Channel
@CoremindAI_Announcements
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
343subscribers
-6 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002861557919 |
|---|---|
| Type | Channel |
| Username | @CoremindAI_Announcements |
| Created | Between 1 June 2025 and 14 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/CoremindAI_Announcements |
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 |
|---|---|---|
| 6 Oct 2026, 20:37 | 343 | -2 |
| 26 Sept 2026, 18:18 | 345 | -2 |
| 10 Sept 2026, 23:01 | 347 | -1 |
| 24 Aug 2026, 23:23 | 348 | -1 |
| 15 Aug 2026, 15:00 | 349 | no change |
| 15 Aug 2026, 14:45 | 349 | first reading |
20 posts held, back to 14 September 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 5 November 2025. An engagement rate over an empty window would be a number about nothing.
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.
172 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 54.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 94 | 54.7% | |
| ❤ | 44 | 25.6% | |
| 🤩 | 15 | 8.72% | |
| 👍 | 8 | 4.65% | |
| 👏 | 4 | 2.33% | |
| 👀 | 3 | 1.74% | |
| 💯 | 3 | 1.74% | |
| 🤪 | 1 | 0.581% |
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 17 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 172 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 14 September 2025 to 5 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Dear Coremind Community, The Coremind team announces that the project has officially ceased active operations. Current market conditions, volatility, and the broader downturn have made sustainable development impossible. Despite the depth of our vision and the immense support from our community, the project cannot continue in its present form. From the very beginning, Coremind was never just a token - it was an ex…
Anatomy of the Neuroshard: $CORE Values & Motivations Every clone operates under a unique set of internal drives - the need for security, the pursuit of achievement, or the desire for pleasure and ease. These values define what the clone strives for in every interaction: stability, performance, or enjoyment. They shape how it reacts under pressure, what it prioritizes, and how far it’s willing to go to reach its go…
Neuroshard Beta just became smarter in how it understands and organizes information. What’s new: - Proprietary LLM Modules (new systems for processing context in real time): fact extractor identifies and stores key data as you chat, thread summarizer builds context-aware summaries and meta overviews of conversations. - Memory Architecture Enhancements: hierarchical summaries (per thread, per topic, global), fact c…
❤4
What makes Neuroshard’s memory different from everything else out there? See the breakdown in $CORE Roundup #2 https://x.com/Coremind_AI/status/1980665999662731349
Neuroshard is learning to remember and to adapt. What’s new: - Memory Interface: a clear view into what your clone knows. See, edit, or expand its memory: add or delete facts, toggle autosave, or update knowledge manually. - Dynamic Personality: each clone now adapts its behavior based on memory and personality settings. Custom checkboxes let you enable or disable traits and functions. Why does it matter? These upd…
❤5👏1🔥1
Neuroshard Beta is evolving fast, here's what's new: - Interaction Tracking: full tracking of user–agent interactions, message count, and engagement density for better behavioral insight. - Message Integrity: duplicate message verification and automatic context refresh after every reply - ensuring clarity, precision, and cleaner continuity. - Admin Panel: transparent dashboard for clone creation and management. User…
🤩3❤2
It begins now. Beta sign-ups are open. Enter the next phase. https://coremindai.tech/beta-registrations $CORE https://x.com/Coremind_AI/status/1975993680466149585
🤩2🔥1
It’s happening. Tomorrow, Beta sign-ups open - and what’s ahead will redefine the game. Watch the glimpse $CORE https://x.com/Coremind_AI/status/1975635984592019808
❤3🔥1🤩1🤪1
What makes Neuroshard better than other tools? Watch the video from $CORE Roundup #2 https://x.com/Coremind_AI/status/1974171099421356155
🤩4❤1🔥1
Anatomy of the Neuroshard: $CORE Personality Every clone is grounded in the Big Five traits: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism. These dimensions define its reactions - from creativity to cooperation. It’s the foundation of individuality inside the system. https://x.com/Coremind_AI/status/1973452025623978458
🔥12❤2👏2
Dev Update Coremind just crossed three major thresholds in autonomy, integrity, and architecture. What does it mean? For the first time, it completed a fully autonomous task: spotting market anomalies, analyzing them, forming a strategy, and producing a comprehensive report, including a video recording. Consistency of logic confirmed. Every message is now cryptographically linked into an unbroken chain with hash,…
❤7🔥5🤩1
Coremind just turned its inside out. Until now, cognition looked like magic: input goes in, answer comes out. The middle was a black box. That era is over. What does it mean? We’ve launched a full processing transparency layer. Every response now shows its path: - message reception - semantic memory search - prompt construction (context + Qdrant memory + summaries + tone), - generative output A debug view reveals …
🔥10❤5👍2🤩1
Showing the 12 most recent of 20 posts we hold for @CoremindAI_Announcements. 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.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“CoremindAI | $CORE Announcements” (@CoremindAI_Announcements), 343 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/CoremindAI_Announcements.
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.