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
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Channel
@MakeGoodHope
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
74,175subscribers
-2,426 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002011986528 |
|---|---|
| Type | Channel |
| Username | @MakeGoodHope |
| Description | 机器人: @shegongkuhope_bot |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/MakeGoodHope |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 04:55 | 74,175 | -603 |
| 17 Sept 2026, 11:36 | 74,778 | -75 |
| 15 Sept 2026, 07:17 | 74,853 | -41 |
| 13 Sept 2026, 12:37 | 74,894 | -90 |
| 11 Sept 2026, 13:16 | 74,984 | -89 |
| 8 Sept 2026, 23:42 | 75,073 | -127 |
| 5 Sept 2026, 14:22 | 75,200 | -77 |
| 3 Sept 2026, 13:21 | 75,277 | -49 |
| 2 Sept 2026, 09:25 | 75,326 | -56 |
| 1 Sept 2026, 09:49 | 75,382 | -107 |
| 31 Aug 2026, 06:47 | 75,489 | -69 |
| 30 Aug 2026, 05:46 | 75,558 | -65 |
| 29 Aug 2026, 07:56 | 75,623 | -76 |
| 28 Aug 2026, 05:36 | 75,699 | -46 |
| 27 Aug 2026, 07:06 | 75,745 | -44 |
| 26 Aug 2026, 05:02 | 75,789 | -78 |
| 25 Aug 2026, 05:18 | 75,867 | -91 |
| 24 Aug 2026, 02:03 | 75,958 | -119 |
| 22 Aug 2026, 13:12 | 76,077 | -68 |
| 21 Aug 2026, 00:55 | 76,145 | first reading |
25 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 113 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 25 (22 November 2025 – 10 September 2026) |
| Views total | 10,170 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 02:02 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.
Lifetime counters from Telegram’s own channel header, read 2 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.
86 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 93.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 80 | 93.0% | |
| 👍 | 5 | 5.81% | |
| 🔥 | 1 | 1.16% |
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 20 of the 25 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 86 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 22 November 2025 to 10 September 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.
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
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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
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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
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服务器维护两小时
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
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机器人已恢复
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机器人维护大概一小时,现在好了,今天会不定时停机,更新大量数据中
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机器人在维护
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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
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📢 Hope社工库新版更新公告 新版本现已完成更新,当前整体功能已基本补齐,现已全面切换至全新架构版本。 本次更新中,猎魔功能进一步完善,整体检索逻辑、匹配能力和使用体验都有明显提升。 同时,系统已新增约 40E 条数据,现阶段已支持更多类型、更多维度的检索方式。 后续数据仍在持续扩充中,内容会陆续补充上线。 请参考 /help 使用新版本机器人。 📌 使用示例(支持 *、x 代替未知位) 费用:普通用户 1 积分 / 次,会员免费 1️⃣ 普通查询(直接输入关键词,系统自动识别类型) ├─ 蔡徐坤 ← 姓名 ├─ 332624199001131214 ← 身份证号 ├─ 13888888888 ← 手机号 ├─ 鲁A88888 ← 车牌号 ├─ 010-1234568 ← 固定电话 ├─ [email protected] ← 邮箱 ├─ 10001 ← QQ号 ├─ 6576123123 ← 微博UID ├─ 英雄联盟…
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hope机器人更新上线新规则更新 签到积分现在变成有实效限制了,签到积分过期则清除. 充值积分永久保留.
人工频道被封了,等机器人调试新数据,从新开一个
Showing the 12 most recent of 25 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.
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.
@MakeGoodHope named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“Hope通知频道” (@MakeGoodHope), 74,175 subscribers as measured 27 September 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.