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Channels like @eBookRoom

What Telegram recommends beside eBook Room, ranked by size and shown with the numbers Telegram leaves out.

Measured 2026-W36 · 2026-08-31 · public Telegram data

2026-W36

Recommended alongside

ChannelNameSubscribersGrowthTopic
@eBooksCafeeBooks Cafe62,418Education and languages
@selfimprovementbooks1𝗦𝗲𝗹𝗳 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗕𝗼𝗼𝗸𝘀43,109Education and languages
@EnglishNovels_ClassicEnglish Novels22,493Education and languages
@success_books_2𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗕𝗼𝗼𝗸𝘀™-Self help books English15,866Education and languages
@Ebook_EmporiumE-book Emporium!13,486Education and languages
@kitablabraryBooks library12,557Education and languages
@Brighten_Up_Your_MindBrighten Up Your Mind11,938Education and languages
@forexbinarymt4mt5indicatorsForex Trading Free Mt411,471Education and languages
@BookHubLibraryBook Hub Library6,268Education and languages
@bookrefersBook Refers - List & Recommendations1,864Education and languages

This list comes from Telegram's own recommendation graph. The subscriber counts, growth and topics are ours — Telegram shows the names and stops there.

Inbound

The reverse

5 channels in the index have @eBookRoom in their own recommendation list. That direction is not something Telegram publishes — see the channel page for the full list.

API

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=1476300433' \
  --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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