Photo, posted without a caption
Signed 枕上诗网络(1.zsswl.com)

Channel
@hehuajiwangluo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
22,222subscribers
+13,933 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002009197187 |
|---|---|
| Type | Channel |
| Username | @hehuajiwangluo |
| Description | 官网:1.zsswl.cn 全网最大的高端云商城之一,激活码商城,安卓苹果多开,抖音快手小红书截流软件,微信qq营销软件,自动发卡平台,客服:@hehuajiwl |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/hehuajiwangluo |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 53% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 13:36 | 22,222 | -140 |
| 1 Oct 2026, 13:59 | 22,362 | -698 |
| 18 Sept 2026, 08:16 | 23,060 | -282 |
| 16 Sept 2026, 02:40 | 23,342 | -164 |
| 14 Sept 2026, 12:38 | 23,506 | -196 |
| 12 Sept 2026, 20:01 | 23,702 | -396 |
| 10 Sept 2026, 23:19 | 24,098 | +18,249 |
| 6 Sept 2026, 07:41 | 5,849 | -1,681 |
| 1 Sept 2026, 17:43 | 7,530 | -475 |
| 29 Aug 2026, 20:44 | 8,005 | -35 |
| 27 Aug 2026, 04:13 | 8,040 | -33 |
| 24 Aug 2026, 04:12 | 8,073 | -22 |
| 20 Aug 2026, 13:54 | 8,095 | -37 |
| 17 Aug 2026, 14:34 | 8,132 | -51 |
| 14 Aug 2026, 03:47 | 8,183 | -53 |
| 10 Aug 2026, 19:16 | 8,236 | -49 |
| 8 Aug 2026, 02:46 | 8,285 | -4 |
| 7 Aug 2026, 14:16 | 8,289 | first reading |
57 posts held, back to 8 July 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 36 pages of 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. It is computed over the 4 of 25 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 October 2026 |
|---|---|
| Posts held | 57 (8 July 2026 – 5 October 2026) |
| Views total | 6,446 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 17:44 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.
Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 57 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 8 July 2026 to 5 October 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.
Photo, posted without a caption
Signed 枕上诗网络(1.zsswl.com)
Photo, posted without a caption
Signed 枕上诗网络(1.zsswl.com)
视频号截流
Signed 枕上诗网络(1.zsswl.com)
抖音多功能群控,电脑控制手机操作,最多可以控制五十台手机,不过多介绍
❤1
Signed 枕上诗网络(1.zsswl.com)
抖音私信必达,听说这玩意火?
Signed 枕上诗网络(1.zsswl.com)
官网:6.798jhm.com 全网最大的高端云商城之一,激活码商城,安卓苹果多开,抖音快手小红书截流软件,微信qq营销软件,自动发卡平台,客服:@hehuajiwl
Signed 🐴 神马搜索 🔍
#频道互推 #相似推荐 ------------------------------ 📢 全网福利资源 📢 北冥改文件主频道 📢 落叶公益内核 📢 安卓软件破解 资源分享 VPN 公益外挂辅助 📢 梵依公益玩机 模块分享/实用软件分享/root服务/VP 📢 P图 、作图软件、转账模拟器、p图软件、美工P图 📢 TG代理 免费代理 每日分享免费高速代理 📢 ROOT玩机资源库/Magisk/LSPosed模块分享 📢 ACX卡密验证分发官方 📢 DLK小红书抖音快手B站 全平台引流脚本 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 快斗美化 📢 🛜免费代理—高速代理 📢 旺财作图 街机 P图软件(官方代理) 📢 阿樂·破解软件资源分享【WhatsApp·LINE·赖· 📢 黑雪三角洲内核频道 📢 旺财作图 P图软件 网络钱包修改 📢 p图 旺财作图软件 专业包发财 📢 熊志分享公益破解主频道 📢 加密聊天软件定制 📢 安卓软件/app破解/VPN机场 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
Signed SOSO搜搜
私信通更新
Signed 枕上诗网络(1.zsswl.com)
抖音采集监控推送
Signed 枕上诗网络(1.zsswl.com)
#频道互推 #相似推荐 ------------------------------ 📢 全网福利资源 📢 落叶公益内核 📢 安卓软件破解 资源分享 VPN 公益外挂辅助 📢 梵依公益玩机 模块分享/实用软件分享/root服务/VP 📢 P图 、作图软件、转账模拟器、p图软件、美工P图 📢 TG代理 免费代理 每日分享免费高速代理 📢 ROOT玩机资源库/Magisk/LSPosed模块分享 📢 p图、旺财作图、p图软件、转账模拟器 📢 ACX卡密验证分发官方 📢 DLK小红书抖音快手B站 全平台引流脚本 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 全网福利资源 📢 落叶公益内核 📢 安卓软件破解 资源分享 VPN 公益外挂辅助 📢 梵依公益玩机 模块分享/实用软件分享/root服务/VP 📢 P图 、作图软件、转账模拟器、p图软件、美工P图 📢 TG代理 免费代理 每日分享免费高速代理 📢 ROOT玩机资源库/Magisk/LSPosed模块分享 📢 p图、旺财作图、p图软件、转账模拟器 📢 ACX卡密验证分发官方 📢 DLK小红书抖音快手B站 全平台引流脚本 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
Signed SOSO搜搜
Showing the 12 most recent of 57 posts we hold for @hehuajiwangluo. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“抖音截流软件” (@hehuajiwangluo), 22,222 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/hehuajiwangluo.
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.