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Channel

Hope通知频道

@MakeGoodHope

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

73,095subscribers

-3,506 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002011986528
TypeChannel
Username@MakeGoodHope
Description机器人: @shegongkuhope_bot
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 live15 October 2026
Measurements held38
Confirmed unchanged1 time, most recently 15 October 2026
On Telegramt.me/MakeGoodHope

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.

Growth

73,09576,60174,8487 August 2026 — 76,601 subscribers7 August 2026 — 76,601 subscribers8 August 2026 — 76,558 subscribers9 August 2026 — 76,502 subscribers10 August 2026 — 76,498 subscribers11 August 2026 — 76,441 subscribers12 August 2026 — 76,394 subscribers14 August 2026 — 76,377 subscribers15 August 2026 — 76,351 subscribers16 August 2026 — 76,270 subscribers17 August 2026 — 76,230 subscribers18 August 2026 — 76,221 subscribers19 August 2026 — 76,165 subscribers21 August 2026 — 76,145 subscribers22 August 2026 — 76,077 subscribers24 August 2026 — 75,958 subscribers25 August 2026 — 75,867 subscribers26 August 2026 — 75,789 subscribers27 August 2026 — 75,745 subscribers28 August 2026 — 75,699 subscribers29 August 2026 — 75,623 subscribers30 August 2026 — 75,558 subscribers31 August 2026 — 75,489 subscribers1 September 2026 — 75,382 subscribers2 September 2026 — 75,326 subscribers3 September 2026 — 75,277 subscribers5 September 2026 — 75,200 subscribers8 September 2026 — 75,073 subscribers11 September 2026 — 74,984 subscribers13 September 2026 — 74,894 subscribers15 September 2026 — 74,853 subscribers17 September 2026 — 74,778 subscribers27 September 2026 — 74,175 subscribers4 October 2026 — 73,843 subscribers9 October 2026 — 73,496 subscribers13 October 2026 — 73,222 subscribers14 October 2026 — 73,133 subscribers15 October 2026 — 73,095 subscribers7 August 202615 October 2026
38 measurements spanning 69 days, net -3,506. 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 72,569–77,127 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
15 Oct 2026, 20:3173,095-38
14 Oct 2026, 17:2073,133-89
13 Oct 2026, 09:0973,222-274
9 Oct 2026, 03:2173,496-347
4 Oct 2026, 19:0073,843-332
27 Sept 2026, 04:5574,175-603
17 Sept 2026, 11:3674,778-75
15 Sept 2026, 07:1774,853-41
13 Sept 2026, 12:3774,894-90
11 Sept 2026, 13:1674,984-89
8 Sept 2026, 23:4275,073-127
5 Sept 2026, 14:2275,200-77
3 Sept 2026, 13:2175,277-49
2 Sept 2026, 09:2575,326-56
1 Sept 2026, 09:4975,382-107
31 Aug 2026, 06:4775,489-69
30 Aug 2026, 05:4675,558-65
29 Aug 2026, 07:5675,623-76
28 Aug 2026, 05:3675,699-46
27 Aug 2026, 07:0675,745first reading

Engagement

34 posts held, back to 22 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.20%
avg views ÷ 73,095 subscribers
Avg views / post
875
7 posts measured
Reaction rate
0.366%
reactions ÷ views · ER floor
Posts in window
9
of 34 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 6 of 7 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 15 October 2026
Posts held34 (22 November 2025 – 15 October 2026)
Views total6,127
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Oct 2026, 04:26 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
22
Links
9

Lifetime counters from Telegram’s own channel header, read 16 October 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

102 reactions across 24 posts, in 5 distinct kinds. The most used accounts for 82.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8482.4%
👍1312.7%
😡32.94%
🆒10.98%
🔥10.98%

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 26 of the 34 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 102 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 22 November 2025 to 15 October 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

15 Oct 2026, 04:00 UTC454 views3 reactionsread 16 October 2026

更新出了点bug 导致VIP不能用猎魔 等我修复一下

😡2👍1

15 Oct 2026, 02:33 UTC564 views6 reactionsread 16 October 2026
Photo

各位老板: 机器人现已完成底层逻辑的彻底重构! 1.我们废弃了旧版低效的本地静态配置,通过自研的扫描引擎,直连我们极具规模的底层数据池,对所有表、所有列进行了全新分类和归档! 2.除了主体身份证外,现在:配偶身份证、法人身份证、车牌号码、微信昵称等大量新的字段也可以进行检索! 3.猎魔部分采用新的数据库,非结构数据的再结构化后才用分布式的递归检索方案,实现了猎魔秒出🍑 4.最近新增了大量社工数据,在覆盖范围以及丰富程度相比过去有了大概三分之一的提升 5.Hope社工库在已运营三年的情况下再次承诺,Hope社工库只用自己手上的且完全掌控的优质数据,绝不会像外面用协议或泛滥的垃圾数据去欺瞒客户 目前在整合过去更新过程中遗漏掉的数据以及采用将新的关联算法,深度解析目标的关系网,还请新老用户敬请期待 希望各位老板能够多多支持我们的社工库,现在的会员价格很有性价比💪 官方客服: @DoGoodPeople 机器人: @shegong…

