tgsonar.com

AI & Chatbots on Telegram

We check every object in the category by querying Telegram and rank on what we measured. The score is a position inside this category, not an absolute grade.

80bots in the category
79working
1failed to open
by scoreby mentionsA to Zworking onlysorting covers the whole category, 80 bots
The category holds 1 object that no longer exist on Telegram. We keep them: links to those names still travel through other people's lists.
no mentions found
no mentions found
no mentions found
no mentions found
21
KandinskyKandinsky by Sber AI
61score
377 мсresponse
no mentions found
no mentions found
no mentions found
27
NOVUM.AI AgentActivate your personal AI agent and earn daily!
80score
1.0Kmention reach
299 мсresponse
no mentions found
37
sotamailYou can contact @mailsotabot right away.
70score
321mention reach
390 мсresponse

Showing 1–40 of 80 · page 1 of 2

Inside the AI & Chatbots category

The category holds 80 bots, and 79 of them answer our check, while 1 объекта no longer opened a Telegram page on the last crawl. Every object is checked automatically, and the date of the last check is shown on its card.

Bots have no public user counter — only the owner knows that number. So we measure behaviour instead: whether the bot answers and how fast. Response time in this category stays between 299 and 1612 ms, with a median of 393 ms.

The second measurable value is mention reach: total views of posts in public channels that link to the bot. Mentions are harder to manage than a catalogue description, so they show more reliably whether a bot is in use. In this category such mentions were found for 38 bots.

The category is currently led by “Blum Trading Bot” with a score of 64. The score is a position inside this same category, not an absolute grade: comparing it with the score of an object from another category makes no sense, because the samples differ. The formula is public — anyone can recompute it.

If the bot you are after is missing, it may simply not have been crawled yet. The catalogue grows on its own: we pick up names from public mentions and open lists, check each one against Telegram and add the live ones. How to add or remove an object.