NEWS MAKER engagement report
@NEWS_MAKER - 962K followers on X
Measured over 1 original post from a 30-day window, last computed on August 20, 2026.
Engagement
Early reading. We have captured 1 original post 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 1.6K interactions against 962K followers, an engagement rate of 0.166%. Posts are seen about 294K times each, and 0.543% of those impressions turn into an interaction. That is about 30.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 111K interactions, about 70x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on August 20, 2026.
Where this sits in the catalog
At 0.166%, NEWS MAKER sits above the 50th percentile of the 36,852 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.435%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 159.8% |
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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- Nov 22, 202570x their median
My message to Georgia’s 14th district and America. Thank you. https://t.co/tSoHCeAjn1
- Oct 16, 202565x their median
I am returning AIPAC donations and refusing to accept any donations or support from them. The FEC filing I made yesterday reflects that we are returning donations. https://t.co/shBgHmYB1s
- Nov 16, 202549x their median
NEW: 🇮🇱 Unremovable Israeli Spyware Found on Samsung Devices - Business Wire Samsung faces backlash over AppCloud, an Israeli-developed app pre-installed on budget Galaxy A and M series devices. Investigations reveal the app is embedded in the operating system, preventing full removal. Even when disabled, AppCloud remains on the device, reappears after updates, and can covertly install additional software.
- Nov 5, 202543x their median
Decision Desk HQ projects Zohran Mamdani to win the New York City Mayor election. #DecisionMade: 9:03 pm ET Follow live results on our website. https://t.co/JLV4vXwznG
- Oct 16, 202526x their median
Conspiracy Theorists have an amazing track record. https://t.co/jEN5Fb5VQj
- Nov 24, 202519x their median
BREAKING: General Mike Flynn calls for President Trump to appoint Sidney Powell as Attorney General immediately, replacing Pam Bondi. https://t.co/tL2LmfzyXA
- Nov 6, 202513x their median
I would like to clarify a few things. First, the obvious one: we do not have or want government guarantees for OpenAI datacenters. We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or otherwise lose in the market. If one company fails, other companies will do good work. What we do think might make sense is governments building (and owning) their own AI infrastructure, but then the upside of that should flow to the government as well. We can imagine a world where governments decide to offtake a lot of computing power and get to decide how to use it, and it may make sense to provide lower cost of capital to do so. Building a strategic national reserve of computing power makes a lot of sense. But this should be for the government’s benefit, not the benefit of private companies. The one area where we have discussed loan guarantees is as part of supporting the buildout of semiconductor fabs in the US, where we and other companies have responded to the government’s call and where we would be happy to help (though we did not formally apply). The basic idea there has been ensuring that the sourcing of the chip supply chain is as American as possible in order to bring jobs and industrialization back to the US, and to enhance the strategic position of the US with an independent supply chain, for the benefit of all American companies. This is of course different from governments guaranteeing private-benefit datacenter buildouts. There are at least 3 “questions behind the question” here that are understandably causing concern. First, “How is OpenAI going to pay for all this infrastructure it is signing up for?” We expect to end this year above $20 billion in annualized revenue run rate and grow to hundreds of billion by 2030. We are looking at commitments of about $1.4 trillion over the next 8 years. Obviously this requires continued revenue growth, and each doubling is a lot of work! But we are feeling good about our prospects there; we are quite excited about our upcoming enterprise offering for example, and there are categories like new consumer devices and robotics that we also expect to be very significant. But there are also new categories we have a hard time putting specifics on like AI that can do scientific discovery, which we will touch on later. We are also looking at ways to more directly sell compute capacity to other companies (and people); we are pretty sure the world is going to need a lot of “AI cloud”, and we are excited to offer this. We may also raise more equity or debt capital in the future. But everything we currently see suggests that the world is going to need a great deal more computing power than what we are already planning for. Second, “Is OpenAI trying to become too big to fail, and should the government pick winners and losers?” Our answer on this is an unequivocal no. If we screw up and can’t fix it, we should fail, and other companies will continue on doing good work and servicing customers. That’s how capitalism works and the ecosystem and economy would be fine. We plan to be a wildly successful company, but if we get it wrong, that’s on us. Our CFO talked about government financing yesterday, and