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MySQL engagement report

@MySQL - 227K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Per follower
0.007%
of 227K followers
Per impression
0.432%
3.5K views on a typical post
Reach
1.53%
of its followers see a post
Typical post
15
interactions (median)
Saved
0.029%
1 bookmarks on a typical post
Posting rate
0.23/day
active 20% of days
Peak time
14:00 UTC
Tuesday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 15 interactions against 227K followers, an engagement rate of 0.007%. Posts are seen about 3.5K times each, and 0.432% of those impressions turn into an interaction. That is about 1.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 100% link out. The account's strongest tracked post pulled 381 interactions, about 25x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on October 1, 2026.

Where this sits in the catalog

At 0.007%, MySQL sits above the 10th percentile of the 156,969 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video80% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 80% 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 616 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

  • Jan 20, 202625x their median

    🚀 🐬 MySQL 8.4.8🐬is now available! Build, and continue to build, secure, scalable, and robust applications with MySQL. MySQL 8.4.8 (Long-Term Support (LTS) version) brings several improvements: 👉 InnoDB Redo Logging Enhancements: Error messages now include the current Log Sequence Number (LSN) redo log capacity details, providing deeper insights into redo log operations. 👉 The bundled OpenSSL library has been updated to version 3.0.18. 👉 As always, this release addresses various bugs, including race conditions in InnoDB and issues with binary log purging, to enhance overall stability and performance. 👉 For more details, please refer to the Release Notes, at: https://t.co/kmALB1cFRP 👉 Download the MySQL Community Server 8.4.8 LTS (and other versions, including 9.6.0 Innovation and 8.0.45) from https://t.co/i1Zg1iIGQJ #MySQL #Oracle #Database #ReleaseNotes

    316604121K viewsView on X
  • Apr 22, 202611x their median

    It’s here 🚀 MySQL 9.7.0 LTS is now generally available. This release marks an important milestone—establishing the next LTS baseline for MySQL while continuing to expand access to key capabilities across both Community and Enterprise editions. Highlights include: => Expanded functionality in MySQL Community Edition (observability, telemetry, HA, performance) => Dynamic Data Masking for Enterprise users => Enhancements for modern application development and operations MySQL 9.7.0 LTS reflects our ongoing direction: delivering more value, more openly, and closer to the needs of our users. 👉 Learn more: Learn more: https://t.co/DVMwSTU7m3

    117363529K viewsView on X
  • Jan 27, 20264.3x their median

    🚀 We are pleased to announce the availability of MySQL HeatWave 9.6.0. This release brings innovations for faster analytics, simpler AI workflows, and more flexible lakehouse loading. - MySQL HeatWave analytics: support for GROUPING SETS modifier lets specify multiple groupings of data in a single query, avoiding the need to do a UNION ALL across multiple queries. - Auto materialized views now let the optimizer automatically rewrite parts of queries to use existing materialized views for performance that can be orders of magnitude faster. - HeatWave AutoML and GenAI: The 'NL2ML' routine adds a new 'skip_generate' parameter so you can skip response generation and return only citations. This is ideal for integrating with external LLMs or MCP servers. - HeatWave Lakehouse: Support for nested data types (lists, maps, nested structures) in Parquet data. HeatWave loads such columns as flattened JSON. - A `VALIDATE ONLY` option when loading data (via `ALTER TABLE ... SECONDARY_LOAD`) validates data without loading any data. You can choose to validate all rows or a specified number of rows. -> See the Release Notes to learn more about the new features in MySQL HeatWave 9.6.0: https://t.co/cTkUNp8pbM -> See the documentation: https://t.co/uIbGohv8l7 -> Try MySQL HeatWave: https://t.co/7AlKcama85

    595003.6K viewsView on X
  • Mar 16, 20263.3x their median

    🐬🚨Oracle MySQL Community Early Access Builds Are Here! The MySQL 9.7.0 Community Edition Early Access Release build is now available! In continuation of Oracle's commitment to the MySQL Community, and as shared with the community, we are pursuing a three-pronged strategy: ① Deliver innovation by introducing developer-focused features into the MySQL Community Edition. ② Extend and enrich the ecosystem and adoption. ③ Increased transparency and encouraging broader community participation. New features in MySQL 9.7.0: ⦿ Flow-control monitoring for MySQL InnoDB Cluster (Group Replication) ⦿ MySQL JSON Duality Views ⦿ Hypergraph Optimizer ⦿ Telemetry (OpenTelemetry / OTLP) ⦿ Profile-Guided Optimization (PGO) ⦿ Multi-threaded applier: extended applier statistics https://t.co/TozfAZTeQC Our next public MySQL Community discussion will be on March 23. Join our next Public MySQL Community Roadmap Discussion Webinar (Edition #2). Register at https://t.co/36PJOs7g8V

