Telegram RegisterThe public register of Telegram

Channel

ChatGPT 精选

@AwesomeChatGPT

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

14,764subscribers

+34 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-1001967944554
TypeChannel
Username@AwesomeChatGPT
DescriptionChatGPT 精选资源
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/AwesomeChatGPT

Growth

14,73014,76414,7476 August 2026 — 14,730 subscribers6 August 2026 — 14,730 subscribers7 August 2026 — 14,734 subscribers8 August 2026 — 14,740 subscribers9 August 2026 — 14,742 subscribers10 August 2026 — 14,744 subscribers11 August 2026 — 14,749 subscribers14 August 2026 — 14,764 subscribers6 August 202614 August 2026
8 measurements spanning 7 days, net +34. 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 14,725–14,769 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 02:3814,764+15
11 Aug 2026, 19:5214,749+5
10 Aug 2026, 17:1314,744+2
9 Aug 2026, 20:2114,742+2
8 Aug 2026, 18:5714,740+6
7 Aug 2026, 19:0114,734+4
6 Aug 2026, 23:4514,730no change
6 Aug 2026, 23:3314,730first reading

Engagement

18 posts held, back to 2 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 7 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
1,980
Videos
90
Links
1,790

Lifetime counters from Telegram’s own channel header, read 15 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
10m 55s
Average length
5m 28s

Measured directly from 2 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.

Reaction mix

72 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 94.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6894.4%
👍22.78%
💩11.39%
🤣11.39%

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 18 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 2 May 2026 to 7 June 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

7 Jun 2026, 00:56 UTC≈8,080 views32 reactionsread 15 August 2026
Forwarded from @dogdairy

一些我个人关于投资的思考笔记: 1) 在一开始做投资练习的时候,都是直觉的,盲目的。 哪怕查了资料,做了分析研究,其实也是虚假的,是不懂的。 这个时候赚到钱是运气,亏了钱是活该。 2) 一个基本原理是“不懂不投”,那怎样算懂? 你对谢霆锋和王菲的八卦是怎样的如数家珍; 对甄嬛传的每句台词和每个人物暗线是怎样的了然于胸; 对爱豆的成长史和背后的经纪公司纠纷是怎样的头头是道。 到这个程度就算是懂。 3) 这样的“懂”,需要的是长期的关注,思考,了解,追踪。 仅仅是用AI查一下,看了一点财报,甚至只是看了理财app里的介绍,都远远算不上懂。 4) 所以大多数人都是在盲投,哪怕是那些满嘴术语做了很长时间炒股的人,也有很多是在装懂。 5) 这样看来我对任何公司都不懂,咋办? 我应该放弃投资理财吗? 也不是。 虽然你现在不懂,但是你可以“开始懂” 6) 现在开始,学着以投资人的眼光去关注几个领域,几个公司。 跳出消费者视角,站在更高的位置去

32

Signed Eric Hi

7 Jun 2026, 00:32 UTC≈7,100 views3 reactionsread 15 August 2026
Forwarded from @githubtrending

#rust MXC is a sandbox system that runs untrusted code safely on Windows, Linux, and macOS with shared JSON settings and a TypeScript SDK. It helps you control files, network access, and UI use while giving you a safer way to test or run code; this can protect your computer and make automation easier to build. The project is still early preview, so its security rules are not yet final and should not be treated as fu

3

Signed Eric Hi

28 May 2026, 01:34 UTC≈7,620 views1 reactionsread 15 August 2026
Forwarded from @cndevdaily

readable.css 回到网页的本质——让内容清晰、舒展、可读。它不炫技、不添乱,用语义化样式实现极简一致的视觉体验。对重视写作与阅读的开发者而言,这是一次技术回归人性的漂亮尝试。https://readable-css.freedomtowrite.org/

1

Signed Eric Hi

9 May 2026, 01:28 UTC≈9,090 views15 reactionsread 15 August 2026
Forwarded from @aigc1024Photo

Anthropic 发布一篇《AI对劳动力市场的影响:一种新的衡量标准和早期证据》的研究报告 🔸 LLM 理论上能做很多工作任务 🔸 但现实中真正被用到的范围,远小于理论能力 🔵 蓝色:某职业中,LLM 理论上可以完成的任务占比 🔴 红色:根据 Anthropic 自己的使用数据推算,AI 实际覆盖到的任务占比 AI 最容易切进去的还是计算机、金融、办公、法律等知识工作;但目前实际使用程度还远没有达到理论上限,职业世界里存在很大的“可做”和“已用”之间的差距。 所以这图真正有意思的地方,不是“AI 已经替代谁了”,而是: → 能做 ≠ 已经在做 → 几乎所有职业里,红条都明显短于蓝条 → AI 的能力上限已经抬得很高,但真实落地还卡在很现实的问上。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

