Telegram RegisterThe public register of Telegram
Telegram profile photo for @huoke0505(唯一ID)ins协议群发/强制私信/TK获客/FB全自动/推特协议+强制私信+点赞关注发帖/交友/商城/股票/巴西游戏 @huoke007@insxieyi@wolong4

Channel

@huoke0505(唯一ID)ins协议群发/强制私信/TK获客/FB全自动/推特协议+强制私信+点赞关注发帖/交友/商城/股票/巴西游戏 @huoke007@insxieyi@wolong4

@huoket

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

512subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002528412888
TypeChannel
Username@huoket
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/huoket

Growth

509514511.57 August 2026 — 509 subscribers8 August 2026 — 509 subscribers15 August 2026 — 514 subscribers22 August 2026 — 512 subscribers5127 August 202622 August 2026
4 measurements spanning 15 days, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 508–515 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 03:55512-2
15 Aug 2026, 20:09514+5
8 Aug 2026, 04:15509no change
7 Aug 2026, 10:18509first reading

Engagement

9 posts held, back to 28 July 2026the 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 · 30 days
16.9%
avg views ÷ 512 subscribers
Avg views / post
86.3
9 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
9
of 9 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held9 (28 July 20265 August 2026)
Views total777
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:15 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.

What this channel posts

Video runtime
30s
Average length
30s

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.

Recent posts

5 Aug 2026, 10:07 UTC46 viewsread 8 August 2026
Photo

感谢老客户引荐,跨境电商行业老板专程到访公司实地考察海外获客软件🥳🥳 实地看过系统运作模式、账号矩阵运营方案、自动化拓客全流程之后,充分认可产品价值,回去梳理规划后直接敲定合作一套👍👍

5 Aug 2026, 10:07 UTC46 viewsread 8 August 2026
Photo

深圳做电子烟的老板,早上咨询,下午直接安排,办事效率杠杠的👍👍

5 Aug 2026, 10:07 UTC39 viewsread 8 August 2026
Photo

在河北做五金批发的王总,详细了解过我们系统后,确认好套餐直接打款✨✨

5 Aug 2026, 10:07 UTC38 viewsread 8 August 2026
Photo

🙏客户成交|国际物流老板采购 FB 矩阵群发系统 社媒拓客,帮货代挖掘更多精准客源,欢迎咨询了解~🥳

3 Aug 2026, 06:54 UTC64 viewsread 8 August 2026
Photo

🌐Tiktok哪家强? 采用最新协议技术,突破平台限制,隐私粉丝也能采集,还能发超链,发图片,发视频,发卡片👍

31 Jul 2026, 07:16 UTC255 viewsread 8 August 2026
Photo

🌐Facebook获客系统,功能强大,自用自销, 一键操作控制几百上千个账号发布广告, 上午两个小时不到,就有10来个询盘👍 还在愁流量的老板赶紧用起来哦!

29 Jul 2026, 07:40 UTC110 viewsread 8 August 2026
Photo

做多肽冻干的客户,从5月开始了解我们软件,昨天远程了解具体功能,没问题直接趁月底活动安排了🎲🎲 感谢老板支持,生意兴隆,财源广进🤩🤩

29 Jul 2026, 06:26 UTC95 viewsread 8 August 2026
Photo

21年的老客户了,​之前了解过很多系统,时隔五年发现我们还在👍 ​早用早发财呀老板们,月底有活动喔🥳 ​你给我订单,我给你福利🥰

28 Jul 2026, 03:04 UTC84 viewsread 8 August 2026
Video

😀还在发愁海外客户难找、发开发信石沉大海? 👍多平台批量引流,精准客流全部沉淀到 WhatsApp ❤️私域持续盘活,询盘转化率稳步上涨 TG:@huoke0505 Vx:ckk095525

Showing the 9 most recent of 9 posts we hold for @huoket. 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

Citation-graph rank — 293,054 of 1,585,237entries 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — 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.

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.

Cite this entry

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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“@huoke0505(唯一ID)ins协议群发/强制私信/TK获客/FB全自动/推特协议+强制私信+点赞关注发帖/交友/商城/股票/巴西游戏 @huoke007@insxieyi@wolong4” (@huoket), 512 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/huoket.

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.