Channel
@cvvhm1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
137subscribers
+34 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003907929261 |
|---|---|
| Type | Channel |
| Username | @cvvhm1 |
| Created | Between 1 April 2026 and 30 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/cvvhm1 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 23:55 | 137 | +19 |
| 17 Aug 2026, 12:19 | 118 | +13 |
| 9 Aug 2026, 09:01 | 105 | no change |
| 9 Aug 2026, 02:53 | 105 | +2 |
| 8 Aug 2026, 03:49 | 103 | first reading |
16 posts held, back to 30 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 16 (30 April 2026 – 7 August 2026) |
| Views total | 50 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 09:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| ❤ | 1 | 33.3% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 16 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 April 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
来自客户的真实认可 | Real Customer Feedback ❤️ 客户的满意，是我们最大的动力。 Customer satisfaction is our greatest motivation. 用实力赢得信任，用品质收获长期合作。 Quality builds trust, and trust creates long-term partnerships. ✨
👍1
效果ok 感谢老板的反馈
日常反馈√
❤1
感谢您的反馈！很高兴了解到目前整体使用体验良好。我们也会持续优化产品和服务，后续如果您有任何建议或需求，欢迎随时与我们沟通。 Thank you for your feedback! We're delighted to hear that your overall experience has been positive so far. We'll continue to improve our product and services, and if you have any suggestions or requirements, please feel free to reach out anytime.
客户一致反馈：品质优良，稳定可靠，存活率高，表现远超预期。 Customers consistently report excellent quality, reliable stability, high survival rate, and performance that exceeds expectations.
在线秒发 工作时间调整以后正常上班时间 7：00~24：00 大单电话轰炸
👍1
Why We Don't Sell "Live-Tested" Accounts Many customers ask us: "Why don't you provide live-tested or guaranteed-live accounts?" Here's a clear explanation. Most account batches that require live testing usually fall into one or more of these categories: The source has changed hands multiple times. The inventory has been stored for a long period. The overall survival rate has declined due to repeated reselling. Selle…
关于“为什么不做包活、测活”的说明 最近很多朋友都会问我一句话： “老板，为什么你们不做包活、测活？” 这里统一说明一下。 市面上大部分需要测活、包活的库，通常存在以下几种情况： 来源复杂，不清楚经过了几次转手； 库存存放时间较长，整体活跃度下降； 多次流转后的低质量库存，需要通过测活来筛选可用数据。 这类资源最大的优势只有一个——成本低。对于只做注册类业务可能够用，但对于更注重质量和稳定性的场景，价值并不高。 我们的定位不同，我们更注重质量，而不是最低价格。 我们的优势 🔎 包小库 = 近期资源 我们采用抽样检测的方式，对每批资源进行质量检查，在源头进一步降低风控，因此无需再额外测活。 相比大量长期库存，小批量资源具备几个明显优势： 周转速度快，不会长期积压； 售完后持续补充新货，保证资源的新鲜度； 整体质量更稳定，存活率更高； 减少重复流转带来的风险。 关于价格 很多人觉得为什么我们的价格比普通随机库高一些。 原因其实很简单…
老客户直接复购400件，大批量囤货 好产品自带口碑，不辜负每一份选择 现货充足，欢迎各位老板批量拿货 A returning customer directly repurchased 400 pieces, stocking up in bulk. Good products earn their reputation; we won't let any customer down. In stock; bulk orders are welcome.
什么叫回头客，货还没给发，直接继续
预存4000u
好的产品不需要废话 Good products don't need nonsense.
Showing the 12 most recent of 16 posts we hold for @cvvhm1. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 360,722 of 1,620,455entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 August 2026 — this entry's latest reading, not the date you are reading this.
“🐸” (@cvvhm1), 137 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/cvvhm1.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.