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Senate Investigation Finds 84% of Sanctioned Iran-Linked Crypto Wallets Used USDT

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The latest confrontation between U.S. sanctions policy and the cryptocurrency industry is putting Tether’s USDT at the center of a larger debate over how stablecoins are used in the global financial system.

A new investigation by Democratic members of the U.S. Senate Permanent Subcommittee on Investigations found that 84% of 846 cryptocurrency wallets sanctioned or targeted for seizure because of links to Iran and regional proxies had transacted exclusively or nearly exclusively in USDT.

The finding highlights the unusual position of stablecoins in modern finance. USDT is designed to track the U.S. dollar, giving users access to a digital representation of dollar value without necessarily relying on traditional banks.

Its liquidity, global availability and blockchain-based settlement can make it useful for legitimate payments and trading, but the same characteristics can also make it attractive to networks attempting to move money outside conventional financial channels.

According to the Senate investigation, Iranian-linked wallets used USDT to move funds across borders, support financial operations and interact with networks connected to the Iranian government and regional proxies.

Investigators described the activity as part of what they characterize as Iran’s “shadow banking” system. The report also raised concerns about cryptocurrency transactions associated with procurement and other activities connected to Iran.

The investigation does not establish that Tether itself intentionally facilitated Iranian sanctions evasion. Rather, it raises questions about the effectiveness and timing of the company’s compliance controls.

Investigators argued that some wallets remained active after authorities had identified them, allowing additional funds to move before freezes occurred. A subsequent preliminary report said more than $34.6 million moved through certain Iran-linked wallets before Tether froze them.

Tether has presented a substantially different picture of its role. The company says its ability to freeze USDT is precisely what makes blockchain-based finance traceable and enforceable.

Tether reported that it supported the freezing of approximately $550 million in Iran-linked USDT during 2026. That figure includes more than $344 million frozen across two addresses in April and more than $130 million across four wallets in July.

The company said the April addresses were subsequently identified by the U.S. Treasury’s Office of Foreign Assets Control as digital-currency identifiers connected to Iran’s Central Bank. That creates an important contradiction at the heart of the debate.

The same infrastructure that investigators say has enabled sanctioned networks to access dollar liquidity also gives authorities a mechanism to identify, trace and freeze digital assets.

Unlike physical cash, blockchain transactions leave a permanent public record, allowing investigators and analytics firms to follow flows between addresses. The controversy therefore extends beyond Tether and Iran.

It raises broader questions about stablecoin regulation, issuer responsibilities and the role of centralized token issuers in decentralized financial networks. If stablecoins become increasingly important for international payments.

Regulators will face pressure to ensure that issuers can respond quickly to sanctions while preserving legitimate financial access. The Senate investigation represents another test of its compliance framework as USDT becomes increasingly embedded in global finance.

For policymakers, the case demonstrates that sanctions enforcement is no longer confined to banks and traditional payment systems. And for the cryptocurrency industry, it underscores a fundamental reality.

Stablecoins may operate on public blockchains, but their economic influence increasingly intersects with the rules of the conventional financial system.

How Crypto Projects Build a KOL List in 2026: A Practical Guide for Founders

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Most founders meet the KOL question late. The token contract is audited, the listing date is close, and someone on the team says the launch needs voices. What follows is usually a rushed search through X, a handful of direct messages, and a spreadsheet with names and follower counts. That spreadsheet rarely survives the first campaign.

A KOL list works better when it is treated like a sales pipeline: built on purpose, filled with data you can check, and updated after every campaign. This guide walks through that process step by step, from setting goals to keeping the list useful months after launch.

Start with the outcome, not the names

Before anyone opens a search bar, write down what the campaign has to achieve. A token generation event, a testnet, a wallet app and an exchange listing all need different people. Awareness for a new narrative calls for voices that set the agenda. Testnet sign-ups call for educators who can walk an audience through a setup. Trading volume after a listing pulls in a different crowd again, and it carries the highest reputational risk.

Pick one primary goal and one secondary goal, then define how each will be measured: wallet connections, Discord or Telegram joins from tracked links, app installs, waitlist entries. If you cannot name the metric, you will end up judging creators on likes, and likes are the easiest thing in crypto to fake.

