BITZ0

PHILADELPHIA, April 13, 2026 /PRNewswire/ -- The following statement is being issued by Kroll Settlement Administration on behalf of the United States Department of Justice regarding the OneCoin Cryptocurrency Remission Program ("Remission Program").

What is this about?

The Department of Justice has commenced a petition for remission process to compensate fraud victims who invested in the fraudulent cryptocurrency platform, OneCoin, between 2014 and 2019. The United States Attorney's Office for the Southern District of New York filed a number of OneCoin-related prosecutions in the Southern District of New York.

Between 2014 and 2019, Ruja Ignatova and Karl Sebastian Greenwood, co-founders of OneCoin Ltd., and others, orchestrated a large, international cryptocurrency investment scheme defrauding investors from around the globe. The scheme involved the marketing and sale of fraudulent cryptocurrency, resulting in significant financial losses for victims worldwide. The United States Attorney's Office in the Southern District of New York pursued criminal forfeiture of proceeds of the fraud scheme and the net proceeds of those forfeited assets will be available to compensate victims through the remission process. Victims affected by the OneCoin scheme may file petitions for remission to receive compensation.

Who is eligible for compensation?

Victims who purchased OneCoin cryptocurrency between 2014 and 2019 and experienced a net loss of the investment when accounting for any completed withdrawals or collateral recoveries may be eligible to receive compensation in this matter. However, submission of a petition for remission does not guarantee payment. Neither the Department of Justice nor the Remission Administrator charge fees for you to file a petition or to participate in the remission process. Additionally, you do not need an attorney to file a petition.

What options do victims have?

Submit a Petition Form by June 30, 2026: To participate in this Remission Program, you must submit a completed petition form. As part of your submission, you will be asked to verify monetary losses that were incurred as a result of the scheme. Documentation to support all claimed losses must be included with the submission of your petition form. Petitions for remission can be submitted by mail or online on www.onecoinremission.com.

Do Nothing: If you do not wish to participate in the Remission Program, you do not need to file a petition form. No further action is necessary. If you do not submit a petition for remission, you will not be considered in the Remission Program.

Get More Information

This is only a summary. More details about the petition for remission process and instructions on how to submit a petition are available as follows:

Visit: www.onecoinremission.com

Call: 1-833-421-9748

Email: info@OneCoinRemission.com

Write: OneCoin Remission, c/o Kroll Settlement Administration LLC, P.O. Box 225391, New York, NY 10150-5391

Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Bitzo, nor is it intended to be used as legal, tax, investment, or financial advice.

Content syndication used to be treated as an afterthought—an added benefit if a story happened to be republished elsewhere. That framing no longer holds. In 2026, syndication has become a structural component of media visibility, shaped as much by algorithms and network dynamics as by editorial intent.

What content syndication means today

At its core, content syndication still describes the distribution of content beyond its original publication. What has changed is the mechanism. A single article now moves through a layered system: direct republication, editorial referencing, algorithmic extraction, and AI-driven redistribution. The result is not a linear flow of exposure, but a networked process in which visibility is continuously redefined.

The three types of syndication

1. Direct syndication

This is the traditional model:

a publication republishes content in full or in part

agreements are explicit (e.g., partnerships, contributor networks)

Control is relatively high. Distribution paths are predictable.

2. Partner syndication

This operates through semi-structured relationships:

editorial collaborations

citation patterns between outlets

industry-specific media clusters

Content is not always republished in full. It is often:

summarized

referenced

embedded into broader narratives

Here, distribution depends on editorial behavior and network positioning.

3. Algorithmic syndication

This is the defining layer in 2026.

Content is redistributed by:

news aggregators

search engines

recommendation systems

LLMs and AI feeds

There is no direct agreement between publisher and distributor. Instead, algorithms decide what gets surfaced, how often, and in what format. This last layer has fundamentally changed how visibility works. Publications are no longer just endpoints for readership; they function as source nodes within a wider information system. Their output feeds into AI-generated answers, curated news feeds, and secondary publications. In many cases, influence now manifests without direct traffic. A piece can shape narratives, inform summaries, or be cited across platforms without users ever visiting the original source.

Why syndication is no longer linear

The old model was sequential:

publish → distribute → measure

The current model is networked:

publish → propagate across multiple paths simultaneously

Content can:

move laterally across peer publications

resurface weeks later through algorithmic systems

gain visibility without direct attribution

Distribution paths overlap and reinforce each other. There is no single “channel” to track.

