Mo accidentally deleted his old channel by mistake and is starting over. Most of you probably know him already, so let’s help him rebuild subscribe to his new channel @CoolioCodes.
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Signed Bυɾԋαɳ | برهان :)

Channel
@BurhanOps
On this record: Also posting the same content · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
1,192subscribers
+75 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002318577841 |
|---|---|
| Type | Channel |
| Username | @BurhanOps |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/BurhanOps |
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:02 | 1,192 | +9 |
| 10 Aug 2026, 09:52 | 1,183 | +65 |
| 7 Aug 2026, 04:23 | 1,118 | +1 |
| 6 Aug 2026, 13:34 | 1,117 | first reading |
20 posts held, back to 24 July 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 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 6 August 2026 |
|---|---|
| Posts held | 20 (24 July 2026 – 6 August 2026) |
| Views total | 15,054 |
| Reactions total | 306 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 13:34 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.
306 reactions across 20 posts, in 22 distinct kinds. The most used accounts for 26.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 81 | 26.5% | |
| ❤ | 30 | 9.80% | |
| 😁 | 28 | 9.15% | |
| ❤🔥 | 27 | 8.82% | |
| 😭 | 27 | 8.82% | |
| 💯 | 26 | 8.50% | |
| 💔 | 17 | 5.56% | |
| ⚡ | 10 | 3.27% | |
| 🤔 | 9 | 2.94% | |
| 🎉 | 8 | 2.61% | |
| 🙉 | 8 | 2.61% | |
| 🏆 | 7 | 2.29% | |
| 🕊 | 6 | 1.96% | |
| 🍓 | 5 | 1.63% | |
| 💋 | 4 | 1.31% | |
| 🤗 | 3 | 0.98% | |
| 🤯 | 3 | 0.98% | |
| 😐 | 2 | 0.654% | |
| 🫡 | 2 | 0.654% | |
| 🍾 | 1 | 0.327% | |
| 2 further kinds | 2 | 0.654% |
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 20 of the 20 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 306reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 July 2026 to 6 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 @BurhanOps. 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 20 most recent posts we hold for this entry, published 24 July 2026 to 6 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.
Mo accidentally deleted his old channel by mistake and is starting over. Most of you probably know him already, so let’s help him rebuild subscribe to his new channel @CoolioCodes.
❤3💔2👌1
Signed Bυɾԋαɳ | برهان :)
Meet our Panel Host: Rodas Yohannes We're excited to have Rodas Yohannes leading our panel discussion. She's an amazing host who knows how to create engaging conversations and bring out the best from every speaker. We can't wait to see her guide this discussion with our incredible panelists. See you on August 8!!
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Signed Bυɾԋαɳ | برهان :)
Registration is now officially closed! A huge thank you to everyone who registered for the Raycast Meetup Ethiopia. We're excited to see you all on August 8. If you missed registration, don't worry we'll share updates about future events. See you soon!:)
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Meet Our Panelist: Meron Abate We're excited to welcome Meron Abate, a Software Developer and Community Leader, as a panelist at Raycast Meetup Ethiopia. Meron builds custom software and business automation solutions that help organizations solve real-world challenges. She also contributes to applied AI and emerging technology projects, exploring practical ways these technologies can address real-world problems. B…
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Meet Our Panelist: Yohannes Abebe We're excited to welcome Yohannes Abebe, Ecosystem Builder at Web3 Ethiopia and a blockchain developer, as a panelist at Raycast Meetup Ethiopia. Yohannes is passionate about building developer communities, expanding blockchain education, and creating opportunities for students, founders, and builders to get involved in Web3. Through @EthiopiaWeb3, he has helped organize workshops,…
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v0 API is live!
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Meet Our Speaker: Ezra Ashenafi We're excited to welcome software engineer, creator, and long-time Raycast user Ezra Ashenafi to Raycast Meetup. A Raycast user for over three years, Ezra is passionate about developer productivity, keyboard-first workflows, and building tools that make work faster and more enjoyable. He has built Raycast extensions and enjoys exploring its powerful API and deep macOS integrations. …
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Your location should not decide which opportunities you can access.
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Meet Our Speaker: Dagmawi Babi We're excited to welcome DagmawiBabi, Founder of @ScholarXIV and content creator, as a speaker at the Raycast Meetup Ethiopia. As the founder of ScholarXIV, @Dagmawibabi is passionate about building products, supporting founders, and sharing insights on AI, startups, and technology. Through his work as a creator and entrepreneur, he has inspired many young builders to learn, create, a…
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The first Raycast meetup in Addis Ababa, organized by Abdurhaman, Raycast Ambassador and AI Career Essentials alumnus. Come explore smarter ways to work. 🗓 Saturday, Aug 8 (ቅዳሜ፣ ነሃሴ 2) ⏰ 2:00 PM – 5:00 PM 📍 CAPSTONE ALX Tech Hub, Lideta 👉 Register now: https://luma.com/o1mjch9j #ALXEthiopia#ALXAfrica #LifeAtALX #Raycast #ALXCommunity #DoHardThings
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Pulling all-nighter with @BurhanOps 🔥
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Signed Bυɾԋαɳ | برهان :)
Frosty is back! Go show some love and support her channel :)
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Signed Bυɾԋαɳ | برهان :)
Showing the 12 most recent of 20 posts we hold for @BurhanOps. 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 — 108,113 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.
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.
Named by 7 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Bυɾԋαɳ-Ops” (@BurhanOps), 1,192 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/BurhanOps.
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.