Outset Media Index (OMI) is now in soft launch, introducing what its creators describe as the first standardized system for benchmarking media outlets. 

OMI organizes familiar traffic indicators from partner sources such as Similarweb and Moz, adds proprietary research metrics for practical context and turns this data into a single analytical framework that makes analysis repeatable, transparent and adaptable to different workflows.

Teams that run media operations, including advertisers, marketers, PR agencies and publishers, can use OMI to plan campaigns with greater clarity, manage media budgets more deliberately and improve campaign outcomes over time.

Internally, the platform is supported by a broader analytical layer within the Outset PR ecosystem. While OMI focuses on measuring how outlets perform, Outset Data Pulse interprets those signals through research reports that examine media trends and structural changes shaping the industry.

Additional tools help track how coverage circulates after publication. A syndication map follows how articles travel through aggregators and secondary outlets, while an automated parser monitors republications across large numbers of media sites.

Behind the index sits a methodology designed to keep rankings consistent. Before scoring, inputs are reviewed, normalized and consolidated into several weighted parameters that apply across all listed outlets. 

Importantly, OMI operates independently from commercial influence. Positions in the index cannot be bought or negotiated. Publications do not pay for placement, and scores cannot be adjusted on request. 

Structured intelligence that examines what other monitoring tools miss

Outset Media Index currently tracks over 340 outlets with active crypto coverage, including specific publications and broader fintech portals with dedicated crypto sections, through 37 metrics and two scoring frameworks. 

Traffic estimates, SEO visibility, pricing, referral patterns and market knowledge all reveal something, but rarely in one comparable structure. OMI brings those signals together so users can see not just how visible a media outlet looks at a glance, but also how it behaves over time, how audiences interact with it, how the editorial team approaches collaboration and how coverage continues to move after publication.

Some metrics focus on scale and traffic quality. Others show where the readership is concentrated and how well a publication fits regional or language-specific campaigns. The framework also includes indicators designed to capture signals that traffic alone cannot explain.

For example, Unique Score separates outlets with a stable audience from those driven mostly by short bursts of attention. Reading Behavior highlights where people spend time with content and where they simply pass through. Reprints and a corresponding Reprints Score track how original coverage echoes through aggregators and help identify strong syndication networks.

“We also introduced two summary scores,” said Sofia Belotskaia, product lead at Outset Media Index. “The General Score shows how an outlet performs overall, while the Convenience Score looks at the practical side of collaboration – editorial control, turnaround speed, coverage options and price-to-reach alignment. The idea is to make it possible for users to see both the actual performance of a publication and the realities of working with it without having to dig through dozens of separate indicators.”

Among other things, OMI reflects the discovery layer forming around AI, surfacing outlets that receive traffic from LLM-driven interfaces.

If AI answers the question, who clicks the article?

Across the publishing industry, AI-generated answers now appear directly inside search results. Users no longer need to click through to websites for information. The change raises an uncomfortable question: what happens when search stops sending readers?

Some findings suggest referrals from search engines could fall by as much as 43% over the next three years as AI summaries and chat-style tools increasingly answer questions directly on the results page. 

The Guardian recently cited data showing that search traffic to news sites has already fallen by roughly a third in the past year, and AI-generated overviews are showing up in about 10% of search results in the United States.

For publishers that spent years building strategies around search visibility, the change is impossible to ignore. If readers no longer need to click through to a story to get information, the click itself becomes a less reliable signal of where attention is actually going.

“Since AI answers started replacing links, the way we look at media performance has had to change as well,” said Mike Ermolaev, founder of Outset Media Index and Outset PR. “That’s the kind of environment OMI is meant to help people navigate.”

When discovery changes, measurement follows

For now, Outset Media Index enters the industry conversation as an early attempt to make sense of ongoing media shifts. The platform offers one way of analyzing how media attention moves today – not only through traffic, but through engagement, distribution and the practical dynamics of working with outlets.

What that approach ultimately becomes will depend on how the system develops from here. The soft launch will reveal how the index may grow into a broader reference point for teams working in a complex, high-cost media landscape where the path between a story and its audience is becoming less direct.

Crypto just entered America’s retirement accounts, and $10 trillion in long-term capital is now in play. VanEck’s move to embed digital-asset ETPs in 401(k) plans isn’t a headline to scroll past.

Retirement capital is slow, sticky, and recurring, exactly the demand that builds durable price floors over years. With a Trump executive order clearing the regulatory path, this is the opening of a pipeline that could dwarf every ETF inflow record set so far.

But 401(k) exposure to crypto ETPs won’t deliver 100x returns. It’s designed to preserve and grow capital slowly at scale. That’s the institutional trade. The early-stage trade looks different.

