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Channel

物现海外数据源头🛩

@wuxian888

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

161subscribers

-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-1002379089625
TypeChannel
Username@wuxian888
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/wuxian888

Growth

161164162.57 August 2026 — 164 subscribers8 August 2026 — 164 subscribers14 August 2026 — 161 subscribers7 August 202614 August 2026
3 measurements spanning 7 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 161–164 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:37161-3
8 Aug 2026, 16:30164no change
7 Aug 2026, 18:19164first reading

Engagement

14 posts held, back to 8 November 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 21 November 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 14 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 8 November 2025 to 21 November 2025, 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

21 Nov 2025, 02:46 UTC238 viewsread 8 August 2026
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🇹🇭🔥#泰国 Haamor健康医疗网站用户数据 🇹🇭 精准覆盖 8.1万+名医疗健康用户 🎯核心数据优势: 👍含高活跃度会员(上次登录时间) 👍实名认证信息(姓名+邮箱) 👍员工与超级用户标识 👍 注册时间与激活状态筛选 🚀高效应用场景: • 医疗产品精准推广• 保险/体检客群挖掘• 健康APP拉新转化

21 Nov 2025, 02:46 UTC320 viewsread 8 August 2026
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🇺🇸#美国 外汇用户核心数据包🇺🇸 🆕抓住高价值投资人群,从精准数据开始 ⌛ 数据总量:4W+ 条真实外汇用户记录 数据覆盖: 名字、姓氏、城市、详细地址、邮箱、手机号。 💎 数据亮点与核心优势: 📍 高价值投资人群 📍 联系方式完整 📍 支持智能筛选 📍 适配多行业 ⏸ 精准获客,从真实可触达的用户开始。

21 Nov 2025, 02:46 UTC387 viewsread 8 August 2026
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🇹🇭【TNT| #泰国 医疗机构信息表】🇹🇭 📤数据容量包含:1,300+ 🏥核心字段: ✍️唯一标识符 |类型/名称 ✍️手机号(含补充号码)|床位数 ✍️官网|地址|省份|经纬度 🌎 应用场景: • 医疗设备/耗材精准营销 • 药品推广 • 国际合作对接 💎小体量,高价值!

21 Nov 2025, 02:46 UTC540 views1 reactionsread 8 August 2026
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🔥🇮🇳【核心资源】 #印度 公民信息数据表!🇮🇳 🪙覆盖 18.1万 条容量 🎯数据价值: 💰姓名 | 父亲姓名 |手机号 💰护照号码 | 身份证号码|年龄 💰性别|详细地址(城镇/州)|邮政编码 🧩应用场景: • 跨境金融/信贷身份核验 • 高端地产/汽车精准直销 • 高通过率签证服务推广

1

21 Nov 2025, 02:46 UTC154 viewsread 8 August 2026
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💎 TraxNYC #美国 珠宝商城|客户订单数据包上线! 💎 覆盖 12W+ 条真实电商订单,轻松支持数据分析、营销投放与用户画像构建。 🎆数据内容包含🎆 🗓 订单ID|订单时间|订单状态 ✉️ 名|姓|邮箱|手机号 🏠 州/省|国家|配送地址 💵 小计|运费|税费|总计| 商品信息 ⭐️ 数据优势⭐️ ✨ 大容量 12W+ 条,覆盖广、质量高 ✨ 结构清晰,可直接对接CRM/广告系统 ✨ 支持分条件筛选:地区、金额、状态等 ✨ 自动去重处理,更干净的数据源 👑 适用于👑 精准营销|复购分析|高价值客户挖掘|珠宝行业洞察

21 Nov 2025, 02:46 UTC142 viewsread 8 August 2026
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🇰🇷 #韩国 Top Plus 在线学习平台|用户信息数据集来袭!🇰🇷 🔥数据字段包含🔥 用户名、 部门、手机号、邮箱、邮政编码、 地址、详细地址 🔖数据亮点🔖 🌟1.3W+ 用户规模,覆盖广泛 🌟字段规范完整,易对接CRM/广告系统 🌟自动去重处理,数据更干净可用 🎉适用场景: 教育行业分析|精准投放|学员画像|数据建模

21 Nov 2025, 02:46 UTC143 viewsread 8 August 2026
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【🔥稀缺首发】🇦🇺 #澳大利亚 Oxfam乐施会高净值数据库 🇦🇺 Oxfam乐施会,国际顶尖慈善机构(地位与影响力堪比中国红十字会/中华慈善总会),其Trailwalker毅行者是全球知名的精英慈善徒步活动,参与者多为高收入、高社会责任感的精英人士与企业家。 ↗️ 数据容量:183万+条用户档案 📍核心字段全包括: ✍️全方位联系方式(手机/邮箱/家庭电话) ✍️完整身份信息(姓名、出生日期、称呼) ✍️详细邮寄地址(街道、城市、州、邮编) ✍️深度参与标签(Trailwalker等级、VIP身份、志愿者) ✍️精准分类标识(捐赠者ID、账户ID、首选联系方式) 📤 黄金应用场景: • 高端保险/理财/地产精准拓客 • 奢侈品/高端旅游品牌定向营销 • 跨境公益活动与会员拓展

