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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 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
@data_analysis_mlАнализ данных (Data analysis)50,5990.00%Russian-language
@machinelearning_interviewMachine learning Interview30,298+0.11%AI and machine learning
@dev_connectablejobsDev & ML Connectable Jobs27,738+1.01%Startups and product
@datasciencejobsData Science Jobs22,065+0.71%Startups and product
@datajobData jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту14,793+0.69%AI and machine learning
@odsjobsODS #jobs14,041+0.99%Startups and product
@not_boring_dsНескучный Data Science12,048+0.02%AI and machine learning
@not_boring_ds_jobsНескучный Data Science Jobs9,120+0.66%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

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.

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

2,500 calls a month, no card. No bot token and no phone number.

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