# Feed

Discover interests by swiping:

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd4RnPQgTyLm0Xk3eu2FOLw5IRmyAoYCJmFzVpVGYJIXlg7DMfXJYp3t-aD2e-wJ6RuRqA-Z5zYCMqSu6E0p0jafmfw8oaMMJUeZEHkQ-nG2Memv1gaMnfUVtGsLokrUJelny-nXbIZh-qR0NwcmrA6cpMJ?key=fbonewFCaknegM4dU9csmQ)<br>

In the M2M app, users can scroll through content and discover interests linked to the images displayed. The app works similarly to a dating platform, where users can specify their preferences by swiping and thus refine:

Swipe for preferences:

Swipe right (Like): If a user finds an image and the interests associated with it exciting, they can swipe right to add those interests to their profile.

Swipe Left (Dislike): If an image or the interests associated with it are not appealing, the user can swipe left to dislike it.

Refinement of the profile:

Every time a user swipes right or left, interests are added or ignored to their local profile accordingly. This allows the user to further refine their profile and receive personalized content that corresponds to their actual interests.

Data protection and local storage:

Interests are stored securely and encrypted on the user's device, ensuring privacy.

Intuitive swiping makes the app a fun and efficient tool for discovering personal interests and creating an accurate profile - all decentralized and secure.

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfd4GxyGx8oA9bBRNgJR_wJOl9aamKmxSm_-dUb8VPHZaDNgX2LRao-NVmLk4qRlkD5WCMyB4Sy6KhlZX2XAyZA_T9GmcijyMzMGmsYsKTi0QH8br66GdmxlTSHnEvkLdG517URJ-1E87HLcDF_vTHJkfnz?key=fbonewFCaknegM4dU9csmQ)

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://matchcoin.gitbook.io/whitepaper-m2m-by-matchcoin/match-coin/our-products/feed.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
