Reg Saddler engagement report
@zaibatsu - 442K followers on X
Measured over 28 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 16 interactions against 442K followers, an engagement rate of 0.004%. Measured over 28 original posts, its engagement rate beats 22% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.792% of those impressions turn into an interaction. That is about 0.458% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 28 posts sampled, 25% carry an image or video and 57% link out. The account's strongest tracked post pulled 12K interactions, about 755x its own typical post. Recurring topics include #startrek, #theplanetarysociety.
Measured over 28 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #startrek, #theplanetarysociety.
Compared with accounts its own size
Reg Saddler's engagement rate beats 22% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 41% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.004%, Reg Saddler sits below the 10th percentile of the 212,656 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 | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 21:00 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 | 25% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 57% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 25% 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.
- 57% 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 325 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, 2026755x 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, 2026751x their median
Looking at the dashboard we might hit a new milestone to celebrate tomorrow. Hold on to your Codex
- Sep 22, 2026352x 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.
- Sep 4, 2026155x 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, 2026127x 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 20, 202653x their median
Jev is classic low-end disruption. You don't invent Jev is you are a GPU-rich hyperlab
- Sep 23, 202649x 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
- Apr 15, 202641x their median
Any smart human giving it real effort should score >90% on ARC-AGI-3
- Sep 23, 202618x their median
We’ve run the most comprehensive series of studies on expert AI forecasts over the last four years. Today, we’re sharing an interim update on our findings about the accuracy of these forecasts. Our major findings are: 1. Experts, including top economists, computer scientists, and biologists, have dramatically underestimated AI capabilities progress each year. Superforecasters have underestimated progress to an even greater extent. 2. Experts have a more mixed forecasting track record on AI diffusion-related measures, with some major underestimates (forecasting AI revenue) and other forecasts on track to be accurate (the share of electricity used for AI). 3. Some notable cases of overestimating AI progress: how much mid-2025 AI models could help amateurs do biorisk-relevant laboratory tasks; the speed of rollout of self-driving cars. 4. It is too soon to say how forecasters have performed at predicting macro-scale impact on outcomes such as GDP growth, major AI harms, and averted deaths from disease. More 🧵
- Sep 23, 20269.7x their median
Sam Altman says humans could lose control of the future to AI at UN Security Council. and that OpenAI has deliberately slowed AI development before and will do it again "we could lose control of the future to AI. The risk is that it moves so fast that people can no longer follow what's happening or intervene when needed. We have unilaterally slowed down in the past. We will do so in the future." ---- From "DRM News" YouTube channel, (full video link in comment)
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 16 interactions against 442K followers, an engagement rate of 0.004%. Measured over 28 original posts, its engagement rate beats 22% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.792% of those impressions turn into an interaction. That is about 0.458% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 28 posts sampled, 25% carry an image or video and 57% link out. The account's strongest tracked post pulled 12K interactions, about 755x its own typical post. Recurring topics include #startrek, #theplanetarysociety.
- What is Reg Saddler's engagement rate on X?
- Reg Saddler (@zaibatsu) has an engagement rate of 0.004%, based on the median interactions across 28 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 0.004%, Reg Saddler sits below the 10th percentile of the 212,656 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?
- Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @zaibatsu post?
- Most posts go out around 21:00 UTC, and Wednesday is its busiest day, at roughly 6.17 posts per day across the measured window.