Channel
@cryptoalgebra
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,525subscribers
-39 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001560197193 |
|---|---|
| Type | Channel |
| Username | @cryptoalgebra |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/cryptoalgebra |
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 16 Sept 2026, 02:40 | 1,525 | -4 |
| 12 Sept 2026, 17:15 | 1,529 | -7 |
| 8 Sept 2026, 13:18 | 1,536 | -8 |
| 3 Sept 2026, 09:57 | 1,544 | -2 |
| 30 Aug 2026, 19:37 | 1,546 | -1 |
| 28 Aug 2026, 01:15 | 1,547 | -3 |
| 24 Aug 2026, 23:59 | 1,550 | -4 |
| 21 Aug 2026, 17:45 | 1,554 | -3 |
| 18 Aug 2026, 09:03 | 1,557 | -5 |
| 15 Aug 2026, 09:34 | 1,562 | -4 |
| 9 Aug 2026, 10:36 | 1,566 | +2 |
| 6 Aug 2026, 07:33 | 1,564 | no change |
| 6 Aug 2026, 01:00 | 1,564 | first reading |
23 posts held, back to 13 July 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 2 pages 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 23 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
29 reactions across 15 posts, in 2 distinct kinds. The most used accounts for 86.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 25 | 86.2% | |
| ❤ | 4 | 13.8% |
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 23 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 13 July 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.
Weekly Digest #240: 🐉 The QuickSwap Case Study: 4x Fee Efficiency powered by Algebra 🧩 Permissioned Pools are live on Algebra Integral 🦄 Algebra Responds to Uniswap’s Launchpad Entry 📰 American Banker Features Vladimir’s Commentary on Tokenized Deposits Read more here.
👍1
Uniswap now competes with the launchpads built on its infra. Algebra doesn't. 🫵 Own your factory: your fee parameters are yours 👛 Keep your protocol fees instead of paying them 💱 Embed your launch logic directly into the AMM via V4 Plugins 🤝 We build the ecosystem, you build the business Infrastructure shouldn't compete with its builders. Reach out to Algebra & join an ecosystem powering 100+ DEXs.
❤2👍2
Permissioned Pools are live on Algebra Integral. Built for RWAs, tokenized securities & other regulated assets. Control who can: ✅ Trade ✅ Provide liquidity Configured per pool, per token – fully modular. Institutional-grade exchange infrastructure for your DEX. Learn more: market.algebra.finance/plugin/permissioned-pools/
👍2
Permission granted soon. 🧩
👍1
Not all TVL is created equal. QuickSwap's Algebra-powered V3 has 76× less TVL than its legacy V2 on Polygon. Yet every $1 of liquidity generates: ⚡️ 4.1× more fees ⚡️ 17× more volume Capital efficiency > capital size. Full case study.
❤1👍1
A pool shouldn't have to migrate just because you want new functionality. With Algebra Integral, the Core stays the same while V4 Plugins define how each pool behaves. Upgrade pricing, fees, access control, and more – without redeploying the pool. Dare to try it out on your DEX? Start here: algebra.finance
👍2❤1
RWAs need liquidity that follows the market. Integral provides it. Hydrex on base now uses Algebra's NAV Plugin, allowing liquidity pools to reference external NAVs instead of relying on arbitrage. A new liquidity model for tokenized assets. Read more here.
👍2
Weekly Digest #239: ⚓️ NAV plugin is live on Hydrex powered by Algebra Integral 🐻 BrownFi is launching on Hemi with Integral 🧩 Algebra’s Way to Robinhood: From Camelot to Sheriff 🔧 ‘How to build a DEX plugin’ article Read more: medium.com/@crypto_algebra/algebra-weekly-digest-239-e483ac6d039c
👍2
🔥 The Algebra × Hydrex partnership was featured by TradeTech Eye (by FF News). The piece covers Algebra's NAV Plugin, enabling pools to track an onchain NAV oracle and automatically rebalance for tokenized RWAs on Base. Read more here.
👍1
DEXs MUST be flexible. Need dynamic fees, ALM, oracle pricing, or compliance? Algebra Plugins let you add them, without rebuilding your AMM. Learn how they work & how they compare to Uniswap V4 Hooks 🔗 here.
👍1
NAV-aware liquidity is now live on Hydrex, powered by Algebra Integral. The new NAV Plugin anchors pool pricing to an onchain NAV oracle and automatically rebalances when prices drift, all on Base. Built for RWAs, powered by Algebra's modular AMM infrastructure.
👍2
🚨 BrownFi is bringing Algebra Integral to Hemi. Why? Because one liquidity model isn't enough. 🏛️ Bluechips & RWAs → Oracle-priced liquidity 🐻 Memes, long-tail & low-volume assets → CLAMM With the support of Algebra Integral, BrownFi's native oracle-based AMM & Algebra's CLAMM now sit side by side under one stack, each covering the segment it fits best. One DEX. Two liquidity models. Powered by Algebra. ⚡
👍2
Showing the 12 most recent of 23 posts we hold for @cryptoalgebra. 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.
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 3 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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Algebra” (@cryptoalgebra), 1,525 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/cryptoalgebra.
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.