Telegram RegisterThe public register of Telegram

Channel

 App Store 限免应用 & ...

@ooapps

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

8,178subscribers

+160 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002657250966
TypeChannel
Username@ooapps
Description Limited-Time Free https://oodata.net
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/ooapps

Growth

8,0188,1788,0986 August 2026 — 8,018 subscribers6 August 2026 — 8,018 subscribers6 August 2026 — 8,031 subscribers9 August 2026 — 8,178 subscribers6 August 20269 August 2026
4 measurements spanning 4 days, net +160. 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 7,994–8,202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 23:378,178+147
6 Aug 2026, 13:518,031+13
6 Aug 2026, 03:048,018no change
6 Aug 2026, 01:538,018first reading

Engagement

111 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.77%
avg views ÷ 8,178 subscribers
Avg views / post
799
111 posts measured
Reaction rate
0.266%
reactions ÷ views · ER floor
Posts in window
111
of 111 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 89 of 111 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 12 August 2026
Posts held111 (5 August 202612 August 2026)
Views total88,657
Reactions total210
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:41 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
102
Videos
2
Links
9,220

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

195 reactions across 80 posts, in 5 distinct kinds. The most used accounts for 72.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍14272.8%
3115.9%
🔥126.15%
👏94.62%
👎10.513%

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 89 of the 111 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 210reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 111 most recent posts we hold, published 5 August 2026 to 12 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

12 Aug 2026, 04:42 UTC856 views7 reactionsread 12 August 2026

QR Forge - QR Code Creator 二维码生成器 #IAP #内购限免 https://apps.apple.com/app/id6762170209

👍41👎1👏1

12 Aug 2026, 02:03 UTC958 views2 reactionsread 12 August 2026

 Limited-Time Free Apps 08/11/2026 https://oodata.net/1542 Bluesky: https://oodata.net/u/bsky Twitter: https://x.com/o0data Reddit: https://reddit.com/r/ooapps Updates: https://apps.oodata.net Group: https://t.me/o0apps Boost: https://t.me/boost/ooapps oO Links: https://kee.so/oops

👍1🔥1

12 Aug 2026, 00:43 UTC935 views7 reactionsread 12 August 2026

FitRest: Sleep & Heart Tracker 睡眠与健康追踪 #IAP #内购限免 https://apps.apple.com/app/id6751546749 Redeem 限量兑换 https://apps.apple.com/redeem?id=6751546749&code=HEALTHYLIVING

👍61

12 Aug 2026, 00:35 UTC906 views3 reactionsread 12 August 2026

Watermelon Maestro 声音挑西瓜 #LTF #本体限免 https://apps.apple.com/app/id6794079050

👍3

12 Aug 2026, 00:23 UTC872 views2 reactionsread 12 August 2026

SignCloudNine: Signage 电视公告牌 [Apple TV] #LTF #本体限免 https://apps.apple.com/app/id6447579801

👍2

11 Aug 2026, 23:13 UTC894 views2 reactionsread 12 August 2026

AllSwipe: Swipe Photo Cleaner 相册通讯录清理器 #IAP #内购限免 https://apps.apple.com/app/id6761372644

👍2

11 Aug 2026, 18:16 UTC976 views3 reactionsread 12 August 2026

iCleanShot - For Lazy People 懒人相册清理 #LTF #本体限免 https://apps.apple.com/app/id6756064954

👍3

11 Aug 2026, 18:12 UTC952 views2 reactionsread 12 August 2026

Wachteroids 击碎小行星游戏 [Apple Watch,iOS] #LTF #本体限免 https://apps.apple.com/app/id6449465941

👍2

11 Aug 2026, 18:04 UTC934 views4 reactionsread 12 August 2026

University Notes 手写学习笔记 #LTF #本体限免 https://apps.apple.com/app/id6777402601

👍31

11 Aug 2026, 18:01 UTC923 views2 reactionsread 12 August 2026

Fun Speaking word spelling game 儿童英语拼单词游戏 #LTF #本体限免 https://apps.apple.com/app/id1410507137

👍2

11 Aug 2026, 17:50 UTC917 views2 reactionsread 12 August 2026

Stellar Photo Recovery 照片恢复应用 [macOS] #LTF #本体限免 https://apps.apple.com/app/id1460774889

👍2

11 Aug 2026, 17:38 UTC934 views2 reactionsread 12 August 2026

Forever Lost: Episode 1 HD 永远迷失: 密室逃脱解谜游戏 #LTF #本体限免 https://apps.apple.com/app/id542364897

👍2

Showing the 12 most recent of 111 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 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
12 August 2026
Most recent edit
12 August 2026

Citation-graph rank

Citation-graph rank — 79,891 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 21 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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“ App Store 限免应用 & ...” (@ooapps), 8,178 subscribers as measured 9 August 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.