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Channels like @datascienceml_jobs
What Telegram recommends beside Data Science Jobs, ranked by size and shown with the numbers Telegram leaves out.
Measured 2026-W36 · 2026-08-31 · public Telegram data
2026-W36
Recommended alongside
| Channel | Name | Subscribers | Growth | Topic |
|---|---|---|---|---|
| @ai_machinelearning_big_data | Machinelearning | 282,481 | — | Science |
| @data_secrets | Data Secrets | 93,025 | — | Science |
| @data_analysis_ml | Анализ данных (Data analysis) | 50,599 | — | Russian-language |
| @machinelearning_interview | Machine learning Interview | 30,265 | — | AI and machine learning |
| @dev_connectablejobs | Dev & ML Connectable Jobs | 27,461 | — | Startups and product |
| @datasciencejobs | Data Science Jobs | 21,909 | — | Startups and product |
| @datajob | Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту | 14,692 | — | AI and machine learning |
| @odsjobs | ODS #jobs | 13,904 | — | Startups and product |
| @not_boring_ds | Нескучный Data Science | 12,046 | — | AI and machine learning |
| @not_boring_ds_jobs | Нескучный Data Science Jobs | 9,060 | — | 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.
Inbound
The reverse
1 channels in the index have @datascienceml_jobs 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=1601022378' \
--header 'x-rapidapi-host: telegram155.p.rapidapi.com' \
--header 'x-rapidapi-key: YOUR_KEY'The recommendation graph for any public channel
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