It's finally working.
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Channel
@Falken_Devlog
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
66subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002419842963 |
|---|---|
| Type | Channel |
| Username | @Falken_Devlog |
| Created | 12 November 2024 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/Falken_Devlog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 06:03 | 66 | +1 |
| 15 Aug 2026, 09:09 | 65 | +1 |
| 10 Aug 2026, 03:02 | 64 | no change |
| 7 Aug 2026, 18:20 | 64 | first reading |
14 posts held, back to 12 November 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 4 February 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 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.
24 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 45.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 11 | 45.8% | |
| 🔥 | 8 | 33.3% | |
| ❤ | 4 | 16.7% | |
| 😍 | 1 | 4.17% |
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 6 of the 14 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 12 November 2024 to 4 February 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.
It's finally working.
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Hello everyone, To the users of @HyperTAG_bot, From January 8, 2026 until now (over two weeks), internet access in Iran has been severely disrupted due to widespread protests and government-imposed restrictions, and the situation is still ongoing. Unfortunately, this has made it impossible for the bot to stay online or send updates. I understand that this interruption may have caused inconvenience, and I sincerely ap…
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🚀 HyperTAG v1.1.0 Changelog ➡️ Start Using HyperTAG Now! ✨ What's New? - New Tag Generation Methods: Added support for OpenAiCompatible APIs & Ollama for tag generation. - Dynamic Thread Allocation: Ollama's thread count is now dynamically calculated with the formula floor(totalCores/2). - Enhanced Summarization: Integrated the sanitize-html library and optimized the system prompt for shorter summaries in posts …
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HyperTAG v1.1.0 is released! 🎉 You can access it from @HyperTAG_bot github.com/Mostafa-Abbasi/HyperTAG/releases/tag/v1.1.0 #HyperTAG
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Demo: Tag & Summary Generation For a Channel Post (Channel is Connected To HyperTAG) Example Channel That is Using HyperTAG 💡It's Useful When: 1️⃣ You want a quick summary of your posts - It generates a summary from the First link (even if it's a YouTube video link), giving your audience a clear overview of the content for better engagement 2️⃣ You need relevant tags for better discoverability and organization of…
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Demo: Tag Generation For a Channel Post (Channel is Connected To HyperTAG) Example Channel That is Using HyperTAG 💡It's Useful When: You're a channel admin and want to automatically generate relevant tags for your posts: - Hashtags help increase channel discoverability through Telegram's global hashtag search. For example, clicking on #Nvidia will show all public posts in channels that used this hashtag - Having…
Demo: Tag & Summary Generation For a Message That Also Has Some Links 💡It's Useful When: 1️⃣ You're a content creator on social media platforms and want to generate better tags for your posts that include links - HyperTAG will create tags based on both the text of your message and the content of the links 📌 Notes: 1️⃣ Generated Tags will be based on the whole text + the content of all the links 2️⃣ Generated Sum…
Demo: Tag & Summary Generation For a Given YouTube Video Link 💡It's Useful When: 1️⃣ You want to quickly understand the key points of a long YouTube video without watching the entire thing - Paste its link into the bot for a concise summary 2️⃣ You need a summary of a YouTube video in a language other than English - HyperTAG will always provide the summary in English, no matter the video’s original language 3️⃣ Y…
Demo: Tag & Summary Generation For a Given Link (URL) 💡It's Useful When: 1️⃣ You came across a long blog post or article - Paste its link into the bot for a quick overview. 2️⃣ You need a summary of a link's content that is written in a language other than English - HyperTAG will always provide the summary in English, regardless of the original language Available on @HyperTAG_bot 🤖
Demo: Tag Generation For a Given Text 💡It's Useful When: 1️⃣ You want to post something on social media and don't know what hashtags to use (e.g. in Telegram's Channel Posts or Instagram's Captions) Available on @HyperTAG_bot 🤖
Change Log 🚀 HyperTAG v1.0.0 - Initial Release HyperTAG is a powerful Telegram bot designed to generate AI-based tags and summaries for Telegram messages, making it easier than ever to manage and enhance content for Telegram channels. This release includes core features, configurations, and API integrations, setting up the foundation for efficient tagging and summarization workflows. ✨ Key Features 📖 Text Analysis…
HyperTAG v1.0.0 is released! 🎉 You can access it from @HyperTAG_bot github.com/Mostafa-Abbasi/HyperTAG/releases/tag/v1.0.0 #HyperTAG
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Showing the 12 most recent of 14 posts we hold for @Falken_Devlog. 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 — 757,239 of 1,621,754entries 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.
Named by 1 registered channel — 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.
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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“FΛLK☰N's Devlog” (@Falken_Devlog), 66 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/Falken_Devlog.
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.