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Sumcap Research

@sumcap_research

On this record: Growth · Engagement · Reactions · Posts · Cite this entry

954subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002453199326
TypeChannel
Username@sumcap_research
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/sumcap_research

Growth

951954952.57 August 2026 — 954 subscribers8 August 2026 — 954 subscribers16 August 2026 — 951 subscribers30 August 2026 — 954 subscribers7 August 202630 August 2026
4 measurements spanning 22 days. 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 951–954 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 03:47954+3
16 Aug 2026, 15:46951-3
8 Aug 2026, 00:48954no change
7 Aug 2026, 15:54954first reading

Engagement

20 posts held, back to 13 October 2025the 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
6.08%
avg views ÷ 954 subscribers
Avg views / post
58.0
1 post measured
Reaction rate
17.2%
reactions ÷ views · ER floor
Posts in window
1
of 20 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
WindowRolling 30 days · latest post in window 3 August 2026
Posts held20 (13 October 20253 August 2026)
Views total58
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:48 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.

Reaction mix

175 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 72.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12772.6%
👍3821.7%
105.71%

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 175reactions 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 13 October 2025 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.

Recent posts

3 Aug 2026, 12:08 UTC58 views10 reactionsread 8 August 2026
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Papertrade: The House Always Wins Papertrade lets users trade at up to 1,000x against a LP that starts at $0. Trader losses fill the LP. Trader wins are paid from it. If the LP cannot pay, profits enter a FIFO queue. The entire system depends on one question: can a liquidity pool funded only by trader losses stay solvent? We rebuilt Papertrade's settlement engine using 3.6M maximum-leverage Hyperliquid trades and

👍7🔥3

10 Jun 2026, 10:03 UTC164 views12 reactionsread 8 August 2026
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New Research Article: The RWA Unwind Problem In DeFi, you can open a leveraged position in a single block but getting out of a tokenised RWA can take days. The unwind problem: atomic to build, expensive to dismantle, because the token lives on-chain while the asset behind it settles off-chain. Our research maps who absorbs that gap and what breaks when everyone exits at once. Inside the piece: • 🏗️ The redemption

🔥8👍4

28 May 2026, 13:31 UTC180 views8 reactionsread 8 August 2026
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New Research Article: Tranching in DeFi DeFi doesn’t have a yield problem. It has a risk problem. Tranching fixes that by separating who gets paid first from who gets paid most. Our latest research maps the full state of the space. Inside the piece: • 🏗️ Two models: Tranching as a Product or as a Service (TaaP vs TaaS) • 🌊 How loss waterfalls, reserve funds, and redemption gates determine who’s actually protected

👍8

28 Apr 2026, 14:09 UTC235 views8 reactionsread 8 August 2026
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Plasma One officially launches in June 2026. The beta is live across both products: Earn (P1USD, accruing yield) and Checkings (smart-contract spending accounts). We built the first public dashboard tracking the product end-to-end, sourced directly from Plasma Chain. Coverage: 📊 Combined TVL across Earn and Checkings 👥 Holders, balances & whale cohorts 💳 Checkings activity, refunds & $XPL cashback 🔄 Cross-product w

🔥8

23 Feb 2026, 17:05 UTC260 views9 reactionsread 8 August 2026
Photo

Plasma hits $250B in cumulative $USDT0 volume 🕊️ Just 151 days post-mainnet, Plasma has evolved from infrastructure into a high-velocity liquidity layer. The Network Pulse: • $250B+ Total transfer volume • $580M Avg. daily volume (last 30 days) • 74% Stablecoin liquidity consolidated into $USDT0 • 60+ Protocols using $USDT0 as their primary base Through every market reset, throughput remains sustained. This is the

🔥9

9 Feb 2026, 14:22 UTC248 views13 reactionsread 8 August 2026
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Aave V4: From Static Pools to Modular Infrastructure Aave is moving beyond the "pool-per-market" model. V4 introduces a unified, automated architecture designed for better risk isolation and capital efficiency. Key Upgrades: 🌐 Liquidity Hubs: A unified layer that connects to "Spokes," allowing for global liquidity without sacrificing risk isolation. 🤖 Adaptive Rates: "Fuzzy logic" replaces manual governance, allow

👍5🔥53

3 Feb 2026, 15:02 UTC199 views10 reactionsread 8 August 2026
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The Senate debate over the CLARITY Act highlights a fundamental shift in how capital moves. Legacy banking faces a "yield-aware" depositor base as data explains the current movement of liquidity. 🏛️ Regulatory Context: Section 404 of the Act seeks to restrict yield pass-through, maintaining legacy interest margins that accounted for record bank profits in 2025. 📉 Yield Disparity: A persistent spread between 0.01% b

👍6🔥4

26 Jan 2026, 16:04 UTC215 views12 reactionsread 8 August 2026
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We’ve submitted a joint proposal with K3 Capital for the GnosisDAO Treasury Management RFP. Our framework combines institutional-grade execution with independent risk oversight, aligned with the DAO’s success through a skin-in-the-game model. ⚖️ Split roles: K3 Capital (execution) + Sumcap (risk & oversight) 📊 Active onchain treasury management with risk caps + diligence 🚨 24/7 monitoring and incident readiness 🌉 S

🔥12

9 Jan 2026, 16:00 UTC215 views12 reactionsread 8 August 2026
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Sumcap Summary #11: December 2025 December ended 2025 on a roller-coaster: - 💥 Worst quarter of 2025 with $SOL down 🔴-40.4% - 🌊 ~$1B liquidated on the 1st day of December - 👻 @aave DAO clashes with Aave Labs over +$10M/annum in fees Let’s take a look at what happened this December 👇 https://x.com/Sumcap/status/2009656459038974300 P.S. We wish you a happy new year and a 2026 filled with many Xs! 🎊

🔥7👍5

10 Dec 2025, 16:00 UTC244 views8 reactionsread 8 August 2026
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Sumcap Summary #10: November 2025 Much like October, November was a total bloodbath: - 📉 All majors and sectors in red ($ETH🔴 -22.38%) - 🌊 HyperLiquid loses🔴-$434M in net flows - 🟪 Ethereum pushes #Fusaka Let's take a look at everything that happened this month 👇 https://x.com/Sumcap/status/1998784807644573951

🔥8

3 Dec 2025, 12:03 UTC269 views5 reactionsread 8 August 2026
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🪂 $STABLE Airdrop Date Mainnet and TGE on the 12/08 at 13h UTC - @stable just released their tokenomics! This means that the settlement date for the $STABLE airdrop has moved from the speculated 31st Dec to 8th Dec. Point distribution updates: - 🟢 Phase 1: 53.8% → 60.9% - 🔴 Phase 2: 46.2% → 39.2% This greatly aids Phase 1 depositors who are now capturing an additional 7.1%pts! You can check your $STABLE airdrop

4👍1

2 Dec 2025, 16:07 UTC355 views8 reactionsread 8 August 2026
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After 3 years and 3 hardforks, #Fusaka concludes the #Surge phase of the Scaling Roadmap with: - 📊 PeerDAS: 8x throughput, cheaper fees, more rollup space - 📈 60M gas limit: 100% increase YTD - 🟪 and 10 EIPs improving CL and fee markets Let's dive into what Fusaka entails 👇 https://x.com/Sumcap/status/1995885702702411779?s=20

🔥8

Showing the 12 most recent of 20 posts we hold for @sumcap_research. 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.

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“Sumcap Research” (@sumcap_research), 954 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/sumcap_research.

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.