Channel
@pilotdao
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
1,401,143subscribers
-18,460 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1002200284430 |
|---|---|
| Type | Channel |
| Username | @pilotdao |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/pilotdao |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 12 Aug 2026, 19:07 | 1,401,143 | -4,218 |
| 11 Aug 2026, 17:56 | 1,405,361 | -2,493 |
| 10 Aug 2026, 20:24 | 1,407,854 | -3,582 |
| 9 Aug 2026, 20:21 | 1,411,436 | -3,810 |
| 8 Aug 2026, 18:16 | 1,415,246 | -3,968 |
| 7 Aug 2026, 17:31 | 1,419,214 | -389 |
| 7 Aug 2026, 13:32 | 1,419,603 | first reading |
20 posts held, back to 2 January 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 16 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 19 June 2026. An engagement rate over an empty window would be a number about nothing.
193 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 41.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 80 | 41.5% | |
| 🔥 | 54 | 28.0% | |
| 👍 | 53 | 27.5% | |
| 👎 | 3 | 1.55% | |
| ❤🔥 | 1 | 0.518% | |
| 🥰 | 1 | 0.518% | |
| 🫡 | 1 | 0.518% |
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 193reactions 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 2 January 2026 to 19 June 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.
🛡 AML is now built into your portfolio Connect your wallets to Crypto Portfolio in PerpStats — and we automatically check them for “dirty” assets: mixers, sanctions, darknet, scams, stolen funds. No need to copy wallet addresses into third-party services. The risk score appears right next to each wallet in your portfolio. Two ways to run a check: 1️⃣ Automatic. Every connected wallet gets a 🛡 badge with a risk sco…
❤5👍3🔥2👎1
💸 HOW TO EARN IN DEFI IN 2026? Looping, Aave, and the Real Risks A new video is live on the channel, where together with Nikolay (@cryptophilos) from Turtle we break down real DeFi strategies that can generate yield on stablecoins without insane risks or the need to constantly monitor the market. 📺 In this video 🌀 How Pendle works and why it has become one of the key tools for advanced DeFi investors 🌀 How to lock …
👍3❤2🔥2
🟠 DIRTY CRYPTO: How to Avoid Getting Blocked Imagine this: you send a deposit to an exchange, and a few minutes later your account gets restricted, while support asks you to prove the source of funds. You’re not a scammer, but the system doesn’t care: if the coins once passed through a hack, scam, darknet market, or “gray” P2P activity, the responsibility often falls on the last holder. 📺 In the video, we break it …
❤4👍2🔥2👎1
🦞 Today, the public mint for Lobsters on TON goes live on Getgems This is not just another NFT drop. In my view, 🦞 Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Each Lobster is an NFT with a built-in AI agent inside: ⚫️ digital character with its own soul ⚫️ on-chain biography ⚫️ persistent memory ⚫️ and a unified identity across Telegram, Mini App, Claude, an…
❤9🔥9👍5🫡1
🟠 518 DAYS SINCE THE HALVING: ETHEREUM Is Holding ALTCOINS Back | An Honest Look at the Market A new podcast episode featuring Igor Pavlenko has just been released on the channel — according to Binance, he was the world’s top trader in 2020. It’s a hard-hitting and honest conversation: why “crypto doesn’t exist beyond BTC,” how he switched from being a long-biased trader to being 95% short-biased, and what he thinks…
❤5👍2🔥2
🟠 Quantum Computers: 9 Minutes to Crack Bitcoin. Myth or Reality? A new video is out about the “quantum threat” following Google’s estimate. In theory, a quantum computer might need only around 9–12 minutes to crack the keys of some blockchains — and that sounds genuinely scary. But is it really that simple in practice? 📺 In the video 🌀 How many physical qubits are needed, what coherence time is required, and why t…
❤5👍2🔥2
🎤 The crypto market is drying up: what to do with BTC, ETH, alts, and DeFi right now A new podcast is out on the channel. The guest is really interesting — Alexey Ten (Head of Growth at MEXC). We talk about the bear phase, why altcoins have become “unclear,” how the market is maturing through RWA/tokenization, and which DeFi strategies still make sense when the hype is gone. 📺 In the video 🌀 Why liquidity has been …
👍4❤3🔥3
⏰ Will a new PATRIOT Act-style law kill DeFi? How could the U.S. Treasury freeze your CRYPTO? A new video is out about a U.S. Treasury initiative: under the pretext of fighting money laundering, cartels, and cybercrime, they want the power to freeze digital assets without a court order. And the issue is no longer limited to CEXs — it could expand to DeFi protocols, smart contracts, and cross-chain bridges. 📺 In the…
❤5🔥4
⏰ WHICH ALTCOINS WILL DIE? What do crypto FUNDS see as the real opportunity? A new podcast is out on the channel with Egor Abramov (VC fund Contribution Capital) — we discuss how the crypto market has “grown up”: tokens no longer provide the familiar profit model, funds are moving into equity and projects with real cash flow, and the market is squeezing out weaker players. 📺 In the video 🌀 Why “retail is gone”: the…
❤3👍2🔥2
💼 Ray Dalio’s All-Weather Portfolio in 2026: Funds, Crypto, Gold, Real Estate, Oil? A new episode is out on the channel with Denis Gorev — we break down the global macro picture: the war/escalation around Iran, oil and logistics, inflation risks, expectations for the Fed rate, and why it may still be too early to “buy the dip.” 📺 In the video 🌀 What forecasts since November have actually come true? 🌀 Oil and inflat…
👍2
Mining Gold in Liquidity Pools: 💵 XAUT / 🥇 PAXG | DeFi Strategies by Vladimir Kasatkin A new podcast is out on the channel about tokenization and an RWA DeFi portfolio. RWA sounds like a “safe haven,” but in practice everything comes down to details: who holds the underlying asset, who issues the token, and what it’s actually backed by. 📺 In the video 🌀 What RWA is in simple terms and why this trend is taking off 🌀…
❤10👍5🔥3
💸 HOW THE FED CONTROLS THE DOLLAR — and Its Impact on BITCOIN A new episode is live on the channel. In this video, we break down how the Federal Reserve actually works — and why decisions on rates, balance sheet, and liquidity often have a bigger impact on the crypto market than any industry news. 📺 In the video ⚫️ How the Fed is structured and why it changes interest rates ⚫️ QE, QT, and what “net liquidity” reall…
❤3🔥2👍1
Showing the 12 most recent of 20 posts we hold for @pilotdao. 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.
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
8 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“🛩 Pilot DAO - Flying to WEB3 / CRYPTO” (@pilotdao), 1,401,143 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pilotdao.
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.