Channels like @dsproglib
What Telegram recommends beside Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение, ranked by size and shown with the numbers Telegram leaves out.
Measured 2026-W36 · 2026-08-31 · public Telegram data
Recommended alongside
| Channel | Name | Subscribers | Growth | Topic |
|---|---|---|---|---|
| @ai_machinelearning_big_data | Machinelearning | 282,481 | — | Science |
| @ai_newz | эйай ньюз | 96,678 | — | AI and machine learning |
| @data_secrets | Data Secrets | 93,025 | — | Science |
| @pyproglib | Библиотека питониста | Python, Django, Flask | 37,452 | — | Programming |
| @cryptovalerii | Время Валеры | 30,826 | — | AI and machine learning |
| @machinelearning_interview | Machine learning Interview | 30,265 | — | AI and machine learning |
| @datajob | Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту | 14,692 | — | AI and machine learning |
| @ds_interview_lib | Библиотека собеса по Data Science | вопросы с собеседований | 4,467 | — | AI and machine learning |
| @ds_problems_lib | Библиотека задач по Data Science | тесты, код, задания | 3,984 | — | AI and machine learning |
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
2 channels in the index have @dsproglib 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=1191313451' \
--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.