❤3👍2🆒1

14 Oct 2026, 08:46 UTCviews —

Hope通知频道 pinned «诚邀:公安 刑侦 经侦 银行 快递民政等内部权限人员合作捞金 日入过万 共同捞金 每天收入过万 安全收付款 📊 一个星期清空 房贷;车贷 📊 半个月 提新车 买新房 🔰 害怕出事?害怕系统留痕迹? 本团队旗下合作多位老民警,安全合作近3年,来自老同志的安全措施办法,系统漏洞轻松去除公安水印,现金变现方法,虚拟货币混币转暗网币安全洗钱方式,应对突发事件如何巧妙处理方案,公安部重大消息;上层秘密行动都会实时通知,并给出应对方法,为你保驾护航 😎如果你平时在单位,仅负责干一些登记记录的事,何不如做点安全副业,维持家用?…»

14 Oct 2026, 08:46 UTC651 views1 reactionsread 16 October 2026

诚邀:公安 刑侦 经侦 银行 快递民政等内部权限人员合作捞金 日入过万 共同捞金 每天收入过万 安全收付款 📊 一个星期清空 房贷;车贷 📊 半个月 提新车 买新房 🔰 害怕出事?害怕系统留痕迹? 本团队旗下合作多位老民警,安全合作近3年,来自老同志的安全措施办法,系统漏洞轻松去除公安水印,现金变现方法,虚拟货币混币转暗网币安全洗钱方式,应对突发事件如何巧妙处理方案,公安部重大消息;上层秘密行动都会实时通知,并给出应对方法,为你保驾护航 😎如果你平时在单位,仅负责干一些登记记录的事,何不如做点安全副业,维持家用? 🉐 一辈子就那么短,何不如快别人一步享受人生?甘愿让自己老婆羡慕别人家媳妇?忍心让自己孩子输在起跑线上? 📢24小时 恭候您的加入 唯一客服:@dogoodpeople

👍1

13 Oct 2026, 03:32 UTC903 views2 reactionsread 16 October 2026

去试一下 充值系统已经修复 看看梦充会员了吗

👍2

11 Oct 2026, 15:18 UTC≈1,420 views2 reactionsread 16 October 2026

去试试新更新的猎魔吧 组合查询 用空格分隔条件: - 姓名 + 完整身份证 张三 110101199001011237 - 姓名 + 残缺身份证 张三 110101********1237 - 姓名 + 完整手机号 张三 13800138000 - 姓名 + 残缺手机号 张三 138****8000 - 姓名 + 地区/性别 张三 北京市 男 - 姓名 + 出生年月 张三 北京市 男 1990 未知位可用 * 或 x;描述词最多一个。 Hope官方频道 官方客服: @DoGoodPeople 机器人: @shegongkuhope_bot 官方交流群:https://t.me/MakeGoodHopePeopleGroup

👍1😡1

10 Sept 2026, 02:16 UTC≈5,260 views7 reactionsread 16 October 2026

新更新增加大量新数据 广东省 山东省 天津市 云南省 吉林省 河北/辽宁/湖南/福建 河南/重庆 等大量医疗 社保 婚姻 房产 等个人丰富数据 大量车牌数据,大量全户,大量贷款数据,独家三要素和国安二要素 Hope官方频道 官方客服: @DoGoodPeople 机器人: @shegongkuhope_bot 官方交流群:https://t.me/MakeGoodHopePeopleGroup

❤4👍3

6 Sept 2026, 02:07 UTC≈5,700 views2 reactionsread 16 October 2026
Photo

今日不停机更新大量数据,数据库压力有些大,今日查询会比较慢 将更新各地区,大量法人 社保 医疗 公积金 家庭成员等数据,目前持续入库中,后续 将继续优化输出以及UI,感谢新老用户的支持 ⬅️↔️↔️↔️↔️↔️➡️⬅️↔️↔️↔️↔️↔️➡️ Hope官方频道 官方客服: @DoGoodPeople 机器人: @shegongkuhope_bot 官方交流群:https://t.me/MakeGoodHopePeopleGroup

❤2

4 Sept 2026, 23:48 UTC≈4,460 views2 reactionsread 16 October 2026

上线批量查询会员 批量补齐 批量查询 批量精准匹配 详情咨询 @dogoodpeople

👍2

Showing the 12 most recent of 34 posts we hold for @MakeGoodHope. 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

@MakeGoodHope edited 1 post 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
10 October 2026
Most recent edit
10 October 2026

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

“Hope通知频道” (@MakeGoodHope), 73,095 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/MakeGoodHope.

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.