Wes McKinney engagement report
@wesmckinn - 59K followers on X
Measured over 1 original post from a 30-day window, last computed on October 2, 2026.
Engagement
Early reading. We have captured 1 original post 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 20 interactions against 59K followers, an engagement rate of 0.034%. Posts are seen about 2.7K times each, and 0.753% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 19K interactions, about 959x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 2, 2026.
Where this sits in the catalog
At 0.034%, Wes McKinney sits above the 25th percentile of the 243,913 accounts in this comparison. That places it in the below the median band, which runs 0.027% to 0.158%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.027% |
| 50th percentile | 0.158% |
| 75th percentile | 0.744% |
| 90th percentile | 2.77% |
| 99th percentile | 82.4% |
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 Monday 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 | not measured | - |
| 01:00 UTC | not measured | - |
| 02:00 UTC | not measured | - |
| 03:00 UTC | not measured | - |
| 04:00 UTC | not measured | - |
| 05:00 UTC | not measured | - |
| 06:00 UTC | not measured | - |
| 07:00 UTC | not measured | - |
| 08:00 UTC | not measured | - |
| 09:00 UTC | not measured | - |
| 10:00 UTC | not measured | - |
| 11:00 UTC | not measured | - |
| 12:00 UTC | not measured | - |
| 13:00 UTC | not measured | - |
| 14:00 UTC | not measured | - |
| 15:00 UTC | not measured | - |
| 16:00 UTC | not measured | - |
| 17:00 UTC | not measured | - |
| 18:00 UTC | not measured | - |
| 19:00 UTC | not measured | - |
| 20:00 UTC | not measured | - |
| 21:00 UTC | not measured | - |
| 22:00 UTC | not measured | - |
| 23:00 UTC | not measured | - |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | not measured | - |
| Monday | not measured | - |
| Tuesday | not measured | - |
| Wednesday | not measured | - |
| Thursday | not measured | - |
| Friday | not measured | - |
| Saturday | not measured | - |
Best tweets
- Apr 28, 2026959x their median
Ghostty is leaving GitHub. I'm GitHub user 1299, joined Feb 2008. I've visited GitHub almost every single day for over 18 years. It's never been a question for me where I'd put my projects: always GitHub. I'm super sad to say this, but its time to go. https://t.co/DQDemHdytV
- Mar 9, 2026103x their median
https://t.co/tNsiY4fy87
- Jul 22, 202650x their median
I think loops are bullshit
- Feb 17, 20268.8x their median
New post: "The Mythical Agent-Month" With coding agents, we are writing code faster than ever. But hands on keyboards was never the bottleneck, a lesson from Fred Brooks's 1975 classic that we keep painfully relearning. Will it be different now, or will we run into the same "brownfield barriers" as new agent-native software projects scale up? https://t.co/OiY34ChD0p
- Aug 5, 20266.3x their median
Yep: I made a terminal app. Hello Ghosthub: a libghostty-based macOS terminal with one-click local/remote tmux session connect, auto-reconnect after network drops, and built-in git worktree management. I'm excited for @superlogical to give us something different and maybe better, but in the meantime just a more pleasant daily-driver tmux experience is big productivity bump for me: https://t.co/3lktDdzDyO
- Aug 12, 20265.3x their median
A write-up on our current agentic engineering process and tools at @KennSoftware in August 2026. Do we use loops, graphs, hypergraphs, Rube Goldberg machines? https://t.co/3VXgkSIbMr
- Jul 20, 20265.2x their median
New project launch: docbank, a local-first document system of record for humans and agents, using the same storage foundation as msgvault. File version history, built-in packing and compression, fast incremental backup and restore, and full auditability: https://t.co/LQIk4iMsM0
- Apr 22, 20264.8x their median
https://t.co/lqcKCyIZZJ
- Aug 10, 20263.5x their median
The Clanker Constitution: https://t.co/jfD0rWHiV0
- Aug 10, 20263.3x their median
Ghosthub 0.7.0 (https://t.co/fuUHXapbbY) is out with native support for Herdr sessions! This shifts Ghosthub from being tmux-only to "all the multiplexers". Zellij support is in the works, and Superlogical will be supported whenever it's released.
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 20 interactions against 59K followers, an engagement rate of 0.034%. Posts are seen about 2.7K times each, and 0.753% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 19K interactions, about 959x its own typical post. Only 1 original post 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 Wes McKinney's engagement rate on X?
- Wes McKinney (@wesmckinn) has an engagement rate of 0.034%, based on the median interactions across 1 original posts from the last 30 days against 59,209 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.034%, Wes McKinney sits above the 25th percentile of the 243,913 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 @wesmckinn have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @wesmckinn post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.