DeepSnitch AI has already surged 191% in presale and has a TGE confirmed for March 31st on Uniswap.

As VanEck raises the floor across the board, the highest leverage sits in what that capital hasn’t priced in yet. DSNT is still that asset, and the DeepSnitch AI price prediction looks at 100x returns from now.

VanEck brings crypto ETFs to 401(k) plans

VanEck has made its digital asset ETPs available through Basic Capital, a fintech 401(k) provider, marking one of the first moves to embed crypto-focused products directly into US employer-sponsored retirement accounts.

The development follows a Trump executive order directing federal agencies to expand alternative asset access in 401(k) plans, reversing prior Labor Department guidance that had effectively blocked crypto from retirement accounts.

The scale of the opportunity is substantial. US 401(k) plans hold roughly $10 trillion in assets, and with nearly half of participants increasing contributions in 2024, the pool of potential crypto exposure is enormous.

For crypto markets, this is a structural demand story. Retirement capital is long-term, recurring, and largely passive, precisely the inflow that could provide a durable bid beneath crypto prices over years, not months.

Top 3 cryptocurrencies to own in 2026

DeepSnitch AI price prediction: Analysts expect 100x returns

Here’s what the DeepSnitch AI price prediction case actually rests on. VanEck’s 401(k) integration means retirement capital starts flowing into crypto consistently, as a recurring structural bid.

That raises the floor for the entire market over the years. The assets that benefit most from a rising floor are the ones positioned to catch the demand before it arrives. DeepSnitch AI is at $0.04399 with the TGE on March 31st. Early buyers are already up 191% without a single exchange candle printed.

The 100x–300x post-launch DeepSnitch AI price predictions, with some analysts calling 1,000x before year-end, are grounded in a specific logic: a low-cap AI-native platform launching into a market where the total capital pool is structurally expanding. VanEck is opening the pipeline. DSNT goes live before that capital fully flows through it.

The staking program is live, with 42M+ tokens already locked, holders who’ve committed long-term rather than waiting to flip at listing.

Over $2M raised while most top altcoins, and even Bitcoin, bleed confirms the conviction is real. At this price, before the Uniswap listing and tier-1 CEX listings that follow, the entry is still genuinely early-stage. After March 31st, DeepSnitch AI isn’t.

Cardano trades below $0.3 while investors turn bullish

Cardano traded at $0.26 on March 11, up over 5% in three days and closing in on descending trendline resistance between $0.27 and $0.30.

The catalyst matters. Charles Hoskinson’s 2026 funding model proposes using treasury returns to buy ADA on the open market, a structural buyback mechanism that speculative momentum alone can’t replicate.

Derivatives tell a cautious story. Open Interest drops to $410 million. Funding rate flips positive to 0.0075%. Bulls return quietly, without conviction.

The chart sits in the same uncertain middle. ADA trades below the 50-day and 100-day EMAs near $0.29. RSI stays under 50. MACD fades near zero. Close above $0.29, and the recovery gains real traction. Lose $0.24, and this bounce unravels entirely.

Ethereum

Ethereum traded at $2,055 on March 11, holding above the 20-day EMA at $2,024. That level separates cautious optimism from renewed selling pressure.

What makes this setup unusual is the disconnect between network activity and price. Daily active addresses hit a record 2 million in February, double the 2021 bull market peak. Total contract calls surpassed 40 million daily. The network thrives. The price doesn’t.

ETH shed over 50% in four months. CryptoQuant analysts point to the mechanism: realized capitalization growth turned negative, and ETH exchange inflows outpace Bitcoin’s. Capital leaves while usage climbs.

Reclaim $2,108, and $2,389 comes next. Lose the 20-day EMA, and $1,741 arrives fast, with $1,524 and $1,405 waiting beneath it.

Closing thoughts

VanEck is routing retirement capital into crypto, building the structural floor that benefits the entire market over the years. Early DeepSnitch AI investors are already up 191%, without waiting for a 401(k) to do it for them.

The presale closes March 31st, with Uniswap and tier-1 exchange listings to follow. At $0.04399, the entry is still early-stage, with a massive DeepSnitch AI price prediction.

A $30,000 position with the bonus campaign enters launch day worth $90,000 in tokens, and if the 100x projections land, that math rewrites portfolios entirely.

Visit the official website for more information, and join X and Telegram for community updates.

FAQs

What is the DeepSnitch AI price target analysts are projecting ahead of its March 31st launch?

