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Sid Sijbrandij
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@sytses

Sid Sijbrandij

@sytses
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
sytse.com
Joined March 2009
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  • @sytses
    Sid Sijbrandij
    @sytses
    Aug 27
    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
    5
  • @sytses
    Sid Sijbrandij
    @sytses
    Aug 20
    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
    Image
    From “default dead” to living the future of cancer care As founding CEO of GitLab, I went “founder...
    From cancerletter.com
    49
  • @sytses
    Sid Sijbrandij
    @sytses
    Jul 31
    So if AI have an in person meeting does it mean showing their model to each other?
    2
  • @sytses
    Sid Sijbrandij
    @sytses
    Jun 26
    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.
    @betterdbhq
    BetterDB
    @betterdbhq
    Jun 26
    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
    4
  • @sytses
    Sid Sijbrandij
    @sytses
    Jun 22
    I’ve talked to researchers who were delayed by many months getting access to patient tissue at their own hospital with patients who already consented.
    @RuxandraTeslo
    Ruxandra Teslo 🧬
    @RuxandraTeslo
    Jun 18
    In a world in which federal agencies are doing their best to keep data from patients "protected" under 200 layers of regulations and IRB restrictions, posting such data publicly is in itself a service to science. When I was doing research, regulations on human tissue could delay
    4
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