Define the audience by region and language

The second decision is geography. Crypto adoption is spread unevenly, and the creators who move users in one market are often invisible in another. A payments product aimed at Nigeria, Kenya or Ghana needs voices that local users already follow, and many of those creators publish in English, Pidgin or Swahili, mostly on X, YouTube and in Telegram groups. Projects targeting Southeast Asia will find a lot of the conversation in Vietnamese, Indonesian, Thai and Filipino communities, often on Telegram and local video platforms. In Latin America, Spanish and Portuguese creators drive much of the activity, with Brazil, Argentina and Mexico behaving as separate markets.

Write the target countries and languages at the top of the list. Every candidate added later should be checked against them. A creator with a large following that sits almost entirely in the wrong region adds cost and noise, not users.

Choose a tier mix

Tiers keep the list balanced. The labels vary between teams, but a common split looks like this:

  • Macro KOLs have broad reach and set the tone for a narrative. They are slow to book, selective, and best used for a single anchor moment.
  • Mid-tier KOLs tend to have focused audiences in one niche, such as DeFi, gaming or Layer 2 ecosystems, and often produce the most detailed content.
  • Micro KOLs run smaller accounts, channels and groups, frequently in a single language or city. Their audiences are close to them, and replies read like conversations rather than applause.

For most launches, the working list should lean toward mid-tier and micro creators, with a small number of macro names held for the moment that matters most. Regional campaigns in particular tend to depend on micro creators, because they are often the only voices that speak the local language to the right people.

Where to find candidates

X remains the main place for crypto discussion. Search by ticker, by the names of competing projects, and by the topics your product touches. Look at who replies with substance under posts from established analysts; those accounts often become the next mid-tier voices.

YouTube is stronger for long explainers, tutorials and product walkthroughs. Search for reviews of comparable products in your target languages, then check the channels that appear more than once. Telegram matters most for regional audiences: channels and group chats in Africa, Asia and Latin America often carry more active readers than public feeds. Local communities also count, including university blockchain clubs, developer meetups, hackathon organisers and regional Discord servers.

Curated directories speed up the first pass. A sorted crypto KOL list grouped by niche and region can point you toward names worth checking, but treat any directory as a starting pool, not a shortlist.

What to record for every KOL

The value of the list is in its columns. For each candidate, capture:

  • Niche: the topics they actually cover, based on recent posts, not their bio.
  • Audience geography and language: where their followers or subscribers are, taken from native analytics screenshots where possible.
  • Real views per post: the typical view count on ordinary posts, excluding giveaways and one viral outlier.
  • Engagement quality: whether replies ask questions and argue points, or repeat generic praise.
  • Disclosure history: whether past sponsored posts were clearly labelled as paid or partnered content.
  • Past sponsored results: how earlier paid posts performed against their normal content, and what happened to the projects they promoted.
  • Format and platform: threads, videos, spaces, channel posts or group AMAs.
  • Contact route and status: how to reach them and where the conversation stands.

Add a date to each row. A view count from six months ago says little about reach today.

Score and shortlist

Once the rows are filled, give each candidate a simple score. Many teams use a five-point scale on four factors: audience fit with the target region, niche fit with the product, reach quality, and trust signals such as clean disclosure and a track record without abandoned or collapsed projects. Weight the factors according to the goal. A testnet campaign might weight niche fit heavily, while a regional expansion puts geography first.

Cut anyone who fails a hard filter, regardless of score: undisclosed paid promotions, a history of pushing projects that later rugged, or an audience that is mostly outside your markets. The shortlist should end up smaller than feels comfortable. It is easier to add creators in a second wave than to recover from a poor first one.

Outreach and briefing basics

Reach out with a short, specific message: what the product does, why their audience in particular would care, what format you have in mind, and the timing.

The brief should cover key facts about the product, the claims they must not make, required disclosure wording, tracked links or codes, the posting window, and a contact for technical questions. Leave room for their own voice. Audiences can tell when a creator is reading a script, and heavily scripted posts tend to underperform the creator’s normal content. Never ask for price predictions or return promises; that exposes both the project and the creator to regulatory trouble in many jurisdictions.

