Telegram RegisterThe public register of Telegram

Channel

💯全局排名💯关键词排名💯老频道/群组💯飞机粉丝

@xinda778

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,095subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002026326215
TypeChannel
Username@xinda778
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/xinda778

Topic

Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@xinda778/196 · this entry23 Feb 2026, 11:09 UTC@xinda887/6723 Feb 2026, 11:10 UTC1.0072 seconds
@xinda778/200 · this entry27 Feb 2026, 05:33 UTC@xinda887/7227 Feb 2026, 05:34 UTC1.00under a minute
@xinda887/732 Apr 2026, 10:14 UTC@xinda778/203 · this entry2 Apr 2026, 10:15 UTC1.0072 seconds
@xinda778/207 · this entry25 Apr 2026, 05:09 UTC@xinda887/8025 Apr 2026, 05:11 UTC1.0072 seconds
@xinda778/210 · this entry25 May 2026, 19:02 UTC@xinda887/8125 May 2026, 19:03 UTC1.0072 seconds
@xinda778/192 · this entry26 Jan 2026, 09:41 UTC@xindaeea/2626 Jan 2026, 11:58 UTC1.002.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinda8878 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (62)
@xindaeea8 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (62)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 28 December 2025 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @xinda778 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

1,0941,0951,094.57 August 2026 — 1,094 subscribers7 August 2026 — 1,094 subscribers10 August 2026 — 1,095 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net +1. 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 1,094–1,095 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 14:381,095+1
7 Aug 2026, 13:461,094no change
7 Aug 2026, 08:181,094first reading

Engagement

15 posts held, back to 28 December 2025the 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
54.6%
avg views ÷ 1,095 subscribers
Avg views / post
598
1 post measured
Reaction rate
73.7%
reactions ÷ views · ER floor
Posts in window
1
of 15 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 held15 (28 December 20255 August 2026)
Views total598
Reactions total441
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 08:18 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.

Reaction mix

1,262 reactions across 4 posts, in 11 distinct kinds. The most used accounts for 57.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎72657.5%
🔥907.13%
🎉897.05%
😁897.05%
👍866.81%
735.78%
🍌302.38%
💩221.74%
🤬211.66%
😈181.43%
🥱181.43%

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 6 of the 15 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 1,262reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 28 December 2025 to 5 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

5 Aug 2026, 08:48 UTC598 views441 reactionsread 7 August 2026

🔥 【新品首发】AI 炒群工具上线,让你的群 24 小时活起来 还在为群冷了没人说话发愁?AI 炒群工具正式上线,帮你解决群活跃难题。 核心功能: ✅ AI 自动发言互动,模拟真人语气 ✅ 多账号协同炒群,氛围拉满 ✅ 24/7 不间断运行,无需人工盯盘 ✅ 可定制话术库,贴合群调性 适用场景: 👉 新群冷启动,快速炒热气氛 👉 老群活跃度下滑,AI 持续带节奏 👉 项目方社群运营,低成本维持热度 👉 可用于@jisou @soso提升收录等级 加入我们,提升你的频道! 机器人定制开发: @xindaee 自助会员粉链接: https://xinda.ac/ 排名代做咨询: https://t.me/xinda8888 双向机器人🤖: @xindasxbot 唯一收款地址: TYjKN5zke7yUipE4zsiDkLRZNacxLMfx97

👎302🎉32🔥30😁3027👍20

24 Jun 2026, 16:19 UTC933 views473 reactionsread 7 August 2026
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— 让搜索更高效 · 让信息更有价值 — 🔍帮你找到有趣的群组、频道、视频、音乐、电影、新闻 📢: @CJYQNEWS | 🤖: @CJYQ 👇点击下方按钮,进行搜索👇

👎220🔥37👍33🍌30😁29🎉25💩22🤬21

17 Jun 2026, 18:25 UTC986 views347 reactionsread 7 August 2026
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✅ 刚刚完成的一个全局排名案例 前两天帮一位客户做了 “西港外送” 的全局搜索排名。 从沟通到上线,速度很快,客户反馈效果不错。 目前我还在继续帮客户做Telegram全局排名优化,专注于本地服务、外送、上门、棋牌、博彩、世界杯等精准关键词。 有需要的朋友可以私信我 “全局排名”, 告诉我你的关键词,我帮你评估一下当前情况和可行方案。 真实效果,真实案例,欢迎咨询。 #Telegram全局排名 #TG搜索优化 加入我们,提升你的频道! 机器人定制开发: @xindaee 自助会员粉链接: https://xinda.ac/ 排名代做咨询: https://t.me/xinda8888 双向机器人🤖: @xindasxbot 唯一收款地址: TYjKN5zke7yUipE4zsiDkLRZNacxLMfx97

