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Channel
App Store 限免应用 & ...
@ooapps
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
10,373subscribers
+2,355 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002657250966 |
|---|---|
| Type | Channel |
| Username | @ooapps |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/ooapps |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 31% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 01:38 | 10,373 | +463 |
| 18 Sept 2026, 03:41 | 9,910 | +155 |
| 13 Sept 2026, 13:01 | 9,755 | +155 |
| 10 Sept 2026, 00:01 | 9,600 | +241 |
| 4 Sept 2026, 23:59 | 9,359 | +142 |
| 1 Sept 2026, 05:06 | 9,217 | +70 |
| 29 Aug 2026, 11:55 | 9,147 | +78 |
| 26 Aug 2026, 07:13 | 9,069 | +115 |
| 23 Aug 2026, 13:28 | 8,954 | +142 |
| 20 Aug 2026, 00:53 | 8,812 | +153 |
| 16 Aug 2026, 18:34 | 8,659 | +210 |
| 13 Aug 2026, 09:35 | 8,449 | +271 |
| 9 Aug 2026, 23:37 | 8,178 | +147 |
| 6 Aug 2026, 13:51 | 8,031 | +13 |
| 6 Aug 2026, 03:04 | 8,018 | no change |
| 6 Aug 2026, 01:53 | 8,018 | first reading |
Engagement
298 posts held, back to 5 August 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 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.59%
- avg views ÷ 10,373 subscribers
- Avg views / post
- 372
- 8 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 298 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 1 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 298 (5 August 2026 – 28 August 2026) |
| Views total | 2,976 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 15:26 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.
Reaction mix
612 reactions across 248 posts, in 11 distinct kinds. The most used accounts for 73.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 448 | 73.2% | |
| ❤ | 97 | 15.8% | |
| 🔥 | 31 | 5.07% | |
| 👏 | 26 | 4.25% | |
| 😐 | 3 | 0.49% | |
| 🗿 | 2 | 0.327% | |
| 👎 | 1 | 0.163% | |
| 💔 | 1 | 0.163% | |
| 🤗 | 1 | 0.163% | |
| 🤝 | 1 | 0.163% | |
| 🥰 | 1 | 0.163% |
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 260 of the 298 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 627 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 298 most recent posts we hold, published 5 August 2026 to 28 August 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
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Showing the 12 most recent of 298 posts we hold for @ooapps. 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
@ooapps edited 2 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
- 12 August 2026
- Most recent edit
- 24 August 2026
Mentions
Named by 31 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@cyber_confessional · 40,1498 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,9927 posts小声逼逼
@me888888888888 · 50,8187 postsLIHAI 分享
@lihaiba · 39,1636 posts大聪明 破解软件分享频道
@dcmpj · 41,5185 posts折腾啥
@zhetengsha · 49,6755 posts资源分享客栈-Applnn
@zyfxlnn · 32,6455 postsAppinn Feed|小众软件
@appinnfeed · 33,3614 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 45,6254 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 22,6794 postsAPPDO的互联网记忆
@appdopic · 16,3463 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 49,9503 posts书墨资源
@shumozy · 20,7693 posts小众机场测评
@sstrojan · 19,7233 posts飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 62,2192 postsFFQ Cloud 订阅|id分享中心
@ffqidfx · 6,8682 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,4912 posts夸克网盘资源俱乐部
@kkdj001 · 6,3852 posts115影视资源分享频道
@QukanMovie · 30,5352 posts万卷书屋/小说推荐/禁忌书屋
@wanjsw · 223,8092 posts纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 88,4662 posts互联网研习社(破解软件/游戏 | 实测)
@ruanjianfenxiang77 · 8,0031 post全能搜书|频道
@soushu456 · 4,2651 post樱の音
@yingdeyue · 4341 post
Names
Channels on the register whose handles appear in this channel's posts.
@ASMR86866 · 26,8784 postsAppinn Feed|小众软件
@appinnfeed · 33,3613 posts书墨资源
@shumozy · 20,7693 posts万卷书屋/小说推荐/禁忌书屋
@wanjsw · 223,8093 postsAPPDO的互联网记忆
@appdopic · 16,3462 posts币圈快讯
@btcnewsdaily · 4,7912 posts大聪明 破解软件分享频道
@dcmpj · 41,5182 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,4912 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,9922 posts小声逼逼
@me888888888888 · 50,8182 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 45,6252 posts115影视资源分享频道
@QukanMovie · 30,5352 posts频道索引&推荐
@recommend3 · 106,8492 posts安卓黄油の领域(转世重生ver)❤️
@thomasaua · 108,0622 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 22,6792 posts赛博忏悔室
@cyber_confessional · 40,1491 postFFQ Cloud 订阅|id分享中心
@ffqidfx · 6,8681 post音文拾光 🎵 精选小说音乐 分享推荐
@Flymirai · 24,3731 post电子书资源分享 📚
@KaiPanshare · 16,9121 post小红薯抽象观察
@rednote_ob · 3,0001 post999感冒灵 机场测评
@SAN9GML · 7,7741 postTK集库
@tkjiku · 24,6471 post折腾啥
@zhetengsha · 49,6751 post纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 88,4661 post
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“ App Store 限免应用 & ...” (@ooapps), 10,373 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/ooapps.
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.