As broader crypto trading slows, RWA perpetuals are moving in the opposite direction. RWA perpetual futures volume rose 10.4% to a record $211 billion in May, while combined exchange activity declined 3.45%. Binance led the market with a 55.7% share, followed by Hyperliquid at 28.9%. Explore what is driving this growth and what it means for the future of tokenized markets 👇 https://blog.pipo.vc/rwa-stock-perpetuals…

Channel
PIPO
@pipo_vc
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,107subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003804290238 |
|---|---|
| Type | Channel |
| Username | @pipo_vc |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/pipo_vc |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 17:48 | 2,107 | +1 |
| 11 Aug 2026, 07:48 | 2,106 | -2 |
| 8 Aug 2026, 03:17 | 2,108 | no change |
| 7 Aug 2026, 20:33 | 2,108 | first reading |
Engagement
17 posts held, back to 30 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.6%
- avg views ÷ 2,107 subscribers
- Avg views / post
- 561
- 17 posts measured
- Reaction rate
- 0.962%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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. It is computed over the 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 17 (30 July 2026 – 7 August 2026) |
| Views total | 9,537 |
| Reactions total | 86 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:33 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
- Video runtime
- 8s
- Average length
- 8s
Measured directly from 1 video 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.
Reaction mix
86 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 36.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 31 | 36.0% | |
| ❤ | 29 | 33.7% | |
| 👍 | 21 | 24.4% | |
| 👏 | 3 | 3.49% | |
| 🎉 | 1 | 1.16% | |
| 🕊 | 1 | 1.16% |
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 17 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 86reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 30 July 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.
Recent posts
RWA stock perpetuals are dominating trading volume, while only BTC, ETH, and SOL continue to maintain similarly high activity.
❤1👍1
This market share reflects the circulating value of tokenized exposure onchain, not the total market capitalization of the underlying companies. As more equities move onchain, liquidity and adoption could become increasingly distributed across different assets, issuers, platforms, and blockchains. Which tokenized stock are you holding?
❤4👍1
Tokenized stocks continue to gain momentum as onchain equity markets expand. According to Token Terminal, the five leading assets by market cap are: • $SECZ: approximately $170M • $STRCx: approximately $145M • $SPCXb: approximately $95M • $CRCLon: approximately $90M • $SNDKb: approximately $70M Together, these assets highlight growing demand for blockchain-based exposure to traditional equities and financial produ…
❤1👍1🔥1
What happens if a pre-IPO company never goes public? An IPO is only one possible outcome. A company may be acquired, remain private for years, or fail—and each path can have very different implications for investors. In our latest article, we explore why verifiable asset backing, clear redemption terms, and access to secondary-market liquidity are essential when evaluating pre-IPO exposure. Read the full article 👇…
👍3👏1🔥1
🎬 PIPO Creator Contest Reminder! It’s time to prepare your concept, sharpen your editing skills, and create your best video about PIPO and private markets. Don’t wait until the last minute—make your video creative, informative, and impossible to ignore for a chance to win: ⌚ 1st Place: Seiko Save the Ocean watch 🥈 2nd Place: $150 USDT 🥉 3rd Place: $100 USDT 🎞️ 8 Finalists: $35 USDT each 📅 Submission deadline: Aug…
🔥18🎉1👏1🕊1
The combined market cap of leading tokenized commodity assets, including $XAUT, $JMWH, $PAXG, $KAU, $PGOLD, $XAUM, $XAUTO, $GGBR, $SLVon, and $GLDY has grown from below $1B in 2022 to approximately $7B by mid-2026. Gold-backed products continue to dominate the category, led by $XAUT and $PAXG, while newer commodity tokens are gradually expanding the market. The growth reflects increasing demand for blockchain-based…
❤3👏1🔥1
BlackRock is expanding its presence in tokenized finance with two new funds designed for institutions and stablecoin issuers. BRSRV offers multichain access to yield-bearing reserves, while the Ethereum-based BSTBL will bring $6.1 billion in existing institutional assets on-chain. Both funds primarily invest in cash, short-term US Treasuries, and overnight repurchase agreements. Together with BUIDL, the launches ex…
👍2❤1🔥1
The combined market cap of tokenized exposure linked to leading stocks and ETFs has reached approximately $1.7B. Based on the latest chart: ▪️ $ETF — approximately $580M ▪️ $CRCL — approximately $220M ▪️ $SECZ — approximately $180M ▪️ $STRC — approximately $150M ▪️ $SPCX — approximately $150M ▪️ $MU — approximately $130M ▪️ $TSLA — approximately $100M ▪️ $NVDA — approximately $70M ▪️ $MSTR — approximately $60M ▪️ $…
❤5🔥1
The total onchain market cap of tokenized equities has grown rapidly, rising from almost zero in early 2025 to more than $2B by mid-2026. BNB Chain and Ethereum currently account for the largest share, while Solana, Avalanche, Arbitrum, Robinhood Chain, Stellar, Base, Polygon, and Ink are also contributing to the market’s expansion. This growth shows that tokenized stocks are no longer limited to a single blockchai…
👍2🔥1
RWA needs more than tokenization. In our latest AMA with EasyMM, we discussed why liquidity, market depth, transparency, and stronger market infrastructure are essential for building trust in on-chain real-world assets. Missed it? Read the AMA recap or watch the full recording below Read the recap 👇 https://blog.pipo.vc/ama-recap-the-liquidity-layer-of-rwa-building-trust-depth-and-adoption-in-on-chain-markets-ca1…
❤3🔥1
Going public does not always mean immediate liquidity for pre-IPO investors. Our latest article explores what happens to pre-IPO shares after an IPO, from share conversions and stock splits to lock-up periods, SPV distributions, and tokenized investment structures. Read the full article 👇 https://blog.pipo.vc/what-happens-to-pre-ipo-shares-when-a-company-goes-public-072afda38984
❤6🔥2
Showing the 12 most recent of 17 posts we hold for @pipo_vc. 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
Citation-graph rank — 1,191,924 of 1,480,688entries 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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Cite this entry
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“PIPO” (@pipo_vc), 2,107 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/pipo_vc.
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.