Cookrypt

Data privacy is important. Surveillance capitalism has ​invaded our lives, with every app on our phones collecting ​all kinds of data about us. Some of this data is used to fuel ​addictive recommendation algorithms, some is packaged for ​training AI models, and some is sold for profit. These ​platforms are using our own assets against us. Our data and ​privacy should be in our own hands, not exploited by these ​platforms.

Unfortunately, due to the growth of these platforms, we’ve ​grown accustomed to using sites like Instagram or Amazon, ​making it unrealistic to simply abandon them for the sake of ​data privacy, which may not feel immediately relevant to ​our daily lives. However, even though we haven’t yet found ​an ideal solution, we are still searching for a way to allow ​users to regain control over their data and experience its ​benefits rather than its harm.

We hope to employ decentralized methods to help users ​reclaim their data ownership. This application shouldn’t just ​be limited to the Web3 community—it should be a tool that ​everyone can use to benefit from. We’ve seen the efforts of ​others before us, like data2.cash, and recognize the ​challenges of this path. Although the field lacks a proven ​business model, we’re committed to being among the first to ​explore it.

Cookrypt is a project by P-Lab, currently in the demo ​validation stage. While our main focus remains on Punky, ​we plan to dedicate ourselves to Cookrypt’s development in ​the first half of next year.

We aim to create a product that collects user activity data on ​the client side, processes it into scalable tags using AI, and ​then uploads it to a decentralized advertising platform ​through zero-knowledge proof, ensuring user privacy. This ​platform can then use tokens to pay users directly to view ​relevant ads, providing more targeted ad exposure. In this ​process, as a matchmaking platform, we empower users to ​make better use of their data, return control of data ​processing to them, and simultaneously offer advertisers ​clearer user profiles and more accurate platform exposure.