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Channel

推特账号-谷歌邮箱-苹果id-飞机账号-全局排名-软件定制

@seoyinliucom

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

27subscribers

-986 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1001975634268
TypeChannel
Username@seoyinliucom
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 October 2026
Measurements held6
Confirmed unchanged3 times, most recently 22 October 2026
On Telegramt.me/seoyinliucom

Topic

Marketing & affiliate — 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 1 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

211,016518.58 August 2026 — 1,013 subscribers8 August 2026 — 1,013 subscribers17 August 2026 — 1,016 subscribers20 August 2026 — 21 subscribers11 September 2026 — 25 subscribers7 October 2026 — 27 subscribers278 August 20267 October 2026
6 measurements spanning 61 days, net -986. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Oct 2026, 21:3627+2
11 Sept 2026, 08:5525+4
20 Aug 2026, 18:0721-995
17 Aug 2026, 12:561,016+3
8 Aug 2026, 05:371,013no change
8 Aug 2026, 00:351,013first reading

Engagement

12 posts held, back to 24 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

6 Aug 2026, 10:09 UTC19 viewsread 8 August 2026
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2 Aug 2026, 07:48 UTC55 viewsread 8 August 2026

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1 Aug 2026, 06:44 UTC49 viewsread 8 August 2026
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🗂Telegram 直登号 (Tdata) 使用步骤详解 购买后,你将收到一个名为【国家名称+直登号+数量+2FA就是密码】. zip 的压缩包。请按照以下步骤操作以确保账号正常登录: 第一步:环境准备 新建文件夹:在电脑桌面创建一个新的文件夹 解压文件:将下载的压缩包放入该文件夹,右键点击并选择“解压到当前文件夹”。解压后,你会看到文件名为手机号码的账号文件夹,现在让我们随意点进去一个账号文件夹。 第二步:下载并放置程序 获取官方程序:前往 Telegram 官网 https://telegram.org/dl/desktop/win64_portable 下载适用于 Windows 的 Portable(便携版) https://telegram.org/dl/desktop/win64_portable 存放到位:将下载好的 Telegram.exe 复制,粘贴到包含 tdata 的文件夹内。 第三步:启动登录 确…

31 Jul 2026, 11:31 UTC39 viewsread 8 August 2026
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31 Jul 2026, 04:52 UTC35 viewsread 8 August 2026

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29 Jul 2026, 11:03 UTC55 viewsread 8 August 2026

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25 Jul 2026, 06:09 UTC99 viewsread 8 August 2026
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24 Jul 2026, 21:03 UTC107 viewsread 8 August 2026
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【 Telegram 可用 ID 检索服务 V1.3.0 升级上线 】 本次升级优化了短位 ID 检索顺序、任务管理、请求节奏和结果交付方式。 ✅ 支持指定种子、品牌词根定向扩展 ✅ 按 5 位 → 6 位 → 7 位 → 8 位递进检索 ✅ 纯英文 → 英文加数字 → 带下划线 ✅ 自动过滤占用、无效、保留及 NFT 付费用户名 ✅ 支持个人账号、频道及严格双场景核验 ✅ 每个任务独立整理,不混合不同批次 ✅ 可用结果支持 TXT 或发送至客户私密频道 ✅ Telegram 动态限流保护及任务断点保存 🔥 单次定向检索:20U / 次 一次服务包含: • 一个指定种子或一组明确检索要求 • 一个独立检索任务 • Telegram 接口实时可用性核验 • 该任务全部可用 ID 结果交付 本服务不出售软件。 无需提供账号、API、Session、验证码或密码。 不代注册、不抢注、不修改、不占用任何用户名。 结果仅代表…

24 Jul 2026, 19:16 UTC85 viewsread 8 August 2026
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Showing the 12 most recent of 12 posts we hold for @seoyinliucom. 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.

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 7 October 2026 — this entry's latest reading, not the date you are reading this.

“推特账号-谷歌邮箱-苹果id-飞机账号-全局排名-软件定制” (@seoyinliucom), 27 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/seoyinliucom.

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.