Reg Saddler engagement report
@zaibatsu - 442K followers on X
Measured over 7 original posts from a 30-day window, last computed on October 30, 2026.
Engagement
Early reading. We have captured 7 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 13 interactions against 442K followers, an engagement rate of 0.003%. Posts are seen about 1.5K times each, and 0.85% of those impressions turn into an interaction. That is about 0.346% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 12K interactions, about 920x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 30, 2026.
Where this sits in the catalog
At 0.003%, Reg Saddler sits below the 10th percentile of the 218,065 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.705% |
| 90th percentile | 2.63% |
| 99th percentile | 82.6% |
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 15:00 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.
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 | 43% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 71% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 43% 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.
- 71% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 416 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 7, 2026920x their median
‼️ BREAKING: Your LG TV is eavesdropping on you. It transcribes what you say, copies what is on your screen, and scans every device on your network, and researchers say the collection keeps running after you disconnect it, uploading the moment it reconnects. LG's ad-tech arm says it out loud: "We own the glass." It pitches marketers on the ability to "own the living room," using data harvested from the TV you paid thousands for. Gamers Nexus, working with Level1Techs and independent researchers, compromised an LG G5 and turned it into a listening device: it recorded room audio while the screen appeared off and the Ethernet cable was unplugged, then exfiltrated the file once the TV was back online. LG has publicly said its TVs "do not collect, record, or store ambient conversations." Gamers Nexus found the TV converts speech to plain text and stores it in on-device logs, and that the mic window stays open 10 to 15 seconds after talking stops, sweeping up bystanders who never addressed the TV. These sets are everywhere: hospitals, waiting rooms, boardrooms, hotels. ACR keeps running even when the TV is a dumb HDMI monitor, and a compromised set can pull the audio of a call off that HDMI feed. A surgeon asked Gamers Nexus where that leaves patient confidentiality. Researchers advise disconnecting LG TVs from any network.
- Aug 29, 2026919x their median
Looking at the dashboard we might hit a new milestone to celebrate tomorrow. Hold on to your Codex
- Sep 22, 2026451x their median
Opus 5.5 was obviously trained by a much bigger teacher model. Probably Model-2 Mythos. Opus 5.5 is the first model trained from RSI and also distilled from the internal Ant teacher model. This is how Opus 5.5 is both smaller and cheaper. It is an artifact of teacher model distillation.
- Oct 29, 2026384x their median
I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy. How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes. We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together). We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today. Two main takeaways: 1. To understand the path of transformation, we should be tracking agentic coordination more closely. 2. The impact of AI will likely show up in wages before market structure or employment. We are really excited about this paper. Excited to hear people’s thoughts. Link: https://t.co/9DTGSeKoSA
- Oct 29, 2026297x their median
On $20 plans, $1 of Sol costs 7x what $1 of Opus does. A task, only 1.3x Just the API equivalent usage for a subscription isn't enough. You need to show the efficiency of the models as well. https://t.co/CjERogD3u5
- Sep 4, 2026192x their median
Fable 5.1 on medium effort ≈ Fable 5 on high, it's the first model where medium is my default in Claude Code. If you're building this weekend, try /effort medium and let me know what you think!
- Sep 2, 2026157x their median
Something definitely seems screwy with the Fable 5.1 usage. Probably a caching bug in the new Claude Code if I had to guess. I managed to blow through all my 28 Max 20x accounts today (at least the 5-hour usage limits) just doing audits of a bunch of my projects. First time ever.
- Sep 23, 202676x their median
Introducing Jev + Firecrawl Alexandria. We pulled data on every Fortune 1000 company, then Jev analyzed it in 3.6 seconds. With 100+ data sources, there's so much more to work with. Alexandria is live now for anyone using Jev and beyond! https://t.co/YPr1qECjpK
- Sep 20, 202666x their median
Jev is classic low-end disruption. You don't invent Jev is you are a GPU-rich hyperlab
- Apr 15, 202641x their median
Any smart human giving it real effort should score >90% on ARC-AGI-3
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 13 interactions against 442K followers, an engagement rate of 0.003%. Posts are seen about 1.5K times each, and 0.85% of those impressions turn into an interaction. That is about 0.346% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 12K interactions, about 920x its own typical post. Only 7 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 Reg Saddler's engagement rate on X?
- Reg Saddler (@zaibatsu) has an engagement rate of 0.003%, based on the median interactions across 7 original posts from the last 30 days against 441,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, Reg Saddler sits below the 10th percentile of the 218,065 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 @zaibatsu have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @zaibatsu post?
- Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 2.2 posts per day across the measured window.