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Channel

开盒社工库开户机器人🤖

@DKGGMOD

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

10,913subscribers

+4,695 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001755272497
TypeChannel
Username@DKGGMOD
Description分享高质量免费机器人,频道分享内容都是频道主亲自使用后给你们说出来我的使用感受。全部都是真实评价没有任何夸大其词 加入频道跟着小编走避雷垃圾机器人👏 招广 @EDGZmjjKK
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 November 2026
Measurements held40
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/DKGGMOD

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

5,37410,9138,143.58 August 2026 — 6,218 subscribers8 August 2026 — 6,218 subscribers8 August 2026 — 6,230 subscribers11 August 2026 — 5,374 subscribers14 August 2026 — 5,728 subscribers17 August 2026 — 6,035 subscribers20 August 2026 — 6,288 subscribers23 August 2026 — 6,616 subscribers26 August 2026 — 6,908 subscribers29 August 2026 — 7,113 subscribers1 September 2026 — 7,261 subscribers5 September 2026 — 7,528 subscribers10 September 2026 — 7,771 subscribers14 September 2026 — 7,972 subscribers18 September 2026 — 8,213 subscribers27 September 2026 — 8,627 subscribers5 October 2026 — 9,001 subscribers12 October 2026 — 9,341 subscribers15 October 2026 — 9,588 subscribers18 October 2026 — 9,762 subscribers20 October 2026 — 9,875 subscribers23 October 2026 — 10,082 subscribers24 October 2026 — 10,104 subscribers25 October 2026 — 10,131 subscribers26 October 2026 — 10,208 subscribers27 October 2026 — 10,286 subscribers28 October 2026 — 10,326 subscribers29 October 2026 — 10,351 subscribers30 October 2026 — 10,363 subscribers31 October 2026 — 10,378 subscribers1 November 2026 — 10,422 subscribers2 November 2026 — 10,457 subscribers3 November 2026 — 10,498 subscribers4 November 2026 — 10,551 subscribers5 November 2026 — 10,588 subscribers6 November 2026 — 10,679 subscribers7 November 2026 — 10,718 subscribers8 November 2026 — 10,824 subscribers10 November 2026 — 10,853 subscribers12 November 2026 — 10,913 subscribers8 August 202612 November 2026
40 measurements spanning 96 days, net +4,695. 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 4,543–11,744 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)SubscribersChange
12 Nov 2026, 09:1410,913+60
10 Nov 2026, 07:1610,853+29
8 Nov 2026, 19:4610,824+106
7 Nov 2026, 11:1110,718+39
6 Nov 2026, 10:4110,679+91
5 Nov 2026, 08:2710,588+37
4 Nov 2026, 11:0710,551+53
3 Nov 2026, 13:3810,498+41
2 Nov 2026, 11:3510,457+35
1 Nov 2026, 11:1610,422+44
31 Oct 2026, 10:5810,378+15
30 Oct 2026, 11:0010,363+12
29 Oct 2026, 14:0910,351+25
28 Oct 2026, 12:0710,326+40
27 Oct 2026, 12:0910,286+78
26 Oct 2026, 13:4510,208+77
25 Oct 2026, 11:0510,131+27
24 Oct 2026, 11:5010,104+22
23 Oct 2026, 13:4010,082+207
20 Oct 2026, 23:099,875first reading

Engagement

48 posts held, back to 9 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 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.0%
avg views ÷ 10,913 subscribers
Avg views / post
3,380
17 posts measured
Reaction rate
0.12%
reactions ÷ views · ER floor
Posts in window
17
of 48 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 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held48 (9 July 2026 – 12 November 2026)
Views total57,542
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 12:43 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

Photos
1
Links
71

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

124 reactions across 33 posts, in 6 distinct kinds. The most used accounts for 62.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7762.1%
❤3931.5%
👎32.42%
🔥21.61%
😴21.61%
🤮10.806%

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 37 of the 48 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 124 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 9 July 2026 to 12 November 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’s own ‘edited’ marker: 4 of 17 posts held from the last 30 days (23.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 11:38 UTC51 views3 reactionsread 12 November 2026

TG最强社工库组合横空出世 强烈推荐以下六库⬇️⬇️ 🤫五月天社工库机器人 https://t.me/sgk250bot?start=5143791 🤫没有积分无限使用 https://t.me/SGK250_bot 强烈推荐👍:最好用的社工库。数据完整高达几十亿,查询出的内容丰富使用方便速度快准确高,猎魔补齐功能居多数据庞大。付费客服靠谱出单还效率!信誉至上的品牌 ✅侦探站机器人 https://t.me/zhentanzhanbot?start=ZFOWQLTBYK ✅智库机器人 https://t.me/zksgkbot?start=MzMxMjI3NDQ4 🤫免费开户机器人 https://t.me/aisgk1?start=1068 🤫法拉利机器人 https://t.me/wykhbot?start=invite_8960382251 常用六库,数据多,查询出的内容丰富,简单易操作无复杂指令,无从挑剔新手必备库 推荐…

👍3

11 Nov 2026, 17:47 UTC487 views2 reactionsread 12 November 2026

✅情报局机器人 https://t.me/qingbaobu?start=MzMxMjI3NDQ4 推荐指数:⭐️⭐️⭐️⭐️⭐️ 小编留言:数据库特别庞大,运营好几年的社工库。新手小白必备神器

