Learn More pinned «https://www.youtube.com/watch?v=UAsY_-CepeU»

Channel
Learn More
@learnmoreindia
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
46,070subscribers
-660 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 | 9 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/learnmoreindia |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 01:59 | 46,070 | -67 |
| 4 Oct 2026, 14:17 | 46,137 | -116 |
| 26 Sept 2026, 05:02 | 46,253 | -87 |
| 19 Sept 2026, 08:35 | 46,340 | -27 |
| 16 Sept 2026, 18:56 | 46,367 | -4 |
| 14 Sept 2026, 22:41 | 46,371 | -5 |
| 13 Sept 2026, 11:00 | 46,376 | -24 |
| 11 Sept 2026, 15:38 | 46,400 | -41 |
| 9 Sept 2026, 01:37 | 46,441 | -58 |
| 5 Sept 2026, 20:19 | 46,499 | +8 |
| 3 Sept 2026, 18:39 | 46,491 | -17 |
| 2 Sept 2026, 08:24 | 46,508 | -16 |
| 1 Sept 2026, 08:25 | 46,524 | -12 |
| 31 Aug 2026, 05:02 | 46,536 | -17 |
| 30 Aug 2026, 05:53 | 46,553 | -10 |
| 29 Aug 2026, 09:02 | 46,563 | -18 |
| 28 Aug 2026, 09:13 | 46,581 | -14 |
| 26 Aug 2026, 09:33 | 46,595 | -3 |
| 25 Aug 2026, 10:47 | 46,598 | -12 |
| 24 Aug 2026, 14:04 | 46,610 | first reading |
Engagement
80 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 130 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.88%
- avg views ÷ 46,070 subscribers
- Avg views / post
- 3,630
- 16 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 28
- of 80 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 11 October 2026 |
|---|---|
| Posts held | 80 (17 July 2026 – 11 October 2026) |
| Views total | 58,070 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Oct 2026, 20:17 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
- ≈1,830
Lifetime counters from Telegram’s own channel header, read 11 October 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
https://www.youtube.com/watch?v=UAsY_-CepeU
Learn More pinned «😩 Still Creating Salary Slips One-by-One? Imagine creating salary slips for 100 employees manually. If one slip takes just 5 minutes, that's more than 8 hours of repetitive work! But what if you could automate the entire process? 🚀 In my latest video, I show…»
😩 Still Creating Salary Slips One-by-One? Imagine creating salary slips for 100 employees manually. If one slip takes just 5 minutes, that's more than 8 hours of repetitive work! But what if you could automate the entire process? 🚀 In my latest video, I show you how to: ✅ Generate salary slips from Excel ✅ Create individual PDF files ✅ Use a Word template with dynamic data ✅ Automatically name each PDF ✅ Send persona…
Learn More pinned «🚨 NEW GST UPDATE! GST Portal has introduced a new Multiple State GST Registration option! 🔥 Now, businesses planning to operate in multiple states can select multiple states in a single registration process. ✅ Multiple States Selection ✅ Common Master TRN…»
🚨 NEW GST UPDATE! GST Portal has introduced a new Multiple State GST Registration option! 🔥 Now, businesses planning to operate in multiple states can select multiple states in a single registration process. ✅ Multiple States Selection ✅ Common Master TRN ✅ Add/Remove States ✅ Simplified Application Process 🎥 Watch the complete video: https://www.youtube.com/watch?v=sLLyBUWSkl4
Learn More pinned «NEW POWER BI DAX MASTERCLASS! Ready to take your DAX skills from basic to advanced? 🚀 In this masterclass, we practically cover: 📌 Advanced CALCULATE 📌 KEEPFILTERS 📌 REMOVEFILTERS 📌 DISTINCT 📌 RANKX 📌 CALCULATETABLE 📌 PARALLELPERIOD Plus practical business…»
NEW POWER BI DAX MASTERCLASS! Ready to take your DAX skills from basic to advanced? 🚀 In this masterclass, we practically cover: 📌 Advanced CALCULATE 📌 KEEPFILTERS 📌 REMOVEFILTERS 📌 DISTINCT 📌 RANKX 📌 CALCULATETABLE 📌 PARALLELPERIOD Plus practical business scenarios and a practice file to follow along. 🎥 Watch the full video:https://www.youtube.com/watch?v=5TVfvIogXLo
