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Channel
Lemaned的宝藏书屋(轻小说书库)
@Lemaned1314
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
19,458subscribers
+5,978 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 | -1003398741995 |
|---|---|
| Type | Channel |
| Username | @Lemaned1314 |
| Description | 分享各种有趣的轻小说 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/Lemaned1314 |
Topic
Literature — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 21:27 | 19,458 | +83 |
| 3 Nov 2026, 19:15 | 19,375 | +55 |
| 2 Nov 2026, 19:58 | 19,320 | +69 |
| 1 Nov 2026, 18:19 | 19,251 | +92 |
| 31 Oct 2026, 15:04 | 19,159 | +82 |
| 30 Oct 2026, 12:06 | 19,077 | +69 |
| 29 Oct 2026, 09:21 | 19,008 | +49 |
| 28 Oct 2026, 10:56 | 18,959 | +54 |
| 27 Oct 2026, 11:35 | 18,905 | +82 |
| 26 Oct 2026, 08:01 | 18,823 | +74 |
| 25 Oct 2026, 06:37 | 18,749 | +81 |
| 24 Oct 2026, 09:19 | 18,668 | +66 |
| 23 Oct 2026, 11:06 | 18,602 | +59 |
| 22 Oct 2026, 12:16 | 18,543 | +84 |
| 20 Oct 2026, 22:41 | 18,459 | +43 |
| 19 Oct 2026, 18:08 | 18,416 | +69 |
| 18 Oct 2026, 17:57 | 18,347 | +63 |
| 17 Oct 2026, 16:16 | 18,284 | +41 |
| 16 Oct 2026, 19:37 | 18,243 | +36 |
| 15 Oct 2026, 18:50 | 18,207 | first reading |
Engagement
257 posts held, back to 4 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 67 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.61%
- avg views ÷ 19,458 subscribers
- Avg views / post
- 702
- 34 posts measured
- Reaction rate
- 0.209%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 257 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 19 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 257 (4 August 2026 – 5 November 2026) |
| Views total | 23,876 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 15:13 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
- ≈10,600
- Links
- ≈2,360
Lifetime counters from Telegram’s own channel header, read 5 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.
Reaction mix
137 reactions across 84 posts, in 5 distinct kinds. The most used accounts for 48.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 67 | 48.9% | |
| 👍 | 53 | 38.7% | |
| 🥰 | 11 | 8.03% | |
| 🤮 | 4 | 2.92% | |
| ⚡ | 2 | 1.46% |
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 99 of the 257 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 141 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 257 most recent posts we hold, published 4 August 2026 to 5 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: 2 of 34 posts held from the last 30 days (5.88%) 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).
今日份深夜食堂!❤️ #深夜食堂 #Leria_V
#每日涩图
⭐️书名:报告女班长 🌟作者:#四件作品 💫平台:#Novelpia ⚡️链接:点击下载 ✨状态:#完结 简介: 我竟然被调到了一个全是女兵的部队。 这真的是“一人成军”吗? #韩轻 #现代 #日常 #欢乐 #后宫 #R18
👍1
⭐️书名:听说青梅竹马如果是我的话,什么都可以做 🌟作者:#ミンカンスキー 💫平台:#法兰西书院 ⚡️链接:点击下载 ✨状态:#完结 简介: 我听说如果是我的话,就连打手枪都可以——所以我试着拜托仄里一直陪我到正式开始! 与完全没有恋爱感情的青梅竹马的初次体验,是直到中出都OK的梦幻时光!渐渐沉溺在什么都能原谅我的青梅竹马的身体里...... 从图书馆Iramachio到学校厕所H,再到无法回头的偷拍!看来终于连危险日出发前都OK——这里决定了像男人一样! #日轻 #现代 #校园 #青梅竹马 #纯爱 #日常 #R18
❤1
⭐️书名:熟悉的你与陌生的记忆 🌟作者:#久遠侑 💫平台:#Fami通文库 ⚡️链接:点击下载 ✨状态:#完结 简介: 在梦中与不认识的少女相遇,两人还携手度日的幸成,某天来到自己从未到过的场所,却对这个地方感到莫名熟悉,并在这里遇见了梦中的那名少女一优羽子而她也说自己也曾在梦中与幸成相识。 就这样,为了确认两人似乎重叠的梦境,幸成与优羽子一同去了许多地方,不久后便坠入情网。 然而正当一切都非常顺利时,某天优羽子突然倒下,就此昏迷不醒。 #日轻 #现代 #校园 #悬疑 #纯爱 #日常
⭐️书名:失落的花园 🌟作者:#红玉伊月 💫平台:#Media Works文库 ⚡️链接:点击下载 ✨状态:#完结 简介: 广播社的活动室是她们四人隔绝外界的“秘密花园”。然而随着高三四季的更迭(春、夏、秋、冬四章分别以四人为视角),毕业的倒计时逼近,各自隐秘的家庭创伤、扭曲的恋爱、升学压力与同伴间的摩擦逐一爆发。这是一部描绘纤细易碎的少女们如何告别“乐园”、在刺痛中走向未来的残酷青春物语。 #日轻 #现代 #日常 #致郁 #群像
