DataSpoof
Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data
Show moreπ Analytical overview of Telegram channel DataSpoof
Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 102 subscribers, ranking 12 529 in the Education category and 26 401 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 16 102 subscribers.
According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -159 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.31%. Within the first 24 hours after publication, content typically collects 2.29% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 369 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as api, llm, pipeline, +9183182, engineer.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Data Science
https://dataspoof4081.graphy.com/membership
Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
Big dataβ
Thanks to the high frequency of updates (latest data received on 26 June, 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 Education category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 26 June | 0 | |||
| 25 June | 0 | |||
| 24 June | +1 | |||
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| 22 June | 0 | |||
| 21 June | +1 | |||
| 20 June | +1 | |||
| 19 June | 0 | |||
| 18 June | 0 | |||
| 17 June | 0 | |||
| 16 June | 0 | |||
| 15 June | 0 | |||
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| 12 June | 0 | |||
| 11 June | 0 | |||
| 10 June | 0 | |||
| 09 June | 0 | |||
| 08 June | 0 | |||
| 07 June | 0 | |||
| 06 June | +1 | |||
| 05 June | 0 | |||
| 04 June | 0 | |||
| 03 June | 0 | |||
| 02 June | +3 | |||
| 01 June | 0 |
| 2 | The RAG architecture which is used in enterprise level. | 0 |
| 3 | Complete post
https://www.linkedin.com/posts/abhishek-kumar-singh-8a6326148_datascience-genai-activity-7445330995358388224-NYkz?utm_source=share&utm_medium=member_android&rcm=ACoAACOks34BFSi927IWily_2kgESJV38GQlIWQ
Follow @dataspoof to learn about #datascience and #genai | 0 |
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