What shapes syndication today

What determines how far content travels within this system is not a single metric, but a combination of structural factors. Media relationships still matter, particularly for direct and partner syndication. Editorial practices play a defining role, distinguishing outlets that originate narratives from those that amplify them. Increasingly, however, algorithmic systems act as the primary gatekeepers, deciding what is surfaced, prioritized, and reused across digital environments.

The difficulty is that most teams lack the tools to evaluate these dynamics. Standard metrics—traffic, domain authority, reach—capture only a fraction of what syndication represents today. They do not account for how content is redistributed, how often it is cited, or whether it appears in AI-generated outputs. As a result, syndication remains largely invisible at the point where it matters most: before a media decision is made.

This is where the concept of syndication depth becomes critical. Rather than focusing on immediate audience size, it measures how extensively content propagates across the media ecosystem. That includes reprints, citations, presence in aggregators, and visibility within AI systems. It is a structural indicator of influence, not just exposure.

Measuring Syndication Depth with Outset Media Index

Outset Media Index (OMI) is built around this shift. By consolidating fragmented signals into a unified analytical framework, it allows media teams to analyse outlets across multiple dimensions, including reach, engagement, LLM visibility, and syndication depth. The platform relies on a standardized system of over 37 metrics to provide a consistent basis for comparison and decision-making. Instead of interpreting conflicting data points in isolation, teams can assess how a publication performs within the broader information network.

The practical implication is straightforward. Media selection is no longer just about where content appears first. It is about where content travels. Choosing an outlet now means choosing a distribution profile: how content will be picked up, where it will resurface, and whether it will contribute to ongoing narratives.

Syndication, in this sense, is no longer incidental. It is engineered. Visibility is shaped by systems—editorial, relational, and algorithmic—and those systems can be analyzed. The advantage shifts to teams that treat distribution as a design problem rather than a post-publication outcome.

The industry has spent years optimizing for placement. The next phase is optimizing for propagation.

Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Saat pasar pertengahan April 2026 berkembang, narasi "Move-VM"—yang berfokus pada lingkungan eksekusi berkinerja tinggi dari Aptos dan Sui—mendapatkan suntikan likuiditas baru. Dengan gelombang listing CEX Tier-1 baru dan pasangan perpetual yang canggih memasuki pasar, infrastruktur untuk lari spekulatif secara resmi sudah tersedia. Namun, catatan menunjukkan kisah kehati-hatian: meskipun likuiditas telah meningkat, struktur teknis tetap terjebak dalam penggilingan pasca-penurunan. Investor kini harus memutuskan apakah rantai ini benar-benar berbalik arah atau sekadar menyediakan keluar yang lebih baik bagi posisi panjang yang terjebak.

Saat kita memasuki pertengahan April 2026, narasi "Tokenisasi Perusahaan" sekali lagi berkedip hidup. Pilot-pilot berkualitas tinggi yang melibatkan penerbitan aset dunia nyata (RWA) dan pelacakan rantai pasokan korporat sedang menghiasi berita, menempatkan Hedera (HBAR) dan MultiversX (EGLD) kembali di bawah sorotan. Namun, meskipun ada kebisingan fundamental, kedua aset tetap terjebak dalam tren penurunan yang persisten. Bagi para investor, pertanyaannya adalah apakah L1 yang setara institusi ini akhirnya bersiap untuk penilaian ulang berdasarkan adopsi nyata, atau jika berita ini akan sekali lagi dijual ke dalam penurunan yang terikat rentang.

DALLAS, 13 April 2026 /PRNewswire/ -- Cango Inc. (NYSE: CANG) ("Cango" atau "Perusahaan"), sebuah penambang Bitcoin terkemuka yang memanfaatkan operasi globalnya untuk mengembangkan platform energi terintegrasi dan komputasi AI, hari ini mengumumkan peluncuran portal digital resmi untuk anak perusahaannya, EcoHash Technology LLC ('EcoHash' atau 'Anak Perusahaan'). Dapat diakses di www.ecohash.com, platform ini berfungsi sebagai antarmuka utama untuk operasi komputasi berkinerja tinggi (HPC) dan inferensi AI EcoHash. Situs ini dirancang untuk mempermudah keterlibatan strategis dengan dua audiens kunci: pengembang AI yang mencari komputasi dengan latensi rendah dan dekat sumber, serta operator komputasi yang intensif energi yang mengejar jalur modular untuk diversifikasi infrastruktur.

