Channels like @data_analysis_ml
What Telegram recommends beside Анализ данных (Data analysis), 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 |
 @datascienceiot | Data Science | 42,646 | +0.22% | Science |
 @sqlhub | Data Science. SQL hub | 35,983 | 0.00% | Russian-language |
 @machinelearning_interview | Machine learning Interview | 30,298 | +0.11% | AI and machine learning |
 @python_job_interview | Python вопросы с собеседований | 24,876 | +0.04% | Programming |
 @bigdatai | Big Data AI | 18,212 | -0.07% | Russian-language |
 @machinelearning_ru | Машинное обучение RU | 18,186 | +0.05% | Russian-language |
 @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
13 channels in the index have @data_analysis_ml 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=1684146975' \
--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.