Channel
@RocknBlockChannel
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
142subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002006613789 |
|---|---|
| Type | Channel |
| Username | @RocknBlockChannel |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/RocknBlockChannel |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 18:25 | 142 | +1 |
| 8 Aug 2026, 22:16 | 141 | no change |
| 7 Aug 2026, 23:16 | 141 | first reading |
16 posts held, back to 5 May 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 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 16 posts for this entry, the most recent from 17 February 2026. An engagement rate over an empty window would be a number about nothing.
245 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 50.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 124 | 50.6% | |
| 👍 | 58 | 23.7% | |
| ❤ | 28 | 11.4% | |
| ⚡ | 26 | 10.6% | |
| 🙏 | 5 | 2.04% | |
| 👏 | 2 | 0.816% | |
| 🏆 | 1 | 0.408% | |
| 😱 | 1 | 0.408% |
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 16 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 245 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 5 May 2025 to 17 February 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.
Exploring Privacy Stack in Anonymous Crypto Wallets Privacy is a big narrative right now. Our team recently did deep research on how different crypto wallets handle anonymity, and we’re starting a series of posts to share what we found. Today we’re diving into Cake Wallet — how it manages anonymity, the cryptography and network protections it uses, and the trade-offs involved in keeping transactions private. For t…
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Gm gm, builders ☀️ We’ve put together a curated list of 50 active blockchain ecosystem grants from leading chains and major projects. These grants go beyond funding—they also provide resources and ecosystem support to help your project grow. View the list of 50 active grants 👉 https://x.com/RockNBlockX/status/2004150822536728592
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Everyone’s talking about privacy Our new deep dive breaks down how stealth addresses add a privacy layer to Ethereum transactions. We cover the core concepts, key standards, and how projects like Fluidkey and Umbra Cash implement them. 🔗 Read full breakdown here Core Idea Ethereum is built to be public. Every tx, balance change, contract call — everything is visible on-chain. Once an address is linked to you, your…
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Our team’s heading to Devconnect in Buenos Aires 🇦🇷 We’ll be at the main event, meetups and everywhere in between. DM if you’re around — let’s connect!
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Prediction markets like Polymarket rely on accurate outcome resolution. We broke down how market resolution works with UMA Optimistic Oracle — from request → propose → dispute, how it’s backed by economic guarantees, and how it integrates in prediction markets. 👉 Read the breakdown here
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💡 Building an On-Chain Token Analytics – Case Study We recently finished building a platform that tracks new token launches, buyer behaviour, and liquidity in real time across major DEXes and launchpads in Solana, Base, Ethereum, and BNB Chain. Every token gets a profile with metadata, launchpad info, transaction details, and buyers previous activity. This makes it possible to spot coordinated buys and unusual earl…
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Stablecoins are one of the strongest narratives right now We just dropped a breakdown of Ethena's USDe, covering: • $USDe & $sUSDe mechanics • Yield generation & distribution • Delta-neutral hedging • Architecture & risks 📝 If you’re researching yield-bearing models, this post is for you: Inside Modern Stablecoin Architecture
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Great to see Web3 projects evolving and to be a part of it. Squirrel Wallet is building a self-custodial wallet with social recovery, multichain support, and provider-agnostic fiat rails and we’re honored to be their tech partner. 👉 Dive into architecture, recovery model, and design choices in our case study: Case Study: Self-Custodial Mobile Crypto Wallet
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Just published a new case study on integrating new networks into a fiat onramp. We added support for Solana, TON, Avalanche and Rootstock, implementing them within the client’s architecture with multiple abstraction layers to ensure secure and consistent transactions. 👉 Read the full case study: https://rocknblock.io/portfolio/wert
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New Research is out: The InfoFi Market How attention is becoming an on-chain asset, which platforms are leading the space, and who’s backing them. 👉 rocknblock.io/blog/infofi-narrative-research
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Just dropped a new case study: a production-ready Aave data indexer on Aptos 🎱 • gRPC Tx Stream → relevant data • Rust SDK filters → no overfetch • Parallel extract + Postgres upserts → scale • 1:1 mapping → analytics • Hasura GraphQL → query ready Check the results here: Blockchain Data Streams — Aave Events Indexer on Aptos
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Meet Rock'n'Block team this fall at KBW and TOKEN2049 Singapore! 🧑💻 Dmitry Ershov | CEO — the mind behind Rock'n'Block. Building, scaling, and solving real problems for Web3 founders since 2017. 🧑💻 Ilia St | CGO — shaping global growth strategy. Helping projects position, scale, and win in competitive markets. 🧑💻 Alexander Tkachev | CBDO — leading growth & partnerships. If you're looking to build, scale, or col…
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Showing the 12 most recent of 16 posts we hold for @RocknBlockChannel. 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“Rock’n’Block” (@RocknBlockChannel), 142 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/RocknBlockChannel.
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.