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Channel

折腾实验室频道

@TossLabChannel

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

18,140subscribers

+1,919 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-1002441821742
TypeChannel
Username@TossLabChannel
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/TossLabChannel

Topic

Technology — 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 97% 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.

Growth

16,22118,14017,180.56 August 2026 — 16,221 subscribers7 August 2026 — 16,240 subscribers8 August 2026 — 16,257 subscribers8 August 2026 — 16,274 subscribers9 August 2026 — 16,302 subscribers10 August 2026 — 16,333 subscribers11 August 2026 — 16,365 subscribers12 August 2026 — 16,401 subscribers13 August 2026 — 16,429 subscribers15 August 2026 — 16,479 subscribers16 August 2026 — 16,892 subscribers17 August 2026 — 17,004 subscribers18 August 2026 — 17,031 subscribers20 August 2026 — 17,061 subscribers20 August 2026 — 17,095 subscribers22 August 2026 — 17,144 subscribers23 August 2026 — 17,216 subscribers25 August 2026 — 17,255 subscribers26 August 2026 — 17,284 subscribers27 August 2026 — 17,319 subscribers28 August 2026 — 17,363 subscribers29 August 2026 — 17,417 subscribers30 August 2026 — 17,461 subscribers31 August 2026 — 17,491 subscribers1 September 2026 — 17,531 subscribers2 September 2026 — 17,568 subscribers3 September 2026 — 17,609 subscribers5 September 2026 — 17,640 subscribers9 September 2026 — 17,725 subscribers11 September 2026 — 17,768 subscribers13 September 2026 — 17,814 subscribers15 September 2026 — 17,847 subscribers17 September 2026 — 17,881 subscribers19 September 2026 — 17,936 subscribers27 September 2026 — 18,140 subscribers6 August 202627 September 2026
35 measurements spanning 52 days, net +1,919. 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 15,933–18,428 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
27 Sept 2026, 01:1518,140+204
19 Sept 2026, 17:3617,936+55
17 Sept 2026, 06:2017,881+34
15 Sept 2026, 04:0017,847+33
13 Sept 2026, 09:4017,814+46
11 Sept 2026, 15:4017,768+43
9 Sept 2026, 02:0017,725+85
5 Sept 2026, 17:1917,640+31
3 Sept 2026, 13:5417,609+41
2 Sept 2026, 04:3317,568+37
1 Sept 2026, 05:1717,531+40
31 Aug 2026, 03:2617,491+30
30 Aug 2026, 06:2417,461+44
29 Aug 2026, 07:5517,417+54
28 Aug 2026, 05:0717,363+44
27 Aug 2026, 03:0417,319+35
26 Aug 2026, 00:4217,284+29
25 Aug 2026, 02:4917,255+39
23 Aug 2026, 20:4417,216+72
22 Aug 2026, 06:4717,144first reading

Engagement

55 posts held, back to 1 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 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.9%
avg views ÷ 18,140 subscribers
Avg views / post
1,980
10 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
10
of 55 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 8 of 10 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 3 September 2026
Posts held55 (1 July 2026 – 3 September 2026)
Views total19,798
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:13 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.

Reaction mix

129 reactions across 43 posts, in 8 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8666.7%
👍2720.9%
👏53.88%
💩53.88%
🤔32.33%
👎10.775%
😁10.775%
🥰10.775%

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 55 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 1 July 2026 to 3 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.

Recent posts

3 Sept 2026, 00:35 UTC708 views1 reactionsread 3 September 2026
Photo

#AI工具 #软著申请 #效率工具 一键自动化生成软著全套材料的 AI 申报提效助手 🌟 简介 专为独立开发者与软件团队打造的自动化软著申请辅助工具 📖 使用说明 选择目录与自动提取:配置好大模型 API Key,打开软件选中目标项目文件夹,AI 自动扫描项目架构并提炼软著申报所需的基本要素 核对申报与软件信息:在“申请表”与“软件信息”页面快速浏览 AI 提取的内容,根据实际申报诉求调整 一键导出合规源码:切换至“源代码”页面,点击生成按钮,系统自动遵循规范格式排版生成完整的源码 PDF 完善图文操作手册:在“操作手册”页面校对 AI 自动生成的说明文档,搭配内置截图工具截取应用界面并自动插入,丰富操作配图以大幅提升初审通过率 👉戳此下载 🔘 @TossLab 🔘 @TossLabChannel

