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Python Software Foundation engagement report

@ThePSF - 693K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 693K followers
Per impression
0.168%
16K views on a typical post
Reach
2.24%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.026%
4 bookmarks on a typical post
Posting rate
0.47/day
active 37% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 26 interactions against 693K followers, an engagement rate of 0.004%. Measured over 13 original posts, its engagement rate beats 22% 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 16K times each, and 0.168% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 8% are part of a thread and 100% link out. The account's strongest tracked post pulled 87 interactions, about 3.3x its own typical post. Recurring topics include #python, #psf, #europython.

Measured over 13 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #python, #psf, #europython.

Compared with accounts its own size

Python Software Foundation's engagement rate beats 22% 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 12% 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%, Python Software Foundation sits above the 10th percentile of the 204,424 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 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 10:00 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.

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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% 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 295 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 1, 20263.3x their median

    A @humble bundle for people learning Python, people automating busywork, people teaching the machines, and people trying to escape Excel. Pay what you want. DRM-free. Supports @ThePSF. https://t.co/cVTQjriHfs https://t.co/tOCBoQE9E3

    68160339K viewsView on X
  • Jun 23, 20263.5x their median

    The Python Security Response Team patched an authentication bypass in the https://t.co/98hzBemAFp release management API in under 48 hours. No evidence of exploitation, all artifacts verified. Check out the full writeup ๐Ÿ‘‡ https://t.co/CN0cSOcR1V #Python #Security #PSF https://t.co/CN0cSOcR1V

    7751246K viewsView on X
  • Jul 1, 20263.0x their median

    This year marks Metaโ€™s 10th consecutive year as a sponsor of @ThePSF! Python remains the most used programming language across our engineering stack, powering the backends of Instagram and Threads alongside our AI research infrastructure. By supporting the PSF, we aim to help ensure that Python remains robust, innovative and accessible for generations of engineers to come. Read our full reflection on our long-term commitment to Python: https://t.co/4GxLbkQCI4

    47719419K viewsView on X
  • May 18, 20262.0x their median

    The PSF's PyPI Safety and Security Engineer, @mikefiedler, is giving a keynote at OpenSSF Community Day this Thursday! "Anatomy of a Phishing Campaign" is a deep dive into the 2025 PyPI phishing attack, how it worked, and what stopped it. Thu May 21 @ 9:20am CDT ๐Ÿ‘‰ https://t.co/mIsXOYbKJW #Python #PyPI #SupplyChain #Security https://t.co/mIsXOYbKJW

    3020707.3K viewsView on X
  • Aug 19, 20261.9x their median

    #PyPI runs on ~zero AWS cost thanks to @FastlyDevs caching 99% of traffic + @AWSOpen credits covering the rest. Huge thanks to both! But 2026 broke an 8-year streak: AWS spend is up 69% YoY as agents & CI runs surge. Jacob Coffee, PSF Director of Engineering, on what's changing: https://t.co/1RyOwH1JCY #Python

    36122017K viewsView on X
  • Oct 1, 20261.8x their median

    In July 2026 Python core developers and special guests sat down at the #Python Language Summit at #EuroPython 2026, to discuss the future of the Python programming language including free-threading, #Rust, garbage collection, and namespaces. Find a summary on the PSF blog โฌ‡๏ธ https://t.co/9HtRXEf4kt

    3674015K viewsView on X
  • Aug 5, 20261.7x their median

    The 2026 Python Type System & Tooling Survey is live ๐Ÿ๐Ÿ“โ“ No typing experience neededโ€”your perspective as a #Python dev matters most. Take a couple minutes to help improve Python typing for all! https://t.co/SyYbiSQ7Vt This survey was developed with support from the Pyrefly team at Meta, the PyCharm team at JetBrains, the Python team at Microsoft, and the typing community on https://t.co/EwJ1rk0uBU. https://t.co/SyYbiSQ7Vt

    33120020K viewsView on X
  • May 16, 20261.6x their median

    The community mosaic at the PSF booth at #PyConUS 2026 is looking awesome ๐Ÿ๐ŸŽจ ๐Ÿคฉ Come help us and color a tile (or a few) before the expo hall closes at the end of the day (no art skills required, we promise!) #PythonIsForEveryone https://t.co/vimxgh3kEK

    386105.2K viewsView on X
  • Jul 9, 20261.6x their median

    The PSF Diversity & Inclusion Workgroup is starting monthly office hours on the PSF Discord! Join us Tuesday, July 28 at 1 PM UTC in the psf-diversity channel to chat, ask questions, and share what you're working on ๐Ÿ๐Ÿ—บ๏ธ https://t.co/CsRCCTGkmV

    22170211K viewsView on X
  • Jun 29, 20261.6x their median

    Big news for the #Python packaging world: The inaugural Python Packaging Council election is coming up soon! The council will be the technical decision-making body for Python packaging specs, coordinating across tools, teams, and the wider community. Learn more on the PSF blog: https://t.co/NtoEBL1yum

    26141012K 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

#python#psf#europython#rust

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 26 interactions against 693K followers, an engagement rate of 0.004%. Measured over 13 original posts, its engagement rate beats 22% 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 16K times each, and 0.168% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 8% are part of a thread and 100% link out. The account's strongest tracked post pulled 87 interactions, about 3.3x its own typical post. Recurring topics include #python, #psf, #europython.

What is Python Software Foundation's engagement rate on X?
Python Software Foundation (@ThePSF) has an engagement rate of 0.004%, based on the median interactions across 13 original posts from the last 30 days against 693,223 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Python Software Foundation sits above the 10th percentile of the 204,424 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 @ThePSF have real engagement?
Its engagement rate beats 22% 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 @ThePSF post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 0.47 posts per day across the measured window.

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