Channel
@analyticsinsightmag
On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry
35,142subscribers
-468 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001258927103 |
|---|---|
| Type | Channel |
| Username | @analyticsinsightmag |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 August 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 26 August 2026 |
| On Telegram | t.me/analyticsinsightmag |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 18:12 | 35,142 | -14 |
| 25 Aug 2026, 20:17 | 35,156 | -29 |
| 24 Aug 2026, 21:14 | 35,185 | -53 |
| 23 Aug 2026, 03:59 | 35,238 | -26 |
| 21 Aug 2026, 13:46 | 35,264 | -21 |
| 20 Aug 2026, 11:33 | 35,285 | -22 |
| 19 Aug 2026, 13:38 | 35,307 | -12 |
| 18 Aug 2026, 16:14 | 35,319 | -30 |
| 17 Aug 2026, 13:47 | 35,349 | -25 |
| 16 Aug 2026, 08:12 | 35,374 | -46 |
| 14 Aug 2026, 17:33 | 35,420 | -25 |
| 13 Aug 2026, 09:57 | 35,445 | -15 |
| 12 Aug 2026, 12:53 | 35,460 | -29 |
| 11 Aug 2026, 14:28 | 35,489 | -27 |
| 10 Aug 2026, 16:13 | 35,516 | -29 |
| 9 Aug 2026, 17:23 | 35,545 | -33 |
| 8 Aug 2026, 15:18 | 35,578 | -17 |
| 7 Aug 2026, 17:35 | 35,595 | -15 |
| 7 Aug 2026, 10:15 | 35,610 | first reading |
340 posts held, back to 6 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 43 pagesof 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 26 August 2026 |
|---|---|
| Posts held | 340 (6 August 2026 – 26 August 2026) |
| Views total | 48,150 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 17:13 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.
𝐏𝐞𝐫𝐩𝐥𝐞𝐱𝐢𝐭𝐲, 𝐍𝐕𝐈𝐃𝐈𝐀 𝐁𝐫𝐢𝐧𝐠 𝐋𝐨𝐜𝐚𝐥 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 𝐟𝐨𝐫 𝐁𝐞𝐭𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 Your AI data may soon stay on your own machine! Perplexity and NVIDIA are pushing local AI with Portable Computer, allowing agents to run directly on powerful hardware. The catch? Users need an NVIDIA GPU with at least 24GB VRAM. Linux support arrives first, while Windows support is coming soon. Privacy meets serious computing power! Read More 👇 zurl.c
Signed Gangadhar Karnati
𝟓 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰 𝐎𝐓𝐓 𝐅𝐢𝐥𝐦𝐬 𝐭𝐨 𝐒𝐭𝐫𝐞𝐚𝐦 𝐁𝐞𝐟𝐨𝐫𝐞 𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔 𝐂𝐨𝐦𝐞𝐬 𝐭𝐨 𝐚𝐧 𝐄𝐧𝐝 August is ending with plenty to watch! From Bobby Deol’s intense Bandar and a gripping murder mystery to Michael Jackson’s biopic and an emotional romance, these five OTT releases offer something for every mood. 🎬 Which film will make it to your weekend watchlist first? 👀 Read More 👇 zurl.co/VPXJ1
Signed N Raju Reddy
𝐂𝐡𝐢𝐧𝐚’𝐬 𝐈𝐫𝐚𝐧 𝐎𝐢𝐥 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞𝐬 𝐓𝐞𝐬𝐭 𝐓𝐫𝐮𝐦𝐩’𝐬 𝐍𝐞𝐰 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐃-𝐃𝐚𝐲 𝐒𝐚𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 Trump’s “economic D-Day” campaign is widening pressure on Iran’s financial and oil networks. Yet China receives over 80% of Iranian oil shipments, creating a major test for Washington. Tighter sanctions could reshape trade routes, lift crude prices, and increase supply pressure on large importers, including India. 🛢️🌍 Read More 👇 zurl.co
Signed N Raju Reddy
𝐇𝐨𝐰 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐒𝐚𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐖𝐨𝐫𝐤: 𝐀 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐓𝐫𝐚𝐝𝐞, 𝐁𝐚𝐧𝐤𝐢𝐧𝐠, 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧𝐬 How can a restriction on one country or company affect businesses thousands of miles away? Follow the chain from sanctions and blocked payments to shipping disruptions, supplier changes, and higher costs. Read More 👇 zurl.co/aW7Tw
Signed N Raju Reddy
𝐓𝐞𝐦𝐩𝐥𝐞 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞: 𝐃𝐞𝐞𝐩𝐢𝐧𝐝𝐞𝐫 𝐆𝐨𝐲𝐚𝐥’𝐬 𝐍𝐞𝐰 𝐇𝐞𝐚𝐥𝐭𝐡 𝐓𝐫𝐚𝐜𝐤𝐞𝐫 𝐭𝐨 𝐋𝐚𝐮𝐧𝐜𝐡 𝐒𝐨𝐨𝐧 Deepinder Goyal’s Temple wearable is bringing brain-focused health tracking to a new level. With Entropy, cerebral signals and an ultra-compact design, Temple could reshape premium wearables. Read More 👇 zurl.co/878M4
