Channel
@saileshbhupalam
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
2,975subscribers
-19 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001279107134 |
|---|---|
| Type | Channel |
| Username | @saileshbhupalam |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/saileshbhupalam |
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 30 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 30 Sept 2026, 06:18 | 2,975 | -19 |
| 15 Sept 2026, 21:57 | 2,994 | no change |
| 15 Sept 2026, 00:22 | 2,994 | first reading |
20 posts held, back to 25 April 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 20 posts for this entry, the most recent from 9 April 2026. An engagement rate over an empty window would be a number about nothing.
1,822 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 72.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,317 | 72.3% | |
| 👍 | 276 | 15.1% | |
| 🔥 | 159 | 8.73% | |
| 👏 | 54 | 2.96% | |
| 🥰 | 10 | 0.549% | |
| 🎉 | 2 | 0.11% | |
| 😱 | 2 | 0.11% | |
| 🤩 | 2 | 0.11% |
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 20 of the 20 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 1,822 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 April 2025 to 9 April 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.
I need a favor from you. I'm submitting research to the Supreme Court's National Task Force on Student Mental Health - a computational model of the UPSC preparation experience, backed by survey data from real aspirants. I need 1,000 responses for the data to carry weight. If you've prepared for UPSC (currently, previously, or cleared please take 10 minutes to fill this out. It's anonymous, and it's a small effort t…
👍51❤24👏7
I'm building a computational model of the UPSC ecosystem. One finding is concerning. UPSC preparation is getting cheaper. AI tutoring, free YouTube lectures, online test series at Rs 500. Coaching enrollments are declining. Sounds like progress, but the model says the opposite. Lower cost = more people enter. When preparation cost drops from Rs 4.5L/year to Rs 2L/year, the financial barrier that kept lakhs out…
❤47👏17🔥9👍7😱2
If anyone is working in blr police, please DM.
🔥6
Photo, posted without a caption
🔥26❤11
Sharing because many of you ask me the same question this time of the year.
❤43👍5👏1🔥1
A lot of my old students have come to meet me all the way to hsr layout over the last few months. We usually talk over tea about whatever is bothering them. Today there was a student that was remarkable in a way. He had come out of all influence from parents and any external pressures and charted a course for himself based on his own judgemt and complete ownership of whatever may happen as a result. This just made…
❤103🔥18👏3👍1
Preparing to do the thing isn't doing the thing. Scheduling time to do the thing isn't doing the thing. Making a to-do list for the thing isn't doing the thing. Telling people you're going to do the thing isn't doing the thing. Messaging friends who may or may not be doing the thing isn't doing the thing. Writing a banger tweet about how you're going to do the thing isn't doing the thing. Hating on yourself for…
❤114🔥20👍7🎉2
Thank you all for your wishes for teachers day, i am amazed at how many of you still remember me. grateful to have been a part of your lives. ☺️
❤75🤩2
Photo, posted without a caption
❤69🔥20👍18👏3
There is a major shift in upsc preparation. it started about 2 years ago, but expanding rapidly. Students who follow the traditional method of joining coaching and what older mentors tell them may face problems. Because now it's easy to get continuous feedback from chatgpt or claude. it can break down things which you don't understand like you're 10 years old. Even in job markets people using AI are replacing others…
❤78👍12🔥11
there are 2 types of drive/motivation 1> coming from trauma - revenge, jealousy, need to feel powerful, keep reliving painful past to get energised this is like drinking salt water, makes you more thirsty and you die unhappy even after you achieve your goal 2> coming from self expression - fun, art, game, liking the process, need to do what I love to do, keep getting excited about possibilities this is like drinking …
❤65🥰7👏6👍3🔥1
i learnt something new today. it seems everytime we do something new, a neural pathway is activated or formed, and when we repeat it, a myelin sheath is built around the pathway. the more number of times we do it, the stronger and faster the pathway becomes. and when the pathway is strong, the action automatically becomes a bit faster. so the practice could be slow, but the result could still be fast. on the other ha…
❤93👍15🔥10👏1🥰1
Showing the 12 most recent of 20 posts we hold for @saileshbhupalam. 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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“Sailesh Bhupalam - snippets from my learning” (@saileshbhupalam), 2,975 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/saileshbhupalam.
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.