Strategi editorial secara tradisional bergantung pada pengalaman, naluri, dan sinyal parsial. Pendekatan itu tidak efektif dalam lingkungan media yang terfragmentasi di mana perilaku audiens, pola distribusi, dan dinamika pengaruh terus berubah.

Strategi editorial yang didorong oleh data menggantikan intuisi dengan analisis terstruktur. Ini memungkinkan tim untuk membuat keputusan berdasarkan sinyal yang dapat diukur—apa yang berfungsi, apa yang menyebar, dan apa yang membentuk narasi.

Mengapa Perencanaan Editorial yang Didorong oleh Intuisi Tidak Memadai

Tim editorial sering beroperasi dengan visibilitas yang tidak lengkap. Input umum termasuk:

Imagine two crypto projects launch in the same week. One earns a Forbes mention, a Decrypt feature, and three syndicated quotes in industry roundups. The other publishes a press release that generates two paid placements and goes quiet.

Both had the same news. The difference was the crypto PR agency model each one used.

This article defines the two disciplines behind that gap: proactive PR crypto and reactive commentary crypto PR. It shows when each one delivers, and explains why the combination produces results neither can achieve alone.

What Proactive PR Means in Crypto

Proactive PR crypto is outbound. The agency identifies a newsworthy angle from the project's activity and pitches it directly to journalists at selected outlets.

The mechanics are straightforward. The agency takes a milestone, product launch, partnership, data release, or market positioning play and builds a tailored pitch around it. 

That pitch goes to specific journalists matched to each publication's editorial focus, not a blanket distribution list. The goal is earned editorial coverage where the journalist chooses to cover the story based on its merit.

Proactive pitching wins when the project has a genuine milestone to announce, and that milestone aligns with something journalists are already covering. 

A fundraiser during a bull run, a protocol upgrade when DeFi dominates the news cycle, an audit completion when security is the story: timing amplifies the pitch.

What proactive cannot do is produce coverage between milestones. If the project has no news, the agency has nothing to pitch. Campaigns that rely entirely on proactive PR go silent in the gaps, and silence resets the visibility that the last campaign built.

What Reactive PR Means in Crypto

Reactive PR is inbound. The agency monitors journalist requests and market events, then positions the founder as an expert source who responds fast with prepared commentary.

The mechanics work like this: a journalist posts a request for expert insight on a regulatory shift, a major hack, a macro event, or a protocol upgrade. 

The agency spots the opportunity, works with the founder to shape a relevant response, and delivers it within hours. The founder appears as a quoted source in a published article alongside other industry voices.

Reactive commentary crypto PR wins when the project has no major news of its own, but the founder carries genuine expertise on a trending topic. 

It also wins during market events when journalists actively need sources and the competition for placement is lower than people assume, because most crypto teams are too slow to respond or pitch angles that do not fit the journalist's story.

What reactive cannot do is control the narrative. The journalist sets the frame. The founder contributes to it.

 A TGE, an exchange listing, or a fundraise needs its own dedicated coverage, not a quote inside someone else's article. Reactive is not a substitute for proactive when the project has real news.

Why Neither Works Alone

Proactive-only campaigns produce spikes around announcements and silence between them. Reactive-only campaigns produce scattered quotes with no narrative thread connecting them. Neither approach builds the kind of compounding visibility that shifts how journalists, investors, and AI systems perceive a project over time.

How the Combination Compounds

The combination works differently. Proactive pitches create the initial media footprint. Journalists learn who the founder is and what the project does. 

Reactive commentary keeps the founder visible between milestones, and each placed quote reinforces name recognition with the same journalists who received the proactive pitches.

After three to four months of consistent activity across both disciplines, the dynamic shifts. Journalists begin reaching out to the founder directly. 

The project is now on their source list. Coverage moves from outbound effort to inbound pull, which is the most durable form of media presence a crypto brand can build.

Each placement, proactive or reactive, contributes to three compounding outcomes:

Syndication. Coverage republishes across CoinMarketCap, Binance Square, and Google News, multiplying the reach of each original placement without additional effort.

Search authority. Backlinks from high-domain outlets accumulate over time, strengthening the project's organic search presence in ways a single campaign cannot.

