Jess Lee engagement report
@jesskah - 249K followers on X
Measured over 1 original post from a 30-day window, last computed on September 9, 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 434 interactions against 249K followers, an engagement rate of 0.175%. Posts are seen about 91K times each, and 0.478% of those impressions turn into an interaction. That is about 36.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 97K interactions, about 224x 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 September 9, 2026.
Where this sits in the catalog
At 0.175%, Jess Lee sits above the 50th percentile of the 66,128 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.9% |
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 13:00 UTC, and Tuesday 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 | 100% 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.
- 100% 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 2267 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 16, 2023224x their median
Who should be President in 2032?
- Jun 10, 20266.6x their median
We raised $6M led by Sequoia to build the future of travel. Watch me plan a perfect trip to Mexico City in 3 minutes. Flights, hotels and a full itinerary that matches my preferences. All bookable on the spot. Available today, free to use. https://t.co/TNSoJCRA3a
- Jan 14, 20265.5x their median
https://t.co/FBs5ZCwi5o
- Apr 7, 20262.9x their median
We raised $72M from Sequoia/YC and hit 8-figures in ARR. Then we shut it all down & rebuilt the company from scratch. Today we’re launching the new Mutiny: the first AI agent for GTM teams to create anything customer-facing, in minutes. Comment "Mutiny" to get 3X free credits. https://t.co/TEqySNeOzk
- Jan 12, 20262.6x their median
Humans learn by watching. Robots should too. https://t.co/2TnSmrNdWh
- Mar 31, 20262.5x their median
It's a great day to be a founder: we've named @dougleone chairman of @sequoia. Doug passed the baton a few years back, but he never left: he’s been in the office, working on boards, and serving as consigliere to the next generation. When we realized how much gas Doug has left in the tank, we invited him to ramp back up as an investor at Sequoia. Please cut him some slack as he onboards over the next couple weeks. Let’s go!
- Jan 23, 20262.2x their median
https://t.co/d9Wch0HBzh
- Nov 13, 20251.7x their median
“Startups are somewhere between completely impossible and very, very, very, very hard.” That's @parkerconrad, CEO of @Rippling, on the first episode of Long Strange Trip. Parker's got one hell of a story. Violently fired by David Sacks from Zenefits. Character assassinated in the press. Everyone (including me) thought he was done. Then he built a $17B company in the exact same space. In this episode, Parker talks about turning your darkest professional moment into rocket fuel. How he keeps a 4,000-person scaleup moving at startup speed. Why he he's hired over 100 ex-founders. And what it's really like when someone plants a spy inside your company. This isn't your typical founder story. It's raw, it's real, and there are some serious lessons buried in the drama. I hope you enjoy it.
- Jan 26, 20261.7x their median
“Consumer is dead” is the laziest take in tech. If you believe it, you’ve already missed the next cycle. Consumer doesn’t die. It reboots with new technology and then you have a 7–10 year window to invest to capture 90% of that value. That window is now, so.... Today we announce our VC fund, Connect Ventures, backing the most exceptional Consumer founders.
- Feb 9, 20261.6x their median
The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.
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 434 interactions against 249K followers, an engagement rate of 0.175%. Posts are seen about 91K times each, and 0.478% of those impressions turn into an interaction. That is about 36.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 97K interactions, about 224x 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 Jess Lee's engagement rate on X?
- Jess Lee (@jesskah) has an engagement rate of 0.175%, based on the median interactions across 1 original posts from the last 30 days against 248,920 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.175%, Jess Lee sits above the 50th percentile of the 66,128 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 @jesskah have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @jesskah post?
- Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 0.17 posts per day across the measured window.