Community of Crypto Moneymakers and Farmers
Retrohunting, IDOs, NFTs, DeFi, analytics, and insights
Your must-read crypto channel
Any questions: @net_admin_global
Created
Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
55 measurements spanning 85 days, net -1,643. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 43,670–45,805 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
31 Oct 2026, 11:06
43,916
-29
30 Oct 2026, 12:00
43,945
-34
29 Oct 2026, 13:37
43,979
-31
28 Oct 2026, 15:10
44,010
-26
27 Oct 2026, 13:45
44,036
-15
26 Oct 2026, 17:05
44,051
-30
25 Oct 2026, 16:20
44,081
-16
24 Oct 2026, 18:00
44,097
-30
23 Oct 2026, 17:40
44,127
-23
22 Oct 2026, 20:40
44,150
-28
21 Oct 2026, 17:37
44,178
-47
20 Oct 2026, 12:19
44,225
-28
19 Oct 2026, 12:17
44,253
-37
18 Oct 2026, 14:17
44,290
-41
17 Oct 2026, 15:29
44,331
-30
16 Oct 2026, 16:50
44,361
-14
15 Oct 2026, 16:51
44,375
-36
14 Oct 2026, 18:08
44,411
-61
13 Oct 2026, 06:30
44,472
-118
8 Oct 2026, 22:16
44,590
first reading
Engagement
74 posts held, back to 10 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 169 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.0%
avg views ÷ 43,916 subscribers
Avg views / post
9,670
15 posts measured
Reaction rate
0.541%
reactions ÷ views · ER floor
Posts in window
15
of 74 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 23 October 2026
Posts held
74 (10 July 2026 – 23 October 2026)
Views total
145,120
Reactions total
785
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 15:48 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.
What this channel posts
Photos
594
Videos
11
Links
580
Lifetime counters from Telegram’s own channel header, read 31 October 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.
Reaction mix
4,265 reactions across 74 posts, in 11 distinct kinds. The most used accounts for 15.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
674
15.8%
👍
591
13.9%
🔥
571
13.4%
🎉
564
13.2%
🤩
539
12.6%
😁
288
6.75%
💯
278
6.52%
🥰
276
6.47%
😍
242
5.67%
❤🔥
241
5.65%
🕊
1
0.023%
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 74 of the 74 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 4,265 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 10 July 2026 to 23 October 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.
🌽 Binance Alpha puts $100K on Acurast (early volume gets boosted)
Acurast traders have another leaderboard to fight for.
Binance Wallet launched an ACU trading competition with $100K in equivalent rewards, and the mechanics are a little more interesting than the usual volume race.
Instead of counting every dollar equally, Binance applies higher multipliers to purchases made earlier in the campaign.
🟡 Competition me…
🌽 Axis Robotics is moving into its next airdrop phase (6% still in play)
Most testnet farms end when the snapshot hits. Axis Robotics has a different plan.
The project has completed the snapshot window for its pre-TGE contributor rewards, but that doesn't mean the farming story is over.
Axis has allocated 10% of its 1B AXIS supply to community contributors, divided between two seasons. And the second part is actuall…
🌽 Blackboard enters the points game (125K every week)
Another trading terminal is joining the farming meta, and this one already has several markets under one roof.
Blackboard launched Board Points Season 1, distributing 125K points weekly. The platform combines trading through Aster, Hyperliquid, Polymarket and other venues, so users can build activity without constantly switching between different interfaces.
An…
🌽 Fables TGE is almost here (your claim depends on one decision)
Fables is preparing to launch FABLES on October 20, but there's something more important than watching the first trading candle.
If you farmed LP Points on the Robinhood Chain DEX, you must choose how you want to receive your tokens before October 19, 02:00 UTC.
No saved choice = no Points claim. That's a pretty expensive mistake if you spent weeks pro…
🌽 NeoSoul DNA airdrop is live (don't forget the confirmation)
NeoSoul has already launched DNA, and now early users have a few days left to secure their airdrop allocation.
The team allocated 60M DNA, or 6% of the total supply, to its early community. But there's a catch: eligibility is based on wallets that passed Sybil screening, and checking your allocation alone isn't enough.
