Channel
@NanoChainNet
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
437subscribers
-521 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002620228908 |
|---|---|
| Type | Channel |
| Username | @NanoChainNet |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/NanoChainNet |
Crypto & trading — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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 |
|---|---|---|
| 18 Sept 2026, 19:36 | 437 | -149 |
| 11 Sept 2026, 00:36 | 586 | -112 |
| 1 Sept 2026, 15:19 | 698 | -88 |
| 25 Aug 2026, 04:56 | 786 | -90 |
| 18 Aug 2026, 12:52 | 876 | -82 |
| 10 Aug 2026, 18:02 | 958 | no change |
| 10 Aug 2026, 05:46 | 958 | first reading |
20 posts held, back to 13 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 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.
15,008 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 20.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 3,050 | 20.3% | |
| 🐳 | 2,101 | 14.0% | |
| ⚡ | 2,079 | 13.9% | |
| 👌 | 2,062 | 13.7% | |
| 👍 | 992 | 6.61% | |
| 😍 | 991 | 6.60% | |
| ❤ | 955 | 6.36% | |
| 🔥 | 945 | 6.30% | |
| ❤🔥 | 937 | 6.24% | |
| 🤩 | 896 | 5.97% |
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 19 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 15,008 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 13 June 2026 to 7 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.
NanoChain is pushing toward a web that can sense, remember, and stay accountable, without mixing responsibilities into one fragile pipeline. Everyday interactions belong on NARO, where gas-free social activity + from communication to identity and reputation + remains fast, accessible, and decentralized. When economic value, governance, or cross-chain coordination enters the picture, NANCH provides a hardened settle…
If the idea of a social chain sounds good but usually ends in central servers and blind trust, NanoChain takes a different route. NARO runs directly in the browser and synchronizes peer-to-peer, enabling real-time social interactions without relying on centralized infrastructure. When activity reaches consensus, NANCH finalizes the resulting state through PoA settlement, creating an auditable timeline that anyone c…
⚡182🐳177💯150👌142
NanoChain TGE Framework Update The NanoChain Token Generation Event (TGE) will be activated once the $3M presale funding milestone is reached. This is more than a fundraising target. It represents a strategic launch-readiness threshold that aligns token generation with sufficient liquidity, infrastructure maturity, security validation, and long-term ecosystem sustainability. Meanwhile, NanoChain continues its evol…
💯250🐳168⚡152👌150👍96❤🔥83🔥83😍82
NanoChain assumes things can go wrong and designs for that reality. Instead of relying on perfect conditions, the protocol is built with registry-based upgrades, circuit-breaker style deactivation, quorum rules, and bounded scoring to keep critical systems predictable and under control. These mechanisms make the network recoverable, auditable, and manageable, even during unexpected failures or adversarial conditions…
👍190🔥188😍188💯178❤🔥171❤170🤩154👌8
NanoChain is built so users do not have to think about layers. Users can write notes, coordinate agreements, build reputation, and interact directly in a peer-to-peer, browser-native environment, without worrying about the underlying infrastructure. When those actions gain economic significance, the system commits them to the NANCH EVM settlement layer, transforming everyday interactions into permanent, replayable,…
💯200❤🔥190😍188🔥187❤169👍164🤩150⚡44
NanoChain is designed for social builders who refuse to choose between speed and truth. Let NARO handle everyday interactions + chat, identity, reputation, and collective memory + with gas-free execution designed for real-time user experiences. Once activity reaches consensus, the resulting state is committed to NANCH, creating a replayable, verifiable, and auditable settlement trail that any third-party applicatio…
💯129👍96🤩94😍87❤85🔥83❤🔥70🐳35
In many AI-driven chains, the hidden failure mode is simple: off-chain signals become authority without limits. NanoChain treats every signal as an input that must satisfy strict protocol constraints, using BPS scoring, limiters, nonces, deadlines, and domain separation to keep core invariants enforced on-chain. AI can contribute intelligence, recommendations, and analysis, but it cannot override protocol rules or …
💯231😍214👍213🔥209❤196❤🔥191🤩186🐳39
Cross+chain communication should be built on rules, not assumptions. BridgeAI is NanoChain's secure cross+domain framework, designed to move messages and digital assets with verifiable control+not blind trust. Instead of relying on simple bridge logic, BridgeAI combines weighted validators, dual TokenModes, strict nonces, and execution deadlines to ensure every action remains measurable, bounded, and resistant to re…
💯115⚡104👌98🐳97❤🔥13😍13❤11👍9
When governance matters, AI should guide decisions, not make them. NanoChain's GovernanceAI is designed to strengthen decentralized governance while keeping final authority where it belongs + with the community and on-chain rules. It combines OracleAvg, RepAvg, RiskAvg, and AdvisorAvg into a transparent BPS (Basis Points) score, then recommends one of three outcomes: Approve, Reject, or Review. Every recommendation…
💯145❤142👍127🤩124😍114❤🔥113🔥101
NanoChain treats security like part of the user experience, not an afterthought. SmartScan analyzes smart contracts, generates weighted risk findings, and can connect those results directly to the reputation system, allowing trust and visibility to reflect actual on-chain behavior. Instead of isolated warnings, security becomes a usable control surface that developers can integrate into wallets, marketplaces, govern…
💯127⚡120👌118🐳100❤1
AI should optimize network costs, not become another attack surface. NanoChain's AdaptiveGas continuously learns from real network activity while remaining resistant to manipulation. It analyzes historical gas behavior through a ring buffer, optionally combines trusted oracle data, and generates dynamic fee recommendations using Trend or Oracle strategies. Every recommendation is bounded with BPS (Basis Points) cla…
⚡183🐳156💯147👌124😍19👍15❤14🤩13
Not every external signal deserves to become on-chain truth. NanoChain’s AiOracle treats external data as evidence, not authority. Multiple signed reports are aggregated using methods such as Median, Mean, or Weighted Mean, but no value is accepted until the required quorum is reached. If reports conflict, appear inconsistent, or fail validation, the protocol simply rejects the signal and follows the safer execution…
💯116🐳113👌104⚡96
Showing the 12 most recent of 20 posts we hold for @NanoChainNet. 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.
Named by 1 registered channel — 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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“NanchNet” (@NanoChainNet), 437 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NanoChainNet.
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.