Introducing Public Favorites in User Profiles on Waivio

in #waivio10 months ago

After the successful introduction of the public shop feature in user profiles, many of you reached out with a fantastic suggestion: the ability to showcase your favorite businesses, restaurants, and places in a similar, personalized manner. We're excited to announce that we've made this idea a reality with the launch of the Favorites section in user profiles on Waivio!

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How It Works:

Adding an item to your Favorites on the Hive blockchain is as simple as can be.

Whenever you find a spa, café, park, or any place that captures your heart, just hit the heart icon, and it will automatically be added to your Favorites section.

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Additionally, if you reference any business, restaurant, place, or page in your posts, Waivio will automatically add it to your Favorites section in your profile. This happens seamlessly, keeping your Favorites list fresh and up-to-date with your latest discoveries and recommendations. If you would like to remove it, you can toggle the heart icon on and off.

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Start Sharing and Discovering:

With this update, your Waivio profile becomes an even more powerful tool for sharing and discovery. By simply posting about the places and businesses you love, you're creating a curated list of recommendations for your followers and the broader community. As you explore other users' content, you'll find new favorites among their shared experiences.

Future Developments:

We are exploring ways to make it easier to add businesses and other objects to the Hive blockchain. Our goal is for these entries to serve as a repository for accumulating knowledge and community reviews about experiences, destinations, and ideas.

Currently, you can utilize the Waivio Chrome Extension to add products from Amazon, Walmart, Sephora to the Hive blockchain with just one click. We're excited to announce that the latest version of the Extension now also supports the import of businesses and restaurants from OpenStreetMap.org.

Here at Waivio Labs, we are exploring a number of interesting applications of Web3 for building social shops and other themed social websites.


Other Updates:

  1. Social.Gifts / Analytics - integrate Google Analytics into the hosted websites (5793);

2. Social.Gifts / AdSense - integrate AdSense verification codes and ads.txt (5801, 5802);

3. Social.Gifts / Lists - enable descriptions and titles on lists for better SEO (5888, 5950);

4. Social.Gifts / Domains - always use https://, forward third level names (6035, 6034);

5. Social.Gifts / Sitemap - add canonical posts, profiles (6040);

5. Comments / Drafts - save comment drafts for seamless continuation of editing (5866);

7. Extension / Walmart - enable one click product import from Walmart and Sephora shops (5862, 5877, 5908, 5909);

8. Data Tools / Duplication - automatic duplication of lists with new descriptions (5885, 5913, 6065);

9. Comments / Signature - add Profile signature to comments (6095);

10. SEO / Canonical - original source attribution through all hosted websites (6128, 6129).

Minor Updates and Bug Fixes:

Tasks: 5784, 5783, 5786, 5787, 5798, 5799, 5813, 5827, 5831, 5826, 5837, 5838, 5845, 5846, 5828, 5847, 5863, 5864, 5865, 5905, 5910, 5911, 5927, 5935, 5952, 5958, 5958, 5971, 5982, 5980, 5990, 6018, 5993, 5995, 6025, 6024, 5987, 6029, 6032, 6033, 6074, 6036, 6037, 6038, 6039, 6041, 6042, 6043, 6046, 6051, 6052, 6053, 6059, 6064, 5613, 6073, 6075, 6076, 6086, 6096, 6108, 6110, 6119, 6120, 6121, 6132, 6136, 6142, 6144, 6145, 6115, 6154, 6155.

Waivio is an open-source project. Further information about tasks and development progress can be found on GitHub.

https://waivio.nyc3.digitaloceanspaces.com/1691333366_26d07abd-0b6b-489e-a216-23b194fddb17

GitHub: https://github.com/Waiviogit/waivio

X: https://x.com/waiviolabs

Blog: https://www.waivio.com/@waivio

Waivio #hivedev #development #hiveprojects

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Integrating shops and favorites into user profiles on social shopping sites allows for personalized curation of travel destinations, favorite dining spots, and product recommendations. This enhances the community experience by transforming individual profiles into vibrant hubs of shared interests and trusted advice.