Jason ✨👾SaaStr.Ai✨ Lemkin engagement report
@jasonlk - 254K followers on X
Measured over 78 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 57 interactions against 254K followers, an engagement rate of 0.023%. Measured over 78 original posts, its engagement rate beats 34% of 20,444 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 8.7K times each, and 0.655% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 78 posts sampled, 42% carry an image or video and 21% link out. The account's strongest tracked post pulled 510 interactions, about 8.9x its own typical post.
Measured over 78 original posts from a 30-day window, last computed on September 26, 2026.
Compared with accounts its own size
Jason ✨👾SaaStr.Ai✨ Lemkin's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 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 32% 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 0.023%, Jason ✨👾SaaStr.Ai✨ Lemkin sits above the 10th percentile of the 204,798 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 10:00 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 | 42% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 21% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 42% 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.
- 21% 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 456 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 2, 20268.9x their median
There’s an alternate reality where Slack never sold to Salesforce and is operating in full founder mode, aggressively embracing AI. I’d love to see what that product would look like. And what market cap they’d be trading at rn.
- Sep 20, 20265.7x their median
Don't send a resume to a CEO Send the CEO an email with 3 things you could own at their startup -- and how and why 10%-90% chance you get hired
- Sep 23, 20264.1x their median
Bird secures $450M and opens its infrastructure to AI agents. Debt financing led by J.P. Morgan. Still private and independent. Meet Agentic Harness: agents can email, use WhatsApp, make calls—even get their own eSIM. What would you build with it? https://t.co/zcKTe4nJGF
- Sep 23, 20263.4x their median
So almost every pre-AI B2B product we use has told us they are raising prices for agent access. Salesforce and HubSpot are two of the latest, albeit differently (the price increases at HubSpot seem to be mainly for their own agents, while Saleforce is increasing prices for third party agents). But it’s not just them. Another niche CRM we’ve used for 5+ years just told us we have to pay extra for agent use of API. Another niche product we use just deprecated the API we were using for 10K. Maybe the only apps not doing this … are the ones that started agentic. What I worry is the vendors aren’t thinking this through. The immediate reaction of our agents to agentic price increases is … How Can We Work Around Them. Not cheat. But literally to move data off all these platforms so there is no API tax for the agents to use them. And the humans naturally will want to stop having their agents use apps that raise steep prices to use them. So I do worry these vendors are inadvertently creating an agentic death spiral. Usage will drop, new agents will move off the platforms as much as practical, and these API tools will lead to less usage, less stickiness, and … less of a moat.
- Sep 19, 20263.0x their median
Founders notice everything. Every bug, Every screwed up deal, Every employee that didn't give it their all, Everything every competitor does, Every moment that ever mattered. Everything that matters. Just make sure you keep most of it to yourself.
- Sep 7, 20262.6x their median
Way oversimplifying, but I think in B2B today, if you have the best agent in your space, you win. We thought the fact the LLMs were open to everyone would make a lot of AI workflows in B2B something of a commodity. Everyone would just have great AI chat, receptionists, dashboards, SDRs. So there would be no competitive benefit in AI per se for many B2B apps. All the agents would do it all, well. That day may come soon enough, but it’s not remotely here today. We’re back to those crazy times, still early in a new age, when the best can win by truly being the best. But you have to be 1000% honest here on what that means. It doesn’t mean parity. It doesn’t mean evals. It means solving big customer problems with agents materially and viscerally better than everyone else in your category. Go make it happen.
- Sep 24, 20262.6x their median
The best marketer I've ever worked with said to me early that you have to fire all your agencies every 6 months Why? They give you their best upfront, and then turn the gig into an annuity staffed with the mediocre I thought it was a bit aggressive But he was right
- Sep 22, 20262.5x their median
No idea where any founder I've invested in went to college
- Sep 20, 20262.4x their median
Muse is great and I use it every day. It’s super slick software. But, like every one of the 21+ other agents we use in production … it requires daily attention if you really want it to take actions that matter It drifts, scheduled tasks don’t fire, quality decays for unclear reasons, etc., at least on more complex and scheduled tasks. This doesn’t mean it isn’t awesome. It is. It just means, like all our other agents … it’s work.
- Sep 4, 20262.2x their median
Off to last coffee meeting of day https://t.co/7bZwnwLBGs
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 57 interactions against 254K followers, an engagement rate of 0.023%. Measured over 78 original posts, its engagement rate beats 34% of 20,444 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 8.7K times each, and 0.655% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 78 posts sampled, 42% carry an image or video and 21% link out. The account's strongest tracked post pulled 510 interactions, about 8.9x its own typical post.
- What is Jason ✨👾SaaStr.Ai✨ Lemkin's engagement rate on X?
- Jason ✨👾SaaStr.Ai✨ Lemkin (@jasonlk) has an engagement rate of 0.023%, based on the median interactions across 78 original posts from the last 30 days against 254,427 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.023%, Jason ✨👾SaaStr.Ai✨ Lemkin sits above the 10th percentile of the 204,798 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 @jasonlk have real engagement?
- Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 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 @jasonlk post?
- Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 3.73 posts per day across the measured window.