Ship or Die at Accelerate 2025: You're Holding It Wrong (0xDesigner)

In a groundbreaking presentation at Accelerate 2025, 0xDesigner unveils how blockchain wallet activity could revolutionize personalized user experiences in Web3 applications, potentially surpassing current Web2 data collection methods while preserving user privacy.

Summary

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0xDesigner's talk at Accelerate 2025 explores the potential of blockchain wallet activity as a powerful tool for understanding user preferences and behaviors in the Web3 space. Drawing parallels between the information revealed by a person's belongings and their on-chain activity, the speaker demonstrates how wallet data can provide deep insights into a user's personality, interests, and preferences.

The presentation highlights the advantages of using wallet activity for personalization over traditional Web2 data collection methods. It emphasizes the privacy-preserving nature of this approach, as users can share rich behavioral data without compromising sensitive personal information.

0xDesigner also discusses the potential applications of this concept, from personalized content recommendations to bootstrapping social graphs and enhancing AI interactions. The talk concludes by suggesting that the true intersection of crypto and AI might lie in the ability to analyze and interpret the vast amount of data generated by blockchain activity.

Key Points:

The Power of Personal Belongings

0xDesigner begins by referencing a 2002 study by psychologist Sam Gosling called "A Room with a Q." The study revealed that strangers could accurately judge a person's personality by observing their living space for just a few minutes. This demonstrates the profound connection between our possessions and our identities, setting the stage for the parallel with blockchain activity.

The speaker extends this concept to the digital realm, noting how difficult it can be to share personal content feeds on platforms like TikTok or Instagram. This reluctance stems from the deeply personal nature of these algorithmic recommendations, which reflect our interests and behaviors.

Web2 Data Collection vs. Blockchain Activity

The presentation contrasts current Web2 data collection practices with the potential of blockchain activity analysis. Web2 companies collect behavioral residue through clicks, swipes, and purchases to build user profiles. However, this data is often trapped within these platforms and not accessible to users or other applications.

0xDesigner proposes that blockchain wallet activity could provide similar, if not richer, insights while allowing users to maintain control over their data. By connecting a wallet to an application, users can share a wealth of information about their preferences and behaviors without compromising their privacy.

Interpreting Wallet Activity

The speaker delves into how wallet activity can be interpreted to understand user preferences. For example, active trading of certain tokens or long-term holding of others can reveal different personality traits and interests. The types of NFTs held, participation in specific events, and frequency of transactions all contribute to building a comprehensive user profile.

0xDesigner uses their own wallet activity as an example, demonstrating how it reveals their inclination towards art and culture, their approach to trading, and their commitment to content creation. This level of detail allows applications to make informed inferences about user preferences and tailor experiences accordingly.

Applications and Future Potential

The talk explores various applications for wallet activity analysis, including personalized content recommendations, guided user journeys, and social graph creation based on similar interests and activities. The speaker also suggests that this data could enhance interactions with AI, allowing for more personalized and context-aware conversations.

0xDesigner concludes by touching on the challenges and opportunities presented by the rapidly evolving crypto ecosystem. With thousands of new tokens emerging constantly, the ability to interpret this data in real-time becomes crucial. The speaker proposes that the combination of AI-powered analysis and blockchain activity data could represent the true intersection of crypto and AI technologies.

Facts + Figures

• A 2002 study by Sam Gosling showed strangers could accurately judge personalities based on brief observations of living spaces
• Web2 companies collect behavioral data through user interactions like clicks, swipes, and purchases
• Blockchain wallet activity can provide rich insights into user preferences without compromising privacy
• Wallet connections can offer apps pre-use information about user preferences
• Every transaction hash on the blockchain tells a story about the user's tastes and preferences
• Thousands of new tokens emerge every second in the crypto ecosystem
• AI-powered search and analysis can help interpret blockchain activity and token narratives in real-time
• The speaker has published a design idea on-chain every day for two years straight
• The speaker has attended every FWE Fest so far, indicating a strong affinity for creativity, art, and culture

Top quotes

• "The things you own reveal a lot about you. You don't have to meet someone to truly know them."
• "When I connect my wallet to your app, I'm giving you just as much information as TikTok while maintaining my privacy."
• "Every single transaction hash tells a story about me, my taste, and my preferences."
• "Maybe this is the true intersection of crypto and AI."
• "I'm not just holding tokens. I'm holding so much more."

Questions Answered

How can blockchain wallet activity be used to understand user preferences?

Blockchain wallet activity provides a wealth of information about a user's interests, behaviors, and preferences. By analyzing the types of tokens held, trading patterns, NFT collections, and participation in blockchain events, applications can build a comprehensive profile of the user. This information can be used to personalize content, recommend actions, and create tailored experiences without compromising user privacy.

What advantages does wallet activity analysis have over traditional Web2 data collection?

Wallet activity analysis offers several advantages over Web2 data collection methods. Firstly, it allows users to share rich behavioral data while maintaining control over their personal information. Secondly, this data is available to applications before the user even starts interacting with them, enabling immediate personalization. Lastly, blockchain activity provides a more holistic view of a user's interests across multiple platforms and applications, rather than being siloed within a single service.

How might AI and blockchain activity analysis work together in the future?

The combination of AI and blockchain activity analysis could revolutionize personalized experiences in Web3. AI-powered tools could interpret complex blockchain data in real-time, making connections between user activity and token narratives. This could enable more sophisticated personalization, better content recommendations, and more context-aware AI interactions. Additionally, AI could help make sense of the rapidly evolving crypto ecosystem, keeping user profiles up-to-date with the latest trends and token meanings.

What potential applications are there for wallet activity analysis in Web3?

Wallet activity analysis has numerous potential applications in Web3. It could be used to create personalized content feeds, suggest relevant actions or transactions, and guide users through new applications. It could also be used to bootstrap social networks by connecting users with similar interests and activities. Furthermore, this data could enhance AI interactions, allowing chatbots and virtual assistants to have a deeper understanding of the user from the outset.

How does wallet activity analysis preserve user privacy?

Unlike traditional data collection methods that often require users to share personal information, wallet activity analysis focuses on public blockchain data. Users can share rich behavioral information by simply connecting their wallet to an application, without revealing sensitive details like their name, email, or location. This approach allows for personalized experiences while giving users more control over their data and maintaining a higher level of privacy.