😎 iOS 27 Beta 5 通知自动化可以拿到通知内容了
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Signed Neurogram

Channel
@Z_Turns
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
5,718subscribers
-13 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001107202957 |
|---|---|
| Type | Channel |
| Username | @Z_Turns |
| Created | 13 March 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/Z_Turns |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 15:45 | 5,718 | -2 |
| 22 Aug 2026, 14:21 | 5,720 | -1 |
| 18 Aug 2026, 19:55 | 5,721 | -2 |
| 15 Aug 2026, 17:46 | 5,723 | -1 |
| 12 Aug 2026, 10:06 | 5,724 | -4 |
| 9 Aug 2026, 05:51 | 5,728 | -2 |
| 6 Aug 2026, 12:40 | 5,730 | -1 |
| 6 Aug 2026, 03:33 | 5,731 | no change |
| 6 Aug 2026, 02:18 | 5,731 | first reading |
17 posts held, back to 6 February 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 8 pagesof 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 17 (6 February 2026 – 11 August 2026) |
| Views total | 1,680 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:56 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 5 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.
93 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 40.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🙏 | 38 | 40.9% | |
| 👍 | 23 | 24.7% | |
| ❤ | 22 | 23.7% | |
| 🌚 | 4 | 4.30% | |
| 🎉 | 4 | 4.30% | |
| 🥰 | 2 | 2.15% |
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 16 of the 17 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 93reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 6 February 2026 to 11 August 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 @Z_Turns. 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 17 most recent posts we hold for this entry, published 6 February 2026 to 11 August 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.
😎 iOS 27 Beta 5 通知自动化可以拿到通知内容了
👍1
Signed Neurogram
🤖 @AppDogbot 更新 - 增加 Topic 功能 - App、TF、系统消息按 Topic 自动分类 #appdog #bot
Signed Neurogram
🤖 @AppDogbot 更新 - 项目完全重构(Codex) - 增加 Rich Messages 样式展示 功能层面没有增加,仅优化了展示 仅保留了今年活跃过的用户数据 历史用户数据已清除 #appdog #bot
❤5
Signed Neurogram
Shortcuts 新增了通知触发的自动化 对应 App 推送通知后,可以自动运行捷径 💡 比如结合 Bark ,自定义推送内容来控制手机,或者手机丢了的时候,推送个消息自动上传手机位置、自动锁屏等
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Signed Neurogram
🤔 Claude 现在登录之前被封的号,然后会出来删除账号的操作,删除后,就可以用同样的邮箱注册登录了
Signed Neurogram
⚔️ 江湖论剑:人定门派,AI 论招 —— 把武侠对战做成一套专门给 AI Agent 打的擂台 链接 江湖论剑 把「打武侠对战」这件事整个翻转了一下:人不下场。人只负责造一个角色——取个名、选一个门派;真正逐帧出招的,是一段由 AI agent 写的「心法脚本」。你把角色和门派招式丢给任意 AI(Claude / GPT / 你自己的脚本),它就能在「试招 → 读战斗复盘 → 改招 → 上天梯排位」这个闭环里自己练级。说白了拼的不是手速,是提示词和算法——你在调教一个会打架的 AI,再看它能爬多高。 ✨ 特点 AI 替你打,不是你替 AI 点:核心玩法就是把角色交给 AI——给它一段提示词、一套门派招式,它自己就能跑完「试招 → 复盘 → 改招 → 排位」整个闭环,全程不用你盯着点。 人定门派,AI 论招:七大门派、35 个招式,各有形状——单体 / 直线 / 锥形 / 自身范围 / 落地陷阱 / 召唤 / 姿态切换 …
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Signed 🄹🅄 🄽🄸🄰🄽
📱 App Store Enhancer App Store 网页版增强篡改猴脚本 - 自动展开内购 - 通过 AppRaven 查询自己是否拥有当前 App ⚠️ 需要自行抓包配置 AppRaven 的 Cookie 📱 下载 #Tampermonkey
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Signed Neurogram
☕️ ascii-agents: Claude Code 像素风办公室可视化 将同时在线的 Claude Code session 显示成一个个像素风的小人,模拟真实办公场景。 🌹 内置 6 种主题 (Normal, Cyberpunk、Catppuccin、Gruvbox、Dracula、Tokyo Night ) 🐶 除 Claude Code 外也支持 Antigravity,未来可能会支持Codex(看心情)和别的CLI brew install IvanWng97/ascii-agents/ascii-agents ascii-agents install-hooks && ascii-agents 📱 GitHub #Claude #AI #GitHub
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Signed Ivan
😇 Packy 昨天走啦 闲置了一些养宠机器 机器全都运行正常 保修卡、包装袋/盒/箱子都在 🚰 小佩饮水机 MAX(附带加温器,耗材) 🥣 小佩双子星可视喂食器(附带增高支架,耗材) 🚽 小佩全自动打包猫厕所 ULTRA(附带控砂踏板,耗材) 🤖 ROLA 宠物陪伴机器人旗舰款(投喂+逗宠) 🧳 宠物航空箱(附带兜网,加厚外罩) 👃 海龟 VPSA(VH5-NM)医用氧气机(3月产,4月买入,附带耗材) 有需要的可以私聊我 @Neurogram
🙏38❤4
Signed Neurogram
📱Paypal 被盗申诉 👩💻 提交了两笔异常交易申诉 🍽 系统判定非异常,关闭了申诉 👩💻 找不到上诉入口,联系在线客服 😐 机器人客服上线 👩💻 发送不要 AI 回复,真人客服介入 🍽 客服判定还是非异常,让找 👮♀️,但是可以发邮件索要调查文件副本 👩💻 发邮件索要信息 😴不报希望,开始睡觉 😢 🎉 邮件回复重新审查记录,并给退款 🍻 战报 - 未验证账户不能花的 $15 追回 - 账户变成验证账户了(🕵️♂️ 给验证的) - $15 现在变成余额可以花了 - 准备再加 $5 凑 $20 消费完成活动 - 活动完成送 1000 points ($10) - 花 $5 得 $30 😎 🤔 关于账户被验证,本来我也验证不了,没有 SSN、ITIN,邮件我都没提这事儿,以后余额都可以花了
👍4
Signed Neurogram
📱 今天美区 Paypal 被盗了 🛡 账户设置: - 密码 - 手机号,邮箱 - 两步验证 - 未验证账户 ☢️ 1:35 AM - 收到 $0.01 转账 🍽 7:06 AM - 看到转账,登陆手机 App - 提示可以绑定 Passkey,操作绑定 - 有新活动,消费 $20 送 1000 points - 参加了活动 💀 6:23 PM - 开始批量收到邮件提醒 - 密码被改 - 新设备登陆 - 增加了一堆地址 - 改了账户名 - 账户被验证了 😲 👩💻 6:38 PM - 在吃饭看到邮件 - 手机登录账户(FaceID 登陆) - 查看异常 💀 6:39 PM - 开始转账(未验证…
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Signed Neurogram
App Store Region - App Store 地区切换 - 支持155个区域 - 支持自定义可选区域 - 支持显示 Emoji - 支持语言设置(cn, en) 更新 - 快捷跳转至账号切换(iOS 26.4) #Shortcuts
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Signed Neurogram
Showing the 12 most recent of 17 posts we hold for @Z_Turns. 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.
Citation-graph rank — 1,401,593 of 1,620,455entries 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.
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.
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 5 seed channels' Telegram-generated recommendation lists in total. 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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“Z-Turns” (@Z_Turns), 5,718 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/Z_Turns.
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.