👍1

2 Sept 2026, 08:46 UTC≈1,100 viewsread 3 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6787263594

Signed 极搜🔍资源搜索@JISOU

2 Sept 2026, 08:46 UTC≈1,120 views3 reactionsread 3 September 2026
Photo

#QQ空间 #数据备份 #数字遗产 离线归档 QQ 空间全部青春回忆的开源利器 🌟 简介 近期抖音流行的专为拯救与留存青春回忆打造的 QQ 空间全量数据归档备份工具,用于保存历史动态、照片、视频和互动记录,可以将数据以 SQLite 存储在本地,并导出 HTML 离线浏览。 📖 核心功能 • 全要素深度备份 • 精美本地静态网页还原 • 扫码安全登录与断点续传 👉戳此下载 🔘 @TossLab 🔘 @TossLabChannel

❤3

31 Aug 2026, 13:54 UTC≈1,930 views2 reactionsread 3 September 2026
Photo

#电子教材 #人教版 #教育资源 人教版中小学电子教材批量下载工具 🌟 简介 开学了,安排一个专为学生、教师及家长打造的开源人教版电子课本与教学资源下载工具。 📖 使用方式 下载压缩包,解压缩后运行FreePEP.exe,在弹出的Web页面里面操作下载。 🔘 @TossLab 🔘 @TossLabChannel

❤1👍1

30 Aug 2026, 04:01 UTC≈2,450 views2 reactionsread 3 September 2026

#频道互推 #群组推荐 汉堡TG公益代理|订阅节点分享 QQ资源岛软件 利器软件工具与开源项目 资源分享客栈-分享各种东西 小新の资源库|实用软件工具 深度 好文 (付费文章共享) 机场订阅节点VPN分享社 🅥 折腾IOS内测|限免频道 精选壁纸美图|风景美人acg 电报频道&群组索引

💩2

Signed 喵喵互推

30 Aug 2026, 01:02 UTC≈2,600 views1 reactionsread 3 September 2026
Photo

#音乐下载 #飞牛 Musicdl轻量级无损音乐下载器 🌟 简介 最近飞牛官方飞牛音乐正式上线了,有没有友友苦于本地没有足够多的本地音源,这就为大家准备上音乐下载器,支持多个音乐平台。 此外,考虑很多群友嫌部署麻烦的,也为大家准备上了网页端及TG_BOT 👉下载1 👉下载二 👉下载三 👉TG-bot 近年来随着版权因素,此类下载网站倒了一大片,且用且珍惜,若有好的网站大家也可在评论区分享❤️ 🔘 @TossLab 🔘 @TossLabChannel

❤1

30 Aug 2026, 00:30 UTC≈2,370 viewsread 3 September 2026

贴主在网上冲浪时,发现一个奇葩项目,只能说见过做开源整合工具的,没见过这么抽象的项目。项目主旨是 提供不同模型厂家免费API,结果上车需先买票,点开价格表一看直接傻眼:年费 $20,终身买断 $49。把各家公测免费额度与体验通道包装成“多模型聚合”,本质不外乎就是公开免费 API 套了个鉴权代理层,这价格真不如看看低倍率中转站🤣

29 Aug 2026, 13:05 UTC≈2,550 views3 reactionsread 3 September 2026
Photo

#VPN #GitHub #免费节点 #VLESS #VMess #Trojan #Shadowsocks #Hysteria #代理 🫡 免费 VPN 节点合集,自动更新⁠ 📌 项目介绍 简单来说,就是把网上公开的几十万台服务器免费节点集中整理起来,提供订阅链接直接导入客户端。 支持 VLESS、VMess、Trojan、Shadowsocks、Hysteria、Reality 等协议,并提供多组订阅源。 项目通过 GitHub Actions 自动更新节点,适合临时使用或测试不同线路。 🛠️ 支持客户端 支持 v2rayN、v2rayNG、NekoRay、V2Box、Hiddify 等常见客户端。 ⚠️ 温馨提醒 免费节点来源公开网络,稳定性和安全性无法保证,不建议用于登录银行、支付等敏感操作。 🔘@TossLab 🔘@TossLabChannel

