a time in which Bitcoin ranged in price from $72,000 to $80,000.

However, following the Saylor announcement on the morning of November 11, Bitcoin moved violently upwards, closing the day at $88,637—a move of more than 10%—after setting yet another new all-time high price after the election.

5) 22,337 BTC – March 16, 2026

Average price: $70,194Total spend: $1.57 billion

Strategy made its largest purchase of 2026 near the end of the first quarter, grabbing 22,337 BTC valued at $1.57 billion at the time of purchase.

The purchase is good enough for its fifth-largest Bitcoin-denominated buy of all time, with this large buy spurred by continued sales of its preferred stock offering—Stretch (STRC)—which pays a dividend to holders and is occasionally issued when it trades above $100. When that is the case, the firm takes the funds raised from its issuance and buys more Bitcoin.

While most of the firm’s largest buys have typically been met with falling prices shortly after its purchase, BTC actually ranged upwards from the average purchase price of $70,194, breaching $75,000 on the same day the purchase was announced. In the days that followed, however, the price did retreat, briefly back to under $70,000.

6) 22,305 BTC – January 20, 2026

Average price: $95,284Total spend: $2.1 billion

Strategy went more than nine months without a splashy weekly Bitcoin purchase of $2 billion or more before nabbing 22,305 BTC for $2.1 billion in January 2026.

That purchase was good enough for its sixth-largest of all-time by Bitcoin denomination, though it falls just short of its December 9, 2024 acquisition of 21,550 BTC at around $99,000 per coin when comparing overall USD spend.

Announced on January 20, the firm’s latest major acquisition came with an average price of $95,284—but amid growing trade tariff concerns and President Donald Trump’s push to acquire Greenland, the top crypto asset sold off in the days that followed.

At the time of the announcement, it had already fallen to around $90,000, and at one point the following day was trading as low as $87,650 according to data from CoinGecko—more than 8% below Strategy’s acquisition mark.

7) 22,048 Bitcoin – March 31, 2025

Average price: $89,969 Total spend: $1.92 billion

Strategy purchased nearly $2 billion in Bitcoin in February 2025 before following it up a month later with its sixth-largest purchase (as denominated in BTC) on March 31.

The firm added 22,048 BTC for around $1.92 billion amid market uncertainty caused by President Donald Trump’s tariff-fueled trade war. The purchase bumped the firm’s treasury to more than 528,000 Bitcoin at the time, but sent the share price of MSTR down, dropping approximately 3% when markets opened before rebounding.

But Bitcoin would finish the first quarter on a downward trend, closing on March 31 at $82,514, more than $7,000 below Saylor’s reported average price.

The purchase marked a string of three straight weeks with a Bitcoin buy for the company, which was snapped in the following week. However, when buys restarted two weeks later, Strategy would go on to disclose weekly Bitcoin purchases for more than 3 months.

Editor’s note: This story was originally published on November 19, 2024, and last updated with new details on March 21, 2026.

Daily Debrief Newsletter

Start every day with the top news stories right now, plus original features, a podcast, videos and more.

Playnance’s G Coin turns launch week into a real-time growth test

Web3

By

-

March 21, 2026

Playnance’s G Coin turns launch week into a real-time growth test

Disclosure: This is a paid article. Readers should conduct further research prior to taking any actions. Learn more ›

From presale traction to market debut

As recently as March 13, G Coin was still being framed as a token entering the market with measurable traction already in place.

Reports citing Playnance’s public tracker said the token had more than 200,000 holders and an estimated market capitalization of about $38 million ahead of its March 18 token generation event.

Playnance’s own documentation describes G Coin as the utility layer for gameplay, rewards, partner revenue distribution, and treasury flows, all running on PlayBlock, which the company says provides gasless execution, deterministic settlement, and sub-second finality.

That backdrop matters because G Coin was not launched as a blank-slate asset. Exchange-distributed coverage tied to Playnance’s launch materials said the broader ecosystem already supported more than 10,000 on-chain games, integrated with over 30 game studios, and processed roughly 2 million on-chain transactions per day.

In other words, the market was not just being asked to price a token, it was being asked to price activity that Playnance says is already happening across gaming, prediction markets, and other entertainment products.

Staking became the first hard signal

The clearest growth signal this week came from staking. On March 16, Playnance rolled out GCOIN staking on PlayW3, and launch coverage said more than 250 million tokens were locked within hours. The program lets users stake a minimum of 1,000 GCOIN across four lock periods, 6, 9, 12, and 18 months.

Rewards begin accruing after 24 hours, while early withdrawals remain possible but forfeit rewards. Playnance also said the model ties rewards to ecosystem activity rather than fixed token inflation, a structure designed to align participation with platform usage while trimming immediately circulating supply.

By March 18, that signal had strengthened. MEXC coverage around the market debut said more than 1 billion GCOIN were already locked in staking within hours of launch, as GCOIN/USDT went live following the token generation event.

A later March 19 report, citing the live tracker, said holders had climbed to 623,272, total sold tokens reached 13.981 billion, and 3.202 billion tokens remained locked. Compared with the 203,732 holders cited in March 18 coverage, that would imply roughly 3.1x holder growth in little more than a day.

Why the tracker matters now

That is why Playnance’s public G Coin Tracker has become more than a marketing page. It is now the most visible dashboard for testing the project’s launch-week claims in real time.

Indexed tracker snippets surfaced to search show the page tracking holders, price, growth, sold tokens, and market cap, while separate indexed snippets point to more than 3.15 billion G Coin in locked treasury categories.

In a market where many tokens reach exchanges before proving utility, Playnance is making the opposite pitch, utility first, then liquidity, with the tracker acting as the public scorecard.

The next question is whether that momentum survives once launch-week attention fades. For now, the past week shows a project moving through the phases that matter most, presale distribution, staking participation, exchange access, and transparent public tracking, with each step giving the market more data to judge whether Playnance’s growth story is durable.

Disclaimer: This was a sponsored post brought to you by Playnance.

Mentioned in this article