催眠APP2/ hypnoApp2/ 用洗脑APP 调教清纯大小姐的模拟游戏2/洗脳アプリで清楚なお嬢様をドスケベ調教するシミュレーション ▎介绍 最近在漫画或CG合集中常见的“催眠APP”,难道你不想试试看吗…? 这款游戏高度还原了使用催眠APP进行色情调教的真实体验,是一款沉浸式模拟游戏! 并非固定流程的被动观赏,而是让你化身主角,随心所欲地调教女孩! 根据不同玩法,女主角会通过丰富的台词和动画给予多样反馈。 相较于前作《用洗脑APP对高傲大小姐为所欲为的模拟游戏》,本作全面升级! 新增淫语、换装等系统及追加姿势,自由度大幅提升! ▎标签 #安卓 #A4 #SLG #催眠APP2 #群友推荐 ▎获取 https://t.me/NewFolder_B/129

Channel
新建文件夹(免费黄油分享)📂
@NewFolder_A
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,366subscribers
-35 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002591527591 |
|---|---|
| Type | Channel |
| Username | @NewFolder_A |
| Description | 专注免费黄油分享 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 2 times, most recently 8 November 2026 |
| On Telegram | t.me/NewFolder_A |
Topic
Adult — 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 67% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 12:58 | 6,366 | +11 |
| 2 Nov 2026, 11:56 | 6,355 | -11 |
| 30 Oct 2026, 21:28 | 6,366 | +7 |
| 27 Oct 2026, 12:06 | 6,359 | -1 |
| 24 Oct 2026, 05:38 | 6,360 | -14 |
| 21 Oct 2026, 06:37 | 6,374 | +8 |
| 18 Oct 2026, 10:37 | 6,366 | -2 |
| 11 Oct 2026, 14:18 | 6,368 | -24 |
| 4 Oct 2026, 19:58 | 6,392 | +2 |
| 25 Sept 2026, 08:00 | 6,390 | -27 |
| 12 Sept 2026, 14:39 | 6,417 | -7 |
| 8 Sept 2026, 10:15 | 6,424 | +1 |
| 2 Sept 2026, 21:03 | 6,423 | -3 |
| 30 Aug 2026, 13:07 | 6,426 | +2 |
| 27 Aug 2026, 23:18 | 6,424 | +1 |
| 24 Aug 2026, 21:15 | 6,423 | +6 |
| 20 Aug 2026, 21:29 | 6,417 | +3 |
| 17 Aug 2026, 18:06 | 6,414 | +12 |
| 14 Aug 2026, 13:17 | 6,402 | -2 |
| 10 Aug 2026, 21:41 | 6,404 | first reading |
Engagement
16 posts held, back to 5 April 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 14 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.35%
- avg views ÷ 6,366 subscribers
- Avg views / post
- 213
- 10 posts measured
- Reaction rate
- 0.766%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 16 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 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 16 (5 April 2026 – 6 November 2026) |
| Views total | 2,134 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 13:06 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
- 449
- Videos
- 1
- Links
- 90
Lifetime counters from Telegram’s own channel header, read 6 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
71 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 64.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 46 | 64.8% | |
| 👍 | 22 | 31.0% | |
| 🎉 | 3 | 4.23% |
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 12 of the 16 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 71 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 5 April 2026 to 6 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: 1 of 10 posts held from the last 30 days (10.0%) 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).
