Project Background
Challenges of the web3 industry
Web3's project has been criticized many times by both practitioners and users, saying that there is no real mass adoption within Web3 and that it does not address the needs of real users.
Currently, the entire crypto market has a market capitalization of $2.28T, with Bitcoin accounting for $1.2T, public chain ETH accounting for $400B, BNB at $80B, and Solana at $60B, and the majority of the market capitalization is taken up by the infra layer, with the demand for the application layer not being opened up.
The last potential mass adoption of Stepn's peak market cap of $2.3B attracted a lot of web3 and non-web3 users, but the peak market cap lasted 1 month. The question remains: where is the next mass adoption?
AI and Web3 convergence holds the greatest potential for future mass adoption.
Emerging Field: The combination of Web3 and AI is an emerging field that warrants significant attention.
AI's Role: AI enhances productivity and addresses real user needs.
Web3's Role: Web3 revolutionizes production relationships and introduces new business models and asset liquidity.
The promise of Integration: The integration of Web3 and AI represents the most promising potential for achieving mass adoption, merging technological advancements with practical, real-world applications.
Challenges of AI Companion
In diverse vertical scenarios of AI agents, emotional companionship is vital. However, current AI companion products encounter two significant challenges:
Challenge 1: Shallow Engagement
Current AI emotional companions primarily rely on text-based interactions, which often result in a superficial user experience. For example, Replika focuses mainly on chat, missing opportunities to offer more immersive and engaging forms of interaction. This limitation reduces the overall depth and quality of the companionship provided.
Challenge 2: Unsustainable Business Models
AI companion products are currently grappling with the challenge of finding sustainable business models. While subscriptions are the go-to strategy, many companies find this approach difficult to sustain.
Example 1: Take Character.ai, for instance. Once valued at over $1 billion, it has a staggering 13 million active users but only manages to pull in $180,000 per month. The company's struggle to find a stable revenue model has it eyeing potential acquisitions by larger industry players.
Example 2: On the other hand, Talkie AI takes a different route by focusing on in-app purchases, generating $100,000 in monthly revenue.
These examples illustrate the challenges facing AI consumer applications in their current forms. The subscription-based model often fails to capture the full revenue potential of these platforms, indicating a pressing need for innovative monetization strategies.
Therefore, we aim to introduce Nextmate.ai.
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