Raoul Pal engagement report
@RaoulGMI - 1.5M followers on X
Measured over 63 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 397 interactions against 1.5M followers, an engagement rate of 0.026%. Posts are seen about 71K times each, and 0.562% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 63 posts sampled, 83% carry an image or video, 46% are part of a thread and 17% link out. The account's strongest tracked post pulled 4.6K interactions, about 12x its own typical post.
Measured over 63 original posts from a 30-day window, last computed on October 26, 2026.
Where this sits in the catalog
At 0.026%, Raoul Pal sits above the 25th percentile of the 204,694 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 14:00 UTC, and Tuesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 83% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 83% 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.
- 17% 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 529 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
- Aug 18, 202612x their median
Claude appears to be utterly unusable today. I've wasted hours and any task takes half an hour to do. His reasoning is flawed and it's not doing things and it's missing everything it was supposed to do. @AnthropicAI @claudeai opus 5 is a clusterfuck and Fable 5 is a horror story of expense. I'm hardly a heavy user in the general scheme of things but I blow through my weekly allowance of credits by Monday. This has to get sorted out. they need more inference and fast or they're gonna lose a lot of customers.
- Aug 26, 202611x their median
CZ said it better than anyone: "The currency for AI is crypto. AI is not gonna swipe a card, enter an SMS code. That doesn't work for AI." That was our conversation at Token2049 in Dubai last year. Every month since has made it truer... more agents arriving, all needing to hold value, receive value and move it without a person in the loop. Think about what those payments actually look like. Instant and tiny, thousands of them a second, between counterparties that are not human. Two day bank settlement doesn't work for that. Card rails don't work for that. Theres only one set of rails on earth built for that. Its staggeringly clear.
- Aug 20, 20269.1x their median
The Bessent Put Today the US Treasury doubled the size of its long-end bond buybacks, the day after the 30-year yield hit a 19-year high at 5.33%. The extra dollars are small. The signal is enormous. For the first time, the fiscal authority, not the Fed, stepped in to defend the long end within 24 hours of the highs. There is now a put under the long bond, and the market has just been told the top of the range... Look at the plumbing underneath it... The buybacks pull old, illiquid bonds off dealer balance sheets and get funded at the front end with bills, which the banking system absorbs. Duration out, money-like paper in. Lower long-end volatility raises the collateral value of every Treasury in the repo system, which is itself a liquidity easing. And the QRA language quietly changed two weeks ago to allow exactly this. It isn't happening in isolation. This month's joint yen intervention was about stopping Japan from ever becoming a forced seller of Treasuries, and the new dollar swap lines across Asia and the Gulf keep the region's dollar debts rolling, with China the ultimate beneficiary. A weaker dollar is the tool that brings the big foreign buyers, Japan and eventually China, back to the long end. Supply managed on one side, demand rebuilt on the other. With a long end now potentially anchored, the steepening of the curve should come from Warsh, who will probably deliver his part of the grand bargain between the Fed and the Treasury. All of this is to fund the hyperscaler capex along with government debt. For the first time since the GFC both public and private debt as a % of GDP are growing and both are vital. This is the everything code fully at play and brings together many threads I've been talking about for the last two years. The debt must be serviced and liquidity, by whichever mechanism they can route it, is the method. Financial conditions started easing through both legs at once today, and financial conditions are the first domino in the sequence we have been mapping all year. To be warned this is not an instant liquidity flood happening right now. This is the entire scaffolding being set up for the much larger game. The Great Game is the funding of the aging population along with the funding of the new demographic of AI and robots. Both games are too big and too important to stop. The funding of the the intelligence build out is the most important game of all time. It is too big to fail. The full Flash Update is coming for GMI and RV Pro members came out earlier today: the full mechanism, the 2011 and 1940s precedents, what it likely means for every asset class, and what would prove the thesis wrong. Overall today was a big marker point on a story that I've been predicting for many years and have the receipts to prove it. The outcome is always MOAR COWBELL!
