Channel
@havryliakonair
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,764subscribers
-15 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001291486893 |
|---|---|
| Type | Channel |
| Username | @havryliakonair |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/havryliakonair |
Other / unclassifiable — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 |
|---|---|---|
| 16 Sept 2026, 02:20 | 1,764 | -5 |
| 3 Sept 2026, 01:45 | 1,769 | -1 |
| 28 Aug 2026, 02:48 | 1,770 | -3 |
| 25 Aug 2026, 03:16 | 1,773 | -1 |
| 22 Aug 2026, 02:26 | 1,774 | -2 |
| 16 Aug 2026, 05:47 | 1,776 | -2 |
| 12 Aug 2026, 07:55 | 1,778 | -1 |
| 6 Aug 2026, 07:01 | 1,779 | no change |
| 6 Aug 2026, 05:00 | 1,779 | first reading |
20 posts held, back to 12 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages 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 11 June 2026. An engagement rate over an empty window would be a number about nothing.
108 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 47 | 43.5% | |
| 👍 | 29 | 26.9% | |
| ❤ | 28 | 25.9% | |
| 🤔 | 2 | 1.85% | |
| 🐳 | 1 | 0.926% | |
| 👎 | 1 | 0.926% |
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 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 108 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 12 December 2024 to 11 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.
We’re entering a period of mega AI IPOs that could absorb a significant amount of market liquidity over the next few months. My base scenario: 1. Successful AI IPOs attract massive capital, forcing investors to sell stocks, gold, and crypto to participate. 2. Initial enthusiasm drives valuations higher, but as lockups expire and supply increases beyond the initial float, many of these companies struggle to justify…
👍7🔥2
Since 2022, I’ve been looking at the world through the lens Ray Dalio framed in The Changing World Order. I just watched this interview with Professor Jiang, and it made a lot of sense in terms of what is happening globally right now — and what our personal response to it could be. Kind of tactical addition to Dalio’s cycles. It resonates with many of my own beliefs, especially around long-term thinking, family st…
🔥5
Watched podcasts with Ilya Sutskever and Andrej Karpathy over the weekend: — Ilya Sutskever on human-like AI, philosophy, evolution, and the next era of research — Andrej Karpathy on the end of coding, progress in AI agents, and how modern AI R&D is evolving My personal takeaway: we need to tone down the global AI panic a bit. - Too much of the conversation is still stuck between hype and fear. - Too many scary pr…
👍2🔥2
Expanding human agency. A year ago, building a personal website still felt like work. Today, I built mine in under 2 hours with VS Code + Claude. AI is collapsing the distance between thought and execution. For founders, creators, and independent thinkers, the bottleneck is no longer code. It’s clarity, taste, and iteration. Soon, your website won’t just present you. It will act on your behalf in A2A and A2H inter…
🔥6👍1
Great reading on VC funding nature & latest dynamics: https://x.com/archetypevc/status/2029217640376361189
👍2
Someone built http://Startups.RIP a directory of 5,700+ failed YC startups with post mortems, deep analysis, and rebuild plans so you can revive dead ideas and turn them into new projects.
🔥6👍3
Worth reading report by Anthropic https://cdn.sanity.io/files/4zrzovbb/website/dc7bcd0224644fce97cecb7f9e68dcd8434b35f1.pdf
👍3🔥1
We recently launched ATaaS — a new framework for tokenizing AI Agents built on Meteora DBC / Solana. How it works - 80% of tokens are automatically vested over 48 months with a 6-month cliff - 20% of tokens go to a bonding curve for initial price discovery and liquidity Why this matters Instead of asking a market maker to snipe 80–90% of supply at launch, 80% of the supply is locked from day one, with long-term unl…
🔥3❤1👎1
Worth reading the annual State of Crypto report⚡️ https://stateofcrypto.a16zcrypto.com/
🔥3
⚡️ Mira Network has officially launched their DevRel AI Agent — powered by Assisterr As more leading AI x crypto projects scale, they choose Assisterr for trusted infrastructure and real-world automation 📈 Over 200 projects now rely on Assisterr to deploy AI agents that boost growth, support developers, and serve their communities! Explore Mira’s AI agent →
🔥3❤1
$ASRR ON Kraken Big news is here 🎉 Trading is live More to deliver for the community
❤6
Such a great overview of our lifetime journey ❤️ https://youtu.be/hSFIicFoiW4?si=OndXwVJCGZgKYqvv
Showing the 12 most recent of 20 posts we hold for @havryliakonair. 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.
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.
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 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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Nick Havryliak ☸️” (@havryliakonair), 1,764 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/havryliakonair.
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.