秘鲁、尼日利亚、厄瓜多尔、乌拉圭,巴拉圭,危地马拉今天还可加量

Channel
全球引流-林可出海NB
@linke001
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
6,083subscribers
-322 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003889608151 |
|---|---|
| Type | Channel |
| Username | @linke001 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/linke001 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 19:47 | 6,083 | -1,019 |
| 17 Aug 2026, 20:54 | 7,102 | -17 |
| 14 Aug 2026, 17:24 | 7,119 | -11 |
| 11 Aug 2026, 18:23 | 7,130 | -23 |
| 8 Aug 2026, 08:42 | 7,153 | +748 |
| 7 Aug 2026, 10:45 | 6,405 | first reading |
Engagement
27 posts held, back to 26 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 13 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 79.6%
- avg views ÷ 6,083 subscribers
- Avg views / post
- 4,840
- 27 posts measured
- Reaction rate
- 0.59%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 27 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. It is computed over the 9 of 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 27 (26 July 2026 – 20 August 2026) |
| Views total | 130,723 |
| Reactions total | 145 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 16:35 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
- 6s
- Average length
- 6s
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.
Reaction mix
145 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 40.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 59 | 40.7% | |
| ❤ | 43 | 29.7% | |
| 👍 | 42 | 29.0% | |
| 🔥 | 1 | 0.69% |
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 9 of the 27 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 145reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 26 July 2026 to 20 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.
Recent posts
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8571081779
欧美海外交流群-林可出海 @linkehaiwai888888 AI机器人-林可出海 @linke774911 海外号工作室 @hupan2 话术频道-林可出海 @linkehuashu8888888 全球引流-林可出海 @linke001 欧美素材-林可出海 @linke774921 商务联系琪琪: @lkchzt01
Kwai官媒过落地页稳定出量10000+,印尼,埃及,巴西 (可根据话术定制素材落地页)
Posted without readable text
墨西哥 FB常规居家办公兼职,TK官媒看视频,TK官媒收益图 出量 巴西TK官媒收益图, 巴西FB 虾皮图文过落地页 出量
早班中班🈶广告 印度0.9u 印尼1.5u 韩国10u 日本10u 非洲1.5u 尼泊尔1u 孟加拉1u 巴基期坦1u 泰国4u 越南5u 新加坡6u 马来西亚4u 埃及1.5u 以色列10u 菲律宾2u 期里兰卡2u 沙特3u 伊拉克3u 肯尼亚2u 尼日利亚2u 南非2u 阿联酋3u 土耳其4u 乌兹别克4u 西班牙昆跑1u 英文昆跑1u 欧洲昆跑28 -定制国家有浮动 英国10u 法国10u 意大利10u 德国12u 葡萄牙8u 西班牙9u 荷兰15u 波兰15u 比利时15u 南美洲昆跑2u定制国家有浮动 巴西1.8u 阿根廷2u 玻利维亚2u 智利3u 委奈瑞拉1.5u 哥伦比亚1.6u 秘鲁3u 厄瓜多尔3u 玻利维亚3u 北…
❤1
⚠️ BM风控扫描提醒 Meta近期加强资产安全检测,部分BM出现异常扫描情况。 📢 建议暂缓广告账户操作及投放,避免触发风控,减少不必要损失。
阿曼 伊拉克 阿联酋 约旦 孟加拉 叙利亚 津巴布韦 菲律宾 商城logo 刷单素材 英国 加拿大 德国 比利时 西班牙 葡萄牙 波兰 手工活素材/ 看视频赚钱素材 巴西 墨西哥 哥伦比亚 多米尼加 厄瓜多尔 洪都拉斯 智利 玻利维亚 危地马拉 收益图素材/ 常规居家办公素材/ 看视频赚钱素材 以上地区全部有广告 来单就射 8/12
隐藏身份🧑🍳
Nailed it 💗
多米尼加、墨西哥、巴拿马、玻利维亚、哥伦比亚、阿根廷、尼加拉瓜、洪都拉斯 还可接1000+
Showing the 12 most recent of 27 posts we hold for @linke001. 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.
Posts edited after publishing
@linke001 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 8 August 2026
Citation-graph rank
Citation-graph rank — 816,863 of 1,585,381entries 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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“全球引流-林可出海NB” (@linke001), 6,083 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/linke001.
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.