Silk Road Finance & Tech Forum Said, Daler, and I visited the Forum today. It was great connecting with old friends, partners, and students. Very solid for the first major FinTech conference in Uzbekistan.
❤66🎉11🔥7👍5

Channel
@valeranotes
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
7,774subscribers
+175 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001188644050 |
|---|---|
| Type | Channel |
| Username | @valeranotes |
| Created | 29 July 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/valeranotes |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 17:21 | 7,774 | -26 |
| 3 Sept 2026, 01:07 | 7,800 | -22 |
| 30 Aug 2026, 15:25 | 7,822 | -5 |
| 27 Aug 2026, 16:12 | 7,827 | +2 |
| 24 Aug 2026, 19:24 | 7,825 | +25 |
| 20 Aug 2026, 19:16 | 7,800 | +98 |
| 17 Aug 2026, 12:33 | 7,702 | +5 |
| 14 Aug 2026, 07:07 | 7,697 | +11 |
| 10 Aug 2026, 22:34 | 7,686 | +89 |
| 7 Aug 2026, 23:05 | 7,597 | -2 |
| 7 Aug 2026, 01:30 | 7,599 | no change |
| 7 Aug 2026, 01:19 | 7,599 | first reading |
39 posts held, back to 26 June 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 18 pages of 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 24 August 2026 |
|---|---|
| Posts held | 39 (26 June 2026 – 24 August 2026) |
| Views total | 63,800 |
| Reactions total | 2,084 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 20:26 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.
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
4,740 reactions across 39 posts, in 16 distinct kinds. The most used accounts for 54.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,566 | 54.1% | |
| 💯 | 734 | 15.5% | |
| 🔥 | 496 | 10.5% | |
| ❤🔥 | 277 | 5.84% | |
| 👍 | 270 | 5.70% | |
| 🥰 | 144 | 3.04% | |
| 🕊 | 49 | 1.03% | |
| 😎 | 45 | 0.949% | |
| 💔 | 39 | 0.823% | |
| 🏆 | 25 | 0.527% | |
| 🤩 | 24 | 0.506% | |
| 👏 | 16 | 0.338% | |
| 🍾 | 15 | 0.316% | |
| 🎉 | 15 | 0.316% | |
| 😍 | 14 | 0.295% | |
| 🤯 | 11 | 0.232% |
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 39 of the 39 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 4,740 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 26 June 2026 to 24 August 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.
Silk Road Finance & Tech Forum Said, Daler, and I visited the Forum today. It was great connecting with old friends, partners, and students. Very solid for the first major FinTech conference in Uzbekistan.
❤66🎉11🔥7👍5
The problem is not that you are socially awkward, lack skills or are lazy. Everyone is to an extent. The problem is that you let those weaknesses stop you from trying again and again until you get it right.
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Mark my words. You will see a unicorn from Freshman alumni by 2036.
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Question from an attendee at a recent Freshman event: —Hey, you also work here? —Yeah, sort of. —What do you do? —Helping here and there. Decoupling your personal image from the company brand has been one of the most challenging but rewarding goals. Keeping it low-key allows you to focus on things that matter.
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My goddaughter flew from Armenia today and visited the Freshman office. A new generation is growing up.
❤161🥰57❤🔥36👍9🏆3😎2🔥1
💥Consultation Giveaway with Valera Valera, Founder of Freshman Academy, has consulted students admitted to Harvard, Princeton, Yale, Cornell, Columbia, UPenn, Stanford, UC Berkeley, Brown, and many more. Win 3 consultations with Valera, worth $360, by following the instructions and pressing the button below. Apply through the Freshman Bot: @FreshmanAcademy_bot
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Sometimes I wonder whether we truly want something, or whether we merely hope to be the kind of person who wants it. Do we genuinely want, for instance, to drag ourselves to the gym in the morning? Or do we simply wish to see ourselves as the sort of person who strives for health and discipline? We implicitly believe that worthy people desire worthy things. And regardless of how virtuous we actually are—especially…
❤74💯16❤🔥13😍4👍2
Dr. Toh Han Shih, author of Is China an Empire? and Chief Editor of Asia Bio Inc., presents a quote from Vladimir Norov, Uzbekistan’s former foreign minister and former SCO secretary-general, during a seminar at Freshman Academy. Huge thanks to Dr. Toh for joining us and to Nigel for facilitating the seminar.
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AI agents can now help run dozens of social media accounts, including content creation, posting, comments, and more. Bots, fake accounts, and robots already constitute much of the internet. And this process will only accelerate. In the futuristic game Cyberpunk 2077, the Old Internet becomes dangerous and AI-infested. Authorities create the so-called Blackwall to separate the "dead internet" from the usable one. I…
💯53❤🔥24❤12💔5
A much-deserved retreat for the Freshman team. Got 15 or so Freshman staff together at a dacha for the weekend. Super hyped for Makhachev-Garry tomorrow. Do join the Freshman team. I heard it’s fun.
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How about independencemaxxing: financial, intellectual, psychological.
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Startup fundraising is the easier part. Generating sustainable revenue is way harder. The latter is truly worth celebrating.
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Showing the 12 most recent of 39 posts we hold for @valeranotes. 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.
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 8 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“Valera Notes” (@valeranotes), 7,774 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/valeranotes.
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.