All our contracts are open sourced on GitHub: Core protocol - https://github.com/LendsProtocol/contracts Locker/Vesting - https://github.com/LendsProtocol/locker-contracts Official docs - docs.lendspro.com
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Channel
@SuiteAnn
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Domains linked from posts · Cite this entry
43,181subscribers
-196 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001989745808 |
|---|---|
| Type | Channel |
| Username | @SuiteAnn |
| Description | Trade on SUI - @SuiSniperBot Trade on XRP - @XrpLedgerSniperBot Trade on HyperEVM - @HyperEVMSniperBot Community - @PortalSuite X - https://x.com/Suite_Token |
| Created | Between 1 May 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/SuiteAnn |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:26 | 43,181 | -22 |
| 13 Aug 2026, 14:36 | 43,203 | -17 |
| 12 Aug 2026, 15:53 | 43,220 | -36 |
| 11 Aug 2026, 13:15 | 43,256 | -24 |
| 10 Aug 2026, 11:50 | 43,280 | -29 |
| 9 Aug 2026, 14:14 | 43,309 | -33 |
| 8 Aug 2026, 12:43 | 43,342 | -35 |
| 7 Aug 2026, 14:00 | 43,377 | no change |
| 7 Aug 2026, 13:50 | 43,377 | first reading |
20 posts held, back to 9 June 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 20 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 21 July 2026 |
|---|---|
| Posts held | 20 (9 June 2025 – 21 July 2026) |
| Views total | 8,510 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 00:43 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
686 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 41.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 285 | 41.5% | |
| ❤ | 242 | 35.3% | |
| 👏 | 91 | 13.3% | |
| 👍 | 42 | 6.12% | |
| 😁 | 9 | 1.31% | |
| 🤝 | 9 | 1.31% | |
| 🏆 | 6 | 0.875% | |
| ❤🔥 | 2 | 0.292% |
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 20 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 686reactions 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 9 June 2025 to 21 July 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SuiteAnn. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 9 June 2025 to 21 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
All our contracts are open sourced on GitHub: Core protocol - https://github.com/LendsProtocol/contracts Locker/Vesting - https://github.com/LendsProtocol/locker-contracts Official docs - docs.lendspro.com
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$LENDS Tokenomics The total supply of $LENDS is 1 billion tokens: • 46% for liquidity • 34% for incentives (vested) • 10% for the team (vested) • 10% for the treasury (vested) The 34% incentives allocation will be distributed across 13 seasons, with each season lasting 4 weeks. Users can earn points by holding $LENDS and interacting with the protocol i.e. lending tokenized stocks and staking leUSD. At the end of ea…
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LendsLocker $LENDS liquidity and token allocations will be secured through our own onchain locking infrastructure. Our Uniswap v4 liquidity position has been deposited into the LendsLocker Liquidity Locker for 1 year. Liquidity lock tx - https://robinhoodchain.blockscout.com/tx/0xf7da4ecd325941c24f0d616adc6bca5d24eaf2b0e4dc7cf9b0738a83eab9da2d The vested part of the $LENDS supply will be deposited into the LendsLo…
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Introducing LENDS - a lending and yield protocol for tokenized stocks on Robinhood Chain. Lends Protocol lets you unlock stablecoin liquidity from supported stock positions without selling them, or supply stablecoin liquidity and earn a share of real protocol revenue. $LENDS is the ecosystem token that powers Lends Protocol. Holding $LENDS, lending RWAs and staking leUSD will earn you points that will convert into …
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✅ bankr.bot launchpad & Uniswap V4 are now fully supported in @RobinhoodTradeBot
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Bridge from ETH mainnet to Robinhood chain - https://app.staging.across.to/?from=ethereum&to=robinhood&inputToken=ETH&outputToken=ETH Bot - @RobinhoodTradeBot Supports all launchpads and dexes - NoxaFun, Uniswap V2&V3, DyorPump, DyorSwap
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✅ Swaps are working through @RobinhoodTradeBot
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Introducing Robinhood Trade Bot by SUITE - Best Trading Bot on Robinhood Chain ✅ Trade any token from NoxaFun & Uniswap V3 ✅ Multi-wallet ✅ Limit Orders ✅ DCA ✅ Wallet Copytrading 🔜 More features and tools soon! 👇 Share the bot to earn 35% of your friends' trading fees forever @RobinhoodTradeBot NOTE: Since Robinhood chain has not been officially released yet and existing RPC is unstable, there might be temporary …
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✅ @MonadTrenchBot has been switched to mainnet.
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Introducing Monad Trench Bot by SUITE - Best Trading Bot on Monad ✅ Trade on all major DEXes and launchpads ✅ Multi-wallet ✅ Limit Orders ✅ DCA ✅ Wallet Copytrading 🔜 More features soon! The bot will be switched to mainnet as soon as Monad Mainnet releases, but you can already create wallets and invite friends (all referrals will be saved for mainnet). 👇 Share the bot to earn 35% of your friends' trading fees fore…
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Limit Orders & Copytrading are now supported for Sparkle Launchpad in Plasma Sniper Bot and Plasma Wallet Tracker Bot Use the best trading tools on Plasma by SUITE
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Sparkle Launchpad is FULLY supported in @plasma_sniper_bot
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Showing the 12 most recent of 20 posts we hold for @SuiteAnn. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
10 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“SUITE Announcements” (@SuiteAnn), 43,181 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/SuiteAnn.
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.