Telegram RegisterThe public register of Telegram

Channel

BotzHub

@BotzHub

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

63,792subscribers

-386 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001190458721
TypeChannel
Username@BotzHub
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/BotzHub

Growth

63,79264,17863,9856 August 2026 — 64,178 subscribers7 August 2026 — 64,174 subscribers8 August 2026 — 64,009 subscribers9 August 2026 — 63,979 subscribers9 August 2026 — 63,938 subscribers10 August 2026 — 63,882 subscribers11 August 2026 — 63,825 subscribers13 August 2026 — 63,792 subscribers6 August 202613 August 2026
8 measurements spanning 6 days, net -386. 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 63,734–64,236 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:2863,792-33
11 Aug 2026, 23:1563,825-57
10 Aug 2026, 23:3263,882-56
9 Aug 2026, 23:3463,938-41
9 Aug 2026, 01:1163,979-30
8 Aug 2026, 03:5264,009-165
7 Aug 2026, 03:2064,174-4
6 Aug 2026, 18:4864,178first reading

Engagement

21 posts held, back to 10 June 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.2%
avg views ÷ 63,792 subscribers
Avg views / post
7,160
4 posts measured
Reaction rate
0.251%
reactions ÷ views · ER floor
Posts in window
4
of 21 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (10 June 20247 August 2026)
Views total28,630
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:16 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

7,621 reactions across 21 posts, in 28 distinct kinds. The most used accounts for 44.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3,39844.6%
👍2,16928.5%
🥰4415.79%
🔥3945.17%
👏2182.86%
😁1461.92%
❤‍🔥1091.43%
🗿811.06%
🆒750.984%
🕊720.945%
💯570.748%
🤯560.735%
🤣530.695%
🎉490.643%
💔460.604%
🤗460.604%
440.577%
🏆380.499%
🫡310.407%
👌260.341%
8 further kinds720.945%

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 21 of the 21 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 7,621reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 10 June 2024 to 7 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.

Telegram Stars

Stars received
106
across the posts below
Posts paid on
7
of 21 we hold a reading for · 33%
Most on one post
61
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BotzHub. 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 21 most recent posts we hold for this entry, published 10 June 2024 to 7 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.

Recent posts

7 Aug 2026, 04:54 UTC≈3,600 views7 reactions61 Starsread 12 August 2026

@AnonymousSendBot is back up!

4😢3

31 Jul 2026, 18:51 UTC≈7,280 views22 reactionsread 12 August 2026

🎉 Introducing Splitty Bill splitting at restaurants always ends with one person hunched over a calculator. Built a web app so nobody has to be that person. 🔗 Check it out live: https://splitty.xditya.me #repo: https://github.com/xditya/Splitty - Scan or upload the bill and AI reads the items out in a few seconds. If the API is down it falls back to OCR that runs on your phone, and typing the bill in by hand alway

15🔥7

30 Jul 2026, 04:45 UTC≈6,950 views18 reactionsread 12 August 2026

Made an agent skill for testing telegram bots! tgbot-test-skill #repo: https://github.com/xditya/tgbot-test-skill A Claude Code skill that tests your Telegram bots for you, from a real userbot account, not mocks - Claude discovers your bot's command handlers straight from the codebase (supports ~30 frameworks — PTB, aiogram, Pyrogram, Telethon, grammY, Telegraf & more) - Sends the actual commands from a logged-in u

14🔥4

19 Jul 2026, 19:39 UTC≈10,800 views25 reactionsread 12 August 2026

🎉 @ChannelActionsBot has been updated! The bot now has a full web dashboard (Mini App + browser) for managing your chats. What it offers: - Manage chat settings — approve/decline auto-join, welcome messages, and more - Per-chat stats page for admins — daily approve/decline counters, activity trends - Chat list with a refresh button, so you don’t need to reload - Every change is re-verified against Telegram admin st

22🔥3

20 Jun 2026, 05:50 UTC≈23,900 views103 reactionsread 12 August 2026

@GetMessagesRoBot is back up!! We've added a small daily limit to keep the bot free and running for everyone. - You get 5 free fetches per day (increasable) - Once you hit the limit, complete a quick one-time task to unlock +15 more uses (valid 24 hours) - Your free uses reset every midnight automatically This helps cover the server costs so the bot stays free for all. Thanks for the support! 😊 ~ @BotzHub

56👏15👍11🗿8🔥7💔6

14 May 2026, 15:37 UTC≈41,200 views52 reactionsread 12 August 2026

Fixed an issue in @ChannelActionsBot where welcome messages were not showing up on approving users. For ADs in bot, contact admin here. ~ @BotzHub

44🔥5🥰3

29 Apr 2026, 16:53 UTC≈45,800 views75 reactionsread 12 August 2026

Presenting @MediaPlixBot! 🎉 Your movie search & download companion on Telegram! 🎬 🔍 Search for any movie instantly 📥 Get multiple download links in one place 🎞 Browse IMDb info & images safely ⚡️ Fast, easy, and distraction-free Just send a movie title and let the magic happen! ~ @MediaPlix

43👍10💔9🥰7🔥6

3 Mar 2026, 16:57 UTC≈68,700 views146 reactionsread 12 August 2026

🎉 @GeminiTalkBot has been updated. - Much faster responses, lesser downtime. - Updated to use telegram's new message streaming, to avoid reply delays when collecting data from the model. - Coloured buttons - yay! (bruh) ~ @BotzHub

90👍28🥰15🫡13

25 Feb 2026, 16:04 UTC≈68,700 views92 reactionsread 12 August 2026

Reaction Saver #repo: https://github.com/xditya/ReactionSaver - React to any message in DMs to save to your configurable LOG_CHAT - Good for messages or files sent in DMs with privacy enabled (forwards turned off) - Steps to set up are available here Star the repo if it helped :) ~ @BotzHub

68👍15🤣6😁3

2 Feb 2026, 14:22 UTC≈77,400 views109 reactionsread 12 August 2026

🎉 Just pushed a new repository to GitHub, been a while :) ImageTools #repo: https://github.com/xditya/ImageTools a python script to manipulate images - Resize images to exact pixel dimensions (width × height) - Auto compress images to target file sizes with optimal quality. - Add noise to ensure the image size meets your requirements. - Works with JPEG, PNG, and WebP formats. Makes applying for online examinations

79🔥17👏12👍1

31 Dec 2025, 18:30 UTC≈93,000 views191 reactions1 Starread 12 August 2026

Happy new year!

130👍25💔12😁12🥰11🤯1

5 Nov 2025, 17:19 UTC≈162,000 views254 reactions3 Starsread 12 August 2026

New discussion group attached! Drop project ideas, if you have any, in comments. (Don’t just stick to telegram bots btw) ~ @BotzHub

182👍35🔥23😁14

Showing the 12 most recent of 21 posts we hold for @BotzHub. 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

Citation-graph rank — 239,953 of 1,151,006entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“BotzHub” (@BotzHub), 63,792 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/BotzHub.

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.