LIVE INDEX·33,994 channels
19:22 UTC
Rank#18926 in indexNo safety flags
علوم الجامعات السورية💚💚💚 Telegram channel profile photo

علوم الجامعات السورية💚💚💚

Join Channel →t.me/SYRIANUNIVE
Composite score
21.5/100

Cohort-normalised vs 0 channels.

Subscribers
4.9K
7d growth
-20
30d growth
-27
Last post
—
Tracked since
Sep 2026
Our read

What is علوم الجامعات السورية💚💚💚?

علوم الجامعات السورية💚💚💚 is a Telegram channel. The channel has 4.9K subscribers.

Score inputs · v3.2 · 5 componentsMETHODOLOGY →

What goes into the 21.5

×2.0Size
4.9K subs
×1.0Activity
—
×1.5Growth
-20 (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 · 21 days tracked

Subscriber growth · last 90 days

Subscribers now
4.9K
7-day change
-20
-0.4%
30-day change
-27
-0.5%
Period peak
4.9K
04 Oct 2026
Days tracked
21
since 24 Sept 2026
Trend
→ Flat
over the period: -0.5%source: channel_history · daily

Frequently asked questions.

What is علوم الجامعات السورية💚💚💚?▾

علوم الجامعات السورية💚💚💚 is a Telegram channel. The channel has 4.9K subscribers.

How many subscribers does علوم الجامعات السورية💚💚💚 have?▾

علوم الجامعات السورية💚💚💚 has 4.9K subscribers. It has lost 27 subscribers in the last 30 days.

Is علوم الجامعات السورية💚💚💚 legit?▾

علوم الجامعات السورية💚💚💚 carries no safety flags in our index, though it is not verified by Telegram. Treat unsolicited financial advice with caution.

How do I join علوم الجامعات السورية💚💚💚?▾

Open t.me/SYRIANUNIVE in the Telegram app, or use the Join Channel button on this page. Telegram Rankings is an independent index and is not affiliated with علوم الجامعات السورية💚💚💚.

Data provenance
Last synced
10 days ago
Methodology
v3.2
Sync cadence
~20 min
Days tracked
21

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