Tim O'Reilly engagement report
@timoreilly - 4.2M followers on X
Measured over 4 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
Early reading. We have captured 4 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 272 interactions against 4.2M followers, an engagement rate of 0.006%. Measured over 4 original posts, its engagement rate beats 56% of tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 103K times each, and 0.263% of those impressions turn into an interaction. That is about 2.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video, 25% are part of a thread and 75% link out. The account's strongest tracked post pulled 16K interactions, about 76x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
Tim O'Reilly's engagement rate beats 56% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
Where this sits in the catalog
At 0.006%, Tim O'Reilly sits above the 10th percentile of the 36,521 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 19:00 UTC, and Saturday 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Mar 18, 202676x their median
Today, I journeyed to an obscure part of the Capitol basement to see the long-awaited plaque honoring the police officers who defended Congress and America against Trump’s insurrectionary mob on January 6, 2021. To his credit, Sen. Tillis joined Democrats in demanding it be put up, but this spot is not accessible to the public. Speaker Johnson, come on—put the plaque in its rightful place of honor.
- Mar 16, 202669x their median
This is 100% completely unsustainable as a society. Nearly 50% of all consumer spending now comes from the top 10% of earners. The bottom 80%? Their share keeps falling. This is why the economy can look strong in the data while millions of people feel like they're falling behind.
- Apr 17, 202636x their median
Anthropic CEO Dario Amodei: “50% of all tech jobs, entry-level lawyers, consultants, and finance professionals will be completely wiped out within 1–5 years.” https://t.co/sXcT59gWYj
- Apr 19, 202632x their median
JD Vance: “It's very, very important for the pope to be careful when he talks about matters of theology." https://t.co/Kx0yr8L7I1
- Apr 19, 202626x their median
hot take :) The biggest and most productive people in the AI era are the folks who are already good at their jobs. AI as a multiplier, not an equalizer/democratizer
- Apr 30, 202623x their median
The national debt just exceeded 100% of GDP for the first time since 1946: https://t.co/VSDBUUTaUH https://t.co/95ff7qRwJG
- Apr 19, 202627x their median
OVERRATED: running tons of agents in parallel; working on too many things at once; perpetual context-switching; opening lots of low-quality PRs that may never land. UNDERRATED: using one or two agents at a time; focusing on the task in front of you; thinking deeply; finishing stuff; making your code works in prod.
- Mar 30, 202619x their median
The loudest story about AI is a lonely one. One person with an army of chatbots. Other humans are friction. That gets the future wrong. The best things aren’t built alone. In a moment of change, we want to remind the world (and ourselves) what Notion stands for: — Think Together
- Apr 19, 202616x their median
The greatest problem in healthcare ? Hospitals, even market dominant hospitals, won’t walk away from the big ins companies that underpay, late pay, clawback, deny claims, waste their time in denial appeals, and require them to pay up to 8 pct of revenue to RCM consultants so they think they are getting what they are owed. Here is the crazy part. The ins companies ARE NOT THE ONES ACTUALLY PAYING THEM on commercial plans. Employers are. 60 pct of employees get their insurance from their self insured employers. The ins carrier is just a middleman that pretends to add value. All the clinical “value” they add, the hospital could do better, for both medical and pharmacy. Most hospitals have no idea whether they make or lose money with their big ins contracts. They are just afraid to lose patient flow. But. They actually know which companies their patients are coming from. They actually know or can find out, how much more the employers are paying the ins company, than what the ins company pays them (the spread, just like in pharmacy ) And to make it worse, those ins companies negotiate their rates as a discount from the “charge master “, which is like WAC in pharmacy. Just a made up list price. Because the hospitals are afraid or too uninformed to walk away from these deals, the hospitals use the inflated charge master prices as the basis to charge uninsured , or out of network , or insured but not covered for their care, at charge master rates. Which of course the patients can’t afford. And it crushes their finances or they go without care I’ll summarize. Employers , and their members , are paying far more than they should to companies they don’t like working with , that effectively rip off both the employer and hospital , and they could eliminate the middlemen if they went directly to to the employer. It’s so simple. Sell your services to the employers that use your services at a price that is less than what nine companies charge for your services and you will make MORE money and employers will save a ton And if they did this, they could dump the chargemaster and reduce the price they bill patients when they are at their most vulnerable But they don’t want to change. And don’t get me started on how much hospitals over pay for drugs and devices because of the GPO deals they do. It’s just stupid. Which in turn leads to the hospital being a bad actor with 340b , facilities fees and afraid of their doctors who demand they pay more for things like glue and implants so they can get vacations. If you are a politician and reading this. Now you know why this is so fucked up and it’s not about capping rates. The insurance companies are smarter than you. They will just move the money to other places. It’s not about giving money to patients. You can’t shop for care from hospitals that are too gutless to walk away from the ins companies that distort all of healthcare economics Go to your local hospitals , particularly those at risk of closing and ask for their profitability by carrier. Fully burdened. Ask how much they spend on RCM and consultants. In many cases they could survive if they ran like a real business and hired execs that could do the work rather than just manage consultants. They could work out contracts in their communities rather than with ins companies and benefit everyone. The middlemen are not needed. Get rid of them
- Mar 24, 202615x their median
Engineering job openings are at the highest levels we’ve seen in over 3 years There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.
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 272 interactions against 4.2M followers, an engagement rate of 0.006%. Measured over 4 original posts, its engagement rate beats 56% of tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 103K times each, and 0.263% of those impressions turn into an interaction. That is about 2.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video, 25% are part of a thread and 75% link out. The account's strongest tracked post pulled 16K interactions, about 76x its own typical post. Only 4 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 Tim O'Reilly's engagement rate on X?
- Tim O'Reilly (@timoreilly) has an engagement rate of 0.006%, based on the median interactions across 4 original posts from the last 30 days against 4,241,643 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.006%, Tim O'Reilly sits above the 10th percentile of the 36,521 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 @timoreilly have real engagement?
- Its engagement rate beats 56% of the tracked X accounts closest to it in follower count, which puts it in the middle of its size range 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 @timoreilly post?
- Most posts go out around 19:00 UTC, and Saturday is its busiest day, at roughly 0.3 posts per day across the measured window.