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Brad Feld engagement report

@bfeld - 389K followers on X

Measured over 28 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 389K followers
Per impression
0.102%
6.9K views on a typical post
Reach
1.77%
of its followers see a post
Typical post
7
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
0.93/day
active 63% of days
Peak time
03:00 UTC
Sunday

A typical post picks up 7 interactions against 389K followers, an engagement rate of 0.002%. Measured over 28 original posts, its engagement rate beats 16% of 20,444 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 6.9K times each, and 0.102% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 28 posts sampled, 100% link out. The account's strongest tracked post pulled 416 interactions, about 59x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Brad Feld's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 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 7% 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 0.002%, Brad Feld sits below the 10th percentile of the 205,152 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 03:00 UTC, and Sunday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video4% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 4% 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 260 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

  • Sep 5, 202659x their median

    Amy texted me this list yesterday. I'm 60, closing in on 61, and thinking more about what I actually care about. The real luxuries in life: time, health, a quiet mind, slow mornings, rest without guilt, calm and "boring" days, people who love you back. https://t.co/UlpttjMRSr

    3572826532K viewsView on X
  • Aug 5, 20266.0x their median

    I felt lazy today so rather than doing simple math I asked Google how long it has been since WW2 ended. It told me it had been 10 years. I mean ... ok. Fortunately, I can still do math in my head (AI hasn't made me totally dumb yet) so I know it's 80 years, and Google's response when I told it was "You are completely right, and I apologize for that massive math mistake. It has actually been 80 years (turning 81 this coming September) since World War II officially ended on September 2, 1945." I'm so glad that AI is working so incredibly well.

    25313112K viewsView on X
  • Sep 4, 20265.3x their median

    Every piece of my home automation already worked. The only broken thing was that none of them talk to each other. So I built the dashboard myself. https://t.co/kWA7hmwJMe https://t.co/iVFuwtNOdR

    3214013K viewsView on X
  • Aug 30, 20265.1x their median

    Chapter 43: Out Loud Marcus is offered eight hours on a quantum computer. He pays by promising never to sell what his team built. Vlad asks what he gave away. "Five hundred billion dollars." "No way it's five hundred billion dollars." https://t.co/bvzZaZBnFe

    2538014K viewsView on X
  • Jul 26, 20264.9x their median

    I finished book 8 of Dungeon Crawler Carl on my run today. Eight months, eight books, savored every one. Dinniman's world building isn't decoration - the rules of each dungeon level are the plot. https://t.co/bIWtaF6FzG

    2626010K viewsView on X
  • Aug 30, 20263.7x their median

    I spent four days building the machinery around my novel instead of writing it. A dashboard that turns reader notes into published edits, two websites that exist inside the story, and a narration test that worked. https://t.co/AjDMSlubuV

    1907012K viewsView on X
  • Aug 17, 20263.6x their median

    I'd been playing Claude slot-machine - feeding it and moving it along instead of thinking about each problem I was trying to solve. So I took a week off, read a book, built a Lego T-Rex, and took my blog back from the AI. https://t.co/u13a2VM5Vy

    1717014K viewsView on X
  • Aug 9, 20262.7x their median

    In 1492 an abbot wrote a defense of copying manuscripts by hand. He had it printed. https://t.co/wDC2fc29fm

    141319.8K viewsView on X
  • Sep 29, 20262.3x their median

    Puck turns your own React components into a drag-and-drop page builder. It's the breakthrough behind AuthorMagic's book-site builder, and I liked it enough to invest in the company. https://t.co/2qCZHFEmfL

    112217.0K viewsView on X
  • Aug 20, 20262.1x their median

    For a decade now, the Startup Benchmarks Report (which you might remember as the OpenView SaaS report) has been a critical tool for founders trying to understand if they are on track. High Alpha took over the project a few years ago to make sure this data didn't disappear. They are currently surveying for the 10th-anniversary edition. I always encourage founders to look at this data, but the data is only useful if we all contribute to it. Spend 10 minutes filling out the survey. It's a small give that creates a massive get for the startup community. https://t.co/x120Lr4zPn

    150007.7K 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.

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Reading these numbers

A typical post picks up 7 interactions against 389K followers, an engagement rate of 0.002%. Measured over 28 original posts, its engagement rate beats 16% of 20,444 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 6.9K times each, and 0.102% of those impressions turn into an interaction. That is about 1.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 28 posts sampled, 100% link out. The account's strongest tracked post pulled 416 interactions, about 59x its own typical post.

What is Brad Feld's engagement rate on X?
Brad Feld (@bfeld) has an engagement rate of 0.002%, based on the median interactions across 28 original posts from the last 30 days against 388,646 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Brad Feld sits below the 10th percentile of the 205,152 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 @bfeld have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 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 @bfeld post?
Most posts go out around 03:00 UTC, and Sunday is its busiest day, at roughly 0.93 posts per day across the measured window.

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