AI citation visibility. AI systems draw from published sources when constructing answers. Consistent placements in authoritative outlets build the kind of presence that appears alongside credible competitors in AI-generated responses.

Outset PR's syndication map tracks how coverage spreads after publication, so both proactive pitches and reactive placements target the outlets that trigger the highest republication rates.

The Data Behind the Model

Outset PR's Press Office service, which combines proactive pitching with reactive commentary as a structured ongoing engagement, produced the following results across two clients.

StealthEX ran 8 proactive pitches and 6 reactive commentaries through the model. That activity earned 40 tier-1 mentions in Forbes, The Independent, Business Insider, TheStreet, and Investing.com, generated 92 syndications, and reached 3.62 billion people in total.

Nav Markets ran 4 proactive pitches and 4 reactive commentaries through the same model. That produced 48 tier-1 mentions in AMBCrypto, Cointelegraph, Decrypt, TradingView, and Yahoo Finance, with 37 syndications and 1.32 billion total reach.

Neither result came from a spike. Both came from a sustained cadence that kept each brand visible and responsive across an extended period.

When to Weight Proactive vs Reactive

The right ratio between the two approaches shifts depending on where the project sits in its development. The table below shows how to think about the balance at each stage.

The ratio is not fixed. Projects move between phases, and the agency should adjust the weighting as the project's news cycle changes.

Project phase

Proactive weight

Reactive weight

Why

Pre-launch / early stage

30%

70%

No major news yet. Build founder authority through commentary on industry trends

Launch phase (TGE, listing, fundraise)

80%

20%

Major announcement needs dedicated coverage. Reactive supplements with trend commentary

Sustained growth

50%

50%

Balanced approach keeps coverage flowing between milestones

Crisis period

10%

90%

React fast to the situation. Proactive pitching pauses until the crisis resolves

Three Questions to Ask Your Agency

Most crypto teams do not know which model their agency uses because they never asked. These three questions produce a clear answer.

"How many reactive placements did you produce last month?" 

If the answer is zero, the agency operates proactively only. It pitches when there is news and stops when there is not. The campaign has no mechanism to maintain visibility between milestones.

"Which journalist requests did you respond to on our behalf?" 

If the agency cannot name specific requests and specific publications, it either does not monitor journalist query channels or lacks the relationships to respond within the window journalists need.

"Can you show me the proactive-to-reactive ratio across your active clients?" 

Agencies that track this ratio understand the compounding model. Agencies that do not track it run campaigns in isolation, not a crypto PR strategy built for sustained presence. 

As Outset PR documents in their work on PR as a driver of crypto adoption, sustained visibility is what separates projects that break through from those that stay niche. A single campaign burst does not produce that outcome.

Conclusion

Proactive and reactive PR are not interchangeable. They operate on different triggers, different timelines, and different journalist relationships. 

Used in isolation, each produces limited and temporary results. Used together with the right weighting for the project's phase, they build a performance-based crypto PR engine that compounds over time.

The question for any founder running a PR retainer is straightforward: Does the agency run both disciplines, track the ratio, and show the downstream data on what each placement produces? If the answer is no, the campaign is leaving most of its potential value on the table.

 

 

Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Perang Layer-2 (L2) kembali memanas saat kita memasuki pertengahan April 2026. Dengan gelombang baru insentif ekosistem dan peluncuran aplikasi terkenal yang menghantam mainnet, modal akhirnya mulai berputar kembali ke sektor penskalaan Ethereum. Namun, "Dua Besar" menceritakan kisah yang sangat berbeda di papan: Arbitrum (ARB) telah muncul sebagai pemimpin beta tinggi yang jelas dari kelompok ini, sementara Optimism (OP) tetap terjebak dalam fase dasar, mencari percikan sendiri.

Arbitrum (ARB): Memimpin L2 Bounce, Tapi Terlalu Panas

Saat kita melewati April 2026, narasi "Musim AI" menghadapi tes stres teknis yang nyata untuk pertama kalinya. Protokol komputasi terdesentralisasi dan rendering GPU kembali menjadi berita utama, tetapi dua proksi infrastruktur utama pasar—Bittensor (TAO) dan Render (RNDR)—menunjukkan sinyal yang sangat berbeda. Sementara satu tampaknya sedang mengalami mabuk pasca-rally, yang lain dengan tenang membangun fondasi untuk potensi lonjakan. Berikut adalah bagaimana lanskap AI terdesentralisasi terlihat dari meja perdagangan hari ini.

