An audience on Telegram is visible wherever people do something in public: talk in chats, comment on posts, react. The lists you can build from those sources look similar and differ enormously in quality.
Members of a chat
The obvious source: an open group shows who is in it. Large, easy, and the weakest signal — joining a group says almost nothing about current interest, and part of the list is unreachable anyway (how many you can export).
People who talk
A much smaller slice and a much stronger one: writing means opening the app and caring enough to type — finding active users.
People who commented under a post
The warmest of the three, because the interest attaches to a specific subject rather than to a community — collecting commenters.
Choosing between them
By what you intend to do. For a broad campaign the member list is defensible. For anything that requires the message to land, the smaller lists win by enough to make the size difference irrelevant.
What to check before using any of them
- the chat is alive, not merely large — finding chats;
- duplicates between sources are removed — cleaning a database;
- the plan counts usable rows, not collected ones.
And the part people skip
Having the list does not mean writing to it. Presence in the same chat usually outperforms a message to its members, and it does not risk the account — marketing through chats.
How Neurogram does this
Everything above is manual work that runs into the number of hours in a day. Neurogram does it on your own accounts and without you: it collects channels and audiences, writes comments and replies with a language model, and keeps limits and quiet hours so the accounts survive. See pricing or look at your case.