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Jason Fried engagement report

@jasonfried - 5.3M followers on X

Measured over 80 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 5.3M followers
Per impression
0.239%
90K views on a typical post
Reach
1.70%
of its followers see a post
Typical post
215
interactions (median)
Saved
0.031%
28 bookmarks on a typical post
Posting rate
6.63/day
active 103% of days
Peak time
20:00 UTC
Thursday

A typical post picks up 215 interactions against 5.3M followers, an engagement rate of 0.004%. Measured over 80 original posts, its engagement rate beats 23% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 90K times each, and 0.239% of those impressions turn into an interaction. That is about 1.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 80 posts sampled, 59% carry an image or video, 11% are part of a thread and 24% link out. The account's strongest tracked post pulled 54K interactions, about 251x its own typical post.

Measured over 80 original posts from a 30-day window, last computed on October 24, 2026. Recurring tag: #railsworld.

Compared with accounts its own size

Jason Fried's engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,182 accounts, accounts of similar size (decile 10 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 17% 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 0.004%, Jason Fried sits above the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 20:00 UTC, and Thursday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video59% of posts+111%+108% to +115%34K
Outbound link24% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 59% 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.
  • 24% 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 249 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Oct 6, 2026251x their median

    made a rug for your desktop so you can sweep your mess under it https://t.co/vZAAfV1qIv

    47K5.7K5339434.8M viewsView on X
  • Aug 21, 202694x their median

    One of the coolest uses of a text effect that I’ve seen in a long while. Bravo @hermeuscorp! https://t.co/Ybro5dL7iP

    19K86019696682K viewsView on X
  • Aug 13, 202667x their median

    General Dynamics annual reports, 1967–1977 https://t.co/VdBSHqmmkE

    13K81060802.4M viewsView on X
  • Sep 27, 202659x their median

    Duo-Man offers the complete walkman experience on the iPhone Duo. Open the Duo to pick and 'insert' the cassette, Close the Duo to start listening. Yes, I actually recorded the button clicks and static noise from a real Walkman! It was fun making this at @bitrig hacks today. https://t.co/juSrLhofrH

    11K1.0K3123832.3M viewsView on X
  • Oct 4, 202658x their median

    I take a moment to salute, as I regularly do, one of the best signs in America — found at the Milwaukee airport, after security screening (with the discombobulation such screening entails). At the same time, I salute the boundless ingenuity of the English language. https://t.co/yz7vTiKs9z

    11K8108859312K viewsView on X
  • Aug 14, 202652x their median

    Omarchy Quattro is out!! This is one of the greatest software releases in my professional career. I hope you enjoy using it just as much as I did building it ✌️ https://t.co/81wLStgH7P https://t.co/3KiamkmNS1

    9.2K8266544172.3M viewsView on X
  • Sep 17, 202645x their median

    After capturing over 100 hours worth of exposures, I'm pleased to share my latest "Deep Field" image, containing THOUSANDS of galaxies and a brand-new supernova that just kicked off ~2 weeks ago! Timelapse showing the supernova, prints, and more details in the thread 👇 https://t.co/RptuuTrxKy

    8.5K94726180462K viewsView on X
  • Oct 13, 202641x their median

    Introducing TrellisWM: The Fractal Window Manager for MacOS Its how the desktop should have always been. Download at https://t.co/7bkE5kwfio https://t.co/Ep9biPVfcA

    7.9K432360201758K viewsView on X
  • Oct 2, 202640x their median

    https://t.co/ZH156jbmkg

    8.3K302820208K viewsView on X
  • Oct 8, 202639x their median

    i built @WisprFlow’s paid ads program here’s how i’d rebuild it in 30 days https://t.co/kodwNttaTt

    7.5K3212262822.0M viewsView on X

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.

Recurring topics

#railsworld

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 215 interactions against 5.3M followers, an engagement rate of 0.004%. Measured over 80 original posts, its engagement rate beats 23% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 90K times each, and 0.239% of those impressions turn into an interaction. That is about 1.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 80 posts sampled, 59% carry an image or video, 11% are part of a thread and 24% link out. The account's strongest tracked post pulled 54K interactions, about 251x its own typical post.

What is Jason Fried's engagement rate on X?
Jason Fried (@jasonfried) has an engagement rate of 0.004%, based on the median interactions across 80 original posts from the last 30 days against 5,289,732 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Jason Fried sits above the 10th percentile of the 204,491 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 @jasonfried have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom quarter for its size 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 @jasonfried post?
Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 6.63 posts per day across the measured window.

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