Today, I am excited to finally share what we’ve been working on at @avonhealthhq (https://t.co/NZTyhGV1CG) — the AI-first, no-code/low-code EMR powering next-gen healthcare.
@a16z We’re already seeing it: OpenAI and Anthropic ship new capabilities and startup categories disappear overnight. AI lets general-purpose platforms behave like vertical software.
So the experience feels bespoke, but the infrastructure centralizes.
@a16z I actually think AI leads to more consolidation, not less.
People don’t want to cook their own software — they want software that adapts to them without building or maintaining it.
@vigneshp_ great post! definitely agree that synthetic discovery ≠ customer discovery
i remember reading a bunch of articles about EHRs when i started avon (the type of info that ai would have surfaced). when i did customer interviews, turned out everything in the articles was wrong haha
@johncoogan Paramount's bid is for the entire Warner Bros. Discovery business vs. Netflix's is only for the Warner Bros. part.
Netflix bid $27.75/share + remaining share is valued at
$5/share
Paramount bid $30/share
So looks like Netflix's bid is higher anyway!
sf is NOT the only place to build great companies
join us in NYC for an amazing panel of founders who’ve raised millions to build their dreams
link below
Honored to be a National Guest Scholar at @Stanford’s Clinical Excellence Research Center (CERC) this fall!
I’ll be guest lecturing on how we can deliver more efficient, high-value care in the US.
Huge thanks to Steph Peters, PsyD and @StanfordCERC for the opportunity!
@singareddynm It was an amazing school that prioritized curiosity and creativity over rote memorization — I credit so much of my personality and interests today to that experience.
Every school should be like that IMO and even more important now in the ChatGPT world.
@singareddynm In homeroom, we started a podcasting company where we researched, wrote, and edited weekly episodes on sports, current events, and more. We put on musicals every year. I was obsessed with space back then, so one of my teachers even brought in her astronaut friend to talk to me.
Not enough engineers are involved in how AI is built, implemented, and regulated in healthcare.
Too many decisions are made by people who treat AI as magic — or worse, as marketing.
That needs to change.
Not enough engineers are involved in how AI is built, implemented, and regulated in healthcare.
Too many decisions are made by people who treat AI as magic — or worse, as marketing.
That needs to change.
Not enough engineers are involved in how AI is built, implemented, and regulated in healthcare.
Too many decisions are made by people who treat AI as magic — or worse, as marketing.
That needs to change.
It’s a non-engineering guide written by an engineer — someone who’s spent 15+ years building and shipping AI in healthcare.
If you’re building, evaluating, or implementing AI in care settings, this is for you.