奇怪的快感
🌭100😁27🤣8❤🔥5❤1🍓1🏆1💅1

Channel
@projectXtls
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
29,898subscribers
+269 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001408690055 |
|---|---|
| Type | Channel |
| Username | @projectXtls |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/projectXtls |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 03:54 | 29,898 | -2 |
| 5 Sept 2026, 20:36 | 29,900 | +42 |
| 3 Sept 2026, 19:38 | 29,858 | +8 |
| 2 Sept 2026, 11:33 | 29,850 | -2 |
| 1 Sept 2026, 08:25 | 29,852 | +3 |
| 31 Aug 2026, 07:44 | 29,849 | +19 |
| 30 Aug 2026, 07:04 | 29,830 | +4 |
| 29 Aug 2026, 05:24 | 29,826 | +8 |
| 28 Aug 2026, 08:53 | 29,818 | -4 |
| 27 Aug 2026, 06:23 | 29,822 | +19 |
| 26 Aug 2026, 08:05 | 29,803 | +10 |
| 25 Aug 2026, 05:43 | 29,793 | +15 |
| 24 Aug 2026, 03:43 | 29,778 | +3 |
| 22 Aug 2026, 09:07 | 29,775 | +8 |
| 20 Aug 2026, 20:35 | 29,767 | +9 |
| 19 Aug 2026, 18:02 | 29,758 | +10 |
| 18 Aug 2026, 16:38 | 29,748 | +13 |
| 17 Aug 2026, 17:28 | 29,735 | +4 |
| 16 Aug 2026, 14:36 | 29,731 | +15 |
| 14 Aug 2026, 19:08 | 29,716 | first reading |
32 posts held, back to 31 July 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 61 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 32 (31 July 2026 – 2 September 2026) |
| Views total | 116,280 |
| Reactions total | 1,155 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 01:25 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.
Measured directly from 1 video 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.
2,512 reactions across 32 posts, in 34 distinct kinds. The most used accounts for 34.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 860 | 34.2% | |
| 😁 | 483 | 19.2% | |
| 👍 | 274 | 10.9% | |
| 🌭 | 186 | 7.40% | |
| 🍌 | 159 | 6.33% | |
| ❤ | 114 | 4.54% | |
| 😈 | 64 | 2.55% | |
| 💅 | 35 | 1.39% | |
| 🔥 | 34 | 1.35% | |
| 💘 | 31 | 1.23% | |
| 🗿 | 31 | 1.23% | |
| 🤯 | 21 | 0.836% | |
| 🌚 | 20 | 0.796% | |
| 😍 | 19 | 0.756% | |
| 🤩 | 19 | 0.756% | |
| 🆒 | 16 | 0.637% | |
| 🎄 | 15 | 0.597% | |
| 👌 | 15 | 0.597% | |
| 💯 | 14 | 0.557% | |
| ❤🔥 | 13 | 0.518% | |
| 14 further kinds | 89 | 3.54% |
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 32 of the 32 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 2,512 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 31 July 2026 to 2 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @projectXtls. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 32 most recent posts we hold for this entry, published 31 July 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
奇怪的快感
🌭100😁27🤣8❤🔥5❤1🍓1🏆1💅1
华为翻墙有一种
🌭78🤣23😈5🗿2☃1❤1👌1💯1
Photo, posted without a caption
🤣68❤9😍6👏2🆒1
软件开源协议:mit mpl gpl 线路开源协议:reality
🤣87👍11😁8🏆7⚡3🗿2❤1
v2ray 开创了平台架构,但遗憾是事只做了一半、没顾及 endest user,在当时看来比较硬核、不够小白,早有配置文件订阅机制的话绝大多数新功能和优化等都会被 PR 给 v2ray 而不会被分散,或许就没后来者啥事了,不过生态的百花齐放总体上是好事,GFW 喝茶单个项目也没用,但集合多协议的缺点是它们实现协议可能只追求“能连上就行”、且不一定跟进最新实现,可能存在原协议并不存在的特征、牵连服务端 IP 被封
👍98🍌13🆒8❤🔥4❤2🎄2💅1🦄1
各位的锐评已经很多了,让我评价一下就是,可能从 end 但非 endest user 看来就是这样,只知道 SS 和破分流啥的,Surge 能被提到确实更是忠实信徒,我觉得吧分流等客户端侧各种功能倒不能说是没创新,有些功能的确是别人第一个写出来的也不能否认,只是这不是只要在写相关的代码就一定会写出来的东西吗?换任何人来早点开发不都一样?顶多是比谁出生更早、闻道有先后罢了,如果还有人看不懂的话,以物理来做个不是很贴合的比喻就像是上个世纪底层原理的爆发和这个世纪基础理论几近停滞但应用一大堆一样,这么多年了 Xray 给众人的实际感受就是前者而不是后者,后者等 288 刀吧
😁62🤣8👍6❤4🎄3😍3💅2🍌1
我的ip被标记了吗请问
🤣233🌚7💅6🤩4🍌3👌3😁3😎3
Photo, posted without a caption
🤣153🍌34❤5🗿4👍3🍓1💋1😁1
没看懂的或觉得整个 issue TLDR 的,给你们梳理了一下 https://github.com/2dust/v2rayN/discussions/9870#discussioncomment-17960790
🍌71😈58😁35🌭8💯4🌚3❤2🎄2
这次不小心写多了,就不完整复制到频道了 https://github.com/2dust/v2rayN/discussions/9870#discussioncomment-17950357
💘28💅10💋6❤3🌚2😁2
但凡卖 50 刀而不是 10 刀,洗脑用户这是 omakase,会有这种问题吗 再加上订阅制而非买断制,韭菜就不会有任何话语权,我必将严肃学习
🤣62😁9💅5😎2❤1🍾1
我曾经不会部署ss,那段时间里我时常抑郁,几度想了结自己的生命,但是在后来我接触到了艾教授,他是我人生中的一束光。让我找回了失去的自我。让我在生活中重新寻找到了爱与和平。让我在这个道貌岸然的世界中重新寻找到了一丝温暖。 一个不用ss的人这辈子都不能理解爱与和平,是一个身处资产阶级泥潭里永远惴惴不安的迷途羔羊。
🤣166😁16🗿10❤9🤯5👍4⚡2🍾2
Showing the 12 most recent of 32 posts we hold for @projectXtls. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
@projectXtls 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Project X Channel” (@projectXtls), 29,898 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/projectXtls.
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.