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Charity Majors

@mipsytipsy · San Francisco · joined 16 Nov 2009

honeycomb, observability, the second edition of "Observability Engineering" is coming out soon. find me on substack, bsky, LI, and occasionally here. 🐝🏳️‍🌈🦄

81 900Followers
590Following
64 154Posts total
75.8KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 651this account2 751median for 10K–100K
Reach, %11.78%this account9.00%median for 10K–100K
Engagement, %0.56%this account1.65%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 6512 7513.51×
Reach (views ÷ followers)11.78%9.00%1.31×
Engagement rate0.56%1.65%0.34×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

2.8K2 Jul
19.9K7 Jul
28.6K9 Jul
10.2K10 Jul
9.2K5 Aug
5.2K20 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.81%2 Jul
0.54%7 Jul
0.59%9 Jul
0.13%10 Jul
0.30%5 Aug
0.94%20 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes51.0%331 in total
Reposts3.2%21 in total
Replies3.7%24 in total
Quotes1.8%12 in total
Bookmarks40.2%261 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

the first in a 3-part series on @honeycombio's AI norms and values is up, called "How We Do Business at Honeycomb." https://t.co/3BnBkOwiya values are not supposed to be aspirational. values should codify how things actually work. this is how it works at our company. 5.2K views · 43 likes · 2 reposts · 4 replies 20 Aug 2026 AGREE. 9.2K views · 26 likes · 0 reposts · 1 replies 05 Aug 2026 Observability is a topic that I think could use more rigor and less fluff. Many people, including myself, are muddy on the topic. And we're in the middle of a big paradigm shift. Digging into some great resources from @mipsytipsy to get a better understanding myself. Will share 10.2K views · 10 likes · 0 reposts · 2 replies 10 Jul 2026 Years ago, I predicted that columnar storage would remake the landscape of observability tools. I thought we'd see a wave of new columnar-backed observability tools grow up to displace the old, creaky, three pillars model with tech that is faster, easier, cheaper, and better in 28.6K views · 145 likes · 8 reposts · 10 replies 09 Jul 2026 Go read this post from Mat Duggan right now -- "@ClickhouseDB is Winning the Observability Wars". Go! I'll wait. https://t.co/jLunSZrSDl "Every other observability backend I've worked with mutates as it grows... ClickHouse at 10 TB a day looks like ClickHouse at 1 TB a day htt 19.9K views · 88 likes · 9 reposts · 6 replies 07 Jul 2026 Everybody hates AI mandates -- unsurprisingly, since most of them are terrible and poorly resourced. But they don't have to be terrible. A mandate plus enablement is the most honest and effective way to fund a lot of change on a tight timeline. https://t.co/4uTYtIPolO https://t 2.8K views · 19 likes · 2 reposts · 1 replies 02 Jul 2026

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