❤3

Signed Steven Lee

29 Aug 2026, 08:43 UTC≈2,360 views3 reactionsread 3 September 2026
Video

#AI #卫星遥感 #开源探索 油管挺火的的“上帝视角”三维实景重建 🌟 简介 最近油管挺火的三维实景重建,突破传统卫星二维地图与粗糙航拍网格的限制,结合 3D Gaussian Splatting(3DGS)与神经渲染技术,将卫星影像与航拍数据转化为照片级逼真、可实时漫游的宏观三维实景空间。 📖 核心功能 大尺度 3DGS 神经重建:支持输入卫星与倾斜航拍数据 电影级交互运镜漫游:支持轨道环绕与低空极速俯冲,实现从太空俯瞰至街区近景的无缝过渡 轻量级前端流畅渲染 🔘 @TossLab 🔘 @TossLabChannel

🤔3

28 Aug 2026, 12:32 UTC≈2,610 views5 reactionsread 3 September 2026
Photo

#PDF #开源 #自托管 #Docker #OCR 📄 Stirling PDF:开源 PDF 全能工具箱⁠ 一个开源的 PDF 在线处理工具,GitHub 9万+ Stars。 支持 PDF 合并、拆分、压缩、转换、OCR、加密、签名、加水印、页面编辑等几十种功能。 支持 Docker 自托管,文件可以在自己的服务器上处理,不用上传第三方网站,适合个人和团队使用。 🔘@TossLab 🔘@TossLabChannel

❤5

Signed Steven Lee

27 Aug 2026, 11:41 UTC≈2,890 views1 reactionsread 3 September 2026
Photo

#AI视频 #短视频博主 #短视频 #OpenMontage #AI工具 🎬 OpenMontage:让 AI 自动帮你做完整视频⁠ 项目目前已获 约 6.3 万 Star,是一个开源的 AI 视频制作系统。 它可以让 Claude Code、Cursor、Copilot、Windsurf、Codex 等 AI 编程助手直接负责视频制作,从选题研究、脚本创作、素材生成,到配音、字幕、剪辑和最终渲染,一套流程自动完成。 目前提供 12 条视频生产流水线、100+ 工具以及 700+ AI 技能与制作知识文件,还支持接入本地 ComfyUI,用自己的 GPU 生成图片和视频。 🔘@TossLab 🔘@TossLabChannel

❤1

Signed Steven Lee

26 Aug 2026, 16:18 UTC≈3,120 views4 reactionsread 3 September 2026
Photo

#闲鱼 #自动化 #开源项目 #Docker #数字商品 🐟 开源闲鱼助手:支持多账号、自动回复和自动发货⁠ 一套开源的闲鱼自动化管理工具,适合多账号运营和数字商品卖家。 🛠️ 主要功能 · 多账号统一管理 · 自动回复、AI客服 · 数字商品/卡密自动发货 · 商品批量发布、同步 · 订单、库存、营收数据统计 · 支持 Telegram、飞书、钉钉、企业微信等通知 · 支持 Docker Compose 部署 ⚠️ 注意 项目使用闲鱼网页端非公开接口,存在账号风控风险,使用前自行评估。 🔘@TossLab 🔘@TossLabChannel

❤4

Signed Steven Lee

Showing the 12 most recent of 55 posts we hold for @TossLabChannel. 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

@TossLabChannel 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
18 August 2026
Most recent edit
18 August 2026

Forward network

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.

Mentions

Named by 2 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“折腾实验室频道” (@TossLabChannel), 18,140 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/TossLabChannel.

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.