15

Signed Eric Hi

9 May 2026, 01:27 UTC≈6,640 views8 reactionsread 15 August 2026
Forwarded from @aigc1024Video

有人刚刚开源了一整家 AI 公司。147 个智能体。12 个部门。工程、设计、营销、销售、财务、QA、支持。每个智能体都有其角色、工作流和交付物。这不是一个聊天机器人。这是一个团队。 Claude Code, Cursor, Copilot, Gemini CLI, Windsurf。一条命令部署一切。始于一个 Reddit 帖子。88,000 个 Star。14,000 个 Fork 之后。MIT 协议。免费。 属于你。这本该价值每年 50,000 美元。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

8

Signed Eric Hi

9 May 2026, 01:26 UTC≈5,530 views2 reactionsread 15 August 2026
Forwarded from @aigc1024Photo

最近有两个非常出圈、非常牛逼的短剧: 一个是《Enemy》,一个是《吉时已到》,可以看看 热度爆表,制作效果也很好,成本不高 如果要做 AI 内容,或者说做 AI 短剧之类的内容的话可以把这两个剧当成暂时的质量标杆去对齐

👍2

Signed Eric Hi

9 May 2026, 01:26 UTC≈3,440 views2 reactionsread 15 August 2026
Forwarded from @aigc1024Photo

几行prompt,让你的DeepSeek v4 pro胜过Opus 4.7! X上看到有人分析了DeepSeek v4 pro在工具调用上出现的问题,好消息是这些错误不多且是有固定模式的,打个补丁就能有效改善。原作者说在他们自己内部的eval上,改良后的DS,10次中有6次胜过Opus 4.7。 因为我自己用的是Hermes,在不fork harness来改的情况下,我能动的只有system prompt。所以应该达不到原文中战胜Opus的程度,可能能打个平手吧。我让AI协助我梳理了一些在system prompting层就可以修改的点,可以直接放到你的agent里使用(经过Opus 4.7和Gemini两重校验): # Tool Calling Rules When calling tools, follow these rules strictly. They override any conflicting habit

2

Signed Eric Hi

9 May 2026, 01:26 UTC≈4,400 views0 reactionsread 15 August 2026
Forwarded from @aigc1024

3. **Strings are raw strings.** Do not wrap values in extra quotes, code fences, or markdown. 4. **Numbers and booleans are unquoted.** `30`, not `"30"`. `true`, not `"true"`. ## Paths and identifiers 5. **File paths, URLs, IDs, and similar fields go to system functions, not chat output.** Never format them as markdown links, never wrap them in backticks, never add explanatory parentheses. Correct: `"/Users/me/no

Signed Eric Hi

9 May 2026, 01:20 UTC≈3,080 views1 reactionsread 15 August 2026
Forwarded from @aigc1024Photo

之前搞的 agent 营销 cli 工具集,不完全列表,需要的自取😄 https://github.com/Bin-Huang/camoufox-cli#related

1

Signed Eric Hi

4 May 2026, 08:15 UTC≈3,540 views2 reactionsread 15 August 2026
Forwarded from @linuxdoitPhoto

豆包输入法Mac安装包 0.6.8(支持双拼) 更新的可体验内容: • 新增双拼输入,可在「设置-键盘输入」中选择小鹤双拼或自然码; • 新增自动空格,打字时中英、中数之间也可以自动添加空格; • 新增符号自动替换,可自动将数字之间的冒号和句号替换为英文标点; • 修复 CPU 占用过高的问题; • 修复「Shift + 数字」上屏内容错误的问题; • 修复「cmd + backspace」无法清空内容的问题; • 修复「全角输入」下无法输入空格的问题; • 修复「空格代替标点」时,语音句尾有多余空格的问题; • 提升打字流畅度,优化长短词跳变带来的闪烁问题。 微信输入法语音还是差点意思,还是豆包好用,这版最新支持了双拼。 这是最新的 Mac 端内测安装包(传到了 Notion,方便佬友下载):Notion Notion | Where teams and agents work together A collabor

2

Signed Eric Hi

4 May 2026, 00:53 UTC≈3,160 views1 reactionsread 15 August 2026
Forwarded from @githubtrending

#rust #ai #claude #cli #coding_agent #llm #mcp #openai #rust #terminal #tui jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install

1

Signed Eric Hi

4 May 2026, 00:29 UTC≈2,970 views0 reactionsread 15 August 2026
Forwarded from @githubtrending

#rust #cli #deepseek #llm #rust #terminal #tui DeepSeek TUI is a terminal-based coding agent that runs entirely in your command line, giving you direct access to AI-powered code assistance without needing separate software installations. It uses DeepSeek's advanced V4 model with massive 1-million-token memory, allowing it to understand and work with large codebases. The tool reads and edits your files, runs commands

Signed Eric Hi

Showing the 12 most recent of 18 posts we hold for @AwesomeChatGPT. 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 — 1,189,263 of 1,350,102entries 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

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.

Named by

Channels on the register whose posts name this channel's handle.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“ChatGPT 精选” (@AwesomeChatGPT), 14,764 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/AwesomeChatGPT.

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.