Channel
@top_network
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
271subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001239430896 |
|---|---|
| Type | Channel |
| Username | @top_network |
| Created | Between 1 March 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 | 7 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/top_network |
Technology — 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 23 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 |
|---|---|---|
| 7 Oct 2026, 07:22 | 271 | -4 |
| 26 Sept 2026, 11:40 | 275 | -1 |
| 13 Sept 2026, 10:39 | 276 | -1 |
| 5 Sept 2026, 10:00 | 277 | -1 |
| 27 Aug 2026, 13:28 | 278 | -1 |
| 6 Aug 2026, 23:30 | 279 | no change |
| 6 Aug 2026, 09:28 | 279 | first reading |
20 posts held, back to 27 November 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 4 August 2026. An engagement rate over an empty window would be a number about nothing.
6 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 33.3% | |
| 👍 | 2 | 33.3% | |
| 🔥 | 2 | 33.3% |
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 5 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 6 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 27 November 2025 to 4 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.
We're continuing to build business-specific Agents and refine enterprise workflows based on real user needs. Our platform has also added multiple latest-generation LLMs, giving teams more flexibility to explore and deploy AI. Follow along as we keep turning AI capabilities into practical enterprise solutions. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-july-22-2026…
TOP AI Network is advancing practical AI productivity: better-connected automated workflows across roles, expanded model options for external users, and a stronger foundation for enterprise AI applications. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-july-8-2026-july-21-2026-c79f32159216
👋 New TOP AI Network biweekly update is here. Quick highlight: we shipped multiple Agent sets + an MCP system platform, so enterprises can now build their own efficiency platform on real business workflows—no starting from zero. Full report below 👇 https://medium.com/top-network/top-ai-network-biweekly-report-june-24-2026-july-7-2026-157233fb8b2d
Our latest TOP AI Network biweekly update is now available.🙌 Over the past two weeks, the team has continued to focus on building agent architecture, platform capabilities, and AI services for enterprise users. We have also kept refining practical enterprise workflows through ongoing exploration of MCP and skills. This update highlights our current direction: steady progress on real-world enterprise AI adoption, wi…
❤2
✅TOP AI Network Biweekly Update Over the past two weeks, the team has continued developing the Agent Platform and adapting it to enterprise team needs. Several Agents have already been delivered to support real productivity scenarios, while MCP and skills are opening up more flexible paths for enterprise workflow automation. We'll continue refining these capabilities through real-world feedback and keep the commun…
The team continues focusing on the Agent platform, enabling more workflows through AI Agents to improve automation and productivity. We're also continuing enterprise support, platform optimization, and multi-Agent collaboration development. More updates soon. Find more here: https://medium.com/@topnetwork/top-ai-network-biweekly-report-may-13-2026-may-26-2026-cae0528cae9a
🚀 We've started building the Agent Portal — enabling multiple Agents to collaborate across workflows and boost productivity. Enterprise AI support continues to expand as we optimize platform performance and coordination capabilities. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-april-29-2026-may-12-2026-0a4029b25880
AI Agents are being rolled out across workflows, boosting efficiency. We're also supporting select enterprise use cases and optimizing models for AI hardware. Find more here: https://medium.com/@topnetwork/top-ai-network-biweekly-report-april-15-2026-april-28-2026-9aee8ff6d8ad
🚀 We're expanding enterprise support! Organizations can now manage model access, accounts, and usage quotas more efficiently on our platform. More teams are onboarding as we continue optimizing performance and scalability. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-april-1-2026-april-14-2026-9f822c10d8fc
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AI Agents are now powering internal workflows via OpenClaw, boosting team efficiency. More organizations are onboarding to our model platform, with ongoing improvements in performance and usage control. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-march-18-2026-march-31-2026-c02a674ebec8
🚀 The new model platform is running smoothly! Real-world use cases like OpenClaw are gaining traction, and preparations for TOP DEX are well underway. Find more in our biweekly report: https://medium.com/top-network/top-ai-network-biweekly-report-march-4-2026-march-17-2026-9d7c7ff5557c
We've just wrapped up our 7-day open testing period. Total usage surpassed 3.26B+ tokens, with Claude Sonnet & Opus leading adoption — and strong demand for multimodal models. Thanks for all the valuable feedback — performance optimizations are underway. More updates soon. https://medium.com/top-network/top-ai-network-biweekly-report-february-18-2026-march-2-2026-445bcc36e790
Showing the 12 most recent of 20 posts we hold for @top_network. 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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“TOP AI Network News” (@top_network), 271 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/top_network.
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.