更新至第七卷
❤2
Neko Cloud-连接世界 保护您的隐私. 喵~欢迎加入Neko Cloud🎉 那就让我们先成为朋友吧🥰 🖥官网 💬群组 📣频道 全球线路随心选 隐私守护喵~ 🇭🇰香港 AWS 优化线路中转 🇭🇰香港 Hytron & Akamai 优质落地 流媒体 AI平台支持📦 不限设备不限速 无倍率套路🤨 VLESS高速协议 TLS支持❌ 喵~可爱又可靠的云服务 就在Neko Cloud💃 ⏲测速图 🔒解锁图 ----Neko Cloud运营团队
今日份深夜食堂!❤️ #深夜食堂 #Leria_V
#每日涩图
❤1👍1
➡️联系方式:@Lemanedbot ➡️资源搜索:@xswenkubot ➡️解压密码:Lemaned 🔴加入群聊:@Lemaned77 🔴我的主页:Lemaned.com 🔴推荐机场:Neko cloud
Showing the 12 most recent of 257 posts we hold for @Lemaned1314. 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 9 posts on @Lemaned1314 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
- 11 August 2026
- Most recent seen missing
- 2 September 2026
- Median time before seen missing
- 29 hours
- Seen missing in the last 30 days
- 0
Mentions
Named by 40 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 23 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.
@jianshanghui · 32,81712 postsGalgame分享频道
@xiaomenggalgame · 20,20310 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 38,9309 posts小声逼逼
@me888888888888 · 53,0257 postsPIXIV站每日 Top50搬运|动漫|ACG|二次元|每日精选图片|動漫|P站
@pixiv_top50 · 91,7447 postsNaruto 频道推荐 👍👍👍
@AChansp · 24,0546 posts来一点医学科学前沿🤯🤯🥹🥹
@CNSmydream · 14,4346 postsLIHAI 分享
@lihaiba · 39,3406 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 53,7926 posts折腾啥
@zhetengsha · 53,3326 posts免费资源
@freeresource · 27,6525 posts🐾东萝东萝教教教🐾
@Loli_File · 11,9335 posts115影视资源分享频道
@QukanMovie · 32,6735 posts【BGG】色图!好多色图!🥰
@BGG_SETU · 19,8634 postsgal新作和ai翻译分享
@galgpt · 16,1434 posts精选优质3d同人动画收藏
@r18mmd1 · 23,4404 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 25,1374 posts飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 63,7753 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 51,2613 posts落雨夜猫黄油频道2(重建版)
@nightcat_main_2 · 45,9363 posts书墨资源
@shumozy · 21,3183 posts电报搜索记录 | 消息搜索 | 大家都在搜什么
@soso_search · 4303 posts纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 100,3303 posts
Names
Channels on the register whose handles appear in this channel's posts.
@Lemaned7 · 4,319129 postsNeko Cloud
@NekoCloud2 · 5,19732 postsNeko Cloud(诚招AFF)
@NekoCloud1 · 3,63928 posts👣 Feet Soles 🔞 Anime 🐾
@isekai_foot_soles · 9,9496 posts奥术魔刃收藏屋-ASMR collection
@asmr_collections · 22,1925 posts【OCEBox】🔞黄油中心×每日更新
@oceboxa · 64,0795 postsGalgame分享频道
@xiaomenggalgame · 20,2035 posts五次元的鉴赏会 【二次元 涩图 游戏 足控】
@jianshanghui · 32,8174 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 38,9303 postsiOS破解游戏软件分享
@iOSAWJ · 44,4123 posts🐾东萝东萝教教教🐾
@Loli_File · 11,9333 posts二次元涩涩中转导航
@r18mmc · 9,5153 posts频道索引&推荐
@recommend3 · 106,9083 posts【NSFW🔞】WTM的二次元性欲广场(有牛头人涩图)
@WTM_ButterShop · 167,6093 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 25,1373 posts永不消逝的音声
@ASMR86866 · 31,1232 posts动漫|文件资源合集
@dongmanwenjian · 24,7082 posts电子书资源分享 📚
@KaiPanshare · 18,4222 posts App Store 限免应用 & ...
@ooapps · 11,8202 postsPIXIV站每日 Top50搬运|动漫|ACG|二次元|每日精选图片|動漫|P站
@pixiv_top50 · 91,7442 posts凝胶基♡触手培养皿
@tentacle_dish · 16,8292 posts[NSFW]SMALL FARM | Bunny Burrow (⁄ ⁄•⁄ω⁄•⁄ ⁄)
@xmslxmsl · 1,4852 posts折腾啥
@zhetengsha · 53,3322 posts纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 100,3302 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.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“Lemaned的宝藏书屋(轻小说书库)” (@Lemaned1314), 19,458 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Lemaned1314.
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.