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Pantera Capital engagement report

@PanteraCapital - 226K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Per follower
0.018%
of 226K followers
Per impression
0.518%
7.7K views on a typical post
Reach
3.41%
of its followers see a post
Typical post
40
interactions (median)
Saved
0.052%
4 bookmarks on a typical post
Posting rate
1.47/day
active 53% of days
Peak time
13:00 UTC
Wednesday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 40 interactions against 226K followers, an engagement rate of 0.018%. Posts are seen about 7.7K times each, and 0.518% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video, 40% are part of a thread and 20% link out. The account's strongest tracked post pulled 402 interactions, about 10x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on October 1, 2026.

Where this sits in the catalog

At 0.018%, Pantera Capital sits above the 10th percentile of the 202,368 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.6%
Engagement rate as a share of followers, across the 202,368 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,932 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.6%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 13:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video60% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 60% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 20% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 678 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 29, 202610x their median

    Pantera's latest State of Tokenization report is out. We analyzed the $332bn tokenization market across 671 assets. Institutions entered in force this quarter. J.P. Morgan, HSBC and Fidelity launched onchain products. BlackRock's BUIDL moved $441mn onchain in June, runs a $1bn daily redemption facility, and is now accepted as collateral. On the consumer side, Robinhood Chain hit $888mn in weekly RWA volume in August, two months after launch. Collateral markets matured, with private credit putting 45% of its matched value to work in DeFi. The lack of a market-structure bill didn't stop tokenized stocks. A five-year SEC exemption lets the market keep developing under current rules. Full report: https://t.co/KXsUwci9fD

    30655172445K viewsView on X
  • Jul 21, 20264.6x their median

    https://t.co/GK3zox3SvF

    11616272465K viewsView on X
  • Aug 7, 20264.3x their median

    AI will not reach its full potential without crypto. Blockchain enables identity for agents and allows them to hold wallets, use stablecoins, and execute transactions on-chain. As more assets move on-chain than off-chain, agents that can act across the entire digital asset landscape become dramatically more powerful. At the same time, AI will strengthen crypto through better security, wealth management, and trading insights. Fintech, AI, and crypto form the key triangle we’re focused on. @veradittakit @OnchainCap_ @AgentSeanLee

    916019319K viewsView on X
  • Aug 11, 20262.7x their median

    Open-source AI is catching up to proprietary frontier models, but the hardware needed to run them are gatekept. @b3labs is launching B3IQ so anyone can own their own intelligence. @darylX24 and @viktoriya0x (B3) and @yorkerhodes (Microsoft/NYU) join Stateful, hosted by @FranklinBi In this episode, they discuss why owning your compute is the next unlock for open source AI: - Frontier labs have locked up hyperscaler capacity through 2030. Everyone else is out of line. - NYU students researching human trafficking and war zone evacuations get account-banned by closed models - Two years of renting an H200 node costs the same as buying it. Rent-to-own drops the entry cost to 30%. - Kimi K3 matches frontier performance on some coding tasks. You just need two H200 nodes to run it. - Idle compute gets matched with offtake, so the machine pays for itself 05:28 Content Filters and Token Limits at NYU 11:02 The Hyperscaler Long Tail Problem 16:16 Why Frontier Labs Locked In Their Model Gains 18:19 How the B3IQ Financing Model Works 20:10 The iPhone Moment for Compute 29:27 Why Own the Box When Neo Clouds Exist? 40:24 The Five-Year Vision

    651029535K viewsView on X
  • Aug 21, 20262.0x their median

    Bitcoin spent the past six months in a tight range. After periods of consolidation, moves tend to be violent and large. Positioning is now reversing: from investors being on the sidelines and even net short to a growing desire to be long. The breakout above the 200-day moving average at 69K has brought in momentum and trend following funds. From a long-term perspective, digital assets are still about 50% below previous highs while fundamentals have strengthened: stablecoin adoption, prediction markets, perpetual futures, and agentic commerce. When fundamentals improve and prices remain discounted, the case for continued constructive positioning becomes clear. @cosmo_jiang @CNBCTheExchange @KellyCNBC

