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Channel
Akilas Tech
@akilastech
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
73subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001451169152 |
|---|---|
| Type | Channel |
| Username | @akilastech |
| Description | we are AKILAS,with the latest tech news,updates and futuristic with easy tips,tricks and free udemy courses and much,much more...🚀💻 🛸 @akilastech Reach out to us at @AtoZtorBot |
| Created | Between 1 April 2019 and 4 November 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/akilastech |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 22:15 | 73 | no change |
| 6 Aug 2026, 21:20 | 73 | first reading |
Engagement
19 posts held, back to 4 November 2020 — 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 19 posts for this entry, the most recent from 26 June 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 14
- Videos
- 2
- Links
- 60
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
"ራሥ ዳርጌ/ፖርቹጊስ ድልድይ" ታሪካዊው የ ራሥ ዳርጌ/ፖርቹጊስ ድልድይ በ ኢትዮጵያ ደብረሊባኖስ ልዩ ቦታው *** በተባለ አካባቢ የሚገኝ ጥንታዊ የድልድይ ሥራ ነው። ስለ ቦታው ስያሜ በሁለት የተከፈለ የታሪክ ሁነት አለ፤ እንደ አንዳንድ የታሪክ ሠዎች የ ድልድዩ ስያሜ "ፖርቹጊሥ/Portuguese" ሲሆን ይሔም በ ፲፮(16)ኛው ክፍለ ዘመን በ ፖርቹጋል ዜጎች የተገነባ ስለሆነ የተሠጠው ሥያሜ ነው ይላሉ። በሌላ በኩል ያሉት ወገኖች ሥያሜው "ራሥ ዳርጌ" ነው የሚል ሢሆን ይሔም በ ፲፱(19)ኛው ክፍለ ዘመን በ ራስ ዳርጌ (የዳግማዊ አፄ ምኒልክ አጎት) ያሰሩት እንደሆነ ይናገራሉ። "Ras Darge / Portuguese Bridge" The histori…
https://instagram.com/akilas_events?utm_medium=copy_link
Akilas Tech pinned a photo
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@akilas_events
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💥 Database Engineering With Phyton https://click.linksynergy.com/deeplink?id=tHnUyAHsRvI&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fdatabase-engines-crash-course%2F%3FcouponCode%3DHOLIDAY
🧩 Python Programming™ - Basics, Multithreading, OOP and NumPy🧩 https://www.udemy.com/course/python-programming-basics-multithreading-oop/?couponCode=14BDC5FD3CA07F07E017 @akilastech Reach out to us @AtoZtorBot
🧩Complete Google Certified Educator Level 1 and 2 Masterclass 🧩 https://www.udemy.com/course/complete-google-certified-educator-level-1-masterclass/?couponCode=9EB0D002A5685011660B @akilastech Reach out to us @AtoZtorBot
🧩The ultimate app making course🧩 https://www.udemy.com/course/the-ultimate-app-making-course-master-many-coding-skills/?couponCode=4EE03A162348D62D10C2 @akilastech Reach out to us @AtoZtorBot
#tips 🧩Password cracking techniques🧩 🤖There are a number of techniques that can be used to crack passwords. We will describe the most commonly used ones below ; 🤖Dictionary attack – This method involves the use of a wordlist to compare against user passwords. 🤖Brute force attack – This method is similar to the dictionary attack. Brute force attacks use algorithms that combine alpha-numeric characters and symbols t…
Showing the 12 most recent of 19 posts we hold for @akilastech. 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 — 1,212,209 of 1,625,404entries 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
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 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@akilastech named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 10 August 2026 – 10 August 2026
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.
“Akilas Tech” (@akilastech), 73 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/akilastech.
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.