In Exploring Hive Evergreen Content, I explained that one of my projects is to continue monthly lists of evergreen content. As identified by the PeakD Hive frontend. So here I present data from January 2025 Most Viewed Posts.
Image created using CreArt with the prompt, "People reading content on multiple devices in evergreen woods".
Evergreen Content List Jan 2025
In this list of evergreen content, Most Recent Post is the date on which the author last posted, as at 10 Feb, 2025
| Date | Title | Description | Community | Author | Most Recent Post |
|---|---|---|---|---|---|
| Sep 16, 2024 | Lahori Pizza Göteborg | Ali and Khola's Journey Bringing Pakistani Flavors to Sweden | Ali and Khola, founders of Lahori Pizza, share their journey of bringing Pakistani flavors to Sweden. Discussing their unique concept, menu offerings, challenges. Also, their plans for engaging with the local community in Göteborg. | ThoughtfulDailyPost | @shahzad-ansari | 16 Sep, 2024 |
| Nov 11, 2024 | Untitled | Whale watching tour departing from Depoe Bay on the Oregon Coast. Featuring photography and travel experiences. | Snaps | @oldmans | 16 Jan, 2025 |
| Oct 28, 2024 | 100 Cards. One Auction House. No Second Chances. | Introduces the Splinterlands Auction House. Where only 100 max-level copies of the legendary Heloise the Hollow card will be sold in auctions starting on October 29th. Bidders must compete for the chance to acquire this game-changing card with unique abilities. | Splinterlands | @splinterlands | 9 Feb, 2025 |
Unfortunately, there are only these 3 that qualify for January 2025. Which shows a dramatic difference from the months that I studied in 2023. At that time, there were a significant number of posts. And I decided I would list the top 7. As you see in November 2023 Evergreen Content.
I was never completely happy with relying on data from only one front end. So I think I will abandon this PeakD-based project. In order to focus on projects where I have more control of the source data.
This emphasizes to me some feelings that I developed as I researched how I would present and market my own evergreen content on Hive. Because I believe that:
- Bloggers need accurate historic viewing data. In order to identify where their readers are finding their content.
- Where readers are coming from search engines, we need to know what their queries are.
- Personalized frontends help individual bloggers present their content as they wish it to be seen.
- Custom frontends for communities could allow individual bloggers to specialize on popular topics within their community.
Frontend Evergreen Content Next Steps
I've shown that evergreen content from the PeakD frontend is difficult to identify. Therefore, my next steps will be to improve my personal Hive blog frontend. Especially with respect to identifying data for historic traffic and potential evergreen content topics.
Please share your questions, experiences, and opinions in the comments.
Return from January 2025 PeakD Evergreen Content to Keith Taylor's Web3 Blog
