Learn More pinned «Want to Control Your Excel Data Like a Pro? Do you struggle with duplicate entries, messy data, multiple sheets, or protecting formulas? 😫 In my latest video, learn how XLBooster Control Group can help you: ✅ Block Duplicate Entries ✅ Validate Email & Phone…»

Channel
Learn More
@learnmoreindia
On this record: Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
46,595subscribers
-135 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001213174365 |
|---|---|
| Type | Channel |
| Username | @learnmoreindia |
| Description | Learn Computer Tips, Excel Tips, Tally Tips and More - Join our Channel to get Free Tips from us. |
| Created | 9 June 2019 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 2 times, most recently 27 August 2026 |
| On Telegram | t.me/learnmoreindia |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 09:33 | 46,595 | -3 |
| 25 Aug 2026, 10:47 | 46,598 | -12 |
| 24 Aug 2026, 14:04 | 46,610 | -17 |
| 23 Aug 2026, 00:43 | 46,627 | -8 |
| 21 Aug 2026, 15:38 | 46,635 | -8 |
| 20 Aug 2026, 16:56 | 46,643 | -13 |
| 19 Aug 2026, 19:02 | 46,656 | -6 |
| 18 Aug 2026, 18:54 | 46,662 | -14 |
| 17 Aug 2026, 20:16 | 46,676 | -24 |
| 16 Aug 2026, 22:24 | 46,700 | -3 |
| 15 Aug 2026, 19:04 | 46,703 | +18 |
| 14 Aug 2026, 09:26 | 46,685 | -9 |
| 12 Aug 2026, 23:03 | 46,694 | +2 |
| 12 Aug 2026, 00:16 | 46,692 | -2 |
| 11 Aug 2026, 00:03 | 46,694 | -28 |
| 9 Aug 2026, 22:11 | 46,722 | -6 |
| 8 Aug 2026, 21:25 | 46,728 | -2 |
| 7 Aug 2026, 22:00 | 46,730 | no change |
| 7 Aug 2026, 21:49 | 46,730 | first reading |
Engagement
40 posts held, back to 17 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 43 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.67%
- avg views ÷ 46,595 subscribers
- Avg views / post
- 3,580
- 19 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 30
- of 40 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.
| Window | Rolling 30 days · latest post in window 26 August 2026 |
|---|---|
| Posts held | 40 (17 July 2026 – 26 August 2026) |
| Views total | 67,930 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 15:29 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.
What this channel posts
- Photos
- ≈262
- Videos
- ≈2
- Links
- ≈1,810
Lifetime counters from Telegram’s own channel header, read 27 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Recent posts
Want to Control Your Excel Data Like a Pro? Do you struggle with duplicate entries, messy data, multiple sheets, or protecting formulas? 😫 In my latest video, learn how XLBooster Control Group can help you: ✅ Block Duplicate Entries ✅ Validate Email & Phone Numbers ✅ Import Multiple Sheets ✅ AutoFit All Sheets ✅ Lock Formulas & Cells ✅ Protect Multiple Sheets ✅ Create Monthly Sheets Automatically 🎥 Watch the complete…
📊 Can you create an Interactive Dashboard using your TallyPrime data? Absolutely! 🚀 Learn the complete workflow: TallyPrime → Excel → Google Sheets → Interactive Dashboard Perfect for Accountants, Finance Professionals, MIS Executives, and Business Owners. 🎥 Watch the complete tutorial: https://www.youtube.com/watch?v=Deft0klh_8E #TallyPrime #GoogleSheets #Dashboard #Accounting
Learn More pinned «New Video Is Live! 🎥 Stop doing repetitive Excel file work manually! Learn 15 powerful file automations that can save you hours. 🚀 📊 Merge files | Convert CSV/XLS | Split sheets | Generate reports | Word → PDF & more! 🎬 Watch the video: https://www.youtub…»
New Video Is Live! 🎥 Stop doing repetitive Excel file work manually! Learn 15 powerful file automations that can save you hours. 🚀 📊 Merge files | Convert CSV/XLS | Split sheets | Generate reports | Word → PDF & more! 🎬 Watch the video: https://www.youtube.com/watch?v=SZpey24IC3E&feature=youtu.be #Excel #ExcelAutomation #ExcelBooster
🚨 NEW VIDEO IS LIVE! 🚨 🤖 AI in Excel: Automate Repetitive Tasks with AI What if AI could write the VBA code for you and automate your repetitive Excel work? 😍 In this video, learn how to automatically split Excel data into multiple sheets in just a few seconds! 🎥 Watch Now: https://www.youtube.com/watch?v=qMwSylB0_Wk
Learn More pinned «🚀 Power BI DAX Masterclass is LIVE! Struggling to understand DAX? Don’t worry! Learn DAX from Zero to Hero with practical examples. 🔥 We cover: ✅ SUM & SUMX ✅ Measures & Calculated Columns ✅ Implicit vs Explicit Measures ✅ Row Context & Filter Context ✅ MTD…»