Keep the list fresh after the campaign

The campaign is where the list starts earning its keep. Within a week or two of publication, add results to each row: views, clicks, sign-ups or wallet connections from tracked links, the tone of replies, and whether the creator delivered on time and followed the brief. Mark who you would work with again and who you would not.

Review the whole list on a regular schedule, quarterly for most teams. Check whether view counts have held up, whether creators have shifted niche, and whether any have been tied to projects that failed. Remove dead rows and add names found during the campaign, often in the replies under your own sponsored posts.

Common mistakes

  • Building the list a week before launch, which leaves no time for checks.
  • Ranking creators by follower count instead of real views and audience location.
  • Spending the whole budget on one or two macro names.
  • Ignoring non-English creators in the markets you want to grow in.
  • Skipping disclosure in the brief and hoping nobody notices.
  • Treating the list as finished after one campaign.

A KOL list is not a marketing expense that disappears after launch day. Kept current, it becomes one of the more useful assets a crypto team owns: a record of who reaches which audience, and how well. The teams that treat it that way spend less time searching and more time working with people their users already trust.

Hyperliquid Price Prediction: HYPE Holds Near $90 After ATH as BlockDAG’s BDAG300 Bonus Goes Live

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Hyperliquid price prediction chatter this week is impossible to separate from one number: HYPE hit a fresh all-time high of $97.96 on September 23 before settling back into the 91.50 range. That kind of move tends to pull attention, but it’s not the only thing worth watching. BlockDAG has just activated its own time-limited bonus event, and the contrast between the two is worth understanding.

Hyperliquid Price Prediction: HyperEVM Growth Meets Fresh ETF Milestones

The HYPE price story is built on real infrastructure growth. HyperEVM now gives Solidity smart contracts direct read and write access to Hyperliquid’s native central limit order book, a feature that’s spurred a wave of delta-hedged LP vaults, lending protocol expansion, and liquid-staking tokens. On the institutional side, spot ETFs tracking HYPE have crossed $500 million in AUM, and Binance officially listed HYPE spot trading pairs in late September, a meaningful liquidity and visibility boost.

There’s a complicating factor too: a major contributor token unlock of roughly 9.9 million HYPE hit in September, creating short-term volatility as early venture holders rotated positions, even as institutional whales kept building multi-million-token stakes. For the short-term Hyperliquid price prediction, core support sits at $88, the 20-day EMA, with psychological resistance at $100.

A Hyperliquid price prediction extending into year-end generally lands between $120 and $135, contingent on HyperEVM’s total value locked continuing to expand. HYPE price action remains sensitive to unlock-driven supply, which is worth watching closely.

BlockDAG (BDAG): A Bonus Event Running on Its Own Terms

While HYPE’s next leg depends on TVL growth and unlock pressure working itself out, BlockDAG is offering something buyers can act on immediately. Its BDAG300 bonus, live for 48 hours only, hands buyers 300% extra coins, a full 4X stack, on both New BDAG and Legacy BDAG at $0.0000000037. The same code extends to TURBO, BlockDAG’s newer utility token, now priced at $0.00077. No waitlist, no application process, just the code applied at checkout.

The bonus isn’t standing alone, either. Casino, X1 Mining, and Staking are all live and recently upgraded, meaning BDAG picked up during this window is immediately eligible for use across a functioning ecosystem rather than waiting on a future roadmap milestone. The USDT buyback price holds steady at $0.03, giving buyers a fixed reference point underneath the bonus mechanics.

Where HYPE’s price has to work through real unlock supply before its next leg, BlockDAG’s current offer is fully published: a fixed entry price, a fixed bonus multiplier, and a fixed 48-hour clock.

The Verdict

HYPE’s path toward 135 is backed by genuine HyperEVM adoption, but it also has to absorb real unlock-driven supply along the way, a credible but bumpier setup. BlockDAG’s BDAG300 event sidesteps that entirely, offering a defined opportunity with a defined end time instead. Anyone weighing a Hyperliquid price prediction against a live presale bonus is really choosing between two different kinds of risk, one tied to unlock schedules, the other to a closing clock.

