Channel
@defitools_trending
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
290subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001263191639 |
|---|---|
| Type | Channel |
| Username | @defitools_trending |
| Description | Trending tokens from https://www.coingecko.com https://www.dextools.io/app https://app.moontools.io Developed by @mafaiq Community - @WolfCryptoPub ANN - @WolfCryptoANN |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/defitools_trending |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 23:02 | 290 | no change |
| 6 Aug 2026, 22:55 | 290 | first reading |
20 posts held, back to 27 November 2021 — 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 pageof 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 23 December 2021. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
🔥Now trending on DEXTools UNI🦄 🔊 Kiba Inu KIBA 10.23% 🟢 1. Ribbon Finance RBN 22.14% 🟢 2. Shibnobi SHINJA -16.26% 🔴 3. Mongoose MONGOOSE -4.24% 🔴 4. BunnyVerse BNV -45.53% 🔴 5. Tigger Inu TIGGER 6. Alien Inu ALIEN -35.71% 🔴 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 Vader VADER 29.85% 🟢 1. GM Coin GM 11.27% 🟢 2. Mongoose MONGOOSE -31.74% 🔴 3. Merit Circle MC 1.36% 🟢 4. Tigger Inu TIGGER 5. Clifford Inu CLIFF -21.85% 🔴 6. Alien Inu ALIEN 41.18% 🟢 7. Kiba Inu KIBA 1.52% 🟢 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 Clifford Inu CLIFF 239.95% 🟢 🔊 Mongoose MONGOOSE 36.74% 🟢 1. Sidus SIDUS -8.71% 🔴 2. Kirobo KIRO -1.86% 🔴 3. Saitama Inu SAITAMA -4.92% 🔴 4. Shibnobi SHINJA 30.54% 🟢 5. MetaBrands MAGE -20.18% 🔴 6. Senator Karen KAREN 24.82% 🟢 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 Shibnobi SHINJA 2.09% 🟢 1. Saitama Inu SAITAMA -0.77% 🔴 2. MultiChainCapital MCC 3. Kori Inu KORI -25.11% 🔴 4. Kiba Inu KIBA 9.68% 🟢 5. Merit Circle MC 16.09% 🟢 6. Mongoose MONGOOSE -27.4% 🔴 7. RoboShib ROBOSHIB 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 CIA CIA 1. Kishimoto Inu KISHIMOTO 20.22% 🟢 2. Kiba Inu KIBA 18.52% 🟢 3. Saitama Inu SAITAMA -5.67% 🔴 4. Honey Badger HONEYBADGER 5. Merit Circle MC 1.37% 🟢 6. FLOKI FLOKI 29.27% 🟢 7. mini Mongoose MINIMONGOOSE 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 CobraGoose CBG 1. Saitama Inu SAITAMA 3.19% 🟢 2. Shibnobi SHINJA 44.36% 🟢 3. Lobby LBY 69.9% 🟢 4. Kiba Inu KIBA 14.31% 🟢 5. Chow Inu CHOW 6. mini Mongoose MINIMONGOOSE 7. Shibgoose SHIBGOOSE 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 Sipher Token SIPHER 15.65% 🟢 🔊 GM Coin GM -7.95% 🔴 1. Shibnobi SHINJA 48.34% 🟢 2. Saitama Inu SAITAMA -4.7% 🔴 3. Shiryo-Inu SHIRYO-INU 58.02% 🟢 4. Kiba Inu KIBA 12.71% 🟢 5. Guzzler GZLR -8.29% 🔴 6. Inuyasha INUYASHA -8.94% 🔴 7. Kounotori KTO 21.05% 🟢 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 RedFOX Labs RFOX -10.7% 🔴 🔊 FLOKI FLOKI -9.31% 🔴 1. Shibnobi SHINJA 48.34% 🟢 2. Kiba Inu KIBA 12.71% 🟢 3. Saitama Inu SAITAMA -4.7% 🔴 4. Shiryo-Inu SHIRYO-INU 58.02% 🟢 5. Guzzler GZLR -8.29% 🔴 6. Kounotori KTO 21.05% 🟢 7. Inuyasha INUYASHA -8.94% 🔴 8. StarLink STARL 9.07% 🟢 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 GM Coin GM 4.91% 🟢 1. Mongoose MONGOOSE 2. Kiba Inu KIBA 2.82% 🟢 3. Shiryo-Inu SHIRYO-INU -20.78% 🔴 4. Schrodinger KITTY DINGER 5.48% 🟢 5. Big Brain Capital DAO BBC DAO -30.7% 🔴 6. Luffy Inu LUFFY -14.02% 🔴 7. The Truth UFO -14.16% 🔴 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 GM Coin GM 31.69% 🟢 1. Shibnobi SHINJA 120.04% 🟢 2. Big Brain Capital DAO BBC DAO -36.15% 🔴 3. Kiba Inu KIBA 3.91% 🟢 4. Kitty Inu KITTY -0.78% 🔴 5. Shiryo-Inu SHIRYO-INU 2.56% 🟢 6. Luffy Inu LUFFY 14.53% 🟢 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 GM Coin GM -19.27% 🔴 1. Merit Circle MC -25.22% 🔴 2. Kiba Inu KIBA -26.05% 🔴 3. Megaweapon $WEAPON -25.28% 🔴 4. Big Brain Capital DAO BBC DAO 4.61% 🟢 5. Saitama Inu SAITAMA -2.23% 🔴 6. WAGMI Game WAGMI -13.36% 🔴 🐺Join @WolfCryptoANN for alpha🐺
🔥Now trending on DEXTools UNI🦄 🔊 Shibnobi SHINJA 40.07% 🟢 1. Merit Circle MC 14.07% 🟢 2. FREN FREN -10.21% 🔴 3. Kiba Inu KIBA -11.74% 🔴 4. Piccolo Inu PINU 19.92% 🟢 5. Engine Token ENGN 1.32% 🟢 6. WAGMI Game WAGMI 13.48% 🟢 7. Big Brain Capital DAO BBC DAO 44.52% 🟢 🐺Join @WolfCryptoANN for alpha🐺
Showing the 12 most recent of 20 posts we hold for @defitools_trending. 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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Trending Tokens (CoinGecko, DEXT & MoonTools)” (@defitools_trending), 290 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/defitools_trending.
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.