The DeepSnitch AI price predictions range from 100x to 300x post-launch, with some analysts projecting 1,000x before year-end. The case rests on a low-cap AI-native platform launching into a market where VanEck’s 401(k) integration is structurally expanding the total capital pool.

What does the DeepSnitch AI forecast look like heading into Q2 2026?

Bullish. As VanEck’s retirement capital pipeline opens and raises the market floor, the highest leverage sits in pre-listing assets that institutional money hasn’t yet priced in. DSNT is still that asset.

What is the DeepSnitch AI market outlook compared to Cardano and Ethereum right now?

Cardano’s buyback mechanism and Ethereum’s network strength are credible long-term stories. DeepSnitch AI’s March 31st TGE is a fixed, near-term catalyst at $0.04399 with uncapped staking yields and a post-launch price structure that neither large-cap asset can replicate.

Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.

The U.S. Securities and Exchange Commission (SEC) is signaling support for streamlined “minimum effective dose” disclosure rules and tightly scoped equity‑tokenization pilots via an innovation exemption, according to new remarks from Chair Paul S. Atkins.

The U.S. Securities and Exchange Commission (SEC) is signaling support for streamlined disclosure rules and controlled experiments with equity tokenization, according to a new speech by Chair Paul S. Atkins at the agency’s Investor Advisory Committee meeting.​

SEC chair pushes “minimum effective dose” regulation

Atkins focused first on cutting what he called unnecessary disclosure burdens, arguing for a “minimum effective dose” approach to regulation that keeps rules tightly centered on material information and adapts requirements to company size. He also proposed extending the JOBS Act “IPO on‑ramp” regime, giving small and mid-size firms a longer glide path with scaled reporting so that more issuers are willing to go public.​

On tokenization, Atkins took a more openly experimental stance, arguing that turning equity securities into digital tokens can improve settlement efficiency, reduce settlement risk, and strip out unnecessary intermediaries. He revealed that the SEC is considering an “innovative exemption mechanism” to allow limited trading of specific tokenized securities, using tightly scoped pilots to build experience for a long-term regulatory framework.​

That approach would effectively let tokenized equity projects move forward under controlled conditions, rather than waiting for a full top‑down rule overhaul. For crypto markets, the message is clear: the SEC is not ready to rewrite securities law for tokenization, but it is prepared to grant targeted exemptions that could bring regulated, on‑chain equity settlement closer to reality.

Anchorage Digital has integrated with Puffer Finance to give institutional clients access to Ethereum liquid restaking through its custody platform.

According to Thursday’s announcement, institutions can stake Ether held with Anchorage and receive Puffer’s liquid restaking token, pufETH, directly into their accounts. The token represents a restaked ETH (ETH) position that can be transferred or deployed across supported onchain applications while continuing to earn staking and restaking rewards.

Institutions using the platform can participate in restaking without running validators or managing staking infrastructure themselves.

The integration allows clients to access Puffer’s restaking protocol while keeping assets within Anchorage’s custody and governance framework, avoiding the need to move funds across multiple platforms.

Anchorage said the integration is part of a broader effort to expand institutional access to onchain services through its platform, including staking, restaking, governance and settlement.

Anchorage Digital is a crypto custody company headquartered in San Francisco that operates the first federally chartered crypto bank in the United States.

In January, the company was reported to be seeking between $200 million and $400 million in new funding as it explores a potential initial public offering sometime next year.

Related: Sharplink reports $735M loss in 2025 as Ethereum slumped

Liquid restaking expands across Ethereum ecosystem

Restaking has emerged as a new layer of activity in proof-of-stake networks such as Ether, allowing already staked tokens to be reused to secure additional decentralized services while generating additional rewards.

In liquid restaking systems, staked Ether is represented by a tradable token that can be reused through restaking protocols to help secure additional decentralized services.

Much of the restaking ecosystem has developed around EigenLayer, a protocol launched by Eigen Labs that enables staked Ether or liquid staking tokens to secure additional onchain services beyond the Ethereum network.

Over the past few years, liquid restaking has grown into a multibillion-dollar sector within the Ethereum ecosystem. According to data from DefiLlama, protocols offering liquid restaking collectively hold about $7.2 billion in total value locked (TVL).

The sector is dominated by ether.fi with around $5.6 billion in TVL, followed by Kelp DAO with about $1 billion and Renzo with roughly $217 million. Puffer Finance, the protocol integrated by Anchorage Digital, currently manages around $62 million in restaked Ether.

Ethereum treasury companies are also increasingly exploring these strategies to generate yield from their Ether holdings. In October, SharpLink Gaming said it planned to deploy $200 million worth of Ether from its corporate treasury across staking and restaking strategies through ether.fi and EigenCloud on Linea.

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