👎204👍33🎉32😁3025🔥23

25 May 2026, 19:02 UTC750 viewsread 7 August 2026

🚀 重要提醒:Telegram最近几次大更新后,全局搜索排名彻底变难了!📉 很多老客户反馈: • 以前容易上全局,现在怎么发内容都冲不上去 😓 • 频道权重通过长时间维护也无法提高 • 新频道更是几乎看不到希望 好消息是:这个问题我已经彻底攻克了! 🎉 目前我掌握了一套2026年最新全局排名制作方式,可以稳定帮助频道冲上全局搜索前排,效果远比之前更稳。🚀 核心优势: • 完美适配最新算法 🧠 • 排名稳固,不容易掉 🛡️ • 成本相对于之前较低(性价比很高) 💸 • 支持批量接单,可同时帮多个频道操作 不管你是老频道冲排名,还是新频道想快速起量,我都能帮你有效解决。💪 想了解具体怎么做的? 私信我 “全局排名” 或 “最新排名”, 我免费帮你评估当前频道情况,并告诉你可行方案和报价。📝 已经帮不少客户验证过效果,位置有限,先到先得!⏳ #Telegram全局排名 #TG搜索优化 #2026算法 #频道引流 🔥 加入

25 Apr 2026, 22:54 UTC≈1,070 viewsread 7 August 2026
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— 让搜索更高效 · 让信息更有价值 — 🔍帮你找到有趣的群组、频道、视频、音乐、电影、新闻 📢: @CJYQNEWS | 🤖: @CJYQ 👇点击下方按钮,进行搜索👇

25 Apr 2026, 05:09 UTC884 viewsread 7 August 2026

✅ 常见问题统一回复 1. 关键词可以做几个? 按组算,一组最多做 3个关键词。 关键词太多容易不稳定,挂不住位置。 2. 多久能做上去? 最快 72小时内 交付(看到全局排名效果)。 3. 能不能先上后付? ❌ 新客户需先预付(支持任何验证方式,也支持担保交易) ✅ 先上后付仅限老客户特权。 4. 全局排名能保持多久? 我们会持续维护,只要在维护期内,就一直保持全局可见。 次月起需补交维护费用(不同关键词维护费略有差异)。 有其他问题随时私信我。 想做全局霸屏的,直接私信告诉我你的关键词,我先帮你评估可行性。 私信我 “全局霸屏” #Telegram全局排名 #全局排名 #精准引流 #霸屏案例 #TG搜索优化 #批量账号管理 #防封号 加入我们,提升你的频道! 机器人定制开发: @xindaee 自助会员粉链接: https://xinda.ac/ 排名代做咨询: https://t.me/xinda

9 Apr 2026, 12:02 UTC686 viewsread 7 August 2026
Forwarded from @xindaeeaPhoto

🚀 又一个➕1美区全局霸屏拿下!🔥 关键词: 新加坡外围 新加坡上门 新加坡学生 直接在Telegram搜索这三个词,前排几乎全被包圆了! 实力说话,效果看得见! 想做类似霸屏? 私信我 “全局霸屏” #Telegram全局排名 #新加坡霸屏 #全局排名 #精准引流 #霸屏案例 #TG搜索优化 #深圳上门 #批量账号管理 #防封号 加入我们,提升你的频道! 机器人定制开发: @xindaee 自助会员粉链接: https://xinda.ac/ 排名代做咨询: https://t.me/xinda8888 双向机器人🤖: @xindasxbot 唯一收款地址: TYjKN5zke7yUipE4zsiDkLRZNacxLMfx97

2 Apr 2026, 10:15 UTC655 viewsread 7 August 2026
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🚀 重磅!“深圳上门”关键词 中国区Telegram全局搜索我帮客户做到了霸屏! 🔥 兄弟们,搜一下就知道实力: 🇨🇳+86的Telegram搜索栏输入 深圳上门 结果怎么样? 前几页几乎全被我们包圆了!✅ 这就是我最近刚帮客户拿下的中国区全局排名霸屏案例。 不管你是做本地服务、资源频道,还是想通过精准关键词长期被动引流,这套全局搜索优化都能给你带来持续的精准流量。 以前很多人搜“深圳上门”找不到靠谱的,现在直接就能刷到我们优化的结果——这就是全局排名的威力! 想知道怎么做到的? • 用了哪些关键词布局技巧? • 如何避开算法坑稳定霸住位置? • 你的频道适合冲哪些高搜索词? 私信我 “深圳霸屏” 或 “全局排名”,我可以: 1. 免费帮你诊断当前频道的搜索排名情况 2. 给你针对性优化建议 3. 聊聊定制霸屏方案(像这个“深圳上门”一样) 实力说话,效果看得见! 有需要的赶紧私聊,名额和位置都是有限的~ #Te