then later clarified her point underscoring that she could have phrased things more clearly. As mentioned above, we think that the US government should have a national strategy for its own AI infrastructure. Tyler Cowen asked me a few weeks ago about the federal government becoming the insurer of last resort for AI, in the sense of risks (like nuclear power) not about overbuild. I said “I do think the government ends up as the insurer of last resort, but I think I mean that in a different way than you mean that, and I don’t expect them to actually be writing the policies in the way that maybe they do for nuclear”. Again, this was in a totally different context than datacenter buildout, and not about bailing out a company. What we were talking about is something going catastrophically wrong—say, a rogue actor using an AI to coordinate a large-scale cyberattack that disrupts critical infrastructure—and how intentional misuse of AI could cause harm at a scale that only the government could deal with. I do not think the government should be writing insurance policies for AI companies. Third, “Why do you need to spend so much now, instead of growing more slowly?”. We are trying to build the infrastructure for a future economy powered by AI, and given everything we see on the horizon in our research program, this is the time to invest to be really scaling up our technology. Massive infrastructure projects take quite awhile to build, so we have to start now. Based on the trends we are seeing of how people are using AI and how much of it they would like to use, we believe the risk to OpenAI of not having enough computing power is more significant and more likely than the risk of having too much. Even today, we and others have to rate limit our products and not offer new features and models because we face such a severe compute constraint. In a world where AI can make important scientific breakthroughs but at the cost of tremendous amounts of computing power, we want to be ready to meet that moment. And we no longer think it’s in the distant future. Our mission requires us to do what we can to not wait many more years to apply AI to hard problems, like contributing to curing deadly diseases, and to bring the benefits of AGI to people as soon as possible. Also, we want a world of abundant and cheap AI. We expect massive demand for this technology, and for it to improve people’s lives in many ways. It is a great privilege to get to be in the arena, and to have the conviction to take a run at building infrastructure at such scale for something so important. This is the bet we are making, and given our vantage point, we feel good about it. But we of course could be wrong, and the market—not the government—will deal with it if we are.
- Nov 4, 202513x their median
How the hell did he get cell service down there?🔥😂😂😂 https://t.co/pEn8nSo8S0
- Nov 4, 202513x their median
Newly Filed FBI Records @Comey Reveal Contents “Five Burn Bags” Classified + Potentially Incriminating Records Date Back To 2016 Discovered April 2025 @FBIDirectorKash •Five ‘Burn Bags” •Records from “Mar-a-Lago search, January 06 capitol breach, the Crossfire Hurricane Investigation (Trump/Russia Collusion)” •Copy “Classified Appendix to the John Durham Special Counsel” probe •Original CIA referral to former FBI Director James Comey, known as a Counterintelligence Operational Lead (CIOL) •Original CIA referral dated SEPT 7, 2016 to Comey and believed missing for several years •CIA referral “contained certain intelligence related to the 2016 U.S. presidential election” •CIA referral found in “storage closet adjacent to the Director’s Office” •Comey testified “he was unfamiliar with (the CIA referral) as well as its related intelligence” FBI Preliminary investigation opened into potential violations 18 USC 2071 •Concealment, Removal or Mutilation Government Records/Evidence 👇 https://t.co/PDPXTSIxZF “...appears to be a hasty and chaotic effort by certain employees to collect senior management officials’ records in advance of the anticipated transition of a new team of FBI executives taking control after the presidential inauguration”
- Sep 27, 202512x their median
And after the government combines your personal, banking, and voting data under a single digital ID, it will add social media and vaccine information. Same with Real ID in the US. The Censorship Industrial Complex was dress rehearsal for digital ID.
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 1.6K interactions against 962K followers, an engagement rate of 0.166%. Posts are seen about 294K times each, and 0.543% of those impressions turn into an interaction. That is about 30.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 111K interactions, about 70x its own typical post. Only 1 original post 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 NEWS MAKER's engagement rate on X?
- NEWS MAKER (@NEWS_MAKER) has an engagement rate of 0.166%, based on the median interactions across 1 original posts from the last 30 days against 962,082 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.166%, NEWS MAKER sits above the 50th percentile of the 36,852 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 @NEWS_MAKER have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @NEWS_MAKER post?
- Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 0.07 posts per day across the measured window.