Our platform stores and analyzes X (Twitter) data to provide you with valuable insights on the latest trends and help you stay up-to-date with the audience. Discover what's currently trending, track trend history(30 days), and explore popular hashtags and topics over the long term.
Here are the current top X (Twitter) trending topics United States, as of 52 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Tesla
1.4m
|
1.4m | Copy |
| 2 | Clemson
below 10k
|
below 10k | Copy |
| 3 | #severance
84.1k
|
84.1k | Copy |
| 4 | $SAMS
4.7k
|
4.7k | Copy |
| 5 | #MarchMadness
61.8k
|
61.8k | Copy |
| 6 | Department of Education
below 10k
|
below 10k | Copy |
| 7 | Jackie Robinson
below 10k
|
below 10k | Copy |
| 8 | #socideveloper_com
2.1k
|
2.1k | Copy |
| 9 | Good Friday
66.6k
|
66.6k | Copy |
| 10 | Creighton
33.4k
|
33.4k | Copy |
| 11 | $jarvis
5.2k
|
5.2k | Copy |
| 12 | Kansas
below 10k
|
below 10k | Copy |
| 13 | #FridayVibes
4.1k
|
4.1k | Copy |
| 14 | #Doechii
below 10k
|
below 10k | Copy |
| 15 | Bud Light
59k
|
59k | Copy |
| 16 | Barron
55.8k
|
55.8k | Copy |
| 17 | Louisville
33.2k
|
33.2k | Copy |
| 18 | Mizzou
10.2k
|
10.2k | Copy |
| 19 | Happy Spring
48k
|
48k | Copy |
| 20 | High Point
19.4k
|
19.4k | Copy |
| 21 | Heathrow
73.1k
|
73.1k | Copy |
| 22 | Drake
80.6k
|
80.6k | Copy |
| 23 | Rick Wilson
60.8k
|
60.8k | Copy |
| 24 | The DOE
45k
|
45k | Copy |
| 25 | Tim Walz
149k
|
149k | Copy |
| 26 | Happy Friyay
below 10k
|
below 10k | Copy |
| 27 | MONA LISA
516k
|
516k | Copy |
| 28 | Ubisoft
62.2k
|
62.2k | Copy |
| 29 | Ravi
33.4k
|
33.4k | Copy |
| 30 | UC San Diego
5.7k
|
5.7k | Copy |
| 31 | UCSD
6.2k
|
6.2k | Copy |
| 32 | DoorDash
35.2k
|
35.2k | Copy |
| 33 | Bronny
59.4k
|
59.4k | Copy |
| 34 | Truman
151k
|
151k | Copy |
| 35 | Mark S
below 10k
|
below 10k | Copy |
| 36 | Finally Friday
2.6k
|
2.6k | Copy |
| 37 | Klarna
14.6k
|
14.6k | Copy |
| 38 | Selena
below 10k
|
below 10k | Copy |
| 39 | Yella Beezy
13.6k
|
13.6k | Copy |
| 40 | Joy Reid
3.4k
|
3.4k | Copy |
| 41 | Bill Self
3.1k
|
3.1k | Copy |
| 42 | Dept of Education
43k
|
43k | Copy |
| 43 | Georgia
54.5k
|
54.5k | Copy |
| 44 | Galveston
8.5k
|
8.5k | Copy |
| 45 | Gonzaga
12.3k
|
12.3k | Copy |
| 46 | El Salvador
167k
|
167k | Copy |
| 47 | Pentagon
86.6k
|
86.6k | Copy |
| 48 | Panama
114k
|
114k | Copy |
| 49 | Brandon Jennings
6.7k
|
6.7k | Copy |
| Note: Trends refreshes every Hour . to view the Hourly trending Trends for last 24 hour click of Expand view button below | |||
Get real-time updates on the hottest trending hashtags and topics on X (Twitter) United States with our automated page. Our page utilizes the official X (Twitter) API to refresh the most talked-about hashtags and topics every 30 minutes, ensuring you always have access to the most current trends on the platform.
These trending hashtags and topics are also popular on other social media platforms like Instagram, YouTube, and Facebook. Bookmark our page to stay updated on what's trending on X (Twitter) United States .
X (Twitter) uses a combination of factors to determine the most popular and relevant trending topics on the platform. These include the number of tweets, the number of users tweeting about a topic, and the level of engagement on tweets related to the topic. The platform's algorithms also consider the user's location and language to display trends that are relevant to their specific region and language.
Trending topics on X (Twitter) are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the X (Twitter) community as a whole. The platform's algorithms are designed to identify topics that are popular among a wide range of users, rather than just a small group. Any attempts to artificially manipulate trending topics are strictly prohibited by Twitter's policies.
X (Twitter) 's trending algorithm is designed to identify significant increases in the popularity of a specific topic or hashtag, compared to its usual level of activity. To do this, the algorithm takes into account both the volume of tweets about the topic (the number of tweets) and the time it takes to generate that volume of tweets. Time is a critical factor in determining trends, as a topic that gradually builds in popularity over the course of a month may generate a large number of tweets after 30 days, but may not have experienced a sudden spike in activity that would qualify it as a trend. By considering both volume and time, X (Twitter) 's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.