永恒世界 0.95 官方中文版 ▎介绍 您将与最好的朋友搬到克里登市那里拥有该国一些最好的学校和大学,继续学业。 然而在 Kredon,每个人都只谈论一件事: ETERNUM——几年前发布的虚拟、超现实MMORPG游戏,彻底改变技术世界。 有了能重现五种感官的神经植入物,就无法区分游戏和现实世界。 数以千计的服务器构成了永恒的网络: 从色彩缤纷、充满魔力的奇幻世界到迷雾缭绕的科幻城市,没一个世界遥不可及。 然而从表面上看,这个漂亮的外表有更黑暗的一面: 黑市、用刑、强O、非常内容贩卖、非常集会……永恒遵循无人规则。 出于某种原因,有关部门对此视而不见,没有监管,也没有控制。 有人说这是因为游戏很容易上瘾, 有人说这是因为市场每天波动数百万美元, 有人说当权者被贿赂了, 还有人说……还有其他事情正在发生。你呢? 你在这个故事中扮演什么角色?嗯,现在就看你了。 ▎0.9更新日志 ・新增2050张以上图像 ・新增90个以上动画 ・…
👍1
邂逅朝雾:烟草的残香与黎明的你/SerendipityMorningMist: Dawn, Tobacco, Your Scent /出会い朝霧:煙草の残り香と夜明けの君 ▎介绍 你和千纱相恋多年,她是才华横溢的画家,画作如她本人一般的引人注目却又透露着疏离。 相恋多年,你好像始终走不进千纱的内心。这一天,千纱毫无预兆地告诉你,她要去海外进修。 在最后的5天里,你们心照不宣地不谈未来,只聊当下,仿佛一切如常。 每一次拥吻和占据,都比以往更加用力,而千纱,也比以往更加顺从。 ▎标签 #安卓 #A5 #SLG #触摸 #Live2D #纯爱 #群友推荐 #RJ01532843 #AI生成 ▎获取 https://t.me/NewFolder_B/124
❤1
特工17 v0.26.6 ▎介绍 某年某月某日,你在车祸现场捡到了一部手机。 当你打算卖掉它赚点零花钱时,突然接到了一个电话。 对方自称代号17号,是一位特工,几乎无所不能。 但是貌似脑袋不太灵光,把你认作她的顶头上司。 那么你会让他做些什么呢,教训欺负你的小太妹?调查你女神的真相?或者别的什么? ▎标签 #安卓 #SLG #特工17 #3D #解密 #后宫 #欧美 #编辑推荐 ▎备注 -以往版本 -群友 彻彻 分享的存档 -此游戏CG已提取上传至CG鉴赏频道 ▎获取 https://t.me/NewFolder_B/122 https://t.me/NewFolder_B/123
❤1
耻辱锁链/恥辱連鎖 ▎介绍 这是一款以“被同学抓住把柄的女孩,被迫在课堂上自慰……”为设定的小型模拟游戏,但故事性并不强。 玩家需要在课堂结束时获得的经验值来解锁技能,并以在课堂中达到高潮为目标。 难度设置 难度设定较为宽松。 游戏包含上下各4个阶段的衣物状态、4种基础动作+无课桌/无衣物模式+特写镜头+ 事件场景,准备了约300段动画。因此,在轻松尝试各种操作的过程中,应该能比较顺利地通关,不太会遇到困难。 预计完全解锁所有动画大约需要1~3小时。 自由模式 成功达到高潮后,将解锁无时间和行动限制的自由模式。 (可以自由行动,但尚未解锁的技能仍无法选择。) 事件动画 通过消耗经验值或达成特定条件,可以解锁事件动画。 H场景 所有H场景均以动画形式呈现。 虽然采用3DCG制作,但以视频格式播放,因此对电脑性能要求不高。 ▎标签 #电脑 #P2 #巨乳 #强制 #汉化 #3D #群友推荐 ▎获取 https://t.m…
👍1
腐败世界/腐化世界/ Corrupted World v0.1.0 ▎介绍 主角是一个刚刚开始独立和成人生活之旅的普通人。 主角去上学,做兼职,租一间小公寓,甚至没有想过会受到所有人的喜爱和欢迎。 然而,一天晚上,当三个陌生的女孩闯入他的房子时,他的生活发生了翻天覆地的变化。 如果,出于偶然(或者不是偶然?),主角现在有能力通过让女性服从自己的意愿来俘获女性的心呢? 于是他发现自己置身于一个自己都不了解的充满欲望和放荡的世界。 主角将如何使用他被赋予的力量,他的生活将如何改变? 由你决定! ▎标签 #安卓 #A1 #腐败世界 #SLG #兽耳 #巨乳 #机翻 ▎获取 https://t.me/NewFolder_B/120
❤2
欢乐终末地/Happy Endfield ▎标签 #PC #RenPy #AI生成 #小游戏 #同人 ▎备注 1.很简单的小游戏,几张游戏截图和一些AI随便跑的图,很草率了 2.盖世跑不了,无法正常显示图片 3.实际玩起来很难绷,纯当一乐吧 ▎获取 https://t.me/NewFolder_B/141
眼眸之城與夢境少女 ▎介绍 赛克洛普斯,眼眸之城,是一座拥有千年沉积的的古老城市,也是在工业浪潮中蜕变的先驱。在这历史与科技交融的舞台,无数人物的故事在喧譁与沉默中起起落落。 艾曲医生并非镁光灯下的亮眼主角,但他的戏份却比其他人都更加扑朔离奇。当他落魄地离开学院时,一位自称为「神明」的神祕女子找上了他,赋予艾曲一双拥有特别能力的眼眸。多年后,依靠眼眸的魔力和紮实的医术,艾曲如愿以偿成为城市中最成功的医生之一。 ▎标签 #安卓 #SLG #眼眸之城與夢境少女 #官中 #无码 #纯爱 ▎获取 https://t.me/NewFolder_B/142
Sticker, posted without a caption
🎉3
此频道已移交新频道主迷迭香,今后将继续更新。 我也会依然在频道与讨论区活跃。
再见😚
👍20❤1
BLACKSOULSII -爱しき贵方へ赠る不思议の国- ▎介绍 …咔哒咔哒……咔哒咔哒……。 …又来了。 耳边奏响起、时钟的指针刻印在脑中的声音。 无法用梦来解释。 肉也好、骨也好、都被卷入齿轮、变化为血之块 「xxx先生。我爱你」 听到了那位少女的声音。 必须快点我到我心爱的爱丽丝才行。 …但是、不知道为什么。 记忆中的她的面孔、却被涂抹上了一片漆黑 --无论是谁、就连自己都无法将心爱的少女想起。 ▎标签 #安卓 #RPG #黑暗之魂 #黑魂2 #猎奇 #血腥 #恐怖 #Futa #萝莉 #贫乳 #巨乳 #冷狐 #移植 ▎获取 https://t.me/NewFolder_B/118
❤15
Showing the 12 most recent of 16 posts we hold for @NewFolder_A. 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
Named by 2 registered channels — 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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“新建文件夹(免费黄油分享)📂” (@NewFolder_A), 6,366 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/NewFolder_A.
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.