- Aug 15, 20268.8x their median
It's all so fucking obvious and people are still desperate to trade it away. Look at everything that's happening right now… Banks and asset managers are moving their products onto blockchain rails and everywhere you look people are building AI agents. Liquidity is flowing, the Clarity Act is coming and the geopolitical noise looks like it might finally settle. It's all right in front of us. And the correct move is the boring one. Buy a handful of the highest-quality L1s, the ones capturing the real economic activity, and hold. That's the whole game right there. The people trying to be clever and trade this cycle are the ones who’ll eventually blow this up. The only way to lose from here is to overthink it.
- Aug 27, 20267.9x their median
We've been cooking this for 2 years. HOW TO NAVIGATE THE SINGULARITY - trailer A washed-up news anchor befriends an AI orangutan. S.A.N (@MycelialOracle) is real: TED, beside the Man at Burning Man, Rainforest Foundation US board. All shot IRL on cinema cameras. No gen video. https://t.co/caVvyoTj8r
- Jul 8, 20265.4x their median
Text no longer retained for this post.
- Aug 14, 20267.3x their median
Everything's coming onchain. Stablecoins, RWAs… the whole financial system is rebuilding itself on crypto rails. And the way you own that is stupidly simple. Just buy the L1s it all runs on. This is the universal basic equity layer for all of us. If the biggest parts of the economy get handed to AI and agents, and they transact on crypto rails, then owning the L1s means you own a piece of their success. We never got that with the internet. Retail never got handed a slice of the plumbing. This time it's just sitting there, listed. There's no excuse not to do this.
- Sep 15, 20266.9x their median
If you’re sweating short time horizons you’re fucking everything up. Crypto hasn't been through a cycle. A cycle needs liquidity to drive it, and what we got was liquidity being dampened while a massive bull market ran in something else. The actual driver hasn't changed. Central banks and the banking system have to keep financing interest payments by issuing money to offset the ageing population. That is The Everything Code. It’s been playing out like this for decades and it doesnt care about your quarter. Own Nasdaq, own crypto, go to the beach.
- Sep 22, 20266.7x their median
I don't trade (crypto or anything) a lot. I am a macro guy with long term horizons...I just add when the market is deeply oversold. I added more ETH at 1,650, SOL at 65 and SUI at 0.75 back on June 5th. Those "stink bids" were pretty decent for RV Pro and GMI members. All 43 GMI positions are +96% on average with a 67% winners vs losers. Its all crypto and tech (The Exponential Age thesis). Over the last 21 years my winners vs losers has held steady at around 65%. My "edge" is time horizon and secular trends with The Everything Code overlay. It's not complicated but it works for me.
- Sep 27, 20266.5x their median
Central banks are likely buying way more gold than official figures suggest: World central banks acquired +44 tonnes of gold in July, +158% above the pre-2022 average of +17 tonnes, according to Goldman Sachs. This brings the 3-month average of purchases to +91 tonnes, near its highest since mid-2025. By comparison, the 12-month moving average has oscillated between +50 and +60 tonnes over the last few months. Meanwhile, official central bank purchases of gold stood at +23 tonnes in July, or 21 tonnes below actual levels. Furthermore, official monthly purchases have not exceeded +60 tonnes in any month since November 2024, also representing a wide discrepancy. Central bank gold demand may be much greater than official figures suggest.
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 397 interactions against 1.5M followers, an engagement rate of 0.026%. Posts are seen about 71K times each, and 0.562% of those impressions turn into an interaction. That is about 4.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 63 posts sampled, 83% carry an image or video, 46% are part of a thread and 17% link out. The account's strongest tracked post pulled 4.6K interactions, about 12x its own typical post.
- What is Raoul Pal's engagement rate on X?
- Raoul Pal (@RaoulGMI) has an engagement rate of 0.026%, based on the median interactions across 63 original posts from the last 30 days against 1,507,978 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.026%, Raoul Pal sits above the 25th percentile of the 204,694 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 @RaoulGMI have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @RaoulGMI post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 4.5 posts per day across the measured window.