Data Science. SQL hub

📈 Analytical overview of Telegram channel Data Science. SQL hub

Channel Data Science. SQL hub (@sqlhub) in the Russian language segment is an active participant. Currently, the community unites 36 030 subscribers, ranking 3 735 in the Technologies & Applications category and 17 586 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 36 030 subscribers.

According to the latest data from 08 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 55 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

• Verification status: Not verified
• Engagement rate (ER): The average audience engagement rate is 8.77%. Within the first 24 hours after publication, content typically collects 3.95% reactions from the total number of subscribers.
• Post reach: On average, each post receives 3 158 views. Within the first day, a publication typically gains 1 422 views.
• Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
• Thematic interests: Content is focused on key topics such as sql, индекс, postgres, index, sqlite.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“По всем вопросам- @workakkk @itchannels_telegram - 🔥лучшие ит-каналы @ai_machinelearning_big_data - Machine learning @pythonl - Python @pythonlbooks- python книги📚 @datascienceiot - ml книги📚 РКН: https://vk.cc/cIi9vo #VRHSZ”

Thanks to the high frequency of updates (latest data received on 09 November, 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.