Telegram RegisterThe public register of Telegram

Channel

成都星辰新人专用车库

@cdxcxrcku

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

53,964subscribers

+308 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001359453903
TypeChannel
Username@cdxcxrcku
Description车库经常被炸,部分人看不到老车库,特意新做一个 老车库更新不影响 ,(欧美地区看不了老车库) https://t.me/xingchencheku1
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cdxcxrcku

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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 why it has no browse page of its own yet.

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 word for word 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cdxcxrcku/3914 · this entry6 Aug 2026, 13:50 UTC@xinvchenbg/43406 Aug 2026, 13:52 UTC1.002 minutes
@cdxcxrcku/3917 · this entry6 Aug 2026, 14:10 UTC@xinvchenbg/43426 Aug 2026, 14:11 UTC1.00under a minute
@xinvchenbg/43466 Aug 2026, 16:22 UTC@cdxcxrcku/3921 · this entry6 Aug 2026, 16:22 UTC1.00under a minute
@xinvchenbg/43507 Aug 2026, 02:57 UTC@cdxcxrcku/3927 · this entry7 Aug 2026, 02:57 UTC1.00under a minute
@cdxcxrcku/3928 · this entry7 Aug 2026, 11:48 UTC@xinvchenbg/43517 Aug 2026, 11:49 UTC0.9572 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinvchenbg5 (5/5 hand-verifiable sample passed)0.99under a minutethis entry (41)

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. 1 of the 1 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 10 comparable posts for this entry, running 5 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @cdxcxrcku — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

53,65653,98853,8226 August 2026 — 53,656 subscribers7 August 2026 — 53,708 subscribers8 August 2026 — 53,806 subscribers9 August 2026 — 53,908 subscribers10 August 2026 — 53,944 subscribers11 August 2026 — 53,988 subscribers12 August 2026 — 53,964 subscribers53,9646 August 202612 August 2026
7 measurements spanning 5 days, net +308. 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 53,606–54,038 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 06:2253,964-24
11 Aug 2026, 07:5453,988+44
10 Aug 2026, 04:4053,944+36
9 Aug 2026, 05:5253,908+102
8 Aug 2026, 08:3053,806+98
7 Aug 2026, 09:5553,708+52
6 Aug 2026, 20:0553,656first reading

Engagement

22 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 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.40%
avg views ÷ 53,964 subscribers
Avg views / post
1,300
22 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
22
of 22 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held22 (5 August 202611 August 2026)
Views total28,545
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:14 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
2,160
Videos
208
Links
343

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.

Video runtime
23s
Average length
8s

Measured directly from 3 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.

Recent posts

11 Aug 2026, 08:21 UTC≈3,650 viewsread 12 August 2026
Video

💎红楼阁——高端会所💎 🌟主营-95半套-98全套-98海选 ❤️高端全套大海选 一排一排的选 氛围感拉满 选满意在玩【质量相当于有外围中圈和中大圈】 ✅自家高端95半套店 不冲卡 单次消费 没有隐形消费 高质量 服务有保障 每天在线30➕选满意在消费 有免费小吃 泡澡 凌晨后可留宿 ❤️全城也可以给你安排 高端95半套-98全套 会所宗旨:诚信经营服务至上、让你乘兴而来满意而归 📣狼友评价:@BBmOGY9 📛🫠🫠🫠:@BmOGY9 📛😪🫠🤗:@MBmOGY9 ☎️ : 19280903022 🪨 : ccvip2026 ✈️ : @aofeng567 🤖 : @CDHonglou_bot 😀😃😄😆

11 Aug 2026, 04:06 UTC551 viewsread 12 August 2026
Photo

📊 2条车评 写报告 好评 100% 中评 0% 差评 0% 成都星辰楼凤修车车库 【编号】 #XC857 【花名】 #小宝 【车牌】 @eggdc15 【地址】 #东郊记忆 【标签】 #成都 #成都修车 #成都楼凤 #成华区 #御姐车 #态度车 #大奶 #符文 #代聊 #6P 【硬件】身高160cm,体重105斤,胸D,年纪24岁,正常肤色有点干,身上纹身稍多,人工白虎水多较紧日感好毛多。 【软件👏👏】乳胶,制服,浅蛇,无套吹箫,舔批,爱爱。 【课费】600/50 1000/90 #6/10 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:软件: 8.5分 硬件: 8.5分 ,综合: 8.5分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 异域风情御姐,人照相符,态度不错聊天不冷场,天然大D手感好,人工白虎剃的干净,水多包裹

11 Aug 2026, 03:54 UTC≈2,040 viewsread 12 August 2026
Photo

🎯【娜娜送礼】 🎁 奖品: 🏆 一等奖 × 1 🏆 二等奖 × 3 📅 开奖时间:2026-08-12 00:30:10 📜 活动说明: ❗️ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 一等奖 单p白嫖 × 1 💰️ 二等奖 星辰积分1000 ×3 ⚠️ 抽奖说明: ❗️开奖前需要设置好自己的用户名; ❗️中奖后一周内找抽奖人兑奖或者预约时间,过期不兑换,口令24小时兑奖 ❗️炸号不予兑奖或者 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 注意 积分找 jax加分,其他找发奖人 @xcbggj_bot ⚠️ 必须加入全部: ✅ 成都星辰修车 楼凤群(搜附近找老师) ✅ 成都星辰新人专用车库 ✅ 娜娜的小窝 💡 发送口令:「 娜娜送礼 」

