Channel
@geteb98
On this record: Growth · Engagement · Posts · Citations · Cite this entry
13subscribers
-19 since we began measuring on 10 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003947487234 |
|---|---|
| Type | Channel |
| Username | @geteb98 |
| Created | 29 May 2026 — measured — dated from the channel’s first post |
| First recorded | 12 September 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/geteb98 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 21:15 | 13 | -19 |
| 12 Sept 2026, 11:23 | 32 | no change |
| 10 Sept 2026, 01:47 | 32 | first reading |
5 posts held, back to 29 May 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 5 posts for this entry, the most recent from 3 July 2026. An engagement rate over an empty window would be a number about nothing.
#龙岗坂田 依潼 在如此的中午，温暖不是一种感觉， 而是一个需要不断抵达的决定。 约课，定位，出发，行云流水奔赴。 一见面，噫~那么好看呀，本人比照片好看，属于耐看型，没有纹身，不抽烟，➕分。身材很好。 脱衣以后，握草好大，小小身材大大的胸！穿衣真没看出来有这么大的胸呀。 一起浴室，好像也没有过多的戏份，也就很简单的冲洗。我反正就捏着她的胸玩，水中萧一下。 床上等她，好像，认真的舔，这时候可以深喉，可我才1cm，深喉也没啥用，哇，没想到还有ab 面，这不是以前莞式才有的嘛，意外惊喜。换我啦，摸一下下面，下面已经水漫金山了，逼型很好看，69了一下，然后摸下面，摸豆豆，老师下面喷啦，第一次遇到，感觉很神奇，一次很棒的体验。 到做爱环节：老师下面好会夹，很紧，快高潮的时候会叫爸爸。 非要说缺点的话，照片不上相，不容易被发现有这么个宝藏女孩。 【联系方式】： @yitong564
#龙岗坂田 #艺名柒柒 【验证留名】：Susan 【验证时间】：5.5 【修车水费】：2388pp 【服务内容】：课表上的都有，配合度高 【颜值身材】：166左右高颜值 【凶器罩杯】：c 【体验细节】：夜闻百花群艳，星河灿。 却是御马仙衣入凡间。 也算是碰上小极品了，身材不瘦不胖，颜值高。 一见妹妹，怎么说呢，和她头像一模一样，但是她头像即是她！所见即所得在此刻具象化了。 给了钱，第一感觉很温馨很体贴，桌子上摆的有各种饮料红牛任意挑选，还有各种烟，聊聊天感觉很松弛，她开始脱衣，这流程真的情绪价值拉满，当时心里感觉很值啦。 来到床上，这床很整洁。 躺床上，等妹妹的到来，她站在床尾处，擦干身体，身材颜值真是绝杀我。 下次一定要在浴室水中潇，落地镜前让她给我口（这次这房间没有落地镜），按住头深喉，给她刺激的流眼泪，口水拉丝才是最棒的，她值得我二刷 正常第一发，第二发我不服输自己开始自己掌控节奏，我十指紧扣，给她支撑点。 她这时候她感觉…
#龙岗坂田 #桥本有菜 【验证留名】：Susan 【验证时间】：5.5 【修车水费】：1288p 【服务内容】：课表上的都有，配合度高 【颜值身材】：瘦小苗条型 【凶器罩杯】：b 【体验细节】： 人常浪荡自消磨， 千金难买益已得。 去年就有好哥哥安利给我了，在购物车一直没去。 正好鸡儿蠢蠢欲动，看到她开课消息就火速约上了。 天一直下雨，很烦，但是见到她，很香。 见面有菜身材确实“破费特”，前凸后翘，态度也是非常之热情！ 驱寒问暖，舟车劳顿。有种宾至如归的感觉。 特别还先给个拥抱，这比其他快餐嫩妹给的感觉好太多了。 你问我颜值嘛？和照片是一个人，但是去掉美颜滤镜这一类，符合心里预期。 你问我身材嘛？和照片大差不差，腿是筷子腿，但是前凸后翘真的完美，没多余赘肉。 在一阵寒暄过后，一起去浴室。她那躯体“破费特”，这种……我很喜欢。 浴室嘛，可以跳过，真没有什么特别节目，给我洗的很仔细，但是我想体验水中潇，可惜“没有”。 来床上，好戏开…
Channel photo updated
Channel created
Showing the 5 most recent of 5 posts we hold for @geteb98. 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.
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Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳出击日记” (@geteb98), 13 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/geteb98.
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.