Asia Tenggara adalah wilayah kripto yang paling cepat berkembang di dunia. APAC mencatat peningkatan aktivitas kripto on-chain sebesar 69% tahun-ke-tahun hingga pertengahan 2025, dengan total nilai transaksi di wilayah tersebut meningkat dari $1,4 triliun menjadi $2,36 triliun. Vietnam, Indonesia, dan Filipina semuanya masuk dalam sepuluh besar global untuk adopsi.

Tapi hampir setiap buku panduan PR yang digunakan di wilayah ini dibangun untuk pasar Barat. Berbagai regulator, berbagai ekosistem media, perilaku audiens yang berbeda. Apa yang berhasil di New York atau London tidak akan berhasil dengan cara yang sama di Jakarta, Ho Chi Minh City, atau Bangkok.

The media ecosystem is not a collection of outlets. It is a dynamic system where information flows, narratives compete, and structural forces shape visibility. Understanding it requires moving beyond isolated metrics toward system-level analysis.

Most media analysis still treats outlets as standalone units. Traffic, domain authority, and reach are evaluated independently. This approach misses how influence actually forms.

A media ecosystem operates more like a network:

Publications are nodes

Content is the signal

Distribution pathways define reach

Reuse, citation, and aggregation determine impact

An article does not gain relevance solely from where it is published. Its influence depends on how it travels—who references it, where it is republished, and whether it enters broader industry narratives.

This is why isolated metrics fail. They describe outputs, not system behavior.

Signals That Define Media Dynamics

To understand the ecosystem, focus on signals that reflect interaction, not just scale.

1. Distribution Signals

These show how content propagates:

Syndication and reprints

Cross-publication citations

Pickup by aggregators and AI systems

Distribution determines whether a story remains local or becomes part of the wider information flow.

2. Engagement Signals

Not all audiences behave the same:

Depth of reading

Return visits

Interaction with content

High traffic with low engagement rarely translates into influence.

3. Narrative Signals

Some outlets shape conversations without dominating volume:

Frequency of being referenced by others

Presence in analytical or research content

Alignment with emerging topics

These signals indicate narrative authority rather than reach.

4. Structural Signals

These define how the ecosystem itself is evolving:

Concentration vs fragmentation of outlets

Shifts toward niche or specialized media

Growth of algorithmic distribution layers

These factors determine how easy or difficult it is to gain visibility.

Outset Media Index (OMI) is a media intelligence platform that formalizes these dimensions through a multidimensional framework that includes reach, engagement, syndication depth, and influence within information flow, rather than relying on a single metric .

Trends Reshaping the Media Market

Fragmentation of Attention

The number of outlets continues to grow, but attention does not scale proportionally. This creates a long tail of publications with limited individual reach but collective relevance.

Rise of Algorithmic Distribution

Search engines, social feeds, and LLMs increasingly act as intermediaries. Content is discovered less through direct visits and more through aggregation layers.

This shifts the focus:

From where content is published

To how content is indexed, interpreted, and redistributed

Decoupling of Traffic and Influence

High-traffic outlets do not always shape narratives. Smaller publications can exert disproportionate influence if they are frequently cited or referenced.

Standardization Pressure

As complexity increases, the need for comparable benchmarks grows. Fragmented metrics create inconsistent decisions, especially when signals conflict across tools .

Structural Shifts in the Ecosystem

From Linear to Networked Information Flow

The traditional model—publisher → audience—is no longer dominant. Information now moves through multi-step pathways:

Publication

Redistribution

Aggregation

Reintegration into new content

Each step amplifies or filters the signal.

From Volume to Positioning

Publishing more content does not guarantee visibility. Position within the network—who references you, where you appear—matters more than output volume.

From Metrics to Models

Raw indicators are insufficient. What matters is how they are interpreted together.

This is where structured systems emerge. Instead of comparing isolated data points, they model relationships between signals.

OMI addresses this by consolidating fragmented inputs into a unified analytical framework, enabling consistent comparison across outlets and revealing how each publication performs within the broader ecosystem .

Why Traditional Media Analysis Falls Short

Most workflows still rely on:

Traffic estimates from one tool

SEO metrics from another

Manual review of editorial fit

These inputs rarely align. More importantly, they do not explain system-level behavior.

