@aheadshop0: statistics and cleanliness index
HeadShop
📍 Город: Алматы 🌍 Доставка по всему СНГ 💸 Работаем по полной предоплате ❌ Возврата и обмена нет 🛍️ Каталог вещей: https://t.me/AHeadShop0Bot 💬 Отзывы: https://t.me/aheadshopProof 👨💻 Администратор: @pore43 @IawIes
data from 2026-10-18
- Subscribers
- 2,337
- Median views
- 1,154
- ERR
- 49.4%
- Posts sampled
- 40
Data from 2026-10-18 — 19 days old.
Assessment summary
Resale of vintage clothing from Almaty: leather biker jackets, Levi's jeans, boots — each lot as a separate card with condition, size, price in tenge and status #instock or #sold.
Over the month, followers grew by two-thirds, and median views almost tripled, and a larger share of the base sees a post than in half of similar catalog channels (49.4% vs 37%). At the same time, reactions are barely collected: 0.23% of views vs 1.32% for similar channels, lower than for all channels in the group. There are no ads or reposts in the feed, so how the audience responds to third-party placement cannot be seen from this sample.
About the channel
HeadShop is a vintage clothing resale channel from Almaty: leather biker jackets, Levi's jeans, leather boots. Lots are separate cards with photos, condition, size, and price in tenge; sold items are marked with the hashtag #sold. The channel is seven months old, all posts are in Russian.
Nearby in the catalog are other resale channels: @otbivnoy_1 and @threadarchive. At @otbivnoy_1, a larger share of followers sees a post — 77.8% vs 49.4%, while @threadarchive is close both in size and share (3153 followers, ERR 50.3%). @cosm_brannd is larger, but the share of readers there is only 8.7%.
What it publishes:
- Leather jackets: Gipsy and Redskins bikers with brand, size, and condition assessment.
- Vintage jeans: Levi's 512 and 506, Diesel — with model, size, and fade description.
- Service: announcement of a catalog bot with filters by jackets, jeans, and footwear.
Posts come out 2-3 times a day, more often during the day and on weekends; there are no forwards or third-party ads in the feed. By followers, the channel is in the middle of the “Fashion” niche. Short product cards with price and contact — they are worth reading for specific items, not selections.
By subscribers, it ranks #17 of 26 channels in the Fashion niche of the catalog.
What grade A+ means
The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.
Compared with similar channels
Compared with 7 Fashion catalog channels whose metrics look normal. They are a similar size: 945 to 6,971 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 4 to Oct 18. The dashed line is the median (1,154).
- post views
- 10 posts newer than one day and still gaining views
- median 1,154
Maximum: 1,620 views. Data as of Oct 18.
No deviations in views. Views are only part of the metrics, so look at the whole index.
Cleanliness-index history
2 checks for this channel.
Advertising outlook
Advertising placement: reasonable.
About 608–1,216 people will see your post in the first 48 hours.
Reach of advertising posts
No advertising posts among the latest 40.
Buy advertising
Telegram ads are sold on these marketplaces — 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 @aheadshop0
Does @aheadshop0 have follower inflation?
The channel purity index is 94 out of 100, grade A+, level “metrics are normal.” The check found no signals that would lower the index.
What is the reach of posts?
The median is about 1150 views with 2337 followers, meaning a post is seen by roughly half the base (ERR 49.4%). This is above the median of similar catalog channels — 37%.
Can ads be placed here?
Placement is marked as justified. There were no ad posts in the checked sample, so it is impossible to judge from this data how readers react to third-party ads.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-18
- 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 0–100 cleanliness index.
- Factual result
- The @aheadshop0 assessment dated 2026-10-18 uses 40 recent public posts. At that snapshot the channel had 2,337 subscribers, median post views were 1,154, ERR was 49.4%, and the cleanliness index was 94/100.
- 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 — t.me/obsessed_with_ai.