    53131219.9K viewsView on X
  • Aug 27, 20261.8x their median

    https://t.co/7CyUB0O3IV

    44158520K viewsView on X
  • Sep 24, 20261.8x their median

    Robinhood Chain is three months old. In API calls it already runs at roughly a quarter the volume of Google search. @nikil (@Alchemy) and @JohannKerbrat (@RobinhoodCrypto) join Stateful, hosted by @FranklinBi, to talk tokenized assets and agentic commerce: • 40% of all new developers on are building on Robinhood Chain • 190 tokenized US stocks and ETFs. Number one chain on Alchemy within two weeks • Democratizing U.S. equities to a global audience • Alchemy made its entire product accessible to agents. No CAPTCHAs, no humans. Grew 20% in two weeks • Memecoin and stock token pairs nobody planned for 04:27 Day Zero: Why Robinhood Built Its Own Chain 09:19 A Quarter of Google's Traffic: The Scale of Robinhood Chain 10:43 Three Mega Trends: Stablecoins, Tokenized Equities, Agentic Commerce 15:23 The WhatsApp Effect and Why Most of the World Can't Buy US Stocks 22:11 Why the Blockchain Industry Has to Be Built in the U.S. 27:20 Alchemy's Bet: The Customer Is No Longer the Developer 28:39 Agentic Cards, Mastercard, and the Dave the Minion Story 31:20 Inside Robinhood's Agentic Trading Launch 36:44 Verifiable Intent and Giving Agents Guardrails 40:36 What an Onchain Financial System Feels Like in 10 Years

    47912323K viewsView on X
  • Jul 29, 2026

    An agent can plan and sequence a multi-step task and stall at a signup form. @orthogonal_sh replaces account creation, API keys, and billing with one integration. @chrisspickett and @berasogut1 (Orthogonal) join Stateful, hosted by @masonnystrom. In this episode, they discuss the infrastructure needed for the agent economy: - One API to access dozens of verified providers - Agents discover, call, and pay per use in cents — no accounts, no keys, no subscriptions - Micropayments that actually work with automatic spend tracking and human-set policies - Supporting all major agentic payment standards (X402, MPP, etc.)

    2669525K viewsView on X
  • Sep 16, 2026

    The CLARITY Act did not advance in the Senate. Prediction markets now put 2026 passage in the single digits. But the agencies were never waiting on Congress. @kspaglia, Chief Legal Officer at Pantera, joins Stateful, hosted by @masonnystrom, to break down what happens next: - The ethics provisions killed it, not the bank and exchange yield fight - Reg CA is the real unlock: raise US capital pre-decentralization, then self-certify into commodity status - Disclosure finally built for tokenomics and governance instead of IPO-style filings - Prediction market regulation is the next fight, and it may reach the Supreme Court 01:44 Why the Ethics Provisions Killed the Bill 03:37 How the SEC and CFTC Are Filling the Gap 04:16 Reg CA: The Capital Raising Unlock for Early-Stage Projects 07:21 What This Means for Tokenization and Institutional Adoption 08:58 The Pendulum Risk of Agency-Led Rulemaking 10:18 Will a Future CLARITY Act Pass? 11:14 Prediction Markets: The Next Regulatory Battle to Watch

    239717.7K viewsView on X
  • Sep 18, 2026

    Digital Asset progress will march on even without the Clarity Act, as the SEC and CFTC keep delivering frameworks for digital assets to succeed - such as the Tokenized Equity innovation exemption launched this week. It's always a pleasure to speak with @KellyCNBC and the @CNBC team.

    102213.8K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 40 interactions against 226K followers, an engagement rate of 0.018%. Posts are seen about 7.7K times each, and 0.518% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video, 40% are part of a thread and 20% link out. The account's strongest tracked post pulled 402 interactions, about 10x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Pantera Capital's engagement rate on X?
Pantera Capital (@PanteraCapital) has an engagement rate of 0.018%, based on the median interactions across 5 original posts from the last 30 days against 226,011 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Pantera Capital sits above the 10th percentile of the 202,368 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @PanteraCapital have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @PanteraCapital post?
Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 1.47 posts per day across the measured window.

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