As a result:

Decisions depend on intuition

Media lists lack transparency

Campaign outcomes are difficult to predict

The core issue is not lack of data. It is a lack of structure.

The Role of Outset Media Index

Outset Media Index introduces a system-level approach to media ecosystem analysis.

Instead of evaluating outlets in isolation, it:

Standardizes over 37 metrics into a single framework

Maps how outlets perform across reach, engagement, and influence

Provides comparative benchmarking across the ecosystem

Adds context through Outset Data Pulse, which interprets how signals evolve over time

This turns fragmented observations into a coherent model of the media environment.

In practical terms, it allows teams to:

Identify which outlets drive visibility vs narrative impact

Understand how information flows across publications

Detect structural shifts early

Build strategies based on system behavior rather than assumptions

OMI effectively acts as a decision layer, translating complex media signals into actionable insight for planning and positioning .

From Observation to Strategy

Understanding the media ecosystem is not about collecting more data. It is about interpreting relationships:

Which signals reinforce each other

Which outlets amplify others

Where narratives originate and how they spread

This perspective changes how media strategies are built.

Instead of asking:

“Which outlet has the most traffic?”

The relevant questions become:

Where does influence originate?

How does content propagate through the network?

Which nodes shape the narrative over time?

Conclusion

The media ecosystem is evolving toward a networked, signal-driven structure. Visibility is no longer a direct function of reach. It is the result of how information moves, how narratives form, and how structural dynamics shift.

Tools that focus on isolated metrics cannot capture this complexity. Systems that model relationships can.

Outset Media Index reflects this transition. It provides a structured way to analyze the media environment as a whole—turning fragmented signals into a clear view of how influence is built and sustained.

Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Saat pasar memasuki fase baru penemuan harga pada April 2026, "DeFi Kinerja Tinggi" dan "Derivatif On-Chain" sekali lagi mendominasi percakapan trader. Injective (INJ) dan Sui (SUI) telah muncul sebagai kandidat utama untuk memimpin rotasi spekulatif ini. Kedua aset saat ini menunjukkan tanda-tanda "basis tahap awal"—meningkat dari level yang sangat tertekan dengan momentum yang membaik. Namun, pertanyaan tetap ada: apakah mereka siap untuk memimpin leg bullish baru, atau apakah mereka hanya bertahan dalam rentang di pasar yang volatile?

Sementara pasar yang lebih luas tetap terpaku pada perjalanan Bitcoin menuju puncak baru di atas $73.000, dua dari token "pembayaran" asli—Litecoin (LTC) dan Bitcoin Cash (BCH)—diam-diam menyaksikan lonjakan dalam utilitas on-chain. Dari peluncuran testnet LitVM (Layer 2 yang kompatibel dengan EVM Litecoin) hingga upgrade Layla yang sangat dinanti-nantikan pada Bitcoin Cash, koin Proof-of-Work (POW) "penjaga lama" sedang mencoba beralih dari pembayaran murni ke platform kontrak pintar yang dapat diprogram. Namun, meskipun ada peningkatan 40% dalam volume transaksi selama beberapa bulan terakhir, grafik mereka masih mencerminkan rentang siklus akhir yang luas, bukan breakout yang terkonfirmasi.

Chainlink (LINK) dan Avalanche (AVAX) saat ini berada dalam fase stabilisasi yang delicat. Saat kita memasuki minggu kedua bulan April 2026, kedua aset menunjukkan kinerja yang sedikit lebih baik dibandingkan dengan pasar yang lebih luas, namun tidak ada yang secara tegas menetapkan tren kepemimpinan yang jelas di sektor L1–DeFi. Sementara lanskap fundamental sedang berubah—ditandai dengan pengumuman terbaru seperti peluncuran kontrak berjangka CME AVAX yang akan datang dan volume yang memecahkan rekor yang didorong oleh oracle di Polymarket—para investor sedang mempertimbangkan apakah ini adalah awal dari rotasi baru atau langit-langit sementara.

