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Signed NEXT LEVEL TECHNOLOGIES

Channel
@nextleveltechnolog
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
98,934subscribers
-6,528 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001478195901 |
|---|---|
| Type | Channel |
| Username | @nextleveltechnolog |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/nextleveltechnolog |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 43% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Oct 2026, 18:06 | 98,934 | -121 |
| 13 Oct 2026, 08:10 | 99,055 | -449 |
| 9 Oct 2026, 01:55 | 99,504 | -420 |
| 4 Oct 2026, 14:59 | 99,924 | -733 |
| 26 Sept 2026, 08:17 | 100,657 | -761 |
| 17 Sept 2026, 14:39 | 101,418 | -166 |
| 15 Sept 2026, 13:16 | 101,584 | -173 |
| 13 Sept 2026, 20:20 | 101,757 | -160 |
| 12 Sept 2026, 03:20 | 101,917 | -160 |
| 9 Sept 2026, 21:20 | 102,077 | -341 |
| 6 Sept 2026, 12:35 | 102,418 | -219 |
| 4 Sept 2026, 01:17 | 102,637 | -199 |
| 2 Sept 2026, 14:09 | 102,836 | -120 |
| 1 Sept 2026, 11:38 | 102,956 | -81 |
| 31 Aug 2026, 12:47 | 103,037 | -94 |
| 30 Aug 2026, 15:48 | 103,131 | -106 |
| 29 Aug 2026, 14:42 | 103,237 | -108 |
| 28 Aug 2026, 16:23 | 103,345 | -79 |
| 27 Aug 2026, 18:56 | 103,424 | -84 |
| 26 Aug 2026, 18:36 | 103,508 | first reading |
58 posts held, back to 3 August 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 128 pages of 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 11 October 2026 |
|---|---|
| Posts held | 58 (3 August 2026 – 11 October 2026) |
| Views total | 7,647 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 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.
153 reactions across 44 posts, in 6 distinct kinds. The most used accounts for 86.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 132 | 86.3% | |
| 👍 | 12 | 7.84% | |
| 👏 | 4 | 2.61% | |
| ✍ | 3 | 1.96% | |
| 💔 | 1 | 0.654% | |
| 🥰 | 1 | 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 47 of the 58 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 153 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 3 August 2026 to 11 October 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.
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🔐 በሳይበር ደህንነት (Cybersecurity) ዘርፍ ብቁ ባለሙያ መሆን ይፈልጋሉ? በአለም ደረጃ የዲጂታል ግንኙነቶች በጨመሩ ቁጥር የሳይበር ጥቃቶች ስጋትም አብሮ እየሰፋ ይገኛል። ድርጅቶችን ከእነዚህ ጥቃቶች እንዴት መከላከል እንደሚችሉ በመማር በዘርፉ ተፈላጊ የሆኑ ክህሎቶችን ማዳበር እና አዲስ የሙያ እድል መክፈት ይችላሉ። ይህ በ Cisco Networking Academy የቀረበው Junior Cybersecurity Analyst የሙያ መንገድ (Career Path) ለጀማሪዎች ተስማሚ በሆነ መልኩ የተዋቀረ ነው። ስልጠናው አጠቃላይ 120 ሰአታትን የሚወስድ ሲሆን፣ በቀጥታ ለአለም አቀፍ የሙያ ሰርተፊኬት (Certification Aligned) የሚያዘጋጁ ተ…
