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Channel

(拉贝資源)数据市場-渗透測試

@guoneisj888

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

594subscribers

-112 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-1002306478997
TypeChannel
Username@guoneisj888
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 live27 October 2026
Measurements held11
Confirmed unchanged2 times, most recently 27 October 2026
On Telegramt.me/guoneisj888

Topic

Hacking & security — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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

5947126537 August 2026 — 706 subscribers8 August 2026 — 706 subscribers8 August 2026 — 712 subscribers15 August 2026 — 693 subscribers23 August 2026 — 670 subscribers31 August 2026 — 664 subscribers9 September 2026 — 649 subscribers17 September 2026 — 641 subscribers2 October 2026 — 625 subscribers12 October 2026 — 597 subscribers20 October 2026 — 594 subscribers7 August 202620 October 2026
11 measurements spanning 74 days, net -112. 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 576–730 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Oct 2026, 11:41594-3
12 Oct 2026, 23:19597-28
2 Oct 2026, 14:59625-16
17 Sept 2026, 12:17641-8
9 Sept 2026, 09:40649-15
31 Aug 2026, 06:24664-6
23 Aug 2026, 09:46670-23
15 Aug 2026, 07:59693-19
8 Aug 2026, 14:54712+6
8 Aug 2026, 02:18706no change
7 Aug 2026, 19:34706first reading

Engagement

8 posts held, back to 8 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 8 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

27 Jul 2026, 11:37 UTC134 viewsread 8 August 2026

所有用户迁移新频道:https://t.me/LABEIDATA 老频道停止更新,以后新频道只更新精品数据,如果频道没发的可以私聊咨询,基本全球全行业都有。

23 Jul 2026, 13:42 UTC620 viewsread 8 August 2026
Photo

我们使用的地址库为以上业主库,全国业主户主,全网最大的独家数据库。 可做快递数据 刮刮乐等,精准详细地址。 表头:姓名、身份证号码、出生日期、年龄、手机号、详细地址、用户类型、性别、城市、城区、小区名、商圈、地址、单元/门牌号、建筑类型、权属类别、住宅、物业类型、电梯情况、小区均价。 可筛要求:地区 年龄 性别。 库存:816521194

16 Jul 2026, 16:37 UTC239 viewsread 8 August 2026
Photo

注:图为要求模板之一,要求根据客户自定义。 定制发快递数据: 3e多重复库也可以过,我们拥有全网最大的数据库。 · 新增四要素匹配(姓名,号码,身份证,地址)。 · 新增网贷探针(姓名,号码,房屋情况,单位名称,拥有车辆,公积金在缴情况,是否含有社保)。 · 新增车主匹配(姓名,身份证,手机号,户籍归属地,性别,出生年月日,车型,车牌,车颜色,车辆预估购买价格,手机归属地)。 · 新增业主匹配(姓名,身份证,号码,性别,年龄,城市名,城区,小区名,地址,建筑类型,权属类别,物业类型,小区均价)。

15 Jul 2026, 08:57 UTC41 viewsread 8 August 2026
Photo

商品:全国车主数据 标签:#车主 #汽车 #品牌车 #价格段 说明: 表头:姓名·手机号·身份证号码·户籍省份·出生日期·性别·年龄·车辆品牌·车型·车牌·车辆颜色·车辆类型·车辆能源·车辆价格区间·车牌省份。 可筛要求:地区 年龄 性别 出生日期 车辆品牌 车辆价格区间。 库存:148631966

15 Jul 2026, 08:57 UTC40 viewsread 8 August 2026
Photo

商品:2026业主营销数据 标签:#业主 #房东 #租客 说明: 表头:姓名、身份证号码、出生日期、年龄、手机号、详细地址、用户类型、性别、城市、城区、小区名、商圈、地址、单元/门牌号、建筑类型、权属类别、住宅、物业类型、电梯情况、小区均价。 可筛要求:地区 年龄 性别。 库存:816521194

12 Jul 2026, 10:35 UTC61 viewsread 8 August 2026
Photo

租机专题,涵盖下机在用等,共30余个租机平台。适合高炮,租机,分期商城等。

8 Jul 2026, 04:20 UTC68 viewsread 8 August 2026
Photo

保险类专题 涵盖财险,寿险,车险,健康险等在缴保单。

Showing the 8 most recent of 8 posts we hold for @guoneisj888. 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

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

“(拉贝資源)数据市場-渗透測試” (@guoneisj888), 594 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/guoneisj888.

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.