Dalam pasar April 2026 saat ini, Worldcoin (WLD) dan Ethena (ENA) menempati wilayah "post-hype" yang serupa, dengan kedua aset ini berada lebih dari 90% di bawah rekor tertinggi mereka masing-masing. Namun, jalur teknis jangka pendek mereka mulai menyimpang. Sementara ENA menunjukkan tanda-tanda awal pemulihan struktural, WLD tetap terjebak dalam pola dasar yang rapuh, berjuang untuk mengatasi tren penurunan yang berlangsung selama sebulan. Investor kini mempertanyakan apakah ini adalah titik terendah untuk token beta tinggi ini atau sekadar jeda sebelum penurunan yang lebih dalam.

The standard playbook says attention leads activity. When readership rises, markets follow. When traffic fades, momentum is assumed to weaken. That logic no longer holds in crypto.

New data from Outset Data Pulse shows a clear break between media consumption and market behavior. In 2025, crypto-native media traffic fell sharply while underlying market activity expanded. For communications teams, that divergence is not academic. It changes how visibility should be built and measured.

Crypto Media Traffic Fell and Fragmented

Start with the headline numbers. Across 349 crypto-native outlets, traffic declined from roughly 106 million monthly visits in January to just under 71 million by December—a drop of more than 33%. The audience also remained highly fragmented, with the top ten outlets accounting for only about a quarter of total traffic. The rest was distributed across a long tail of smaller publications.

A media strategy centered on a handful of large crypto sites misses most of the specialist audience. Reach, in this segment, is cumulative rather than concentrated.

The Largest Audience Isn’t in Crypto Media

The more consequential shift sits outside the crypto media bubble. Mainstream finance, technology, and general news platforms attracted close to seven billion visits over the same period, with monthly traffic rising from roughly 367 million to nearly 586 million. Even allowing for the fact that these figures reflect total site readership rather than crypto-specific pages, the scale difference is decisive. The largest audience for crypto narratives now sits on platforms that do not define themselves as crypto media.

Market Activity Continued to Grow

Against that backdrop, on-chain indicators tell a different story from traffic. Stablecoin supply rose from $216 billion to $307 billion over the year, an increase of about 41%. USDT transfer volume approached $19 trillion, with acceleration in the second half and a monthly peak of $2.5 trillion in October. Decentralized exchange spot volume reached $1.7 trillion, climbing steadily through the year.

In short, usage expanded while specialist attention contracted.

Outset Data Pulse tested whether media attention still leads market activity or follows it. The answer was neither. Monthly data shows no consistent lead–lag relationship between traffic and on-chain metrics. The two move independently.

This is what a maturing market looks like. Early-stage sectors depend on synchronized attention. Participation rises and falls with narrative intensity. More developed systems decouple. Activity continues even as attention fragments across platforms, formats, and audiences.

What This Means for PR Strategy

1. Media Lists Must Expand

The traditional structure—top crypto outlets plus limited mainstream coverage—is no longer sufficient.

Revised approach:

Treat mainstream financial media as a primary distribution layer

Include long-tail crypto publications to capture fragmented specialist audiences

Add social-native channels (newsletters, podcasts, X, Telegram, YouTube)

Media planning shifts from concentration to coverage architecture.

2. Measurement Needs to Reflect Real Impact

Counting placements in crypto media provides limited insight.

More relevant metrics:

On-chain response (wallet activity, transaction volume, TVL)

Share of voice in mainstream media

Social amplification across platforms

Visibility in LLM-generated outputs

Visibility is now multi-layered and partially algorithmic.

3. Budget Allocation Should Follow Distribution Reality

A heavy reliance on earned media assumes coverage drives reach.

That assumption weakens in a fragmented environment.

Adjusted model:

30% earned media (broader, diversified lists)

40% owned media (direct distribution channels)

30% paid media (targeted amplification on large platforms)

Control over distribution becomes as important as access to it.

These adjustments are less about tactics than about adopting a different view of how media functions.

Why Structure Matters More Than Ever

Outset Media Index was built around that premise: media influence cannot be reduced to a single metric such as traffic. The platform evaluates outlets across more than 37 indicators, including audience reach, engagement, syndication patterns, and visibility within AI-driven environments . The goal is to treat media as a system, where influence depends on how information travels, not just where it appears.

Outset Data Pulse extends that framework by adding time and context. It tracks how signals evolve and how they relate to broader market dynamics, turning isolated metrics into interpretable patterns . In that view, declining traffic is one signal among many, not a definitive proxy for market health.

The broader takeaway is straightforward. Crypto in 2025 did not lose momentum. It lost alignment between attention and activity.

