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The Explore feed is where every research session starts. It shows TikTok videos from Wholana’s scraped dataset as a grid of cards, with two controls that do most of the work: filters narrow what’s in the feed, and sort decides the order. Open Home in the sidebar to get to it (it lives at /). Explore feed — filter chips, sort, and a grid of video cards with outlier scores

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Filters

Filters scope the feed to the slice of TikTok you care about. Click the + chip next to a filter name to set it. The filter chip row above the video grid
FilterWhat it narrows to
ViewsVideos within a view-count range
LikesVideos within a like-count range
CommentsVideos within a comment-count range
SharesVideos within a share-count range
FollowersVideos from creators within a follower-count range
DateVideos posted in a date range
CreatorVideos from a specific creator
CategoryVideos in a specific subject category
Filters compose. Setting both Followers at 10k–500k and Category to your subject scopes the feed to mid-sized creators in your niche. The video count below “Sort by” updates as you filter, so you can see how aggressive your scope is.
Wholana has no “niche” picker. You express your niche by composing filters. Save your filter pattern in your head (or in a list name) — it’s how you return to the same scope tomorrow.

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Sort

The Sort by control orders the filtered feed. Options:
  • Outlier score (default for finding what’s worth studying)
  • Date (most recent first)
  • Views
  • Likes
  • Comments
  • Shares
Different sorts answer different questions. Sort by Date when you want to see what’s new in your niche. Sort by Views to see what’s already big. Sort by Outlier score to find videos performing far above the creator’s own baseline — usually the most interesting signal for a research session.

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Outlier score

Every card shows a multiplier like 0.2x, 1.0x, or 1.9x. That is the Outlier score: 
Outlier score = video views / median of that creator's views
What the values mean:
  • 1.0x — the video matches the creator’s typical performance
  • >1.0x — a breakout, relative to that creator
  • <1.0x — underperforming, relative to that creator
The score is per-creator, so a 100k-view video from a creator who normally gets 200k will score 0.5x, while a 30k-view video from a creator who normally gets 5k will score 6x. The second one is usually the more interesting signal — a sudden hit from someone who doesn’t normally get them. Sorting by Outlier score surfaces these breakouts regardless of absolute size, which is the point.

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Working a session

1

Scope

Add filters until the feed is narrow enough to skim — usually under a few hundred videos.
2

Sort

Pick the sort that matches what you’re looking for. Outlier score is the default; switch when you have a different question.
3

Bookmark by theme

When a video catches you, click the bookmark icon on the card to save it to your last-used list. Use the dropdown chevron next to it to pick a different list. Don’t break flow.
4

Save as an idea when you want to note something

For videos worth deeper study, click the card to open its detail view and save it as an idea with a note attached. The two save mechanisms are independent — a video can be both, just one, or neither.
Explore feed data is scraped and refreshes daily. It is not a real-time feed.