Interesting fact: of ~$390B in stablecoin payments a year, only ~1% ($4.5B) is cards. The rest is mostly B2B, remittances, treasury. Everyday spend is still the outer ring. We're early. Get it here 👉 https://app.falcon.finance/card
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Channel
@FalconFinanceTG
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,831subscribers
+6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002566238320 |
|---|---|
| Type | Channel |
| Username | @FalconFinanceTG |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/FalconFinanceTG |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 13:36 | 2,831 | +9 |
| 8 Aug 2026, 15:27 | 2,822 | -3 |
| 7 Aug 2026, 17:18 | 2,825 | first reading |
20 posts held, back to 19 June 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 1 pageof 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 7 August 2026 |
|---|---|
| Posts held | 20 (19 June 2026 – 7 August 2026) |
| Views total | 17,220 |
| Reactions total | 83 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:18 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.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
111 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 49.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 49.5% | |
| 🔥 | 45 | 40.5% | |
| 👏 | 4 | 3.60% | |
| 😁 | 3 | 2.70% | |
| 😇 | 2 | 1.80% | |
| 👀 | 1 | 0.901% | |
| 👾 | 1 | 0.901% |
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 111reactions 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 19 June 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.
Interesting fact: of ~$390B in stablecoin payments a year, only ~1% ($4.5B) is cards. The rest is mostly B2B, remittances, treasury. Everyday spend is still the outer ring. We're early. Get it here 👉 https://app.falcon.finance/card
❤1
Something we keep coming back to with yield-bearing stablecoins and synthetic dollars: It’s a two-engine market now, roughly half of what’s tracked is Treasury/RWA-backed, and the other half is DeFi-native. Falcon works across both. You can mint USDf on eligible crypto and tokenized RWA, and stake into sUSDf for protocol yield generated from market strategies on top of a multi-asset reserve base. Explore more abo…
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There’s about $37B in tokenized RWAs now, which is very impressive. Most of that value still looks more like inventory than liquidity though. We’ve said this a lot: putting an asset onchain was never the hard part, making it useful is. Eligible RWAs on Falcon can mint USDf, so the underlying asset can be productive. Explore more about USDf at 👉 https://falcon.finance
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What USDf was missing was irl spending. You could already mint against crypto and tokenized assets, then stake into sUSDf if you wanted yield. What you couldn’t do was use that dollar at a checkout. Falcon Card is that piece. Live since July 20: load USDf, pay online or in-store, in 90+ countries, with no annual fee. Miles Season 2 now counts card-related activities too. Note for people in sUSDf: staked USDf stays…
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We took Falcon Card out for a little day trip! Matcha cafe, vending machine, convenience store... just tap your phone. If you’ve been using Falcon Card too, we’d love to see it! :)
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Falcon card 💳 onchain liquidity, irl spending :)
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Stablecoin flow used to be Ethereum + Tron, but not anymore. Now Eth + Tron + Base + Solana clear ~93% of global flow. Current 30d transfer volume: • Ethereum: $417B • Tron: $341B • Base: $325B • Solana: $280B The structural shift is obvious: H1 2024 → Eth + Tron ran 82% of transfers H1 2026 → 55%. Base + Solana went from 4% to 37% Base is up ~8× YoY on the same 30d window and in early July it briefly led every …
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Here’s the full list of countries currently supported by Falcon Card. 👉 https://x.com/falconfinance/status/2079476521283260549 We’re working to make Falcon Card available in more countries. Where would you like to see support added next? 🙂
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Falcon Card is live. Collateral → USDf → real-world payment. Mint USDf with eligible collateral or get it through supported markets, then load it onto your Falcon Card for everyday spending. The stack is complete. Get it here 👉 https://app.falcon.finance/card For more details on how it works, check out our blog here: https://falcon.finance/news/from-tokenized-assets-to-everyday-spending-introducing-falcon-card
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Here’s an important shift few have noticed: Yield-bearing stablecoins are no longer dominated by a single model. Tracked TVL is now split almost evenly between Treasury/RWA-backed products at 47% and DeFi-native yield products at 46%. The market has quietly become a two-engine system. A similar convergence is emerging on the collateral side too. Falcon enables eligible crypto assets and tokenized RWAs to mint the …
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23x in 3 years. Onchain RWAs went from $1.5B in July 2023 to a $34.3B all-time high this week 🔥 What's driving the growth in the last 30 days: · Treasuries +3%, roughly $450M added, still 45% of the market · Stocks +17.6% · Private equity +16.9% · Active strategies +11.7% The future of finance is onchain.
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Q3 2026 will be exciting 🫡
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Showing the 12 most recent of 20 posts we hold for @FalconFinanceTG. 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.
Citation-graph rank — 6,646 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Falcon Finance Official” (@FalconFinanceTG), 2,831 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/FalconFinanceTG.
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.