    398126.4K viewsView on X
  • Apr 23, 20262.3x their median

    🚀 Introducing MySQL 9.7 LTS: New Features for Modern Application Development May 12 at 8:00 AM PT / 11:00 AM EST / 5:00 PM CEST 👉 Join us on May 12 for an in-depth look at MySQL 9.7 LTS, the latest long-term support release built with a strong developer focus. In this webinar, we will explore the newest innovations designed to help organizations build, scale, and secure modern applications faster. 👉 Discover what is new in MySQL along with advancements in MySQL Server REST Service, the Hypergraph optimizer, and security including dynamic data masking and OpenID authentication. We will also cover powerful developer-centric enhancements such as the in-database JavaScript programming language and JSON duality, as well as the latest features, bug fixes, and security updatesincluded in the release. 👉 Whether you are a developer, architect, DBA, or IT leader, this session will show you how MySQL 9.7 LTS can help you accelerate application development while improving performance, flexibility, and security. 👉 Speakers: Mike Frank – Director, MySQL Product Management Jayant Sharma – Senior Director, MySQL Product Management Registration links: https://t.co/iWIJQ9Qs4H

    323003.4K viewsView on X
  • Sep 16, 20261.9x their median

    Join MySQL on October 8 for the AMS DB October meetup in Amsterdam. Hosted by the MySQL team at Oracle together with the AMS DB meetup group, this evening will bring the community together for MySQL technical content, discussion, refreshments, and networking. The program includes: 👉 The Path to MySQL Open Innovation — Heather VanCura 👉 MySQL technical session — Matthias Crauwels Heather will share how MySQL is entering a new phase of community engagement, open collaboration, and contribution following the MySQL 9.7 Community Edition release. Technical session details are being finalized, so reserve your place now and watch for more updates. Date: October 8, 2026 Doors open: 17:45 Program: 18:00–20:00 Register here: https://t.co/hLidIiOcKN

    242204.2K viewsView on X
  • May 5, 20261.8x their median

    Update 🚀 Heather VanCura is joining our MySQL 9.7 LTS webinar! With a new speaker added, this session will bring even more perspective on how MySQL is evolving—from performance and security to developer-focused features and community direction. We’re covering what’s new in 9.7 and how it can impact real-world applications. 👉 What are you most interested in exploring in this release? 👉 Join us on May 12 and be part of the discussion: https://t.co/HN0kB0Efyc

    195302.3K viewsView on X
  • Mar 2, 20261.8x their median

    MySQL Community is hiring! We’re looking for a MySQL Architect, Community & Ecosystem. This role combines deep MySQL/cloud architecture experience with community leadership—engaging developers across forums and events, producing technical blogs/tutorials, and partnering closely with engineering and product to turn feedback into roadmap impact. Recommendations are very welcome. If you’d like to refer someone, or you’re considering applying yourself, apply here: https://t.co/21krEHamU6

    216002.5K viewsView on X
  • Sep 21, 20261.7x their median

    New on the MySQL Blog: MySQL Community Engagement in Brazil and Europe. This fall, Heather VanCura is connecting with MySQL users, developers, DBAs, customers, contributors, and community leaders across Brazil and Europe. The blog highlights upcoming stops in São Paulo, London, Amsterdam, and Glasgow, with conversations focused on community engagement, roadmap transparency, feedback, collaboration, and technical contribution. Read the blog to see where MySQL will be connecting with the community next: https://t.co/HY6YcAvoWH

    203204.0K viewsView on X
  • Dec 5, 20251.7x their median

    🐬 🇧🇪 We are excited to announce that registration for the Belgian MySQL Days 2026 is now open! 🇧🇪 🐬 👉 Join us at the renowned ICAB Incubator in Belgium on January 29-30, 2026, for an enriching experience designed for MySQL enthusiasts. Over two days, you'll engage with expert speakers on vital topics like database optimization and performance tuning, while also enjoying valuable networking opportunities with fellow professionals. 👉 This event is an excellent opportunity to connect face-to-face with MySQL Engineers, Experts & the Community. We encourage interested speakers to submit their talk proposals early to enrich the agenda with diverse topics (CFP at: https://t.co/1164xLDl3B) 👉 Don’t miss this chance to enhance your knowledge and be part of the vibrant MySQL community! Registration: https://t.co/eiFWZ7IuTJ

    132911.7K 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 15 interactions against 227K followers, an engagement rate of 0.007%. Posts are seen about 3.5K times each, and 0.432% of those impressions turn into an interaction. That is about 1.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 100% link out. The account's strongest tracked post pulled 381 interactions, about 25x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is MySQL's engagement rate on X?
MySQL (@MySQL) has an engagement rate of 0.007%, based on the median interactions across 5 original posts from the last 30 days against 226,687 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, MySQL sits above the 10th percentile of the 156,969 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 @MySQL have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @MySQL post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.23 posts per day across the measured window.

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