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Andrew Gazdecki engagement report

@agazdecki - 317K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 317K followers
Per impression
1.04%
6.3K views on a typical post
Reach
2.00%
of its followers see a post
Typical post
66
interactions (median)
Saved
0.19%
12 bookmarks on a typical post
Posting rate
1.63/day
active 33% of days
Peak time
12:00 UTC
Wednesday

A typical post picks up 66 interactions against 317K followers, an engagement rate of 0.021%. Measured over 37 original posts, its engagement rate beats 33% 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 6.3K times each, and 1.04% of those impressions turn into an interaction. That is about 2.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 37 posts sampled, 32% carry an image or video and 54% link out. The account's strongest tracked post pulled 7.3K interactions, about 110x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on October 14, 2026.

Compared with accounts its own size

Andrew Gazdecki's engagement rate beats 33% 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 44% 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 0.021%, Andrew Gazdecki sits above the 10th percentile of the 204,880 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 204,880 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 percentile0.678%
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 12:00 UTC, and Wednesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video32% of posts+111%+108% to +115%34K
Outbound link54% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 32% 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.
  • 54% 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 433 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

  • Oct 12, 2026110x their median

    The ability to start a company, find customers and generate revenue is basically a superpower.

    6.1K9911056481K viewsView on X
  • Oct 11, 202615x their median

    Founders who can make things happen without a big budget are going to do pretty well in life.

    81890641326K viewsView on X
  • Aug 27, 202611x their median

    Startup founders should remember that nobody really knows what they’re doing at the beginning.

    56860941116K viewsView on X
  • Sep 15, 202611x their median

    Building a startup from absolutely nothing into millions in revenue will never stop being fucking cool.

    5886465716K viewsView on X
  • Oct 13, 202611x their median

    One of the best things about startups is that you can compete with companies 100x your size and actually win.

    57169611516K viewsView on X
  • Sep 9, 202610x their median

    Founders who think in decades build different companies than founders who think in months.

    5335785716K viewsView on X
  • Aug 30, 20269.5x their median

    Founders should celebrate their first 10 customers just as much as their first 1,000.

    4924288413K viewsView on X
  • Aug 12, 20259.3x their median

    I'm proud to share @acquiredotcom made the 2025 Inc. 5000 list of fastest-growing companies ranking #563. Since launch we have: > Helped 2,000+ founders sell > Closed $500M+ in deals > Built a network of 500,000+ buyers > Expanded to 100+ countries We're just getting started! https://t.co/LOpz2Uz3w4

    459201344112K viewsView on X
  • Sep 2, 20269.1x their median

    Founders have an incredible ability to turn “we’ll figure it out” into an actual company.

    4625771911K viewsView on X
  • Aug 29, 20268.6x their median

    One of the coolest things about startups is that a tiny team can build something worth millions.

    4234791514K 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 66 interactions against 317K followers, an engagement rate of 0.021%. Measured over 37 original posts, its engagement rate beats 33% 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 6.3K times each, and 1.04% of those impressions turn into an interaction. That is about 2.00% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 37 posts sampled, 32% carry an image or video and 54% link out. The account's strongest tracked post pulled 7.3K interactions, about 110x its own typical post.

What is Andrew Gazdecki's engagement rate on X?
Andrew Gazdecki (@agazdecki) has an engagement rate of 0.021%, based on the median interactions across 37 original posts from the last 30 days against 316,865 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Andrew Gazdecki sits above the 10th percentile of the 204,880 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 @agazdecki have real engagement?
Its engagement rate beats 33% 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 @agazdecki post?
Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 1.63 posts per day across the measured window.

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