Comparison
@js_official_community vs πΊπππππ πππ π πππ πππππΉ
A side-by-side look at two public Telegram channels β audience size, reach, engagement, growth and an audience-quality estimate, all from public data.
@js_official_community@js_official_communityπΊπππππ πππ π
πππ πππππΉ@fifakingfreetips
| Metric | @js_official_community | @fifakingfreetips |
|---|---|---|
| Subscribers | 30,632 | 23,465 |
| Avg views | 2,450 | 2,927 |
| Engagement rate | 8.0% | 12.5% |
| 30-day growth | β | β |
| Language | β | বাΰ¦ΰ¦²ΰ¦Ύ |
| Category | β | β |
| Channel age | β | 692 days |
Audience quality
An estimate from public metrics β we have no admin access to Telegramβs native analytics, so treat this as a signal, not a verdict.
@js_official_community
Looks reliable
- Reach and engagement sit in a normal range for this size
@fifakingfreetips
Looks reliable
- Reach and engagement sit in a normal range for this size
We compare only what we observe from the public surface. Engagement rate is approximate (average views per subscriber) and audience quality is an estimate, not a verdict β see the methodology.