LIVE INDEX·21,569 channels
20:20 UTC
Rank#4283 in indexNo safety flags

Афиша бесплатных событий Москвы

Join Channel →t.me/mosafishka
Composite score
26.8/100

Cohort-normalised vs 0 channels.

Subscribers
123.8K
7d growth
-2
30d growth
-22
Last post
Tracked since
Jul 2026
Our read

What is Афиша бесплатных событий Москвы?

Афиша бесплатных событий Москвы is a Telegram channel. The channel has 123.8K subscribers.

Score inputs · v3.2 · 5 componentsMETHODOLOGY →

What goes into the 26.8

×2.0Size
123.8K subs
×1.0Activity
×1.5Growth
-2 (7d)
×0.5Trust
Clear
×1.0Category fit
bars show each component's weight; values are this channel's inputsweighted, then scored out of 100
Activity · last 30 days

Channel activity.

Activity data not yet enriched. MTProto sync runs every ~20 min.

Subscriber growth · 9 days tracked

Subscriber growth · all time

Subscribers now
123.8K
7-day change
-2
-0.0%
30-day change
-22
-0.0%
Period peak
123.8K
20 Jul 2026
Days tracked
9
since 17 Jul 2026
Trend
→ Flat
over the period: -0.0%source: channel_history · daily

Frequently asked questions.

What is Афиша бесплатных событий Москвы?

Афиша бесплатных событий Москвы is a Telegram channel. The channel has 123.8K subscribers.

How many subscribers does Афиша бесплатных событий Москвы have?

Афиша бесплатных событий Москвы has 123.8K subscribers. It has lost 22 subscribers in the last 30 days.

Is Афиша бесплатных событий Москвы legit?

Афиша бесплатных событий Москвы carries no safety flags in our index, though it is not verified by Telegram. Treat unsolicited financial advice with caution.

How do I join Афиша бесплатных событий Москвы?

Open t.me/mosafishka in the Telegram app, or use the Join Channel button on this page. Telegram Rankings is an independent index and is not affiliated with Афиша бесплатных событий Москвы.

Data provenance
Last synced
2h ago
Methodology
v3.2
Sync cadence
~20 min
Days tracked
9

Sources: Telegram MTProto (channel metadata, posts) · channel_history (daily subscriber snapshots). Composite score recomputed each sync against the index cohort.