11 Aug 2026, 03:51 UTC411 viewsread 12 August 2026
Photo

📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 成都星辰楼凤修车车库 【编号】 #XC924 【花名】 #小卢 【车牌】 @xxl8989 【地址】 #省骨科医院 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #嫩妹车 #态度车 #大长腿 #蛇蛇精 #身材车 #排骨精 #女友感 #代聊 #8P #颜值车 【硬件】身高172cm,体重94斤,胸B,年纪19岁,皮肤偏黄黑无纹身,馒头逼,毛量少,水多很紧。 【软件👏👏】鸳鸯浴,🐍吻,无套吹箫,深喉,舔批,爱爱。 【课费】800/50 1300/90 #8/13 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 8.8分 颜值: 9.0,身材:8.8 ,综合: 8.8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 颜值嫩妹,人照相符,极致排

11 Aug 2026, 03:51 UTC405 viewsread 12 August 2026
Photo

成都星辰楼凤修车车库 【编号】 #XC923 【花名】 #南湘 【车牌】 @NX2002a 【地址】 #高升桥 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #御姐车 #颜值车 #态度车 #大长腿 #身材车 #冷白皮 #颜值车 #一线天馒头逼 【硬件】身高170cm,体重88斤,胸C-,年纪26岁,冷白皮,一线天馒头,毛多,紧,包裹感强。 【软件👏👏】鸳鸯浴,无套吹箫,漫游,毒🐉,👅胸,👅🥚,爱爱。 【课费】900/60 1400/90 #9/14 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 9.5分 颜值: 9.6,身材:9.5,综合: 9.6分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 颜值御姐,人照相符,极品身材,细腰翘臀,浑身无赘肉,大长腿,皮肤白皙,手感纵享丝滑、白皙紧致,胸C-手感好,乳头小,态度好,服务好

11 Aug 2026, 02:08 UTC466 viewsread 12 August 2026
Photo

成都星辰楼凤修车车库 【编号】 #XC922 【花名】 #维C 【车牌】 工兵未接完 【地址】 #大天路 【标签】 #成都 #成都修车 #成都楼凤 #成华区#嫩妹#态度车#颜值车 【硬件】18岁妹妹。身高163cm,体重100斤,小麦色肤色。胸B+柔软圆润。胸部附近有些胎记。蝴蝶逼逼,外褐里粉,又紧又湿。 【软件👏👏】洗,口,啪啪,浅吻,炫逼,亲胸 【课费】600/50 1200/90 #6/12 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 9分 颜值: 9,身材:9 ,综合: 9分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 颜值嫩妹,人照相符,身材匀称微微胖。态度和性格很好,全场不冷场。听话配合。 瑕疵: 胸部附近有些胎记 同价格对比: 嫩妹,有态度,性格好。微微胖有肉。健谈不冷场,情绪价值拉满。值得推荐 #妹妹原价600

10 Aug 2026, 02:31 UTC777 viewsread 12 August 2026
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成都星辰楼凤修车车库 【编号】 #XC921 【花名】 #茉莉 【车牌】 @moolillll 【地址】 #东郊记忆 【标签】 #成都 #成都修车 #成都楼凤 #成华区 #嫩妹车 #大长腿 #身材车 #萝莉 #冷白皮 #邻家妹子 #女儿感 【硬件】身高162cm,体重90斤,胸B+,年纪19岁,冷白皮,毛多,紧度刚好,湿度大,小蝴蝶,粉嫩。 【软件👏👏】嫩妹三件套+69。 【课费】700/60 1200/90 #7/12 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 8.5分 颜值: 9,身材:8.5,综合: 8.7分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 萝莉嫩妹,邻家妹妹,人照相符,从背后看,腰细屁股翘,腰部无赘肉,大长腿,皮肤白皙,手感嫩滑紧致Q弹,胸B+手感好,乳头粉嫩,rua起来很舒服,态度好,毛多,水多,包裹感强,阴

9 Aug 2026, 17:34 UTC482 viewsread 10 August 2026
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成都星辰楼凤修车车库 【编号】 #XC866 【花名】 #柳如烟(工作室) 【车牌】 @ciuz1 【地址】 #武侯区 【标签】 #成都 #成都修车 #成都楼凤 #态度车 #大长腿 #颜值车 #服务车#大胸 #御姐 【硬件】身高168cm,体重60,e, 【软件👏👏】三件套 爱爱🐍 胸推 【课费】#8 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】综合: 8.7分。 【新人锐评】 (含优点和瑕疵) 优点: 身材好 大长腿 总结:(200字左右) 老师相处氛很好很自然,会聊天。下面紧,大屁股 适合狼友类型: 适合喜欢身材控,bbw 【评价者】: @jhk 【折扣】:#星辰VIP会员上课最低5折, 报告:@cdxcbg1 聊天大群:@cdxcclub 投诉、上牌联系: @xchen1_bot 大群输入“老师名字”或“用户名”可查详细报告 🔥【kiss外围】@kiss66