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🔐 Cybersecurity Acronyms Every Security Professional Should Know Cybersecurity is full of technical abbreviations—but understanding them is essential for effective communication, security operations, and risk management. 📌 Key Areas to Know: 🌐 Web Security • XSS — Cross-Site Scripting • CSP — Content Security Policy • WAF — Web Application Firewall 🌍 Network Security • IPSec — Internet Protocol Security • TLS — T…
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🔥 Vibe Coding — ችግር ነው? ወይስ የኢትዮጵያ Software Industry አዲስ እድል? አንድ ወጣት የCoding ልምድ የለውም። ነገር ግን AI ተጠቅሞ አንድ እውነተኛ የቢዝነስ ችግር የሚፈታ Application ገነባ። Application-ኑ ይሰራል። ደንበኞች መጠቀም ጀመሩ። ገቢም ማግኘት ጀመረ። 💰 እንግዲህ ጥያቄው፦ 👉 “እሱ እውነተኛ Developer አይደለም” ማለት አለብን? 👉 “Vibe Coding ገበያውን ያበላሻል” ማለት አለብን? 👉 ወይስ “ችግር ፈትቶ ዋጋ እየፈጠረ ከሆነ፣ ለምን እንከለክለዋለን?” 🤔 እውነቱን እንነጋገር። የኢትዮጵያ Software Industry ገና ብዙ የሚሄድበት መንገድ አለው። የDigital Skill ደረጃ…
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🛡️ NEXT LEVEL TECHNOLOGIES 🤖 AI የCybersecurity ዓለምን እየቀየረ ነው — የድርጅቶች የደህንነት አሰራርም አብሮ መለወጥ አለበት። የArtificial Intelligence (AI) እድገት የTechnology ዓለምን ብቻ አይቀይርም። Cybersecurityንም በፍጥነት እየቀየረ ነው። Generative AI እና AI Agents ለድርጅቶች አዲስ የመከላከያ አቅም ሲፈጥሩ፣ በሌላ በኩል የCyber Attack መንገዶችንም የበለጠ ፈጣን፣ የተመረጡ እና የተወሳሰቡ እያደረጉ ነው። ⚠️ ዛሬ የምናየው 4 ዋና የAI-Cybersecurity ለውጦች 01 | Hyper-Personalized Phishing 🎣 AI የሰዎችን የግንኙነት ልምድና የሚገኝ …
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Signed NEXT LEVEL TECHNOLOGIES
🧠 OpenAI አዲሱን እና እጅግ የላቀውን GPT-6 Astra ሞዴል ይፋ ማድረጉ ይታወቃል ። ይህ ሞዴል ከቀዳሚው (GPT-5.6) በብዙ መልኩ የላቀ ሲሆን፣ እንደ ተራ ቻትቦት (Chatbot) ሳይሆን ራሱን ችሎ ኮምፒውተርን እንደ ሰው መጠቀም የሚችል (Computer Operator) ሆኖ ነው የተሰራው። አሁን ላይ ለ ChatGPT Plus, Pro, Business እና Enterprise ተጠቃሚዎች እንዲሁም በ API በኩል ክፍት ሆኗል።
❤4👍1
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🌐🚀 NEXT LEVEL TECHNOLOGIES ኢንተርኔት በእውነት እንዴት ይሰራል? 🌍💻 🇬🇧 ከለንደን → 🇺🇸 ቨርጂኒያ አንድ Link ስትጫኑ መረጃው እስከ Server ድረስ የሚያደርገውን አስደናቂ ጉዞ እንመልከት! 👇 🔹 1️⃣ Device 📱💻 ስልክዎ ወይም Laptopዎ የሚፈልጉትን ድረ-ገጽ/አገልግሎት ሲጠይቅ መረጃው በትንንሽ Data Packets 📦 ይተላለፋል። 🔹 2️⃣ Wi-Fi Router 📡 Packet-ዎቹ ወደ Routerዎ ይደርሳሉ። Routerውም መረጃው ወደሚሄድበት አቅጣጫ ይመራዋል። 🧭 🔹 3️⃣ ISP / Access Network 🌐 ከRouter በኋላ መረጃው በFiber Optic፣ Mobile Network ወይም በሌሎች Access Networks በ…
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Showing the 12 most recent of 58 posts we hold for @nextleveltechnolog. 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“NEXT LEVEL TECHNOLOGIES |NLT” (@nextleveltechnolog), 98,934 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/nextleveltechnolog.
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.