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Channel

AI极客资源软件工具

@AIGeekAPP

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

34,628subscribers

-6,817 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002753601745
TypeChannel
Username@AIGeekAPP
Description专注分享各种高质量网站、高效实用应用、破解脚本工具、APP、开源项目与各种黑科技等一切好玩的东西🚀,以及偶尔开开车🚗 📮合作/反馈 @KL066 #AI #Android #IOS #Windowns #MacOS #APP #VPN #SEO #GitHub #极客 #破解 #软件 #插件 #脚本 #外挂 #游戏 #安卓 #苹果 #电脑 #源码 #代码 #搭建 #开发 #爬虫 #渗透 #劫持 #站长 #黑客 #区块链 #人工智能
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/AIGeekAPP

Topic

Software piracy — 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 96% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@kkaifenxiang/157427 Sept 2026, 05:00 UTC@AIGeekAPP/4767 · this entry7 Sept 2026, 05:00 UTC0.95under a minute
@kkaifenxiang/162787 Nov 2026, 03:11 UTC@AIGeekAPP/5201 · this entry7 Nov 2026, 03:12 UTC0.94under a minute
@kkaifenxiang/1587925 Sept 2026, 01:04 UTC@AIGeekAPP/4891 · this entry25 Sept 2026, 01:05 UTC0.94under a minute
@kkaifenxiang/1605215 Oct 2026, 07:11 UTC@AIGeekAPP/5020 · this entry15 Oct 2026, 07:11 UTC0.94under a minute
@kkaifenxiang/157073 Sept 2026, 06:45 UTC@AIGeekAPP/4739 · this entry3 Sept 2026, 06:45 UTC0.93under a minute
@kkaifenxiang/1589527 Sept 2026, 07:11 UTC@AIGeekAPP/4910 · this entry27 Sept 2026, 07:11 UTC0.92under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@kkaifenxiang44 (8/8 hand-verifiable sample passed)0.93under a minute@kkaifenxiang (44–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 44 of the 44 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 528 comparable posts for this entry, running 5 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_copy, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

34,62841,44538,036.57 August 202610 November 2026
63 measurements spanning 95 days, net -6,817. 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 33,605–42,468 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 17:5134,628-121
9 Nov 2026, 01:3634,749-131
7 Nov 2026, 17:1634,880-66
6 Nov 2026, 13:4934,946-55
5 Nov 2026, 14:0835,001-62
4 Nov 2026, 13:5635,063-157
3 Nov 2026, 15:4235,220-373
2 Nov 2026, 16:3935,593-36
1 Nov 2026, 13:2535,629-72
31 Oct 2026, 11:1135,701-75
30 Oct 2026, 10:0635,776-63
29 Oct 2026, 09:0635,839-50
28 Oct 2026, 09:4235,889-38
27 Oct 2026, 11:2535,927-44
26 Oct 2026, 12:1635,971-40
25 Oct 2026, 09:4636,011-43
24 Oct 2026, 12:5736,054-51
23 Oct 2026, 09:3136,105-55
22 Oct 2026, 07:2736,160-53
21 Oct 2026, 00:2036,213first reading

Engagement

579 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 183 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.3%
avg views ÷ 34,628 subscribers
Avg views / post
4,270
201 posts measured
Reaction rate
0.032%
reactions ÷ views · ER floor
Posts in window
201
of 579 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 22 of 201 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 November 2026
Posts held579 (5 August 2026 – 12 November 2026)
Views total858,885
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 06:53 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
≈2,970
Videos
≈478
Links
≈3,300

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Video runtime
11m 22s
Average length
17s

Measured directly from 41 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

54 reactions across 46 posts, in 6 distinct kinds. The most used accounts for 64.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3564.8%
❤1018.5%
🥰47.41%
❤‍🔥35.56%
👏11.85%
🔥11.85%

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 48 of the 579 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 579 most recent posts we hold, published 5 August 2026 to 12 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: 0 of 201 posts held from the last 30 days (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).

12 Nov 2026, 05:05 UTC15 viewsread 12 November 2026
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12 Nov 2026, 05:05 UTC39 viewsread 12 November 2026
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12 Nov 2026, 05:04 UTC9 viewsread 12 November 2026
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11 Nov 2026, 09:26 UTC≈3,150 viewsread 12 November 2026
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11 Nov 2026, 06:42 UTC≈3,220 viewsread 12 November 2026
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11 Nov 2026, 06:42 UTC≈3,520 viewsread 12 November 2026
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11 Nov 2026, 06:42 UTC≈4,800 viewsread 12 November 2026
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Showing the 12 most recent of 579 posts we hold for @AIGeekAPP. 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 recorded as deleted after publishing

We recorded 2 posts on @AIGeekAPP as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
33 hours
Seen missing in the last 30 days
1

Mentions

Named by 11 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“AI极客资源软件工具” (@AIGeekAPP), 34,628 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/AIGeekAPP.

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.