Variant: Three L1 Assets That Could Become Primary Stores of Value

链捕手Pubblicato 2026-06-02Pubblicato ultima volta 2026-06-02

Introduzione

The core belief at Variant is that individuals should own their money, identity, and data. A key framework for evaluating first-layer blockchain (L1) networks is viewing their native tokens as potential stores of value (SOV). A good SOV asset is defined by several key attributes: technical durability (its likelihood to exist and function in 5-10 years), scarcity and predictable inflation, censorship resistance, economic productivity (its utility in facilitating economic activity), memetic strength (widespread social consensus on its value), and liquidity. Based on this framework, three L1 assets are highlighted as leading contenders for becoming major SOVs, each excelling in different dimensions: * **Bitcoin (BTC)** is dominant in memetic strength, widely recognized as "digital gold." Its growing belief network among individuals and institutions reinforces its SOV status. * **Ethereum (ETH)** excels in technical durability and adaptability. Its ability to upgrade and a transparent roadmap provide confidence in its long-term resilience against future challenges. * **Zcash (ZEC)** offers superior censorship resistance and privacy through its shielded pools. This provides individuals with a long-term option to protect assets from confiscation or surveillance. The total market for SOV assets like gold is immense (gold's market cap is ~$31T). Despite often surpassing traditional SOVs on these fundamental metrics, digital assets currently capture only a small fraction of t...

Author:Alana Levin,Variant

Compiler:Hu Tao,ChainCatcher

At the core of our investment philosophy at Variant is the belief that people should be able to own their own money, identity, and data.

We look for large markets that support and expand access to and ownership of the resources individuals and organizations need for daily life. Our investments in crypto networks have turned many of these ideas into reality. These networks are coordination protocols built around sovereignty and self-custody.

However, questions remain about how to value these networks. Different protocols and projects have vastly different goals, so the important fundamental metrics for tracking success and predicting growth vary greatly.

We believe all tokens can be classified into one of two categories: Store of Value (SOV) assets or equity-like instruments. In particular, we find the store of value framework very useful for evaluating Layer 1 (L1) blockchains—the largest and most important money coordination protocols in the modern financial system.

Through deep exploration, we have identified a series of fundamental metrics for understanding, evaluating, and tracking the future development of these networks. This article aims to share part of our thought process, hoping to provide a useful reference for others thinking about these assets.

L1 Assets Can Act as Stores of Value

One of our core frameworks is that L1s can be analyzed and modeled as stores of value.

So, what makes an asset a good store of value? Our key fundamentals are as follows (roughly ordered by importance):

Technical Durability: Will this asset still exist in 5-10 years? To what extent will its appearance/function remain unchanged?

Scarcity: Is this asset widely available and easy to acquire? How easy is it to inflate this asset? How predictable is its inflation curve?

Censorship Resistance: How easy is it for a single entity to seize this asset? To what extent can economic activity associated with this asset be blocked or shut down?

Economic Productivity: Can this asset be used to facilitate economic activity? How useful is it in finance, for example, does it have collateral value?

Memetics: Do others perceive this asset as a store of value? An important feature of any currency is that society reaches consensus on its value and utility.

Liquidity: Is this asset widely accessible to everyone who wants it in their portfolio (regardless of size)? We place this last because it is often a downstream effect of mimetic behavior; liquidity tends to beget more liquidity, and the greater the interest in an asset, the more likely its scale (relative to inflationary currencies) is to grow. Bitcoin wasn't very liquid in its first few years, but now it's one of the world's most liquid assets.

Few markets have a larger Total Addressable Market (TAM) than stores of value. Gold—the largest and most widely recognized store of value—has a market capitalization of $31 trillion. Silver's market cap is also $4 trillion. We believe some L1s have the potential to become superior stores of value.

Sovereign Wealth Fund Assets

Currently, three L1 assets stand out as strong candidates to become primary stores of value: Bitcoin (BTC), Ethereum (ETH), and ZEC. In our framework, they each excel in different dimensions.

Bitcoin dominates the memetic mindshare, famously known as 'digital gold.' The strong reflexive nature of the meme is a powerful force and a crucial fundamental consideration for any store of value contender: the more people believe Bitcoin is a store of value, the more likely it is for those on the fringes to believe it is a store of value. Over the past fifteen years, individuals, funds, companies, institutions, and even nations have invested in this belief.

Ethereum may be more technically durable than Bitcoin. It is easier to upgrade, and its roadmap provides transparent, trackable, and verifiable insight into what the developer community is planning for the future. Looking ahead—and at new risks presented by innovations like quantum computing—we view this adaptability as a strength, not a flaw. At the heart of any quality sovereign asset is the belief it will still exist in a decade. Ethereum has already demonstrated strong resilience, weathering significant technical and social challenges—such as The DAO hack, the Merge, and more—and we believe it will continue to thrive in this regard.

ZCash excels in censorship resistance and privacy. The mere option provided by its shielded pool (ZCash's private transaction feature) gives individuals a way to potentially avoid future wealth confiscation or pervasive state surveillance. This is a durable advantage for ZCash, providing individuals a long-term path to protect their assets.

Overall, the value of stores of value amounts to tens of trillions of dollars. This is evident just from the status quo. We believe this space will continue to grow at a high speed, and multiple stores of value can coexist.

However, looking at today's market landscape, despite digital sovereign stores of value (SOV) outperforming gold or silver on many of the fundamental metrics mentioned above, they still represent only a small fraction of the total SOV market. For us, this represents an ambitious and exciting opportunity.

Domande pertinenti

QWhat are the two main categories that the author suggests all tokens can be classified into?

AThe author suggests all tokens can be classified into two categories: store of value (SOV) assets or equity-like instruments.

QAccording to the article, what are the key fundamental elements that make an asset a good store of value?

AThe key fundamental elements are (in rough order of importance): technical durability, scarcity, censorship resistance, economic productivity, memetics, and liquidity.

QWhich three L1 assets does the article identify as most likely to become primary stores of value, and what is the primary strength of each?

AThe three L1 assets are Bitcoin (BTC), Ethereum (ETH), and Zcash (ZEC). Their primary strengths are: Bitcoin's dominance in memetics, Ethereum's technical durability and adaptability, and Zcash's superior censorship resistance and privacy.

QWhy does the author consider Ethereum's adaptability an advantage for its role as a store of value?

AThe author believes Ethereum's ease of upgrade and transparent roadmap provide an advantage. This adaptability allows it to better face future challenges and technological innovations (like quantum computing), strengthening the belief that it will still exist and function well in a decade, which is a core requirement for a sovereign asset.

QWhat is the author's view on the current market share of digital SOVs compared to traditional stores of value like gold?

AThe author believes that despite digital SOVs performing better on many fundamental metrics, they still represent a very small proportion of the total store of value market (citing gold's $31 trillion market cap). This small market share is seen as a significant and exciting opportunity for growth.

Letture associate

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

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The Value Distribution of Stablecoins

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The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

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The Value Distribution of Stablecoins

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How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

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How to Do Research Well: Deliberately Practice the Real Skills That Matter

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