🟡 What to do:
💬 Open the checker
💬…
🌽 Pharos PROS airdrop is closing (claim it or lose it)
Pharos reminded users that the PROS airdrop claim window closes on October 31, roughly six months after the mainnet launch:And this deadline actually matters. Any tokens left unclaimed will return to the community reserve and be used for future campaigns and rewards. So if you farmed Pharos and still haven't collected your allocation, there's no reason to keep w…
🌽 Base introduces Earn & Borrow (Aave + Morpho inside apps)
Base introduced Earn & Borrow — a new service built on Aave and Morpho that lets users earn yield on stablecoins and borrow against crypto collateral. The important part is the distribution layer. Users won’t need to jump into separate DeFi platforms every time — apps that integrate Base’s solution can offer these flows directly inside their own interface.
…
🌽 JUMP pre-market is live on Aspecta (Jumper gets a $120M FDV start)
JUMP pre-market trading started yesterday on Aspecta BuildKey, with Jumper opening at a $120M FDV. This is where the Jumper game moves from XP, Legion allocation drama and waitlist scoring into price discovery before TGE. Users can trade both Long and Short positions with market and limit orders, while Aspecta removes the usual forced liquidation r…
🌽 Catalyst opens waitlist (AI agent for trading strategy)
Catalyst introduced an AI agent that can analyze trade ideas, build strategies, track market events and execute trades. The project is still in testing, but the backers are already serious: Catalyst raised $30M in a round led by Sequoia, with Jump, Lux Capital and other funds also participating.
This is exactly the type of AI x trading product worth tracking…
🌽 TxFlow campaign goes live on Layer3 (perp volume race)
Layer3 launched a new campaign with TxFlow, an L1 built for onchain finance with its own Perp DEX. The interesting part is that TxFlow processes orders, execution and margin management directly onchain. So this is not just another front-end trading task — it’s a way to test a full perp stack built at the network level.
🟡 Campaign details:
💬 Trade perpetual fu…
🌽 Nado may be getting closer to $INK airdrop
Something interesting appeared in Nado docs: an API method called `ink_airdrop`, which lets users check how many $INK tokens are allocated to a specific address.
Docs page
No official TGE date, no claim launch, no final announcement yet. But the technical allocation checker is already there — and that usually means the team is preparing the backend for the next step.
🟡…
🌽 Injective launches Trench Treasury (INJ rewards for ecosystem growth)
Injective Foundation launched Trench Treasury — a new reward program for projects and communities bringing users and developers into the Injective ecosystem. The first INJ rewards will go to Sprout and RunUp communities. Distribution criteria and timelines will be shared separately by the project teams.
This is not a “claim now” situation yet. …
❤12🎉10🔥10👍8🤩7😁5
Showing the 12 most recent of 74 posts we hold for @FarmerCrypto. 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.
Mentions
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.
Channels Telegram recommends alongside this one
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.
Share the latest platform @trjrtjjdfhr · 16,070#77
Read from Telegram’s recommendation API, most recently 28 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.
Appears in Telegram’s recommendations for other channels
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.
Growth Hacker @gr0wth_hack · 68,979 Telegram ranks this channel #4 of 66 here — alongside 65 others — read 22 August 2026
Crypto Aunt @milfz_crypto · 105,682 Telegram ranks this channel #13 of 67 here — alongside 66 others — read 22 August 2026
UrgentDrop @UrgentDrop · 54,621 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 23 August 2026
Sin Unicorn 🦄 @sinunicorn · 98,124 Telegram ranks this channel #23 of 72 here — alongside 71 others — read 22 August 2026
Crypto Noob @CryptoNoob_en · 73,501 Telegram ranks this channel #24 of 78 here — alongside 77 others — read 19 August 2026
Ecom: The Future. AI, Innovation @ecommerce_AI · 52,527 Telegram ranks this channel #27 of 64 here — alongside 63 others — read 22 August 2026
Crypto Showcase @crypto_showcase_en · 55,678 Telegram ranks this channel #33 of 82 here — alongside 81 others — read 23 August 2026
Satoshi Tweeted @satoshi_e · 88,651 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 19 August 2026
(not)Sad Hamster @notSadHamsters · 65,352 Telegram ranks this channel #48 of 78 here — alongside 77 others — read 20 August 2026
Крипто ТВ @CryproTV_ru · 18,458 Telegram ranks this channel #52 of 72 here — alongside 71 others — read 3 October 2026
Crypto TV @CryproTV_en · 148,960 Telegram ranks this channel #69 of 83 here — alongside 82 others — read 19 August 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
23 domains this 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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“Crypto Farmer 🌽” (@FarmerCrypto), 43,916 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/FarmerCrypto.
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.