Channels like @datascienceiot
What Telegram recommends beside Data Science, ranked by size and shown with the numbers Telegram leaves out.
Measured in week 38 of 2026, on 14 Sept 2026, from public Telegram data
Recommended alongside
| Channel | Name | Subscribers | 14 days | Topic |
|---|---|---|---|---|
 @ai_machinelearning_big_data | Machinelearning | 280,748 | -0.61% | Science |
 @data_secrets | Data Secrets | 93,687 | +0.71% | Science |
 @pythonl | Python/ django | 58,888 | -0.15% | Programming |
 @data_analysis_ml | Анализ данных (Data analysis) | 50,599 | 0.00% | Russian-language |
 @machinelearning_interview | Machine learning Interview | 30,298 | +0.11% | AI and machine learning |
 @bigdatai | Big Data AI | 18,212 | -0.07% | Russian-language |
 @machinelearning_ru | Машинное обучение RU | 18,186 | +0.05% | Russian-language |
 @machinelearning_books | Машиннное обучение | Наука о данных Библиотека | 16,881 | -0.05% | AI and machine learning |
 @ArtificialIntelligencedl | Artificial Intelligence | 16,796 | -0.07% | AI and machine learning |
 @data_math | Математика Дата саентиста | 14,269 | +0.29% | Russian-language |
This list comes from Telegram's own recommendation graph. The subscriber counts, growth and topics are ours — Telegram shows the names and stops there.
The reverse
8 channels in the index have @datascienceiot in their own recommendation list. That direction is not something Telegram publishes — see the channel page for the full list.
Build this yourself
One call returns the recommendation list for any public channel. The counts and growth come from asking for each channel in turn.
curl --request GET \
--url 'https://telegram155.p.rapidapi.com/v1/channels/recommendations?peer_id=1131189982' \
--header 'x-rapidapi-host: telegram155.p.rapidapi.com' \
--header 'x-rapidapi-key: YOUR_KEY'The recommendation graph for any public channel
2,500 calls a month, no card. No bot token and no phone number.