Channel
@shivamcainter
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,348subscribers
-35 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001834061886 |
|---|---|
| Type | Channel |
| Username | @shivamcainter |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/shivamcainter |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 18:17 | 4,348 | -9 |
| 29 Aug 2026, 14:56 | 4,357 | -8 |
| 26 Aug 2026, 21:33 | 4,365 | -7 |
| 23 Aug 2026, 17:05 | 4,372 | -10 |
| 20 Aug 2026, 02:02 | 4,382 | -1 |
| 19 Aug 2026, 06:15 | 4,383 | no change |
| 19 Aug 2026, 06:00 | 4,383 | first reading |
19 posts held, back to 27 March 2025 — 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 page of 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 2026. An engagement rate over an empty window would be a number about nothing.
111 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 91.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 102 | 91.9% | |
| 👍 | 4 | 3.60% | |
| 💯 | 2 | 1.80% | |
| 🔥 | 2 | 1.80% | |
| 🎉 | 1 | 0.901% |
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 18 of the 19 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 111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 March 2025 to 26 June 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.
🚀 Not from a Commerce background but want to become a CA? This video is for you! Whether you’re from Science, Humanities, or any other stream, I’ve covered everything you need to know. Watch and share! 👇 🔗 https://youtu.be/lbUQQwojSSo?si=dq32VRGWv7NqyIgG
❤1
🚀 Not from a Commerce background but want to become a CA? This video is for you! Whether you’re from Science, Humanities, or any other stream, I’ve covered everything you need to know. Watch and share! 👇 🔗 https://youtu.be/lbUQQwojSSo?si=dq32VRGWv7NqyIgG
📢 Hiring Alert – PwC Acceleration Centers (Kolkata) PwC is hiring CA Freshers for Tax roles in Kolkata. Eligibility: ✅ Qualified Chartered Accountants (Freshers) Location: Kolkata Domain: Tax Accounting Organization: PwC Acceleration Centers Interested candidates can share their updated resume or reach out for further details. Please share this opportunity with eligible CA freshers in your network. Repeated Que…
❤2
🚀 Just uploaded a video on the Top Big 4 Interview Questions that were repeatedly asked during my interviews with PwC, EY & KPMG. 💼 If you’re preparing for Articleship, Industrial Training, or placements, this could be useful. https://youtu.be/B52GzR1l-JM?si=gYYaG22PKTYQgf8C
❤1
🚀 Big 4 Interview Question Banks – Free Access As promised, here are the Top 25 Interview Questions & Answers across major domains for a CA Fresher: Direct Tax Finance Financial Due Diligence (FDD) Indirect Tax Internal Audit Statutory Audit 💡 Don't memorize answers—understand concepts and practice explaining them confidently. 🍀 Wishing you all the very best for your interviews. May you crack your dream role …
❤3
Finally uploaded my detailed video on “How to Get Big 4 CA Articleship Without Rank” covering referrals, CVs, LinkedIn, networking & actual practical strategy. 🚀 Watch till the end and comment down if you need a referral for PwC or want videos on any specific topic! https://www.youtube.com/watch?v=vpMREoqme1s
❤1🔥1
Big 4 & Top CA Firms HR Email List – Kolkata 📧 Sharing the HR email database of Big 4 and top CA firms in Kolkata for articleship applications and networking purposes. Use it professionally and send proper cold emails with a good CV. The remaining firms are still under process and should be out soon, so stay tuned.
❤1
Big 4 Articleship CV Format for CA Students 📄 Sharing a clean and professional CV template/sample for students preparing for Big 4 and top-tier firm articleship applications. I am sharing both the PDF and DOCX versions for easier understanding and formatting customization.
❤1
Being technically strong is useless if one unexpected question can silence you. ⚠️ https://www.linkedin.com/posts/shivam-saha_cas-have-cleared-the-toughest-exams-in-india-activity-7463933407215964160-bkND?utm_source=share&utm_medium=member_ios&rcm=ACoAAC_vPb4BbLc-8PlP9DfHqSQArC09mg6FZbA
❤3
Every CA student has felt this pain… but after seeing what’s happening with exams across the country today, this realization hit differently. 💔📚 https://www.linkedin.com/posts/shivam-saha_icai-charteredaccountant-neet-activity-7461726140747915264-wpFX?utm_source=share&utm_medium=member_ios&rcm=ACoAAC_vPb4BbLc-8PlP9DfHqSQArC09mg6FZbA
❤2
Photo, posted without a caption
❤6
Good luck 🤞
❤9🎉1
Showing the 12 most recent of 19 posts we hold for @shivamcainter. 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 — 61,192 of 1,629,808 entries 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.
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.
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.
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.
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 5 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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“CA Shivam Saha” (@shivamcainter), 4,348 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/shivamcainter.
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.