Vibe Check

Meme Vibe Check is a decentralized knowledge verification platform. The whimsical application of this platform design display meme entries and present aggregate attributes of people who agree (“vibe”) and disagree (not “vibe”) with a particular meme.

Platform members who vote on meme entries have decentralized identity (DID) attributes attached to their profiles. For each meme entry, the end user gets to see the most common attributes amongst the supporting members and disagreeing members. From this information, the end user can make a better-informed decision to agree ('vibe') or disagree (not "vibe") with this particular meme.

The initial use case for this decentralized knowledge verification platform was social attestation of wiki/ whitepaper entries. For each wiki entry, members can vote on the veracity of the document. The decentralized identity (DID) of members may include verified attributes from educational institutions, places of work, and professional accreditation bodies. When the end users view wiki entry, they are also presented with the most common attributes of those who agree and those who disagree with the document. For example, using Darwin’s Theory of Evolution, those whom agree with the document may have the most common attribute of a science education background. Those whom disagree may have common attribute of a accredited religious ministry.

The initial use case for this decentralized knowledge verification platform was to add a social layer to wiki for policymakers, enhancing truth and veracity. Our mission is clear: to enrich Wikipedia with a social layer that empowers policymakers to gain valuable insights from end-users, filter out noise, and uncover deeper truths through the use of demographic metadata from user reactions on Wiki Web3 posts.

Mobile QR Code Authentication and User Validation:

We began our journey with a focus on user validation, a cornerstone in ensuring the authenticity and quality of interactions within our social layer. The introduction of mobile QR code authentication, seamlessly integrated into Polygon ID, significantly enhances platform security.

It serves as a robust defense against spam and, crucially, allows us to gather precise demographic data directly from users.

This demographic data is the bedrock upon which our advanced filtering mechanisms stand, enabling policymakers to extract meaningful insights by analyzing reactions to Wikipedia's Web3 posts based on demographics. ShadCN and Tailwind CSS for Speed and Efficiency:

Efficiency and speed were our guiding principles as we embarked on the development journey. Our choice of ShadCN, a specialized and versatile library, alongside Tailwind CSS, a utility-first CSS framework, empowers us to iterate rapidly. ShadCN, although less recognized, equips us with pre-built components for seamless integration.

It harnesses the power of Radix UI and Tailwind CSS, enabling us to craft an aesthetically pleasing and efficient user interface. Tailwind CSS's utility-first approach is instrumental in maintaining a consistent and maintainable design, a critical aspect when dealing with diverse demographic metadata.

This combination ensures swift development and fine-tuning of the user interface, perfectly aligned with the fast-paced nature of a hackathon. Lens Protocol for Secure and User-Controlled Access:

At the core of our tech stack lies Lens Protocol, the guardian of secure and user-controlled access to our social layer.

Leveraging blockchain technology, smart contracts, and NFTs (ERC721 tokens) on the Polygon blockchain, Lens Protocol establishes a decentralized Web3 social graph.

This architecture guarantees that users maintain complete ownership, control, and personalization of their social interactions. Unlike centralized platforms, our approach is permissionless and composable, granting content creators unprecedented control over their digital presence and connections.

Users can establish a unified profile spanning all social media apps within the Lens platform, offering them absolute authority over their accounts and social influence. Through smart contracts and NFTs, users gain possession of their posts, preferences, and networks, transforming these elements into proprietary assets transferable across other social networks built upon Lens.

In conclusion, our tech stack is purposefully designed to address the profound challenge of adding a social layer to Wikipedia. Policymakers can now leverage this solution to engage with end-users, filter information effectively, and unearth valuable insights driven by demographic metadata. This stack embodies a pragmatic, efficient, and technically sound approach, ensuring that our solution exceeds the expectations of a blockchain hackathon.