Is your Excel data also full of extra spaces, duplicate records, wrong dates, text numbers, currency issues & blank cells? 😩 Then this video is for you! 👇 🎯 Excel Data Cleaning: Clean Messy Data Like a Pro In this practical tutorial, you'll learn how to: ✅ Clean names & text using TRIM & PROPER ✅ Fix date & number formats ✅ Clean currency & price data ✅ Remove duplicates & blanks ✅ Clean email & phone numbers ✅ St…
Stop Cleaning Excel Data Manually! This is not a basic Excel example. It’s a REAL WORLD Excel Problem solved using AI-generated VBA Code. From messy data ➡️ clean & structured data in seconds! 👉 Watch here: https://www.youtube.com/watch?v=uZBV12evW-I&feature=youtu.be
Learn More pinned «From Accounting Fresher to a ₹25,000/month career goal 🚀 The job market is changing — and accounting professionals are increasingly working with ERP systems, cloud technology, Excel, and AI tools. This video breaks down a practical approach to using Claude…»
From Accounting Fresher to a ₹25,000/month career goal 🚀 The job market is changing — and accounting professionals are increasingly working with ERP systems, cloud technology, Excel, and AI tools. This video breaks down a practical approach to using Claude AI for resume building, interview preparation, projects, and career growth. 🎯 Watch Now: https://www.youtube.com/watch?v=AUi2oa2ITZc
Showing the 12 most recent of 80 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 · 9,606#1
@aashish26jain · 883#2
@nijatibrahimli · 2,605#3
@AGSTECHH · 5,395#4
@CLASSIC7733 · 3,094#5
@aiocomputerzoneofficial · 1,761#6
@Digitalseva1 · 7,691#7
@techguruplus · 7,432#8
@happylearnyofficial · 5,189#9
@MS_Excel_and_VBA_Macros · 9,554#10
@Trickyman2 · 150,769#11
@online_free_computer_course · 44,927#12
@abhijeetjitechnical4m · 1,341#13
@TallyDeveloper · 5,018#14
@AFCKS · 537#15
@buzz2daytech · 10,073#16
@tallyprime1 · 7,426#17
@Curious_Coder · 133,661#18
@finnovationzindia · 17,041#19
@abhishekkarofficial · 80,673#20
@nicscientistb2026 · 860#21
@GULABGURU · 108,272#22
@fintaxpro · 41,423#23
@bdscomputer · 313#24
@smartmoneyskooloffical · 93#25
@findjobsvacancy · 23,543#26
@OpenAI_Mastery · 50,301#27
@fastchangernews · 987#28
@coding_squad · 12,267#29
@rajcomicsinhindi · 6,272#30
@Sad_quotes_Thoughts · 112,632#31
@Taxexperts · 1,989#32
@oyits_engineers · 760 (as read 27 August 2026)#33
@aiplusme · 8,130#34
@MINES_Prediction_v20 · 6,948#35
@pipsmasteracademy804 · 1,733#36
@Aadhyatmik_Sahitya · 5,824#37
@nimcet_resources · 1,999#38
@computercourse18 · 4,975#39
@tatvamasiyouthclub · 380#40
@Tefl8 · 76#41
@gujarat_naukri · 2,697#42
@mainframestudymaterial · 3,526#43
@LandCruiser33 · 24#44
@Rishikeshkumar1 · 27,220#45
@BnssNewEducation2024 · 88 (as read 27 August 2026)#46
@PSYCHOLOGYISUS · 15,996#47
@Brahmacharya · 34,869#48
@dharmakikhoj · 5,941#49
@computerinsititute · 2,144#50
@actress_edits · 637#51
@SWEETY_IPL_CRICKET_BETTING_TIPS · 13,999#52
@malviyasir · 1,234#53
@shmnizami · 1,409#54
@scribe_volunteers · 1,487#55
@Drjuvansinh_jadeja · 6,099#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 · 44,927
Telegram ranks this channel #4 of 48 here — alongside 47 others — read 27 August 2026
@GULABGURU · 108,272
Telegram ranks this channel #6 of 56 here — alongside 55 others — read 14 August 2026
@cagurujii · 29,180
Telegram ranks this channel #18 of 65 here — alongside 64 others — read 8 September 2026
@findjobsvacancy · 23,543
Telegram ranks this channel #44 of 65 here — alongside 64 others — read 17 September 2026
@fintaxpro · 41,423
Telegram ranks this channel #44 of 75 here — alongside 74 others — read 30 August 2026
@Rishikeshkumar1 · 27,220
Telegram ranks this channel #61 of 63 here — alongside 62 others — read 10 September 2026
This channel appears in 6 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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“Learn More” (@learnmoreindia), 46,070 subscribers as measured 9 October 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.