Signed Gangadhar Karnati
𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: 𝗛𝗼𝘄 𝗶𝘁𝘀 𝗢𝗽𝗲𝗻 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗕𝗲𝗰𝗮𝗺𝗲 𝗮 𝗧𝗮𝗿𝗴𝗲𝘁 𝗳𝗼𝗿 𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 Hugging Face has grown from a chatbot startup into a powerful open AI platform connecting developers, businesses, and researchers worldwide. With Big Tech interest rising, its role in the AI ecosystem is becoming more valuable. Read More 👇 zurl.co/YEEXK
Signed Gangadhar Karnati
𝐎𝐩𝐞𝐧𝐀𝐈 𝐉𝐚𝐥𝐚𝐩𝐞ñ𝐨 𝐂𝐡𝐢𝐩: 𝐔𝐩 𝐭𝐨 𝟒.𝟏𝐱 𝐅𝐚𝐬𝐭𝐞𝐫 𝐀𝐈 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 OpenAI’s Jalapeño chip is bringing custom silicon into the AI inference race. Faster responses, lower latency, and better power efficiency. Could custom silicon reshape the AI chip race? Read More 👇 zurl.co/7r8yf
Signed N Raju Reddy
𝗛𝗦𝗕𝗖 𝗨𝗔𝗘 𝗟𝗮𝘂𝗻𝗰𝗵𝗲𝘀 𝗚𝗹𝗼𝗯𝗮𝗹 𝗠𝗼𝗻𝗲𝘆 𝗔𝗰𝗰𝗼𝘂𝗻𝘁 𝗳𝗼𝗿 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 HSBC UAE has launched its upgraded Global Money Account, making the country the first market in HSBC’s global network to offer the new multi-currency account. Customers can hold, spend, transfer and receive funds in more than 20 currencies, with a linked Visa debit card supporting international payments and everyday spending across borders. Read More👇 zurl
Signed Gangadhar Karnati
𝗛𝗼𝘄 𝗪𝗶𝗹𝗹 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗝𝗼𝗯𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗔𝗘? AI is reshaping healthcare jobs across the UAE, from clinical decision support to digital health roles. Explore the latest workforce data, AI skills, job shifts and policy changes. Read More👇 zurl.co/ndL2z
Signed Gangadhar Karnati
𝐂𝐇𝐑𝐎 𝟐𝟎𝟐𝟕 𝐂𝐡𝐞𝐜𝐤𝐥𝐢𝐬𝐭: 𝟏𝟎 𝐖𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐞𝐬 𝐟𝐨𝐫 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐀𝐈, 𝐇𝐮𝐦𝐚𝐧 𝐓𝐚𝐥𝐞𝐧𝐭 AI is reshaping how organizations hire, develop and manage talent. In 2027, CHROs must balance automation with human judgement, reskilling, trust and meaningful work. From AI-ready workforces to responsible governance, these 10 priorities can help HR leaders prepare for the next phase of workplace transformation while keeping employees at the
Signed Gangadhar Karnati
𝐀𝐈 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐋𝐨𝐨𝐩𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝: 𝐇𝐨𝐰 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐋𝐞𝐚𝐫𝐧𝐬, 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐬 Discover how AI feedback loops help artificial intelligence learn, adapt, and improve. From human feedback to AI agents, explore how continuous learning is shaping smarter and more reliable technology. Read More 👇 zurl.co/U92y7
Signed N Raju Reddy
𝐔𝐒 𝐕𝐢𝐬𝐚 𝐑𝐮𝐥𝐞𝐬 𝐓𝐢𝐠𝐡𝐭𝐞𝐧 𝐚𝐬 𝐇-𝟏𝐁, 𝐎𝐏𝐓, 𝐆𝐫𝐞𝐞𝐧-𝐂𝐚𝐫𝐝 𝐂𝐨𝐬𝐭𝐬 𝐑𝐢𝐬𝐞 𝐟𝐨𝐫 𝐈𝐧𝐝𝐢𝐚𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐧𝐭𝐬 The Trump administration is advancing visa changes that could make the US study-to-work route significantly more expensive for Indians. Higher H-1B fees, tighter F-1 rules, proposed OPT charges and a possible green-card bond are among the measures to watch. Read More 👇 zurl.co/ZevZz
Signed N Raju Reddy
Showing the 12 most recent of 340 posts we hold for @analyticsinsightmag. 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 — 676,399 of 1,604,598entries 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.
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.
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 1 seed channel's Telegram-generated recommendation list 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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“Analytics Insight” (@analyticsinsightmag), 35,142 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/analyticsinsightmag.
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.