Channel
@UniLendAnnouncement
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,639subscribers
-26 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001458961069 |
|---|---|
| Type | Channel |
| Username | @UniLendAnnouncement |
| Created | 6 August 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/UniLendAnnouncement |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 15:44 | 3,639 | -9 |
| 13 Aug 2026, 08:58 | 3,648 | -7 |
| 10 Aug 2026, 07:41 | 3,655 | -10 |
| 6 Aug 2026, 20:54 | 3,665 | no change |
| 6 Aug 2026, 17:45 | 3,665 | first reading |
20 posts held, back to 14 April 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 3 pagesof 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 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
68 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 42.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 29 | 42.6% | |
| ❤ | 24 | 35.3% | |
| 👍 | 11 | 16.2% | |
| 🎉 | 3 | 4.41% | |
| 🦄 | 1 | 1.47% |
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 16 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 68reactions 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 April 2025 to 7 August 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.
Welcoming DotPengu to our ecosystem!🎊 🐶DotPengu is the leading meme within the TON ecosystem, recognized for its strong community and growing momentum. 🤝 By joining forces, we will harness fresh synergies and drive cutting-edge advancements in the AI space. 🗣️Spread the word: https://x.com/UniLend_Finance/status/1953465333647278319 👥 Join us on social media: Telegram / Announcements / Twitter / Reddit / Discord
❤6
Join us in welcoming DeTV to our ecosystem!🎊 🎥DeTV is the world’s first Web3 short drama platform built on blockchain platform. 🤝By joining forces, we will harness and unlock fresh synergies to fuel cutting-edge advancements and redefine the future of AI. 🥂Together we will achieve new frontiers in web3! 🗣️Spread the word: https://x.com/UniLend_Finance/status/1951203606113530137 👥 Join us on social media: Telegra…
🔥2
Welcoming Cribble to our ecosystem!🎊 🏦Cribble is an AI agent layer built on top of diverse Web3 data, delivering unified and predictive intelligence tailored to each stakeholder. 🤝Together, we’re forging powerful synergies to shape the future of Web3 with groundbreaking AI Agents. ⚡️Let’s push boundaries and explore new horizons together! 🗣️Spread the word: https://x.com/unilend_finance/status/1950106313306071246…
Join us in welcoming Artura AI to our ecosystem!🎊 🤖ArturaAI is an intelligent AI assistant designed to automate repetitive tasks and think like your smartest teammate. 🤝 Through this collaboration, we will explore and harness innovative synergies, propelling advancements in the AI Agents space! 🗣️Spread the word: https://x.com/unilend_finance/status/1945864969188163857?s=46 👥 Join us on social media: Telegram / A…
Join us in welcoming Weblume to our ecosystem!🎊 ✨Weblume simplifies blockchain development, enabling anyone to build websites, smart contracts, and dApps with ease. 🤝 Together, we’re forging powerful synergies to shape the future of Web3 with groundbreaking solutions. ⚡️Let’s push boundaries and explore new horizons together! 🗣️Spread the word: https://x.com/UniLend_Finance/status/1944751579250520111 👥 Join us o…
Welcoming AssetMint to our ecosystem!🎊 🏦AssetMint is building next-generation RWA tokenization infrastructure to bring assets like real estate, debt, and income contracts on-chain with secure, compliant, and composable financial logic. 🤝 By joining forces, we will foster innovative synergies and unlock new opportunities in Web3 space. 🗣️Spread the word: https://x.com/unilend_finance/status/1944087443973845319?s=46…
🔥1
Welcoming Future XR to our ecosystem!🎊 ✨Future XR is an innovative decentralized platform designed to merge augmented reality (AR) with blockchain technology, creating a groundbreaking digital ecosystem. 🤝By joining forces, we will harness and unlock fresh synergies to fuel cutting-edge advancements and redefine the future of AI. 🥂Together we will achieve new frontiers in web3! 🗣️Spread the word: https://x.com/Un…
🔥3
Join us in welcoming Onmi to our ecosystem!🎊 🎮 Onmi is a treasure map AR RPG with an immersive storyline that will become a new worldwide go-to entertainment app. 🤝 Through this collaboration, we will forging powerful synergies to explore and unlock fresh possibilities in Web3 space. 🥂Let’s build, explore, and thrive together! 🗣️Spread the word: https://x.com/UniLend_Finance/status/1936093702667018483 👥 Join us …
🔥2
Welcoming GlobalSync to our ecosystem!🎊 🤖GlobalSync is a blockchain technology platform specializing in cross-regional, multi-asset collaboration. 🤝 By joining forces, we will explore and ignite powerful synergies to drive innovation in Web3 space! 🥂Cheers to charting bold new frontiers! 🗣️Spread the word: https://x.com/UniLend_Finance/status/1935708123991363914 👥 Join us on social media: Telegram / Announcement…
AI in Web3 = your safety net🛡️ 🤖It warns you before high gas fees, spots shady transactions, secures assets from hacks, and helps you make smart decisions! 🎙️Listen to the full episode now: https://x.com/unilend_finance/status/1884980044058996974?s=46 🗣️Spread the word: https://x.com/UniLend_Finance/status/1935092023146729838 👥 Join us on social media: Telegram / Announcements / Twitter / Reddit / Discord
🔥1🦄1
Welcoming Jessie to our ecosystem!🎊 🤖Jessie is world’s first AI-Agent integrating real-life applications with decentralized intelligence. 🤝By joining forces, we’re exploring powerful synergies to propel groundbreaking innovations and redefine the AI Agent space. ✨Let’s push boundaries together! 🗣️Spread the word: https://x.com/unilend_finance/status/1927077314703089836?s=46 👥 Join us on social media: Telegram / …
❤4👍1
Join us in welcoming Cover AI to our ecosystem!🎊 🏈Cover AI is an intelligent sports analysis assistant designed to help you make smarter, data-driven decisions. 🤝 By joining forces, we will explore and ignite powerful synergies to drive innovation in Web3 space. 🌐Here’s to charting bold new frontiers! 🗣️Spread the word: https://x.com/unilend_finance/status/1920505564234498345?s=46 👥 Join us on social media: Tele…
🔥4
Showing the 12 most recent of 20 posts we hold for @UniLendAnnouncement. 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.
Citation-graph rank — 168,167 of 1,481,243entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
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 3 seed channels' Telegram-generated recommendation lists 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 August 2026 — this entry's latest reading, not the date you are reading this.
“UniLend Finance Official Announcement” (@UniLendAnnouncement), 3,639 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/UniLendAnnouncement.
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.