Serendipity

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Problem Statement

Connecting at large events is hard. Serendipity offers privacy-preserving matchmaking using your Twitter data. The data is vectorized and then used to compute in a Trusted Execution Environment, which is being done to initiate a matching proces. When the primitive reaches around 80% similarity, a chat will be send to both users which they can use to interact with each other through push protocol.

Solution

Connecting at large events is hard. Serendipity offers privacy-preserving matchmaking using your Twitter data. We utilise ZK TLS to fetch the profile information from Twitter and then converting the data into vectors, which is then used to compare against each other and find similarities. If there is 80% similarity the user gets prompted for a chat with push protocol. Users will utilise circle roots from Gnosis Pay to let the user exchange their information and receive personal tokens in return.