The Information engagement report
@theinformation - 1.6M followers on X
Measured over 572 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 13 interactions against 1.6M followers, an engagement rate of 0.001%. Measured over 572 original posts, its engagement rate beats 10% of 20,444 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 7.0K times each, and 0.186% of those impressions turn into an interaction. That is about 0.434% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 20.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 572 posts sampled, 19% carry an image or video and 90% link out. The account's strongest tracked post pulled 1.3K interactions, about 104x its own typical post.
Measured over 572 original posts from a 30-day window, last computed on October 25, 2026.
Compared with accounts its own size
The Information's engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,444 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 13% 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 0.001%, The Information sits below the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 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 16:00 UTC, and Friday 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 | 19% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 90% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 19% 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.
- 90% 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 269 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Oct 18, 2026104x their median
OpenAI, Anthropic and other leading AI labs face a growing challenge: Better models aren't necessarily attracting more usage. A 10-point intelligence advantage now earns just 20% more developer traffic, down from nearly 69% in late 2025. Full story: https://t.co/V3pI2VYOLb
- Sep 12, 202685x their median
Anthropic has lined up compute deals that could cost as much as $517 billion, far above the $180 billion it told investors it expected to spend through 2029. The commitments underscore how aggressively it is preparing for growth ahead of a possible IPO. More insights: https://t.co/Fd0O5v2dsJ
- Aug 20, 202657x their median
open source AI is...happening? :) Anthropic & OpenAI better hope AT&T is the exception, not the rule https://t.co/Bc2KwCTMh1
- Oct 19, 202643x their median
Anthropic is preparing a new AI model that can better infer what users are trying to accomplish, even when their instructions are vague. The unreleased model also shows stronger reasoning and more creative problem-solving abilities, according to a person who has used it. Full story: https://t.co/38akbNnYg2
- Oct 2, 202643x their median
Exclusive: SpaceXAI plans to bring roughly 420,000 Nvidia GPUs online in November as it races to meet billions of dollars in new compute commitments. Full story: https://t.co/RLlnuj2q8X
- Oct 18, 202638x their median
OpenAI's retreat from expensive side projects may be reversing as the company explores a deal to revive Sora while expanding its efforts in robotics, creator tools and personal devices. Read more details: https://t.co/PBUc3a7TQP
- Sep 21, 202628x their median
Exclusive: OpenAI and Anthropic neared a legally binding agreement to stress-test each other’s AI models for vulnerabilities and hidden dangers. The talks came before a series of AI-related security incidents intensified concerns inside OpenAI. Full story: https://t.co/b8fClqqVF1
- Oct 3, 202628x their median
Vercel is generating $600 million in annualized revenue, up 148% from a year earlier, as coding agents become a major source of new business. Agents now account for about half of new business, up from less than 3% at the start of the year. Read more details: https://t.co/Orp3l5Z68H
- Sep 19, 202621x their median
OpenAI is close to solving the Hodge Conjecture, another of the seven Millennium Prize Problems, according to a person with knowledge of the work. Read more: https://t.co/Km9sK0sMEy
- Oct 22, 202620x their median
Exclusive: DeepSeek is helping Huawei design its next generation of AI chips, with Huawei engineers working inside DeepSeek’s offices. The collaboration could help China train advanced AI models without relying on Nvidia. Read more: https://t.co/zbG09YJRNR
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 1.6M followers, an engagement rate of 0.001%. Measured over 572 original posts, its engagement rate beats 10% of 20,444 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 7.0K times each, and 0.186% of those impressions turn into an interaction. That is about 0.434% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 20.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 572 posts sampled, 19% carry an image or video and 90% link out. The account's strongest tracked post pulled 1.3K interactions, about 104x its own typical post.
- What is The Information's engagement rate on X?
- The Information (@theinformation) has an engagement rate of 0.001%, based on the median interactions across 572 original posts from the last 30 days against 1,607,279 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, The Information sits below the 10th percentile of the 204,880 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 @theinformation have real engagement?
- Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,444 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 @theinformation post?
- Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 20.57 posts per day across the measured window.