Sriram Krishnan engagement report
@sriramk - 316K followers on X
Measured over 20 original posts from a 30-day window, last computed on September 17, 2026.
Engagement
A typical post picks up 369 interactions against 316K followers, an engagement rate of 0.117%. Measured over 20 original posts, its engagement rate beats 64% of 15,519 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 34K times each, and 1.08% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 10:00 UTC, and Saturday is the busiest day of the week. Of the 20 posts sampled, 5% are part of a thread and 20% link out. The account's strongest tracked post pulled 6.2K interactions, about 17x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on September 17, 2026.
Compared with accounts its own size
Sriram Krishnan's engagement rate beats 64% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 47% 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 0.117%, Sriram Krishnan sits above the 25th percentile of the 157,233 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 10:00 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% | 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 0% 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.
- 20% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 330 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
- Jun 6, 202617x their median
🇺🇸🚀 SOME NEWS: I'll be leaving my role at the White House at the end of this month. After a break I’ll be working on helping tackle some of the large challenges facing America on AI (more on that later). It is hard to express how big a privilege it has been to serve the American people and how grateful I am to have had the opportunity to do so. First and foremost, it has been an honor to serve under President @realDonaldTrump . Without his leadership, we would not be leading in the AI race. Second, I owe a lot to the person I’ve worked mostly closely with over the last 18 months - @DavidSacks . His continuing advocacy for America winning on AI has been and continues to be crucial. Some key public accomplishments from last year I’m proud of 1. Architecting and publishing the American AI Action Plan - charting the course for America to win on AI and helping execute on that for the last year. 2. The AI acceleration partnerships to help American AI stack win globally. 3. The National AI Policy Framework for Artificial Intelligence executive order (forming the basis for working with the Hill this year) 4. Advocating for the American AI stack with our allies globally (the AI summits in France and India, state visits to the UK, the Middle East and more) So what’s next? The past 18 months have given me a front row seat to this critical moment on AI facing America and our allies. Whether it is energy, data centers or a clear path for Americans to experience the benefits of AI, there are many tough issues we all need to navigate together. I plan on building institutions that help tackle some of those challenges for America and its allies. I want to thank many others who have helped along the way in the administration : Kevin Hassett, @mkratsios47 , CoS @SusieWiles47 , VP @JDVance , @StevenCheung47 , Sec Bessent, Sec Lutnick, Sec Rubio and @jacobhelberg , @USWREMichael , Josh Gruenbaum, Watson Fagan, Ryan Baasch, Jeff Kessler, Alexei Bulazel, DepSec Landau, DepSec Dabar, Will Scharf, Taylor Budowich, @JamesBlairUSA , @elonmusk and many, many others. You know who you are and I know I’ll continue to see you a lot more. Most of all, I want to thank @aarthir on supporting everything and being part of this unexpected but amazing journey from last January. None of this would be possible without her. This journey has been the privilege of a lifetime and shown me how special this country is and how it needs all of us to contribute in anyway we can - and I plan on continuing to do just that. 🇺🇸
- Jun 10, 20265.5x their median
just to state the obvious: think there's a collison course between those who believe research and science should be open and those who believe we are in an accelerating singularity curve. I have many smart friends who have believed both for a while but seeing more and more their realization that these beliefs will be in conflict. I for one believe that America and the west needs open and distributed access to research and computation and sharing of ideas at all times.
- Jul 11, 20264.3x their median
On Nolan's Odyssey https://t.co/Bf1KveMuhd
- Jul 16, 20263.7x their median
It is clear open source models and harnesses are having a moment. There's a few factors at work 1/ It is now obvious that you can catch up to near-SOTA performance and do so with a clear training lineage. See:@thinkymachines Inkling launch today. 2/ There are several well-funded, talented teams building open weight models now in the US and abroad. Along with the explosing of other near SOTA models (Grok/Cursor, Muse Spark), it is clear we are going to have a diverse ecosystem of models atleast on coding and agentic use. 3/ Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control. Organizations and countries are increasingly nervous about the frontier labs potentially competing with them down the road and don't want their data to enable a future competitor. 4/ Open source is a slider: you could bring your own open harness, your evals, your business context and are free to pick and choose your model of choice. 5/ Companies have now actively shifted from "how do we get our people to use tokens" to being uncomfortable with their token cost ballooning without a clear line to revenue. 6/ Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible. All of this leads to more choice for all of us !
- Aug 30, 20263.5x their median
everyone should go read @dwarkesh_sp’s post - it does a great job of laying out the timeline and what we know ( and don’t know) I do have two issues with it A) the use of anthropomorphic language. These are not civilizations nor do they have desires just like a CPU thread or a bunch of programs don’t. this doesn’t mean we downplay the importance of this moment for cyber - but using human parallels for what I believe is code is dangerous territory. B) IMO it gets the impact of open source models wrong and is unreasonably dismissive for reasons that are not clear. As @ClementDelangue highlights below HF was blocked from using closed models to analyze what was happening and had to turn to open weight models to help them make sense of it. This is a very key moment for how we think about intelligence and cyber and every bit of extra understanding and clarity helps.
- Sep 12, 20262.9x their median
I find myself disagreeing with Terence Tao (a very scary phrase to say!) and think the core question posed is whether the "misalignment" is between the mathematical community and humanity. In other words - are the Millenium Prize problems meant to incentivize advancements for humanity or foster the field of mathematics and mathematicians? As a counter example, if there was a prize for creating a drug that cured a rare strain of cancer, we would not care if it was AI that did it. We would be happy it has been solved. On the other hand, if long running agents figured out the puzzle in "Kryptos", the cryptographic statue in Langley, there would be something a tiny bit sad about the human artistry removed.
- May 20, 20262.8x their median
Something to think about : what does life look like 25 years from now if AI continues to improve. I don’t think any AI community ( broad tech industry , academia , various timelines predictions) have done a great job articulating a positive long term future for humanity and what it means for the institutions and traditions that a lot of the world holds dear.
- Sep 12, 20262.8x their median
on the idea of evaluators: think it's important that we have a distributed ecosystem of indepedent evaluators. the more eyes and people with distributed skill sets the better. it would be a good idea to fund several efforts on this.
- Jul 3, 20262.3x their median
Can confirm I have discussed many a LessWrong piece / concept inside the White House. Red queen race , Roko’s Basilisk,… https://t.co/ys9UOcDScF
- Sep 5, 20262.0x their median
I tried to teach myself 3d modeling with Blender and Maya many years ago and quickly gave up with the amount of effort involved. Stunning to see the GPT-Astra created Blender scenes purely from images.
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 369 interactions against 316K followers, an engagement rate of 0.117%. Measured over 20 original posts, its engagement rate beats 64% of 15,519 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 34K times each, and 1.08% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 10:00 UTC, and Saturday is the busiest day of the week. Of the 20 posts sampled, 5% are part of a thread and 20% link out. The account's strongest tracked post pulled 6.2K interactions, about 17x its own typical post.
- What is Sriram Krishnan's engagement rate on X?
- Sriram Krishnan (@sriramk) has an engagement rate of 0.117%, based on the median interactions across 20 original posts from the last 30 days against 316,397 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.117%, Sriram Krishnan sits above the 25th percentile of the 157,233 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 @sriramk have real engagement?
- Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (15,519 accounts), 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 @sriramk post?
- Most posts go out around 10:00 UTC, and Saturday is its busiest day, at roughly 0.97 posts per day across the measured window.