Channel
@SimplicityGroup
On this record: Growth · Engagement · Reactions · Stars · Posts · Telegram's recommendations · Cite this entry
1,820subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001584392631 |
|---|---|
| Type | Channel |
| Username | @SimplicityGroup |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/SimplicityGroup |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 10:35 | 1,820 | -2 |
| 20 Aug 2026, 04:18 | 1,822 | +1 |
| 12 Aug 2026, 17:56 | 1,821 | -4 |
| 7 Aug 2026, 13:37 | 1,825 | no change |
| 7 Aug 2026, 08:46 | 1,825 | first reading |
20 posts held, back to 18 May 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 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 20 (18 May 2026 – 3 August 2026) |
| Views total | 858 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:27 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.
128 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 32.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 42 | 32.8% | |
| ❤ | 36 | 28.1% | |
| 👍 | 24 | 18.8% | |
| 🤝 | 12 | 9.38% | |
| 👏 | 7 | 5.47% | |
| 🤯 | 6 | 4.69% | |
| 👎 | 1 | 0.781% |
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 19 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 128reactions 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 18 May 2026 to 3 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SimplicityGroup. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 18 May 2026 to 3 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Over 2,000 investors have invested in a crypto round since January 2025, yet only around 250 have done five or more deals. We our sharing our internal tool that we've used to help our clients raise $2M+ in the last 3 months. Our Investor Matchmaker Tool helps: 🟢 Benchmarks against 2,500+ announced rounds: median, percentiles, where your target. 🟢 Finds the 12 most suitable lead targets, funds that have priced rou…
❤4🔥4🤝2
We built a free token modelling tool to let you simulate your token price based on some tokenomics and buy pressure inputs. It runs a Monte Carlo simulation and showcases price, revenue, buy/sell pressure, emissions, and other useful data. Try it out here: https://tokenomics.simplicitygroup.xyz/ Video how-to: https://www.youtube.com/watch?v=dy0aFYTV_lQ
❤4
Two Logos Are Not A Partnership: Crypto loves to use partnerships for marketing, but two logos blasted on a post are not a real partnership. · Three tests before any deal: do the ICPs actually overlap, is there an integration that creates new revenue rather than visibility, and does the outreach match how the other side buys Examples of Good Partnerships: · Securitize x BlackRock: BUIDL passed 2.5bn dollars in AUM…
❤4👍4👎1
We outlined our GTM approach for Digital Asset Businesses: • Five phases run as a loop: discovery, market penetration strategy, brand growth strategy, then execution on both. Rush discovery and every downstream decision compounds the error • Four arenas to penetrate, each on its own timeline and stakeholder: ecosystem, partnerships, clients, and capital • Warm intros beat cold outreach by roughly 10x on reply rate…
❤4🤝2👍1
Swap your name for a competitor's in your positioning statement. If it still reads fine, you do not have a position. What our article covers ∙ Three frameworks that work in combination: Dunford maps the components, Moore writes the 17-second statement, Ries and Trout choose the category ∙ Hyperliquid, Pendle and Ondo each created a subcategory they were structurally first in rather than fighting for "best L1" or "b…
🔥3🤝2👍1
GTM Campaign Highlight: Backpack Friday Points • Backpack pays points every Friday based on that week's trading volume, with ranks that reward frequent repeat trading over a single whale-sized trade, all pointing at a confirmed 25% community token allocation. • 650,000+ KYC-verified users by October 2025, up from 500,000 in March 2024, and $363B in lifetime volume by January 2026. Why it worked: A weekly payou…
👍2🔥2❤1
Most teams do not have a customer problem; they have an ICP problem. What our article covers ∙ Forrester: a clearly defined ICP drives 68 percent higher account win rates and roughly 3x sales productivity ∙ Lenny Rachitsky's finding across 30+ B2B founders: winning ICPs use three attributes, no more (how Gong, Snyk and Canva did it) Read here: https://x.com/SimplicityWeb3/status/2076603304570757145
👍2🔥2🤝1
Bit late on this one, but what happened to Bonk is a simple case of misaligned incentives, where the protocol opted for rewarding malicious behaviour with $20M instead of penalties. Our Co-Founder Alex talks about what happened exactly, and why DAOs are bad in most cases, and why they should be designed with care in cases where they're good (like Bonk). Read here: https://x.com/Alex_Fatuliaj/status/2075994201137840…
👍4🔥2
Dollar Shave Club Launch Video: GTM Campaign Highlight • Launched with a 90-second YouTube video that cost $4,500, mocking overpriced razor brands and pitching blades at $1 a month • 12,000 orders in the first 48 hours; 3.2 million subscribers and a $1bn cash exit to Unilever by 2016 It worked because the video was the positioning statement: it named the enemy, the buyer and the alternative in 90 seconds Thi…
👍6❤1
MiCA came into law on the 1st July, meaning compliance is now a legal requirement. If you're launching a token and want to target Europeans, you need to make sure you understand all the necessary steps. What it covers • MiCA classifies your token by what it does, not what you call it, and putting it in the wrong class (utility, ART, EMT) is a €5M mistake. • All 27 EU states and any project with EU users falls un…
🔥5🤯3
Our co-founder Daniel wrote an article prediction markets, and the only bull case that matters for them. At first glance they look like nothing more than a new venue for degens to gamble on. Look closer and they are a financial instrument reshaping how businesses hedge risk; the same job handed to options, which now sit beneath $846 trillion of derivatives. Far-fetched? The parallels to the rise of options are hard…
🔥5❤3🤯3
The industry matured from 'crypto' to digital assets, and a brand built for the earlier market is not fit for the one replacing it. We've been constantly building, learning, expanding, and with it so have our clientele, from crypto projects tinkering with code to publicly traded companies with millions in revenue. Our branding had to elevate, from simplicity to institutional trust. Whilst our trusted globe was a ke…
🔥6👏5❤4
Showing the 12 most recent of 20 posts we hold for @SimplicityGroup. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“Simplicity Group Alpha” (@SimplicityGroup), 1,820 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/SimplicityGroup.
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.