Analyzing 4 Potential Narrative Directions in the Future Cryptocurrency Market
4 Potential Narrative Directions in Future Cryptocurrency MarketAuthor: Poopman, Source: Author’s Twitter @poopmandefi; Translation: MarsBit
The next narratives will come from products that address current market pain points.
These narratives include:
1️. Re-staking
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2️. De-AI
3️. Shared Sorter
4️. Gamble-Fi ($RLB)
In this article, I will briefly outline my favorite four narratives and provide actionable insights.
You can jump to actionable insights in the following links:
Without further ado, let’s get started.
1. Re-staking
Since the Shanghai upgrade, liquidity staking has experienced exponential growth and has become the largest category, with a TVL of around $20 billion.
@eigenlayer takes advantage of this trend and has introduced re-staking.
Re-staking allows stakers to deposit LST and choose to earn additional rewards using the same underlying assets.
While stakers can benefit from the capital efficiency of staking,
the protocol can also enjoy a more secure environment with Eigenlayer’s pooled security.
So far, @eigenlayer’s TVL has reached $232 million and has set a hard cap.
Looking ahead, I expect Eigenlayer’s TVL to continue rising as more innovative protocols join the ecosystem, attracting more trading volume and liquidity from the market.
The influx of liquidity will make it increasingly attractive to new protocols (such as @EspressoSys) to leverage Eigenlayer’s growing liquidity.
Ultimately, this can create a positive feedback loop and, optimistically speaking, push Eigenlayer’s TVL to higher levels.
Feasibility:
I am confident that Eigenlayer will generate significant revenue from staking/opt-in.
So as a retail investor, what can you do to participate in Eigenlayer?
Strategy 1:
When Eigenlayer raises the cap again, you can stake stETH/cbETH/rETH to earn staking points and rewards (but bear the risk of ETH price decline).
Strategy 2:
Once the following projects go live, re-stake and join them:
@puffer_finance
@EspressoSys
@witnesschain
@AstridFinance
2️. De-AI
In Web2, AI training is very expensive, ranging from $3 million to $12 million.
Issues such as data concentration, monopolization (controlled by large companies like Google and Amazon), and hardware limitations may hinder the development of AI.
De-AI (decentralized AI) is a potential solution to these problems.
To understand De-AI, we first need to understand the key components of traditional ML.
An ML model can be divided into 4 parts:
Data input
Data training
Data storage
Data service
In the Web3 environment, each component can be decentralized.
Why do we need decentralized AI?
The value of decentralization in AI is about ensuring data accuracy.
This concept is consistent with the theory of collective intelligence, which states that the collective intelligence generated by aggregating information in a group often leads to more accurate decisions.
In other words, using information or data from different sources often results in more accurate models than relying on a small group of experts to input data for internal AI training.
Through decentralized AI models, we can:
Train models more cost-effectively
Eliminate the risk of single points of failure
Create a market between data and models
So, what can you do to participate in this narrative?
Actions you can take:
You can participate in these projects or start hoarding their related tokens when the market falls again:
@bittensor_ ($TAO)
@gensynai (currently no tokens available)
@SingularityNET ($AGIX)
1) @bittensor_($TAO)
Bittensor is an L1 POW network on Polkadot that serves as a P2P marketplace for training ML models.
You can earn TAO tokens for collaborative training based on the value of information or spend TAO to purchase their ML services.
2) @gensynai
Gensyn is another L1 that addresses AI hardware limitations and is backed by @a16z.
It achieves this by pooling all idle GPUs in the world into a global ML supercluster that anyone can rent and use at any time.
However, they have not issued any tokens yet.
3) SingularityNET
As one of the OGs in the De-AI space, SingularityNET supports AI solutions in a P2P manner.
You can participate in liquidity mining by staking $AGIX on their staking page or simply trade when there is a buzz around AI.
3. Shared Sequencer
L2s (such as Arbitrum, Optimism, and zksync) currently operate a centralized sequencer, which provides faster confirmation times and higher efficiency but comes at the cost of auditability risks and single points of failure.
The solution to this problem is decentralization, specifically a shared sequencer.
With a shared sequencer, each Rollup can adopt it as a “decentralized service” by sacrificing the profits from MEV.
It not only solves the auditability issue but also ensures liquidity (prevents offline situations)…
It also allows transactions from multiple Rollups to be included in one block (cross-chain composability), reducing the cost of batch submissions and providing greater resistance to MEV in combating negative externalities.
Operable:
There are some protocols applicable to shared sorters, which are likely to launch tokens to generate income and distribute governance rights. Therefore, I recommend paying close attention to:
@EspressoSys
@AstriaOrg
@radius_xyz
4. Gamble-Fi
By 2023, the scale of the online gambling market has reached $88.65 billion.
Among them, the adoption of Crypto in gambling increased by 44.6% in 2023, indicating a clear trend of Crypto adoption in the gambling industry.
Based on addictive features and Ponzi-like token economics (such as buyback, burn, or revenue sharing mechanisms), I believe that with the continuous improvement of user experience, Gamble-Fi may be one of the products to achieve large-scale adoption.
Operable:
Currently, I only hold $RLB because it generates income every month, although I am unsure if they actually buy back and burn tokens.
Nevertheless, I will continue to keep an eye on Gamble-Fi.
We will continue to update Blocking; if you have any questions or suggestions, please contact us!
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