【I do not hold any c-6 tokens, and have no cooperation or interest relationship with the Vanar team. The content of this article is independent research and analysis, and does not constitute any investment advice. Market risks should be borne by oneself】
Airdrop hunters have already left, and on-chain data is gradually returning to reality. With the noise of hot money and opportunistic players fading away, let's take a moment to see: the much-anticipated Vanar, how well is its foundation of AI and metaverse ecology being built? I spent a whole week deeply experiencing several of its core applications.
Differentiated approach: starting from on-chain measurements and user experience
Setting aside grand white paper narratives, the value of a chain ultimately rests on "how users experience it." Therefore, I decided to be a "picky user" and evaluate Vanar's performance from the most basic perspectives of practical experience, cost, and what can be accomplished.
Hard Data Testing and Competitive Function Comparison
I focus on two core tracks: metaverse experience and AI-related applications.
Metaverse Experience Testing (using a certain brand's virtual space as an example):
Loading and Smoothness: Direct access through a browser supported by the blockchain has a loading speed that is significantly better than many blockchain metaverse projects built on Unity/Unreal (such as some parcels in Decentraland), with environment loading completed in about 15 seconds. Movement and perspective switching are smooth, without lag. This directly confirms its advantages in high TPS and low latency networks.
On-chain Interaction Cost: Purchasing a digital decoration (NFT) within the space takes about 3 seconds from wallet confirmation to transaction on-chain. Gas cost is 0 (subsidized by the project team). In comparison, completing a similar operation on Ethereum may cost between 5-50 USD and take tens of seconds to a few minutes; on Polygon, it may cost 0.01-0.1 USD and take slightly less time. Vanar demonstrates the advantages of a commercial-grade experience here.
Data Shortcomings: Currently, the visibility of the number of online users is weak, and social interaction features (voice, text) are still relatively basic, showing a gap compared to mature Web2 platforms like Roblox. Key observation metrics should be: average user stay duration and revisit rate.
AI Application Exploration (Model Market and AI Generation Tools):
Discovery: There is already a nascent "market" on-chain specifically targeting AI models and datasets. I can see some image generation models or dataset NFTs labeled with prices.
Process Experience: Trying to purchase the usage rights of a model. The process is: connect wallet -> pay $VANRY (or stablecoin) -> obtain a certificate NFT representing usage rights -> use this NFT to call the model on the relevant AI platform. The logic is coherent, treating AI models as assets for ownership and trading.
Core Issue: Currently, the number of models is low, and most are of a demo nature; the transition from purchase to actual usage experience is not smooth enough. Compared to decentralized computing markets (like Render Network) or mature AI API platforms, there is a huge gap in richness and convenience. Vanar's opportunity lies in leveraging compliance and on-chain asset advantages to attract enterprise-level AI models, rather than competing with the open-source community on quantity.
Ecological Moat and Risk Quantification
Moat: The smoothness and low cost I experienced is a direct result of its technology stack being optimized for commercial scenarios. Its moat is not having these features, but being able to provide brands with a "smooth, controllable, and cost-transparent" one-stop Web3 solution. This is something many public chains cannot achieve.
Risk Quantification:
Application Gap Risk (High): Currently, the ecosystem has a gap of "good infrastructure but a lack of top applications." Without phenomenal applications to attract ordinary users, relying solely on B-end cooperation makes it difficult to maintain on-chain vitality.
Token Economic Model Risk (Medium): Although current Gas costs are low (even free), this is driven by subsidies. Attention should be paid to whether the final cost transfer model and the value capture design within the $V$VANRY state are reasonable. If costs rise significantly in the future, will it destroy the existing experience advantages?
Sustainability Risk (Medium): After the airdrop ends, data and community engagement show a significant decline. It is necessary to observe whether the next growth point (such as major partnerships landing) can bring data rebounds that exceed previous highs.
Unique Insights: The real challenges and opportunities for Vanar
My view is that Vanar's biggest challenge is not technology but "scene definition authority." It positions AI and the metaverse as its core, but these two fields are still undergoing intense evolution. It needs to define more precisely what "pain points" it is solving in these two areas.
Has it solved the issue of AI model ownership and micropayments?
Or has it addressed the cross-platform asset portability of metaverse experiences?
Or has it provided enterprises with a controllable risk Web3 testing ground?
Currently, it appears more like a "third option"—a safe sandbox. Its opportunity also lies here: in the current unclear regulatory environment for crypto, it provides a "best stage for dancing with shackles" for traditional companies looking to try Web3 without crossing the lines. If a group of such players can be gathered and interactions among them facilitated, the ecosystem can stabilize.
Summary: A reference for rational investors
If you are looking for the next "DeFi Summer" or "Meme Craze," Vanar may not be to your taste. Its style leans more towards "enterprise services" and "robust digitalization." Its value realization will be a "slow process" accompanied by partner announcements and flagship application data growth. For investors, the focus should shift from "Is there an airdrop?" to:
Data growth of independently active applications on-chain.
Are there well-known brands from non-crypto fields that are genuinely using it and generating on-chain interactions?
Has its AI and metaverse narrative evolved from a "feature demonstration" to an "indispensable service"?
Interactive Questions:
Have you experienced applications on the Vanar chain? How was the actual experience?
What do you think are the most important factors for traditional major brands when entering Web3? Technology, cost, or compliance?