21 Nov 2025, 02:46 UTC146 viewsread 8 August 2026
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🇺🇸 #美国 APUS Military University|学生信息数据库 🔔 数据容量:4W+ 条高质量学生记录 📈 数据字段覆盖广泛: • 学号• 姓名• 邮箱• 手机号• 所在州• 学校名称• 专业方向• 学位类型• 当前绩点(GPA)• 学业状态• 录取状态• 兴趣爱好• 兵役状态• 军种类别 🪙 数据优势亮点: 🏅 结构清晰 —— 字段规范,易于系统对接 🏅 信息覆盖精准 —— 涵盖教育背景 + 军事属性,行业稀缺度高 🏅 高价值人群 —— 专业性强、画像明确、可用于多场景分析 🏅 支持智能筛选 —— 可按州、专业、学位、状态等多维度自由过滤 🏅 兼容多平台导入 —— CRM、营销系统、大数据引擎均可无缝对接

21 Nov 2025, 02:46 UTC170 viewsread 8 August 2026
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🇹🇭 #泰国 🇹🇭Facebook真实用户数据库|你的东南亚投放秘密武器! 想精准切入泰国市场?这套数据就是为高转化广告而生的。 覆盖 1.7W+ 条真实 FB 用户记录,信息完整、结构清晰,极适用于营销推广、用户洞察与广告定向。 🎯包含字段🎯 唯一标识符、用户ID、Facebook ID、访问令牌、用户名、名字、姓氏、性别、出生日期、邮箱、最后访问时间 💱 核心优势亮点💱 🔑 真实性更高:含活跃时间,可判断用户是否仍在使用FB 🔑 字段完整度强:全量信息助你快速建模用户画像 🔑 支持多维度筛选:年龄、性别、活跃度、邮箱可用性等自由过滤 🔑 高效对接系统:兼容广告系统、CRM、DMP,一键导入即可使用 适配所有泰国市场场景:电商、信息流、社交引流全覆盖 📈让你的投放更精准、成本更低、效果更可控。

21 Nov 2025, 02:46 UTC206 viewsread 8 August 2026
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🇺🇸【🔥精准出击】 #美国 Cointracker交易所用户数据首发!🇺🇸 📊容量:155万+条加密货币活跃投资者数据 🎯Cointracker:美国主流加密资产管理与税务平台,用户均为持有及交易数字资产的高净值人群。 📍核心字段全包括: 💻邮箱|姓名(名字/姓氏) 💻创建时间|更新时间 💻联系人ID|推荐码 🚀黄金应用场景: 🪙交易所/DeFi项目拉新获客 🪙加密货币硬件钱包营销 🪙高端金融理财精准触达

21 Nov 2025, 02:46 UTC685 viewsread 8 August 2026
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🪙🇦🇺 #澳大利亚 公司物流信息来了!🪙 覆盖 13W+ 条高质量物流信息记录,结构完善、字段全面,可直接应用于跨境电商、物流服务商、地图建模、地址清洗、CRM补全等多个专业场景。 💎 数据包括 编号ID、客户ID、名称、公司名称、地址1、地址2、街区、省、邮政编码、手机号、创建时间、更新时间、提货日期、提货最早时间、提货最晚时间、邮箱、运单号、名字、姓氏、保险金额、商业地址 🏅 覆盖面广| 字段完整度高 🏅 强大兼容性|精准筛选 🏅 高可信度|无重复数据 🪙 企业拓客、物流广告、跨境分析、供应链建模—— 一份数据即可搞定多个环节,让效率和转化率同步提升!

13 Nov 2025, 07:32 UTC243 viewsread 8 August 2026
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【🔥爆款数据推荐】#巴西 Rappi用户金融数据库全量发售🇧🇷 📊 数据库核心信息: ✨数据容量9.3万+条档案 ✨堪比美团的本土生活巨头Rappi用户画像 🎯数据维度详情: 📩 身份信息|完整姓名|CPF税号 💼验证邮箱|手机号码|详细地址 💳金融资产|信用卡全信息|账户类型 ✍️账单日期|还款截止日|账单总金额 💰逾期状态|精准利率 | 利息金额 💎核心优势: ⭐️ 巴西最大生活平台一手数据 ⭐️实时更新动态 ⭐️合规数据源

Showing the 12 most recent of 14 posts we hold for @wuxian888. 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 — 801,411 of 1,481,306entries 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 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“物现海外数据源头🛩” (@wuxian888), 161 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/wuxian888.

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.