🚀 Power BI DAX Masterclass is LIVE! Struggling to understand DAX? Don’t worry! Learn DAX from Zero to Hero with practical examples. 🔥 We cover: ✅ SUM & SUMX ✅ Measures & Calculated Columns ✅ Implicit vs Explicit Measures ✅ Row Context & Filter Context ✅ MTD, QTD & YTD ✅ CALCULATE & Time Intelligence ✅ DAX Interview Concepts 📚 PDF Notes + Practice Files Included! 🎥 Watch Now: https://www.youtube.com/watch?v=G9NDA21zW6…
Learn More pinned «NEW VIDEO IS LIVE! 🚀 5,000+ Tally Transactions → Automatic Reports & Dashboard! 🤯 Learn how AI can help with: ✅ Cash Flow Analysis ✅ Customer Insights ✅ Monthly Reports ✅ Accounting Automation 👉 Watch the new video: https://www.youtube.com/watch?v=I-2TShV0nm8»
NEW VIDEO IS LIVE! 🚀 5,000+ Tally Transactions → Automatic Reports & Dashboard! 🤯 Learn how AI can help with: ✅ Cash Flow Analysis ✅ Customer Insights ✅ Monthly Reports ✅ Accounting Automation 👉 Watch the new video: https://www.youtube.com/watch?v=I-2TShV0nm8
What if AI could create your own Excel functions? With AI Function Builder, you can create custom LAMBDA and VBA functions without struggling with complex code. Would you use AI to build your own Excel function? 👇 👍 Yes 🔥 Definitely 🤔 Need to learn more 🎥 Watch the full video: https://openinyoutube.com/watch?v=61LGA_to2fE
NEW MASTERCLASS IS LIVE! 🚀 📊 Excel Power Pivot Masterclass – Beginner to Advanced Learn Power Pivot, Data Modeling, Table Relationships, Fact & Dimension Tables, DAX & Time Intelligence with practical examples. 🎥 Watch Now: https://youtu.be/jYwqM4vMgEM
Showing the 12 most recent of 40 posts we hold for @learnmoreindia. 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.
Channels Telegram recommends alongside this one
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.
@mybigguide · 9,666#1
@aashish26jain · 873#2
@nijatibrahimli · 2,593#3
@AGSTECHH · 5,298#4
@CLASSIC7733 · 3,071#5
@aiocomputerzoneofficial · 1,778#6
@Digitalseva1 · 7,770#7
@techguruplus · 7,353#8
@happylearnyofficial · 5,199#9
@MS_Excel_and_VBA_Macros · 9,643#10
@Trickyman2 · 154,212#11
@online_free_computer_course · 46,047#12
@abhijeetjitechnical4m · 1,338#13
@TallyDeveloper · 4,907#14
@AFCKS · 549#15
@buzz2daytech · 9,977#16
@tallyprime1 · 7,335#17
@Curious_Coder · 136,186#18
@finnovationzindia · 17,339#19
@abhishekkarofficial · 82,083#20
@nicscientistb2026 · 863#21
@GULABGURU · 108,596#22
@fintaxpro · 40,993#23
@bdscomputer · 323#24
@smartmoneyskooloffical · 95#25
@findjobsvacancy · 23,938#26
@OpenAI_Mastery · 49,941#27
@fastchangernews · 950#28
@coding_squad · 12,541#29
@rajcomicsinhindi · 6,347 (as read 27 August 2026)#30
@Sad_quotes_Thoughts · 115,342#31
@Taxexperts · 2,013#32
@oyits_engineers · 760 (as read 27 August 2026)#33
@aiplusme · 8,304#34
@MINES_Prediction_v20 · 7,283#35
@pipsmasteracademy804 · 1,779#36
@Aadhyatmik_Sahitya · 5,696 (as read 27 August 2026)#37
@nimcet_resources · 1,781 (as read 27 August 2026)#38
@computercourse18 · 4,979 (as read 27 August 2026)#39
@tatvamasiyouthclub · 400#40
@Tefl8 · 79#41
@gujarat_naukri · 2,617#42
@mainframestudymaterial · 3,572 (as read 27 August 2026)#43
@LandCruiser33 · 24#44
@Rishikeshkumar1 · 27,811#45
@BnssNewEducation2024 · 88 (as read 27 August 2026)#46
@PSYCHOLOGYISUS · 15,729#47
@Brahmacharya · 35,116#48
@dharmakikhoj · 5,903#49
@computerinsititute · 2,190#50
@actress_edits · 648#51
@SWEETY_IPL_CRICKET_BETTING_TIPS · 14,091#52
@malviyasir · 1,255 (as read 27 August 2026)#53
@shmnizami · 1,415#54
@scribe_volunteers · 1,491#55
@Drjuvansinh_jadeja · 5,992 (as read 27 August 2026)#56
Read from Telegram’s recommendation API, most recently 27 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.
Appears in Telegram’s recommendations for other channels
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.
@online_free_computer_course · 46,047
Telegram ranks this channel #4 of 48 here — alongside 47 others — read 27 August 2026
@GULABGURU · 108,596
Telegram ranks this channel #6 of 56 here — alongside 55 others — read 14 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“Learn More” (@learnmoreindia), 46,595 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/learnmoreindia.
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.