For practitioners, that removes a familiar shortcut. Media traffic can no longer stand in for market reality. Visibility has to be understood across layers—mainstream, specialist, social, and increasingly algorithmic. 

Bottom Line

2025 did not signal declining interest in crypto. It exposed a disconnect between attention and activity.

Media traffic is no longer a reliable proxy for market behavior. PR strategies built on that assumption risk misallocating both budget and effort.

A more effective approach starts with recognizing how visibility now works: distributed, multi-channel, and increasingly shaped by systems beyond traditional media.

Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Investasi VC di crypto rebound menjadi $7,9 miliar pada tahun 2025, naik 44% dari 2024, menurut data PitchBook melalui SVB. Namun, volume transaksi turun 33%, dan ukuran cek median meningkat 1,5x. Modal mengalir, tetapi ke lebih sedikit proyek dengan pengawasan yang lebih tinggi.

Proyek yang lebih cepat ditutup memiliki satu ciri: mereka membangun kredibilitas media sebelum mereka memulai penggalangan dana. Lima strategi PR ini untuk startup crypto menciptakan lingkungan informasi yang mengurangi gesekan due diligence.

Strategi 1: Membangun Jejak Media yang Mempersiapkan Jawaban untuk Due Diligence

Sektor koin meme pada April 2026 jelas telah menyusut. Setelah periode spekulasi yang agresif, "koin anjing" unggulan pasar—Dogecoin (DOGE) dan Shiba Inu (SHIB)—saat ini berada dalam fase stabilisasi. Meskipun mereka belum runtuh, lonjakan terbaru tampak mikroskopis dibandingkan dengan penurunan yang mengejutkan dari puncak historis mereka. Pertanyaan bagi para trader sekarang adalah apakah aset-aset ini sedang membangun dasar untuk lonjakan pemulihan 50% atau jika pendarahan lambat menuju ketidakrelevanan akan terus berlanjut.

Saat kita melangkah melalui April 2026, pasar sedang menyaksikan kebuntuan yang familiar antara dua aset veteran: Cardano (ADA) dan XRP. Kedua protokol saat ini melayang dekat zona suport lokal setelah sebulan kelemahan yang terus-menerus. Sementara lonjakan mingguan kecil telah memberikan secercah harapan, tidak ada yang berhasil mematahkan tren penurunan yang lebih luas. Pertanyaan utama tetap apakah dukungan ini bertahan cukup lama untuk reli bantuan, atau jika raksasa Layer-1 ini hanya sedang berhenti sebelum langkah turun lainnya.

Cardano (ADA): Beta Tinggi, Struktur Lemah

Kuala Lumpur, Malaysia, April 9th, 2026, Chainwire

Enhanced Labs Inc, a company focused on building DeFi solutions that package sophisticated options and derivatives strategies into very easily-accessible products for users, has successfully closed a $1,000,000 strategic pre-seed funding round. 

The round was led by Maximum Frequency Ventures with participation from GSR, Selini, Flowdesk, and other angel investors. The team has highlighted that this is a strategic pre-seed round, with the composition of its investor base being intentional, prioritising strategic alignment. These investors have targeted expertise in trading infrastructure, market-making, institutional distribution, and more.

According to the announcement article , Enhanced’s approach will be designed around three strategic pillars:

The first is to focus on delivering more competitive rates through improved auction mechanics and capital efficiency. 

The second aims to extend options-based yield strategies beyond major assets to a broader range of on-chain holdings, including tokenised real-world assets. 

The third emphasises operational efficiency, seeking to distil complex strategies into an intuitive, objective-first user experience where participants define desired outcomes — yield, hedging, or structured exposure — rather than navigating the underlying instruments directly.

The newly acquired capital is expected to support product development and the operational groundwork needed. 

The announcement comes during a period of notable momentum in the Options sector in DeFi not seen since 2024. Volatility yield for crypto assets using options strategies seem to also be steadily growing in both institutional and retail interest in recent months. Enhanced is building at the intersection of two major narratives - onchain yield and options.

About Enhanced

Enhanced is building a multi-chain DeFi platform for structured yield and wealth products, starting with various derivative strategies for more assets on-chain. For more information about Enhanced, users can visit https://enhanced.finance or X at https://x.com/enhanced_defi

ContactFounderKevin AngEnhanced Labs Inckevin@enhanced.finance

Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Bitzo, nor is it intended to be used as legal, tax, investment, or financial advice.