Гаджет Станция
Гаджеты, которые меняют нашу жизнь. Смартфоны, автомобили, нейросети, роботы, необычные устройства и главные новинки рынка. Новости, обзоры, мнения. 💬 По рекламе в канале: @neurobird
Show more📈 Analytical overview of Telegram channel Гаджет Станция
Channel Гаджет Станция (@gadget_station) in the Russian language segment is an active participant. Currently, the community unites 290 877 subscribers, ranking 300 in the Technologies & Applications category and 1 235 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 290 877 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -21 237 over the last 30 days and by -3 409 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 36.09%. Within the first 24 hours after publication, content typically collects 14.16% reactions from the total number of subscribers.
- Post reach: On average, each post receives 107 777 views. Within the first day, a publication typically gains 42 285 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 395.
- Thematic interests: Content is focused on key topics such as аккумулятор, планшет, дисплей, usb, bluetooth.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Гаджеты, которые меняют нашу жизнь. Смартфоны, автомобили, нейросети, роботы, необычные устройства и главные новинки рынка. Новости, обзоры, мнения. 💬 По рекламе в канале: @neurobird”
Thanks to the high frequency of updates (latest data received on 30 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
