Sid Sijbrandij ✓

@sytses · joined 06 Mar 2009

Co-founder & Executive Chair of GitLab. Co-founder of Kilo Code. I love economic mobility, remote work, new cities, big art, incentive design, and curing cancer

30 357Followers

764Following

7 235Posts total

263.4KViews on collected posts

Latest posts

Sid Sijbrandij ✓@sytses4 Sep

Great essay by Rux. The current US phase I system is too paternalistic. 5.6K views · 55 likes · 4 reposts · 1 replies Open on X →

Sid Sijbrandij ✓@sytses27 Aug

I spoke at the Khosla Ventures CEO Summit earlier this year on going founder mode on my cancer. Founders already have the instinct for operating without a playbook and having a willingness to assemble your own team when the existing one runs out of answers. I use that instinct 10.6K views · 111 likes · 7 reposts · 5 replies Open on X →

Sid Sijbrandij ✓@sytses20 Aug

@sytses I’m exploring Krakow, Poland right now with my mom @ElaRybicki who is 5 years post pancreatic cancer surgery and did her second round of chemo this last winter. We are working on a “maintenance protocol” for her so she feels great most of the year (spring, summer) and loo 2.6K views · 15 likes · 2 reposts · 0 replies Open on X →

Sid Sijbrandij ✓@sytses20 Aug

@sytses Currently facing an incurable, but treatable (for a while) terminal cancer diagnosis. Love that you went founder mode and pulled out all of the stops and were an advocate for yourself to the fullest. I still have some standard-of-care treatments left in the pipeline for 3.5K views · 34 likes · 1 reposts · 5 replies Open on X →

Sid Sijbrandij ✓@sytses20 Aug

@sytses Hoping to do something like this for my wife. She has stage IV colon cancer. She is doing well - but all local oncologists say is try to keep it under control as long as possible - that curing is unrealistic. That's not good enough for us. 817 views · 6 likes · 0 reposts · 0 replies Open on X →

Sid Sijbrandij ✓@sytses20 Aug

My cancer case is n=1. I'm not holding it up as a model, because most of what I did is not specifically replicable or scaleable. But it is a proof of concept that fully personalized medicine, built around one patient's own biology, is viable in ways it simply wasn't a few years 223.4K views · 1K likes · 149 reposts · 49 replies Open on X →

Sid Sijbrandij ✓@sytses31 Jul

So if AI have an in person meeting does it mean showing their model to each other? 4K views · 9 likes · 0 reposts · 2 replies Open on X →

Sid Sijbrandij ✓@sytses26 Jun

BetterDB just shipped an open, Valkey-native context layer for AI agents, agent memory, caching, and retrieval on a Valkey you own. No lock-in. 6.3K views · 8 likes · 1 reposts · 4 replies Open on X →

Sid Sijbrandij ✓@sytses26 Jun

shipped today: betterdb's open context layer for ai agents. three packages, one Valkey you run. - agent memory (short-term + semantic long-term) - semantic caching, multi-tier - typed retrieval typescript + python. self-tuning thresholds, otel/prometheus at every layer. no 6.5K views · 3 likes · 1 reposts · 0 replies Open on X →

Against accounts of the same size

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

Median views5 591this account975median for 10K–100K

Reach, %18.42%this account3.61%median for 10K–100K

Engagement, %0.64%this account1.94%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	5 591	975	5.73×
Reach (views ÷ followers)	18.42%	3.61%	5.10×
Engagement rate	0.64%	1.94%	0.33×

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

6.5K26 Jun

6.3K

4K31 Jul

223.4K20 Aug

817

3.5K

2.6K

10.6K27 Aug

5.6K4 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.11%26 Jun

0.21%

0.27%31 Jul

0.56%20 Aug

0.73%

1.13%

0.64%

1.18%27 Aug

1.07%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.94%.

What the audience does

Likes54.8%1 279 in total

Reposts7.1%165 in total

Replies2.8%66 in total

Quotes1.0%23 in total

Bookmarks34.3%799 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

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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