AI Agent makes private AI chat feel more continuous, personal, and responsive After binding your own OpenRouter API key, you can choose a character, enable memory, emotion, relationship progression, and selected tools https://telegram.me/AskifyAIBot/miniweb?startapp=agent Main Features * Choose a character for private AI chat * Remember useful conversation details * Adjust tone based on the current interaction * B…

Channel
CEC Board Channel
@CECBoard
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
114subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002448932414 |
|---|---|
| Type | Channel |
| Username | @CECBoard |
| Description | Connecting Every Corner is committed to creating more user-friendly Telegram bots @ConnectingEveryCornerBot |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/CECBoard |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 06:01 | 114 | no change |
| 7 Aug 2026, 17:35 | 114 | first reading |
Engagement
20 posts held, back to 16 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.9%
- avg views ÷ 114 subscribers
- Avg views / post
- 21.5
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 20 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.
| Window | Rolling 30 days · latest post in window 25 July 2026 |
|---|---|
| Posts held | 20 (16 May 2026 – 25 July 2026) |
| Views total | 129 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 06:01 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
- 52
- Videos
- 4
- Links
- 43
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
🛡 Askify AI Bot Feature Update Keyword Deletion now supports automatic muting for repeated violations When a user reaches the configured number of keyword-deletion violations within the selected time window, the bot will automatically mute them You can configure: • Enable or disable automatic muting • Number of violations required • Statistics window in days • Permanent or timed mute • Duration of timed mutes Th…
🎮 Two brand-new mini games are now available! 🐧 Penguin Slide Drag to steer your penguin down an Antarctic slope. Collect golden fish, launch off snow ramps, pass through ice gates, and dodge rocks and cracks. Chain clean gate runs together to earn bigger combo scores! https://t.me/AskifyAIBot?game=penguin_slide 🌟 Star Hop Hold to charge, then release to leap toward the next floating island. Master your timing, la…
🌈 Mind Spectrum · 16 Personality Types Answer 28 original scenarios to explore your E/I, S/N, T/F, and J/P preferences—and discover your closest four-letter personality type. View your personality profile, group-chat style, and preference percentages, then share the result with friends. Take the test: https://t.me/AskifyAIBot/miniweb?startapp=mind_spectrum
📜 Chinese Poetry Search is live Use /poem to discover, search, and browse Chinese poetry by keyword, author, title, content, or dynasty Examples: /poem /poem 明月 /poem author 李白 /poem all https://t.me/AskifyAIBot
🛡️ Channel Comment Moderation is now available Use AI to automatically detect and remove risky content from your channel discussion: • Ads and promotion • Traffic-diversion links • Insults and profanity • High-frequency spam • Repeated content Anti-spam runs locally in real time without AI calls. Triggered comments are deleted without muting the user. When AI moderation deletions exceed the threshold configured b…
AskifyAIBot now supports the /llmfit command Want to check whether your computer can run a local AI model before downloading it? Use /llmfit in @AskifyAIBot to quickly see which local models fit your hardware, including model name, fit level, score, estimated speed, runtime, recommended quantization, estimated memory, and context length. Examples: /llmfit qwen /llmfit ram 32 vram 12 cpu 12 /llmfit ram 32 vram 12 c…
🚀 New Feature Released | /pan Cloud Drive Search You can now use the /pan command directly in Askify AI Bot to search cloud drive resources. Format: /pan keyword Supported searches: 🎬 Movies 📺 Series 📚 Books 🎓 Courses 📁 Other resources Examples: /pan Interstellar /pan The Wandering Earth /pan Python course Each search result includes: ✅ Resource title ✅ Cloud drive label ✅ Extraction code, if required ✅ Open res…
🚀 @DMMakerBot Update This update improves the “First Suspicious Message Verification” system and helps prevent spam users from bypassing detection 🛡️ Previously, some spam users would send one or two normal-looking text messages first. After the bot marked them as trusted, they would continue sending channels, groups, @usernames, or promotional content 📢 As a result, spam messages could still be forwarded to the b…
🚀 New Feature: Auto Moderation Welcome Message Askify AI Bot can now automatically handle Telegram join requests for groups and channels. ✅ Automatically process join requests ✅ Send welcome messages via private chat ✅ Auto approve applicants ✅ Support image captcha verification ✅ Forward failed verifications to admins for manual review ✅ Reduce spam and improve community security Verification Modes • Direct…
🚀 telegram-download-bot A Telegram MTProto download-and-send-back bot built on top of tdl Simply send a Telegram message link to the bot, and it will use a logged-in Telegram user account to download the original content and automatically send back text, photos, videos, documents, or albums ✨ Features ✅ Receive Telegram message links through a Telegram Bot ✅ Download original content using a logged-in MTProto ac…
🤖 Post Bot A fully open-source Telegram bot for saving and reusing single-message resources. ✨ Features 📝 Save any Telegram message as a reusable resource 🖼 Supports text, photos, GIFs, videos, audio, documents, stickers, and more 📚 Manage resources with pagination ➕ Add URL buttons below resources 🔎 Quickly send saved resources via Inline Mode 🌐 English and Chinese interface support 📊 Track inline query and send …
Showing the 12 most recent of 20 posts we hold for @CECBoard. 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.
Mentions
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“CEC Board Channel” (@CECBoard), 114 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/CECBoard.
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.