👍2

11 Nov 2026, 17:44 UTC482 views4 reactionsread 12 November 2026

✅天眼机器人天玑 https://t.me/tianyanSGKbot?start=MzMxMjI3NDQ4 推荐指数:⭐️⭐️⭐️⭐️⭐️ 小编留言:数据库庞大好用,功能也很齐全,也是新手小白必备

👍3❤1

11 Nov 2026, 17:41 UTC481 views5 reactionsread 12 November 2026

✅天机阁乾坤 https://t.me/tianjigeSGKbot?start=MzMxMjI3NDQ4 推荐指数:⭐️⭐️⭐️⭐️⭐️ 小编留言:数据库庞大,功能齐全,响应极快,新手小白必备。

👍4❤1

10 Nov 2026, 01:06 UTC≈1,030 views2 reactionsread 12 November 2026

TG最强社工库组合横空出世 强烈推荐以下六库⬇️⬇️ 🤫五月天社工库机器人 https://t.me/sgk250bot?start=5143791 🤫没有积分无限使用 https://t.me/SGK250_bot 强烈推荐👍:最好用的社工库。数据完整高达几十亿,查询出的内容丰富使用方便速度快准确高,猎魔补齐功能居多数据庞大。付费客服靠谱出单还效率!信誉至上的品牌 ✅侦探站机器人 https://t.me/zhentanzhanbot?start=ZFOWQLTBYK ✅智库机器人 https://t.me/zksgkbot?start=MzMxMjI3NDQ4 🤫免费开户机器人 https://t.me/aisgk1?start=1068 🤫法拉利机器人 https://t.me/wykhbot?start=invite_8960382251 常用六库,数据多,查询出的内容丰富,简单易操作无复杂指令,无从挑剔新手必备库 推荐…

❤2

9 Nov 2026, 04:55 UTC511 views2 reactionsread 10 November 2026

TG最强社工库组合横空出世 强烈推荐以下六库⬇️⬇️ 🤫五月天社工库机器人 https://t.me/sgk250bot?start=5143791 🤫没有积分无限使用 https://t.me/SGK250_bot 强烈推荐👍:最好用的社工库。数据完整高达几十亿,查询出的内容丰富使用方便速度快准确高,猎魔补齐功能居多数据庞大。付费客服靠谱出单还效率!信誉至上的品牌 ✅侦探站机器人 https://t.me/zhentanzhanbot?start=ZFOWQLTBYK ✅智库机器人 https://t.me/zksgkbot?start=MzMxMjI3NDQ4 ✅档案室机器人 https://t.me/dasskgbot?start=S31YIY2RHR 🤫免费开户机器人 https://t.me/aisgk1?start=1068 🤫法拉利机器人 https://t.me/wykhbot?start=invite_8960…

👍2

7 Nov 2026, 12:05 UTC≈2,640 views7 reactionsread 12 November 2026

✅智库机器人 https://t.me/zksgkbot?start=MzMxMjI3NDQ4 推荐指数:⭐️⭐️⭐️⭐️⭐️ 小编留言:功能强大齐全,数据库庞大好用,响应快,新手小白必备神器!小编十分推荐!

👍7

5 Nov 2026, 01:21 UTC≈3,610 views2 reactionsread 12 November 2026

💥纸飞机最强社工库组合💥 💥频道主主推 谁用谁牛逼💥 五月天社工库机器人 https://t.me/sgk250bot?start=5143791 五月天二号社工库机器人 https://t.me/SGK250_bot 没有签到!群组免费使用!无需积分! 强烈推荐:最好用的社工库。数据完整高达几十亿,查询出的内容丰富使用方便速度快准确高,以上链接有多个机器人方便结合起来方便。 推荐指数:⭐️⭐️⭐️⭐️⭐️⭐️ 小编留言:数据庞大,响应快,2号机器人不用积分功能免费使用。付费客服靠谱出单还效率!信誉至上的品牌

😴2

3 Nov 2026, 15:26 UTC≈3,450 views3 reactionsread 12 November 2026

🤫免费开户机器人 https://t.me/aisgk1?start=1068 推荐指数:⭐️⭐️⭐️⭐️⭐️ 小编留言:数据庞大,响应快,效果好,可以签到,可以猎魔,新手小白必备神器

👍3

30 Oct 2026, 04:41 UTC≈4,880 views2 reactionsread 12 November 2026

🤫法拉利机器人 https://t.me/wykhbot?start=invite_8960382251 推荐指数:🌟🌟🌟🌟🌟 小编留言:数据库庞大,功能齐全方便使用。 十分推荐,靠谱的商家

👍2

28 Oct 2026, 11:51 UTC≈5,040 views3 reactionsread 12 November 2026

✅绿巨人机器人 https://t.me/LJR_SGK_BOT?start=5BxpIPB6aPOh 推荐指数:⭐️ 小编留言:数据不多,只能说还好

👍3

27 Oct 2026, 13:03 UTC≈4,960 views7 reactionsread 12 November 2026

✅侦探站机器人 https://t.me/zhentanzhanbot?start=ZFOWQLTBYK 推荐指数:🌟🌟🌟🌟🌟 小编留言:数据库庞大,数据多,响应快。有签到。小编强推!比大部分机器人数据都多

👍6❤1

Showing the 12 most recent of 48 posts we hold for @DKGGMOD. 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

@DKGGMOD edited 5 posts 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
12 November 2026

Posts recorded as deleted after publishing

We recorded 10 posts on @DKGGMOD as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
5

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.

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

“开盒社工库开户机器人🤖” (@DKGGMOD), 10,913 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/DKGGMOD.

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.