PowerSearch

Topics board

Cats search board

The internet's favorite animal. A light board for photos, care questions and adoption posts. This board splits X's posts about Cats into 5 columns. Each one is a saved search you can open on X right now, or load the whole set into the planner and make it yours.

Load into the planner Search term: (cat OR cats OR kitten)

Columns on the Cats board

  1. 1

    Latest

    Latest 
    (cat OR cats OR kitten) -filter:replies lang:en

    Every new original post in English, newest first. Replies are left out so the column stays readable.

    Open in X (Latest column, new tab)
  2. 2

    Explainers

    Latest 
    (cat OR cats OR kitten) (thread OR explained OR "history of" OR "did you know") -filter:replies

    Threads and explainers, the long-form side of X.

    Open in X (Explainers column, new tab)
  3. 3

    Questions

    Latest 
    (cat OR cats OR kitten) ("how do" OR "anyone know" OR "should i" OR "does anyone") -filter:links

    People asking something. These are the posts most worth answering, and they rarely contain links.

    Open in X (Questions column, new tab)
  4. 4

    Images

    Media 
    (cat OR cats OR kitten) filter:images min_faves:100

    Pictures with at least 100 likes.

    Open in X (Images column, new tab)
  5. 5

    News & links

    Latest 
    (cat OR cats OR kitten) filter:links -filter:replies min_retweets:10

    Posts that share a link and got at least ten reposts, which filters out most link spam.

    Open in X (News & links column, new tab)

How this board is put together

A topic board is for subjects people learn about and share: history, science, animals. It leans on explainer threads, questions and images, and keeps a news column for anything new.

All the columns share the same search term, (cat OR cats OR kitten), and then narrow it. Latest columns open X's Latest tab sorted by time. Media columns open the Media tab, and Top columns open the default ranking, which favors posts with more engagement.

Make it fit

  • Explainer threads often include errors. Check a claim against a primary source before you repost it.
  • Drop min_faves on the Images column for a niche subject, where 100 likes is rare.
  • Engagement thresholds like min_faves: and min_retweets: are rough. Raise them if a column is noisy, drop them if it stays empty.

Not sure what an operator does? The operator cheatsheet explains each one and the quirks to watch for.