24 Mar 2026, 14:55 UTC632 viewsread 7 August 2026

🚨非常不错的一个看片机器人推荐🚨 🔥永久域名:👉 @kanpianyzhan_bot 👈 🔥 高质量内容智能推荐 🎯 精选资源自动推送 🚀 每日更新 · 不踩雷合集

27 Feb 2026, 05:33 UTC684 views0 reactionsread 7 August 2026
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你们养 Telegram 号,是不是天天被封?想不想有个防封神器? 老板们,2026年 Telegram 封号越来越狠——养号、发消息、拉人,一不小心就凉。 我准备搞一套“智能防封养号机”: • 一键批量导入多个账号 • 自动模拟真人(发消息、刷频道、随机间隔) • 住宅IP轮换 + 指纹伪装 + 实时预警 • 不漏隐私、不用手动写脚本 现在不收费,先测水温——你们到底需不需要? 有需要的老板们私信我,提前私信我的东西开发出来免费给你用 也可以提供一些功能与建议 另外祝各位老板们开工大吉!马年大发! 加入我们,提升你的频道! 机器人定制开发: @xindaee 自助会员粉链接: https://xinda.ac/ 排名代做咨询: https://t.me/xinda8888 双向机器人🤖: @xindasxbot 唯一收款地址: TYjKN5zke7yUipE4zsiDkLRZNacxLMfx97

23 Feb 2026, 11:09 UTC525 viewsread 7 August 2026
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【首发】全网最稳的 TG 机器人批量管理系统 —— 现已开启公测! 你的时间不该浪费在重复操作上! 如果你每天要维护几十个、甚至上百个机器人,你一定懂这种痛苦: 1.换个项目,名字要一个一个改; 2.更新个公告,Desc 复制粘贴到手软; 3.资料对不上,还得去 BotFather 一个个查。 信达团队自研的 Bot Manager v1.0 正式上线,专为拥有大量机器人的项目方/工作室打造。 ✅ 核心功能: 1.批量修改:一键修改成百上千个机器人的 Name、Description 和 About 资料。 2.数据安全:所有 Token 加密存储,HTTPS 安全传输,隐私高于一切。 3.同步刷新:实时同步 TG 官方数据,管理不再有信息差。 4.一键导出:机器人列表 CSV 备份,资产尽在掌握。 🎁 限时福利: 目前系统处于 v1.0 内部公测阶段,所有功能完全免费! 欢迎各路大佬注册体验,名额有限,先到先得。

26 Jan 2026, 09:41 UTC671 views1 reactionsread 7 August 2026
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很多老板最近是不是遇到这个鬼情况? 电脑挂10几个、20几个号,结果用不了几天就大面积掉线、收不到消息,甚至直接封号…… 我自己也踩过无数次坑: 频繁切换 → 风控秒触发 共享一个IP/设备指纹重复 → 账号关联被批量干掉 官方隐形限制同一设备在线数量 → 超了自动掉 结果就是:号养着养着就废了,业务直接瘫痪。 好消息是:这个问题我已经彻底解决了! 现在我的电脑桌面稳定同时在线20个TG账号,零掉线、零封禁,已经跑了一年多,一切正常。 视频里你能清楚看到: 20个账号同时在线 每个号都能正常接收新消息、发消息 没有一个强制退出或提示异常 想知道我具体是怎么做到的?(环境配置 + 防关联技巧 + 稳定代理策略) 私信我“多开”或“20号”,我给你诊断一下你现在的环境,顺便告诉你最关键的几步避坑方法~ (名额有限,先到先得) #Telegram多开 #防封号 #批量账号管理 自助会员粉链接: https://xind

1

Showing the 12 most recent of 15 posts we hold for @xinda778. 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 — 906,627 of 1,151,006entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

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

“💯全局排名💯关键词排名💯老频道/群组💯飞机粉丝” (@xinda778), 1,095 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/xinda778.

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.