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SpaceX Starship Reaches Orbit and Deploys 26 Starlink Satellites in Dramatic Test Flight

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The most dramatic Starship launch yet has given SpaceX something it has been chasing through years of spectacular failures, fiery explosions and incremental engineering improvements: evidence that its giant rocket can finally begin behaving like an operational space vehicle.

Starship completed its 14th full-scale test flight from SpaceX’s Starbase facility in South Texas. The mission delivered two particularly important milestones. First, Starship reached Earth orbit for the first time. Second, it successfully deployed 26 next-generation Starlink V3 satellites, making the flight the rocket’s first mission to carry operational, revenue-generating payloads into orbit.

The achievement was anything but routine. Shortly after liftoff, one of Starship’s six Raptor engines shut down, threatening to derail the mission. For several tense minutes, it appeared that SpaceX might have to abandon its attempt to reach orbit.

Instead, engineers assessed the vehicle’s condition and decided to continue. The remaining engines provided enough performance for Starship to execute its orbital maneuver. That decision transformed the launch from another engineering test into a demonstration of resilience.

Reaching orbit matters because previous Starship flights had deliberately remained on suborbital trajectories. This time, the vehicle accelerated to the velocity required to complete an orbit around Earth.

The achievement moves Starship closer to the commercial role SpaceX has envisioned for it: a massive, reusable transportation system capable of moving satellites, cargo and eventually people into space at a much higher cadence.

The Starlink deployment was arguably just as significant. Starship released 26 V3 satellites while in low Earth orbit. These satellites are part of SpaceX’s next-generation broadband architecture and demonstrate that Starship can do more than survive a test flight. It can begin performing the economic work for which it was designed: placing useful payloads into space.

Yet the mission also exposed how much remains unfinished. SpaceX originally planned a roughly 10-hour flight involving six orbits. Instead, the mission was shortened after the engine problem, with Starship returning to Earth after only a few hours.

The spacecraft splashed down in the Pacific near Hawaii after completing its orbital objectives. The dramatic ending underscored the distinction between reaching orbit and having a fully operational reusable transportation system.

That distinction is particularly important for NASA. Starship is central to NASA’s Artemis plans for returning astronauts to the Moon, meaning SpaceX must demonstrate far more than a successful orbital insertion.

Future missions will require reliable reentry, rapid refurbishment, crew-support systems, orbital refueling and eventually sophisticated recovery operations. The broader economic implications are equally substantial. If SpaceX can turn Starship into a rapidly reusable launch platform.

The economics of orbital infrastructure could change dramatically. More frequent and potentially cheaper launches could accelerate Starlink deployment, commercial satellites, scientific missions and eventually new space-based infrastructure.

Starship remains a work in progress. Its 14th flight did not prove that the rocket is finished. It proved something more specific—and perhaps more important: the architecture can reach orbit and deliver real payloads despite an in-flight engine failure.

That is a significant step. The spectacular explosions that once defined Starship testing are gradually being replaced by something more consequential: a rocket learning how to become infrastructure.

Anthropic Seeks $2tn Valuation in IPO, But Warns AI Poses “Catastrophic Or Existential Risk To Humanity”

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Anthropic is preparing investors for an unusually candid account of the risks behind its push to become one of the world’s most valuable artificial intelligence companies, warning that sophisticated AI systems could pose “catastrophic or existential risk to humanity” even as the company pursues a valuation of about $2 trillion.

The warning, contained in Anthropic’s confidential IPO filing, offers a striking contrast between the company’s extraordinary commercial ambitions and the risks, costs and dependencies underpinning its rapid expansion. According to reports on the filing, about 80 of its 261 pages are devoted to technology risks, compared with 48 pages covering the company’s business.

The filing reportedly warns that future AI systems could exhibit self-preserving behavior, including resisting shutdown, concealing or manipulating information, and engaging in behavior resembling blackmail. The disclosures come as Anthropic and its rivals face growing pressure to demonstrate that autonomous systems can be deployed without creating unacceptable safety and security risks.

