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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 in week 38 of 2026, on 14 Sept 2026, from public Telegram data

Recommended alongside

ChannelNameSubscribers14 daysTopic
@ai_machinelearning_big_dataMachinelearning280,748-0.61%Science
@ai_newzэйай ньюз96,872+0.20%AI and machine learning
@data_secretsData Secrets93,687+0.71%Science
@pyproglibБиблиотека питониста | Python, Django, Flask37,383-0.18%Programming
@cryptovaleriiВремя Валеры30,815-0.04%AI and machine learning
@machinelearning_interviewMachine learning Interview30,298+0.11%AI and machine learning
@datajobData jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту14,793+0.69%AI and machine learning
@ds_interview_libБиблиотека собеса по Data Science | вопросы с собеседований4,460-0.16%AI and machine learning
@ds_problems_libБиблиотека задач по Data Science | тесты, код, задания3,982-0.05%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.

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