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Channels like @physics_lib

What Telegram recommends beside Physics.Math.Code, 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
@data_secretsData Secrets93,687+0.71%Science
@datascienceiotData Science42,646+0.22%Science
@bzd_channelBZD • Книги для программистов36,426-0.01%Science
@hahacker_newshahacker_news25,581-0.27%Science
@bookflowПрограммирование {BookFlow}15,614-0.13%Science
@PomatematikeЯ Математик15,146-0.11%Science
@mentor_itРепетитор IT men14,389+0.79%Science
@cme_channelНепрерывное математическое образование12,695+0.22%Science
@mathematics_not_for_youМатематика не для всех10,969-0.22%Science

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

3 channels in the index have @physics_lib 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=1360755573' \
  --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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