Python Software Foundation engagement report
@ThePSF - 692K followers on X
Measured over 16 original posts from a 30-day window, last computed on August 25, 2026.
Engagement
A typical post picks up 28 interactions against 692K followers, an engagement rate of 0.004%. Measured over 16 original posts, its engagement rate beats 23% of 3,739 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 17K times each, and 0.171% of those impressions turn into an interaction. That is about 2.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 13% are part of a thread and 100% link out. The account's strongest tracked post pulled 87 interactions, about 3.1x its own typical post. Recurring topics include #python, #psf, #pypi.
Measured over 16 original posts from a 30-day window, last computed on August 25, 2026. Recurring tags: #python, #psf, #pypi.
Compared with accounts its own size
Python Software Foundation's engagement rate beats 23% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 8 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 14% 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 36,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 229K |
| Monday | 0% | 284K |
| Tuesday | -2% | 273K |
| Wednesday | -1% | 250K |
| Thursday | -2% | 243K |
| Friday | -3% | 251K |
| Saturday | +3% | 226K |
Best tweets
- Jun 1, 20263.1x 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
- Jun 23, 20263.0x 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 ๐ https://t.co/CN0cSOcR1V #Python #Security #PSF https://t.co/CN0cSOcR1V
- Jul 1, 20262.7x their median
This year marks Metaโs 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
- 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 ๐ https://t.co/mIsXOYbKJW #Python #PyPI #SupplyChain #Security https://t.co/mIsXOYbKJW
- Aug 19, 20261.8x 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
- May 16, 20261.6x their median
The community mosaic at the PSF booth at #PyConUS 2026 is looking awesome ๐๐จ ๐คฉ 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
- Jul 9, 2026
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 ๐๐บ๏ธ https://t.co/CsRCCTGkmV
- Jun 29, 2026
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
- Jul 15, 2026
We want your vote! Voting eligible PSF Members (Supporting, Contributing, and Fellow) need to affirm their membership to vote in this yearโs PSF Board and/or Python Packaging Council elections to ensure that each election reaches quorum ๐ณ๏ธ #python https://t.co/IEBhY2Wo2z https://t.co/IEBhY2Wo2z
- Aug 13, 2026
We're excited to announce the nominees for the 2026 PSF Board Election ๐คฉ make sure to check out everyone's nomination statements to learn more about this years candidates! (And make sure to affirm your intention to vote by August 25th, 2 PM UTC!) #python https://t.co/AHyBfa6i5H
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
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 28 interactions against 692K followers, an engagement rate of 0.004%. Measured over 16 original posts, its engagement rate beats 23% of 3,739 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 17K times each, and 0.171% of those impressions turn into an interaction. That is about 2.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 13% are part of a thread and 100% link out. The account's strongest tracked post pulled 87 interactions, about 3.1x its own typical post. Recurring topics include #python, #psf, #pypi.
- 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 16 original posts from the last 30 days against 692,287 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 36,261 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 23% of the tracked X accounts closest to it in follower count (3,739 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 13:00 UTC, and Tuesday is its busiest day, at roughly 0.83 posts per day across the measured window.