BLUESKY
PROFILE
STATISTICS
Last update: 2024-11-25

Martin Kleppmann

martin.kleppmann.com
Associate Professor in Cambridge, researching decentralised systems and security protocols. Advisor to the Bluesky team. Wrote “Designing Data-Intensive Applications” (O’Reilly). he/him

Followers

18,846
7 days:1,988
14 days:4,981
30 days:7,207

Followers by date

2024-11-25:18,846173

2024-11-24:18,673267

2024-11-23:18,406208

2024-11-22:18,198242

2024-11-21:17,956250

2024-11-20:17,706453

2024-11-19:17,253395

Follows

336
7 days:17
14 days:28
30 days:48

Follows by date

2024-11-25:3360

2024-11-24:3363

2024-11-23:3332

2024-11-22:3311

2024-11-21:3309

2024-11-20:3211

2024-11-19:3201

Skeets

428
7 days:30
14 days:48
30 days:84

Skeets by date

2024-11-25:42811

2024-11-24:4170

2024-11-23:4170

2024-11-22:4172

2024-11-21:4153

2024-11-20:4126

2024-11-19:4068

Likes

7 days:739
14 days:3,032
30 days:3,849

Likes by date

2024-11-25:121

2024-11-24:0

2024-11-23:0

2024-11-22:172

2024-11-21:10

2024-11-20:54

2024-11-19:382

Reskeets

7 days:77
14 days:324
30 days:429

Reskeets by date

2024-11-25:8

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2024-11-23:0

2024-11-22:32

2024-11-21:0

2024-11-20:6

2024-11-19:31

Top 5 Most Liked Skeets (14 days)
1.
I’m fortunate to have a call with the Bluesky backend team for an hour a week, and I’m continually blown away at how good they are at engineering their systems, how thoughtful they are about protocol design, and how smoothly they’ve been handling a huge influx of new users. Seriously impressive
1273
2.
In June Elon posted this graph of the rate of likes on X. It doesn't have a unit on the y axis, but it's plausible to assume that it's events/sec. If that is true, X in June was handling about 20k likes/sec. For comparison, Bluesky is now handling about 700 likes/sec during the busy part of the day.
562
3.
As Bluesky is now so lively, it seems likely that the network effect will start working in its favour. It's increasingly plausible that Bluesky will become as big as X. Source for X data: x.com/elonmusk/sta... Source for Bluesky data: bskycharts.edavis.dev/edavis.dev/b... (thanks @edavis.dev)
187
4.
True!
181
5.
If we take rate of likes as a general measure of activity, that means X was about 30 times bigger in June than Bluesky is now. That may seem like a big difference, but keep in mind that Bluesky has consistently been doubling user numbers every few months, and a factor of 30 is only 5 doublings.
159
Top 5 Most Reposted Skeets (14 days)
1.
I’m fortunate to have a call with the Bluesky backend team for an hour a week, and I’m continually blown away at how good they are at engineering their systems, how thoughtful they are about protocol design, and how smoothly they’ve been handling a huge influx of new users. Seriously impressive
135
2.
In June Elon posted this graph of the rate of likes on X. It doesn't have a unit on the y axis, but it's plausible to assume that it's events/sec. If that is true, X in June was handling about 20k likes/sec. For comparison, Bluesky is now handling about 700 likes/sec during the busy part of the day.
76
3.
I gave a talk today in which I walked through key points from our Bluesky architecture paper, and got some good questions www.cl.cam.ac.uk/research/sec...
22
4.
Huge props to @b0rk.jvns.ca for writing a blog post about the mess that is JavaScript packaging that not only provides great hands-on advice, but also manages to strike a positive tone about the whole thing! jvns.ca/blog/2024/11...
18
5.
As Bluesky is now so lively, it seems likely that the network effect will start working in its favour. It's increasingly plausible that Bluesky will become as big as X. Source for X data: x.com/elonmusk/sta... Source for Bluesky data: bskycharts.edavis.dev/edavis.dev/b... (thanks @edavis.dev)
12