Sort and Filter by Views and Reactions: Stop Scrolling for Your Best Posts

Two new sort and filter axes, view count and reaction type, so the most-watched or most-loved post in a library of thousands surfaces in seconds.

The problem

You've captured thousands of posts across the profiles you track, and somewhere in there is the most-watched video a page ever posted, or the post that pulled the most genuine love rather than the most engagement, but the only way to find it today is to scroll and eyeball. Sorting exists, but it's built around likes, comments, and date, not views or reaction type, so a question like "what did this page's most-watched video ever do" has no fast answer. It's a sorting gap, not a data gap.

What we're building

Two new axes to sort and filter across your saved posts, whether you're looking at one profile or your entire All Posts view.

• Sort any set of posts by view count, highest or lowest, to find a page's most-watched video.

• Filter and sort by reaction type to surface the most-loved posts, not just highest-total.

• Both work everywhere you already sort, from one profile to your whole library.

How it works for you

Open a profile you've tracked for months, sort by views, and its best-performing video is the first thing you see. Switch to reactions, pick "love," filter by date or format, and you've got a ranked list in two clicks.

What you get

• A page's single most-watched post found in seconds, no matter how large the library.

• The ability to separate real positive sentiment from posts that just pulled a big number.

• Filters that stack: reaction type, date, format, and profile combine into one specific question.

For example

Studying a competitor's video strategy over a year, you sort by views and find their top result buried on page eleven by date, a video that pulled four times the views of anything else they posted that year.

What it unlocks

This is what turns captured data into something you actually use day to day, since view counts and reactions are only as useful as your ability to slice by them. It compounds with everything else PostSnag tracks, letting you stack filters into specific questions.

Who it's for

Anyone sitting on a large tracked library who needs an answer fast: researchers comparing competitors at scale, agencies pulling highlights on a deadline, and creators studying their own history.