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 San Jose, as of 43 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Kings
49.3k
|
49.3k | Copy |
2 | #SB19xGLOC9
below 10k
|
below 10k | Copy |
3 | #KALAKAL
below 10k
|
below 10k | Copy |
4 | Michigan
46.4k
|
46.4k | Copy |
5 | Sabonis
below 10k
|
below 10k | Copy |
6 | Wolves
17.9k
|
17.9k | Copy |
7 | Demar
below 10k
|
below 10k | Copy |
8 | Monk
13.7k
|
13.7k | Copy |
9 | Keegan
below 10k
|
below 10k | Copy |
10 | Blake
79.8k
|
79.8k | Copy |
11 | Oakland
14.5k
|
14.5k | Copy |
12 | Barca
119.6k
|
119.6k | Copy |
13 | Alabama
77.9k
|
77.9k | Copy |
14 | Mike Brown
below 10k
|
below 10k | Copy |
15 | Gabe Vincent
below 10k
|
below 10k | Copy |
16 | Guardians
12.6k
|
12.6k | Copy |
17 | Stolas
45.9k
|
45.9k | Copy |
18 | Tank
73.6k
|
73.6k | Copy |
19 | #TheFutureIsTeal
below 10k
|
below 10k | Copy |
20 | Barcelona
134.5k
|
134.5k | Copy |
21 | Happy Winter Solstice
31k
|
31k | Copy |
22 | #Boxing
16.1k
|
16.1k | Copy |
23 | Ole Miss
33.6k
|
33.6k | Copy |
24 | CJ Stroud
below 10k
|
below 10k | Copy |
25 | Tennessee
84k
|
84k | Copy |
26 | Ohio State
53.1k
|
53.1k | Copy |
27 | UConn
below 10k
|
below 10k | Copy |
28 | Paige
16.6k
|
16.6k | Copy |
29 | Nico
70.4k
|
70.4k | Copy |
30 | Buckeyes
12.7k
|
12.7k | Copy |
31 | Jeremiah Smith
below 10k
|
below 10k | Copy |
32 | Ryan Day
below 10k
|
below 10k | Copy |
33 | Clemson
54.2k
|
54.2k | Copy |
34 | Usyk
199.1k
|
199.1k | Copy |
35 | Panama
50.8k
|
50.8k | Copy |
36 | Ravens
84.1k
|
84.1k | Copy |
37 | Steelers
70k
|
70k | Copy |
38 | Russ
25.2k
|
25.2k | Copy |
39 | Howard
21.9k
|
21.9k | Copy |
40 | #AEWCollision
12k
|
12k | Copy |
41 | Lamar
54.4k
|
54.4k | Copy |
42 | Cole Anthony
below 10k
|
below 10k | Copy |
43 | Juju Watkins
below 10k
|
below 10k | Copy |
44 | Naylor
below 10k
|
below 10k | Copy |
45 | Heupel
below 10k
|
below 10k | Copy |
46 | Chip Kelly
below 10k
|
below 10k | Copy |
47 | The SEC
124.7k
|
124.7k | Copy |
48 | Rickey
103.2k
|
103.2k | Copy |
49 | Tim Banks
below 10k
|
below 10k | 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) San Jose 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) San Jose .
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.