Anthropic CEO Dario Amodei has been among the most prominent technology executives warning about the potential consequences of increasingly capable AI. He has argued that the industry should slow the pace at which frontier models improve, while maintaining the United States’ lead over China.

The company’s IPO disclosures now place those warnings alongside the financial case investors will have to assess.

Anthropic reported nearly $4.6 billion in revenue in 2025, a roughly 12-fold increase from the previous year, according to the reported filing. But the rapid expansion came with operating losses of more than $8 billion.

The company is also pursuing an exceptionally capital-intensive growth strategy. Its long-term computing and hosting commitments rose from $54.6 billion at the end of 2025 to more than $417 billion by early 2026, covering 3.5 gigawatts of dedicated computing capacity, according to the filing.

The AI giant’s financial status has raised a major question for prospective investors: how much future revenue will be required to support the infrastructure commitments being made today?

Anthropic expects consumption-based revenue, generated when customers use its Claude models, to account for the “substantial majority” of revenue for the foreseeable future. About $3.8 billion of its 2025 revenue came from usage-based customers, while subscriptions contributed $789 million.

That model can produce rapid revenue growth when AI usage accelerates, but it also ties Anthropic’s economics closely to computing costs. As customers make heavier use of Claude, Anthropic must supply more inference capacity, creating a direct relationship between revenue growth and infrastructure spending.

The company is also increasingly dependent on a small number of customers and technology partners.

Two unnamed customers each accounted for 12% of Anthropic’s revenue last year, meaning nearly a quarter of sales came from only two customers, according to Reuters. Anthropic warned that many of its largest customers are not locked into long-term contracts and could reduce or stop their spending.

That concentration adds another layer of risk to a company seeking a valuation of roughly $2 trillion.

Cloud Giants Are Customers, Suppliers and Investors

Amazon and Alphabet’s Google have become particularly important to Anthropic’s business. Reuters reported that the two companies accounted for 47% of Anthropic’s sales last year through their cloud marketplaces, up sharply from 32% in 2024 and 11% in 2023. About $2.16 billion of Anthropic’s 2025 revenue came through those marketplaces.

The arrangement gives Anthropic access to the enormous corporate distribution networks of Amazon Web Services and Google Cloud. It also allows businesses already operating on those platforms to purchase Claude without establishing an entirely separate technology relationship.

But the same arrangement creates dependencies that Anthropic itself acknowledges.

The company paid approximately $351 million in distribution fees to cloud platforms, according to a Reuters analysis, equivalent to roughly 16 cents for every dollar of marketplace sales. Anthropic records the full value of marketplace contracts as revenue and treats the cloud providers’ share as a sales and marketing expense.

Anthropic says this accounting is consistent with established accounting practices because it acts as the principal in the transactions.

The relationships are unusually complex because Amazon and Google are simultaneously investors in Anthropic, major suppliers of computing infrastructure, and competitors in the AI market.

Anthropic warned that dependence on a limited number of partners and suppliers could result in conflicts of interest and potentially affect its access to computing capacity.

The cloud companies also have visibility into Anthropic’s pricing and commercial terms, potentially giving them information that could influence decisions about computing allocation and the promotion of competing AI products.

Amazon and Google were responsible for collecting 60% of Anthropic’s $909 million in outstanding customer bills at the end of 2025, up from 42% a year earlier.

The company’s infrastructure commitments make that dependence more consequential. Anthropic has entered into massive agreements for computing capacity while relying on companies that also have their own AI models and strategic interests.

The arrangement is therefore not considered a conventional cloud customer relationship. Anthropic is simultaneously building its business through the same infrastructure companies that help finance it, distribute its products, and compete with it.

That structure has become a defining feature of the frontier AI economy.

Anthropic’s ability to justify a multitrillion-dollar valuation will now depend not only on how quickly Claude adoption expands, but also on whether the company can convert that usage into sustainable economics while managing enormous infrastructure commitments. The company’s prospectus is effectively asking investors to finance that next stage of expansion while explicitly warning them about the technological risks attached to the products being developed.

The tension is expected to impact the company’s future because its strategy depends on continued advances in AI capabilities even as its leadership argues that the industry needs greater caution around those same advances.