Why Operators Beat Scrolling
The default search returns a ranked blend of recent and popular posts. That is fine for casual browsing, but useless when you need a specific quote from 2022, the most-liked post in a niche last week, or every tweet a competitor wrote about a launch. Operators turn the search box into a query language.
They are also the backbone of every social-listening tool you have ever used. Learning them directly lets you skip the subscription.
Author and Audience Operators
These filter by who wrote a tweet or who it was aimed at.
- `from:username` returns posts by a specific account. Example: `from:elonmusk grok`
- `to:username` returns replies directed at an account. Example: `to:nasa launch`
- `@username` returns posts that mention the account in any position
- `list:listid` returns posts only from members of a public List
- `filter:verified` limits to blue-check accounts (still active in 2026)
- `filter:follows` limits to accounts you follow
Combine them: `from:openai to:sama` finds every post OpenAI sent at Sam Altman.
Date and Time Operators
Date filters are the single highest-leverage operator. Most users never touch them.
- `since:YYYY-MM-DD` returns posts on or after the date
- `until:YYYY-MM-DD` returns posts on or before the date
- `since_time:UNIXTIME` and `until_time:UNIXTIME` allow second-level precision
Example: `tesla earnings since:2026-01-01 until:2026-01-31` returns every January 2026 post mentioning Tesla earnings.
Engagement Operators
The quality filters. These are how you find viral posts on any topic.
- `min_faves:N` requires at least N likes
- `min_retweets:N` requires at least N reposts
- `min_replies:N` requires at least N replies
- `-min_faves:N` excludes posts above a threshold (rarely needed)
Example: `ai agents min_faves:1000 since:2026-05-01` finds every post about AI agents from May 1 onward with at least 1,000 likes. Sort by Latest to see what is currently trending in the niche.
Content and Media Operators
Filter by what the post contains.
- `filter:media` requires any image, video, or GIF
- `filter:images` requires a still image
- `filter:videos` requires a native video upload
- `filter:native_video` excludes embedded YouTube or external video
- `filter:links` requires an outbound URL
- `filter:replies` includes replies (excluded by default in some search modes)
- `-filter:replies` excludes replies
- `filter:quote` requires the post to be a quote repost
- `filter:nativeretweets` requires a plain repost
- `filter:spaces` returns posts that link to or announce a Space
Example: `marketing tips filter:videos min_faves:500` surfaces high-performing video tutorials in the niche.
Language and Location Operators
Great for international research and local trends.
- `lang:en` limits to English; use any ISO code (`lang:tr`, `lang:ja`, `lang:pt`)
- `place:placeid` filters by a Foursquare-style place identifier
- `near:"city"` returns posts geotagged near a city, e.g. `near:"Berlin"`
- `within:Nmi` or `within:Nkm` sets the radius, e.g. `near:"Tokyo" within:25km`
- `geocode:lat,long,radius` for precise coordinate-based search
Example: `coffee near:"Istanbul" within:5km lang:tr min_faves:50` finds popular Turkish-language coffee posts inside Istanbul.
Sentiment and Question Operators
Underused, but powerful for product research and customer support.
- `?` returns posts containing a question mark
- `:)` returns posts with positive sentiment markers
- `:(` returns posts with negative sentiment markers
- Combine with a brand name: `yourbrand :(` surfaces complaints fast
Phrase, Boolean, and Exclusion Logic
Search supports standard boolean syntax.
- `"exact phrase"` matches the words in order
- `word1 OR word2` matches either (the OR must be uppercase)
- `word1 word2` matches both (implicit AND)
- `-word` excludes posts containing the word
- `(group1 OR group2) AND topic` allows parentheses for complex queries
Example: `(launch OR release) iphone -android since:2026-06-01` returns iPhone launch or release chatter from June onward, excluding Android comparisons.
URL and Hashtag Operators
- `#hashtag` matches the tag exactly
- `$TICKER` matches stock cashtags, e.g. `$NVDA`
- `url:domain.com` finds posts linking to a specific domain
- `url:youtube.com from:username` finds every YouTube link an account shared
Real Workflow Examples
A few queries to copy and adapt.
Find your best-performing post in a month: `from:yourhandle min_faves:100 since:2026-05-01 until:2026-05-31`
Audit a competitor's video strategy: `from:competitor filter:native_video since:2026-01-01`
Catch unbranded complaints: `"yourproduct" (broken OR refund OR bug) -filter:replies min_faves:5`
Source viral memes in your niche: `topic filter:images min_faves:5000 lang:en since:2026-06-01`
Track a launch in real time: `"product name" since_time:1718236800 -filter:retweets` (use the Unix timestamp of the announcement)
If typing operators by hand feels brittle, the visual query builder inside XTapDown turns the same filters into checkboxes and sliders, then exports the raw query you can paste into X.
Limits to Know
A few caveats so you do not chase ghosts.
- The full archive search is real but rate-limited; expect 300 to 500 queries per hour on a free account
- `min_faves` does not index posts from accounts younger than 30 days
- `near:` only works for posts where the author opted into geotagging, which is now under 1 percent of the platform
- Protected accounts never appear in any operator result
Saving Queries for Repeat Use
X does not have native saved searches with notifications anymore, but two workarounds get close.
- Pin a List of bookmarked queries. Create a private note (Apple Notes, Obsidian, anything) with your top 10 queries. One click in, one click out.
- Use the browser bookmark bar. Each X search URL is a deep link with the operators embedded. Bookmark your three most-used queries directly.
- Schedule a weekly review. Run the same three queries every Monday morning to track competitor activity, niche viral posts, and brand mentions. Ten minutes a week beats any paid social-listening dashboard for an individual creator.
The Bottom Line
Four operators do 80 percent of the work: `from:`, `since:`, `min_faves:`, and `filter:videos`. Memorize those, layer on language and sentiment filters as needed, and you can pull research out of X in minutes that would take a paid tool hours. Bookmark this page, build your own query templates, and the search bar becomes your sharpest tool on the platform.