9 Aug 2026, 17:03 UTC≈2,520 viewsread 10 August 2026
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🎯【娜娜送礼】 🎁 奖品: 🏆 一等奖 × 1 🏆 二等奖 × 3 📅 开奖时间:2026-08-12 00:30:10 📜 活动说明: ❗️ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 一等奖 单p白嫖 × 1 💰️ 二等奖 星辰积分1000 ×3 ⚠️ 抽奖说明: ❗️开奖前需要设置好自己的用户名; ❗️中奖后一周内找抽奖人兑奖或者预约时间,过期不兑换,口令24小时兑奖 ❗️炸号不予兑奖或者 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 ❗️必须在星辰新人车库任一老师评论一句,加点赞。否则不予兑奖 注意 积分找 jax加分,其他找发奖人 @xcbggj_bot ⚠️ 必须加入全部: ✅ 成都星辰修车 楼凤群(搜附近找老师) ✅ 成都星辰新人专用车库 ✅ 娜娜的小窝 💡 发送口令:「 娜娜送礼 」

8 Aug 2026, 13:17 UTC724 viewsread 10 August 2026
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成都星辰楼凤修车车库 【编号】 #XC920 【花名】 #小财宝 【车牌】 @CDcaibao 【地址】 #东郊 【标签】 #成都 #成都修车 #成都楼凤 #成华区#态度车 #大长腿 #bbw #颜值车 #服务车#大胸#嫩妹 【硬件】身高160cm,体重110斤,小腹平坦, 【软件👏👏】三件套 爱爱🐍 【课费】#5 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:软件: 8分 硬件: 8.3.分 ,综合: 8.3分。 【新人锐评】 (含优点和瑕疵) 优点: 嫩妹 活泼 喜欢聊天 瑕疵: 服务偏少 同价格对比:开5合适 总结:(200字左右) 老师相处氛很好很自然,会聊天。下面紧,大屁股 适合狼友类型: 适合喜欢身材控,bbw 【评价者】: @ccd 【折扣】:#星辰VIP会员上课最低5折, 报告:@cdxcbg1 聊天大群:@cdxcclub 投诉、上牌联系

8 Aug 2026, 02:17 UTC785 viewsread 10 August 2026
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📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 成都星辰楼凤修车车库 【编号】 #XC919 【花名】 #亦可可 【车牌】 @kekemeizi 【地址】 #东郊记忆 【标签】 #成都 #成都修车 #成都楼凤 #成华区 #人照相符 #代聊 #御少车 #态度车 #身材车 #服务车 #逗比 #女友感 #颜值车 #一线天逼 #6/9 【硬件】身高160cm,体重90多斤,胸C,年纪25岁左右,皮肤嫩滑紧致,一线天逼,毛少,紧度一般,水多, 有纹身。 【软件👏👏】鸳鸯浴,kiss,过水,吸皮,口莎,胸推,臀推,阴推,无套吹箫,深喉,舔批,爱爱。 【课费】600/60 900/90 #6/9 (VIP可半价) 【优惠】无 【验证】 【综合评分】:态度/服务: 9分 颜值: 9.分,身材: 8.5,综合: 9分。 【新人锐评】 优点: 颜值御少,人照相符,细腰大屁股,腰部

8 Aug 2026, 02:17 UTC698 viewsread 10 August 2026
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成都星辰楼凤修车车库 【编号】 #XC918 【花名】 #泰妹Zara 【车牌】 @cdzara6 【地址】 #东郊记忆 【标签】 #成都 #成都修车 #成都楼凤 #成华区 #少妇车 #态度车 #蛇蛇精 #泰妹 【硬件】身高155cm,体重90斤,胸B,年纪27岁,白虎,懵醉仙逼,紧,包裹感强 (无纹身)。 【软件👏👏】鸳鸯浴,🐍吻,无套吹箫,深喉,舔批,爱爱。 【课费】500/50 900/90 #5/9 (VIP可半价) 【优惠】无 【验证】 【综合评分】:态度/服务: 9.8分 颜值: 7.5,身材:8,综合: 9分。 【新人锐评】 优点: 泰国少妇,AI照片,不会中文,可以英语交流,身材不能说很瘦,也不能说胖,腰部无太多赘肉,皮肤手感嫩滑紧致Q弹,胸B手感好,乳头深褐色,态度好,服务好,🐍吻真实自然,口活厉害,舌头会在鸡鸡上跳舞,懵醉仙逼,白虎,舔批无异味,批小很紧,包裹感极强,阴道很浅,日感爽翻天

Showing the 12 most recent of 22 posts we hold for @cdxcxrcku. 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.

Citation-graph rank

Citation-graph rank — 219,679 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Mentions

Named by 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“成都星辰新人专用车库” (@cdxcxrcku), 53,964 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cdxcxrcku.

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.