Channel: 3,290 subscribers, growing 1.1% a week, cited by 2 venues in 30 days.
Posts a channel publishes as itself are not part of the search index, so reach, ER and post charts may be missing here. Subscribers, growth and citations are counted for every channel. How we count →
3,290subscribers?+2 in a day · +35 in a week
Subscribers from the latest crawl of the venue. Growth is the difference with daily measurements collected since 29.09.2026. How we count →
no dataposts in 30 days?
Channel posts in the search index over the last 30 days. Posts published as the channel are not indexed — these are author-signed ones. How we count →
no dataaverage post reach?
Average views of a channel post in 30 days, counting posts for which Telegram shows views. How we count →
no dataER — reach to subscribers?
ER = average post reach ÷ subscribers × 100%. Channels with 100+ subscribers and at least 3 posts in 30 days. How we count →
2venues cited it in 30 days?5 all time
How many other venues forwarded its posts in 30 days; below — all time. Self-forwards are not counted. How we count →
223posts in the index?263 total in Telegram
The venue's posts in our index over its whole history; below — the number of the latest message in Telegram. How we count →
2021-11-03first post?
Date of the venue's earliest post in the index. How we count →
#1 052 713catalog rank?#33 638 in topic · #54 367 in language
Rank by the combined score: subscribers, activity, reach and citations. Below — rank in its topic and language. How we count →
Subscribers 3,290
history since 2026-09-29
2026-09-292026-10-07
Audience checkhow we check
Not enough data to checkToo few posts with views in 30 days to compare
Posts per day
max 1
2026-07-112026-10-08
Average post reach by day
max 10,268
2026-07-112026-10-08
When it posts (UTC, 90 days)
036912151821MoTuWeThFrSaSu
What it posts (90 days)
Most forwarded posts in 30 days
The channel's posts other venues forwarded most; the text comes from the forwarded copies.
Call for Research Assistants: A Project on Reasoning in LLMs
If you are familiar with LLMs, you are invited to join our research project as a research assistant. This project focuses on abductive reasoning in LLMs.
Thisforwarded by 2 venues · 2026-10-01 08:56 UTC🔘 Open Research Position: Machine Unlearning × Model Quantization
We are looking for motivated students to join a research project exploring the intersection of machine unlearning and neural network quantization.
🔍 Projeforwarded by 1 venue · 2026-09-15 13:09 UTC
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526members3,701messages in 30 d65writingcatalog data as of 07.10.2026 22:16 UTC · Updated: 2026-10-08 00:31 UTC · How we count →