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 Poland, as of 45 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #LEGPOG
below 10k
|
below 10k | Copy |
| 2 | #skijumpingfamily
5.2k
|
5.2k | Copy |
| 3 | #PIAWID
below 10k
|
below 10k | Copy |
| 4 | #WISKOT
below 10k
|
below 10k | Copy |
| 5 | Feio
18.7k
|
18.7k | Copy |
| 6 | Mentzen
18k
|
18k | Copy |
| 7 | Rodado
below 10k
|
below 10k | Copy |
| 8 | Chodyna
below 10k
|
below 10k | Copy |
| 9 | Bangkoku
1.3k
|
1.3k | Copy |
| 10 | Studia
14k
|
14k | Copy |
| 11 | Gual
below 10k
|
below 10k | Copy |
| 12 | #mustbethemusic
below 10k
|
below 10k | Copy |
| 13 | Kapustka
below 10k
|
below 10k | Copy |
| 14 | Małysz
below 10k
|
below 10k | Copy |
| 15 | maciej maciusiak
below 10k
|
below 10k | Copy |
| 16 | Ghibli
582k
|
582k | Copy |
| 17 | Hołownia
10k
|
10k | Copy |
| 18 | Zandbergiem
below 10k
|
below 10k | Copy |
| 19 | Tajlandii
below 10k
|
below 10k | Copy |
| 20 | Trzaskowski
40.2k
|
40.2k | Copy |
| 21 | Greenland
258k
|
258k | Copy |
| 22 | Sławek
3.6k
|
3.6k | Copy |
| 23 | Pogonią
below 10k
|
below 10k | Copy |
| 24 | Wcisło
below 10k
|
below 10k | Copy |
| 25 | Vinagre
below 10k
|
below 10k | Copy |
| 26 | Kotwicy
below 10k
|
below 10k | Copy |
| 27 | Planicy
below 10k
|
below 10k | Copy |
| 28 | Legii
below 10k
|
below 10k | Copy |
| 29 | Thomasa
below 10k
|
below 10k | Copy |
| 30 | Francją
4.2k
|
4.2k | Copy |
| 31 | Widzewa
below 10k
|
below 10k | Copy |
| 32 | Borsuka
below 10k
|
below 10k | Copy |
| 33 | Stanowskiego
1.1k
|
1.1k | Copy |
| 34 | Grenlandii
1.4k
|
1.4k | Copy |
| 35 | Anna W.
6.7k
|
6.7k | Copy |
| 36 | Debata
2.2k
|
2.2k | Copy |
| 37 | Stoch
1k
|
1k | Copy |
| 38 | Pani Anna
2.3k
|
2.3k | Copy |
| 39 | Thailand
493k
|
493k | Copy |
| 40 | Wystarczyło
1k
|
1k | Copy |
| 41 | Warta
below 10k
|
below 10k | Copy |
| 42 | Olmo
24.4k
|
24.4k | Copy |
| 43 | płatne
8k
|
8k | Copy |
| 44 | Birmie
below 10k
|
below 10k | Copy |
| 45 | Wokulskiego
below 10k
|
below 10k | Copy |
| 46 | Wąska
below 10k
|
below 10k | Copy |
| 47 | mjanmie
below 10k
|
below 10k | Copy |
| 48 | kubacki
below 10k
|
below 10k | Copy |
| 49 | Jaroch
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) Poland 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) Poland .
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.