@IncomeSea: statistics and cleanliness index
Income Sea๐ฐ
Income Sea is Free Crypto income community. You will find all early Airdrop Here. โ๏ธAdmin: @mdrobin19 #onlineincome #Airdrop #Mining #Income #Crypto #TON #incomesea @IncomeSea
data from 2026-10-13
- Subscribers
- 22,384
- Median views
- 1,003
- ERR
- 4.5%
- Posts sampled
- 40
Data from 2026-10-13 โ 25 days old.
Assessment summary
The channel publishes cryptocurrency giveaways, airdrop guides, and referral tasks in Bengali and English.
A post is seen by a small share of the audience: an ERR of 4.5% noticeably lags behind similar catalog channels, where the median is 7.3%, and nearly 800 people have unsubscribed over the past month. With an output of about seven posts per day, an ad quickly loses visibility, gathering an average of about a thousand views.
About the channel
The feed is dedicated to airdrops, testnets, and crypto micro-earnings. The channel has been active for two years, with publications appearing mostly as screenshots with short explanations in a mix of English and Bengali.
In terms of subscriber count, the channel is smaller than @cryptohot11s and @nawjidofficial. The share of the audience viewing posts here is noticeably lower than that of @cryptohot11s, but higher than that of the large @nawjidofficial.
What it publishes:
- Airdrop guides: step-by-step tutorials for completing tasks and claiming tokens.
- Payment proofs: screenshots of wallet balances and small withdrawal amounts.
- Referral tasks: links to bots and mobile apps to receive bonuses.
Most messages appear during the daytime (from 12 to 18 UTC) evenly on weekdays and weekends. In terms of audience size, the channel sits in the middle of the "Airdrops" niche. The feed is a frequent stream of short notes and screenshots with referral links.
By subscribers, it ranks #17 of 27 channels in the Airdrops niche of the catalog.
What to pay attention to
Comments are posted by a narrow circle of accounts (29 out of 109)
The share of unique authors among comments is low โ the discussion is maintained by a small group of accounts. This could also be an active core of readers.
What grade A means
Metrics look normal: no signals lowering the index were found, or they are weak.
Compared with similar channels
Compared with 10 Airdrops catalog channels whose metrics look normal. They are a similar size: 8,456 to 64,760 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from Oct 7 to Oct 13. The dashed line is the median (1,003).
- post views
- 5 posts newer than one day and still gaining views
- median 1,003
Maximum: 1,397 views. Data as of Oct 13.
What could not be calculated
View build-up not assessed: the channel posts often, and every post is newer than a week.
Cleanliness-index history
2 checks for this channel.
Advertising outlook
Advertising placement: questionable.
Only a small share of subscribers sees the posts.
About 812โ934 people will see your post in the first 48 hours.
Reach of advertising posts
Too few advertising posts to compare: 2.
Buy advertising
Telegram ads are sold on these marketplaces โ they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
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Questions about @IncomeSea
What is the channel's purity index and what does it mean?
The purity index is 84 out of 100 (grade A, "metrics are normal" level). This indicates that activity and view metrics are within normal ranges.
Why is the feasibility of placing ads marked as debatable?
The reason for the verdict is reach: posts are seen by a small share of subscribers. The median is about a thousand views per post with an audience of over 22 thousand people.
How often are new materials published on the channel?
On average, about seven posts are published per day. At this pace, posts are quickly displaced by new messages in the feed.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-13
- Sample
- The latest 40 public posts available at check time.
- Calculation method
- TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0โ100 cleanliness index.
- Factual result
- The @IncomeSea assessment dated 2026-10-13 uses 40 recent public posts. At that snapshot the channel had 22,384 subscribers, median post views were 1,003, ERR was 4.5%, and the cleanliness index was 84/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page โ t.me/obsessed_with_ai.