Serendipity Engineer @CommaCapital | Carpe Diem 🚀📈
Joined March 2010
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lol just looking for someone to build me an ai serendipity engineer 🤓
Has the engineer-ification of roles gone too far or is this the most accurate title for a VC? @DOitChoco
Tried several times to get AI to write our lp updates then decided it was too much work editing it and now back to writing it from scratch 😭
Atleast I tried to use AI. It’s the effort that counts right?
Hard not to root for @khookhar and the @concurrencehq team after reading this.
Love seeing founders working on problems that are so personal to them and can save the lives of others.
When I was 13, I lost my mom to breast cancer. I still wonder if it could have been prevented.
When she found the lump, she did everything right.
She went to her primary care doctor, and he told her it was nothing. My mom wasn’t convinced, so she went to a women’s health specialist for a second opinion and was told the same thing. A year passed before she saw a third doctor who was shocked that nothing had been done and ordered tests the same day.
By the time she was diagnosed, the cancer had already spread.
For the next three years, she went through chemo, surgery, and radiation. Specialist after specialist, asking the same questions again and again.
After she passed away, there were two thoughts I couldn’t out of my head:
(1) Somewhere, a doctor must have seen a case like my mom’s and caught it early.
(2) Nothing that doctor learned had any way to reach her.
Healthcare runs in my family. All four of my sisters are nurses or pharmacists, and my fiancée spent the pandemic working in a multi-organ transplant recovery ward.
I’ve seen how hard clinicians work, and how much of that work requires understanding the patient and recognizing patterns from past cases.
That’s why a doctor can practice for 30 years and get better every year, while a hospital can treat millions of patients without getting much better at treating the next one.
What’s missing in healthcare is the infrastructure for it to learn from its own experience. If we don’t examine the cause and outcome of every interaction, how do we get better at knowing which signs to watch for?
I spent years at Google and Upwork building AI from human expertise, then eventually left big tech to work on the one problem I couldn’t stop thinking about.
I started a company called Concurrence (@concurrencehq) and raised $24M to build data and AI systems that enable healthcare orgs to learn from every patient they treat. Nothing learned is lost, and it reaches the next patient who needs it.
We’ve already supported care for over 10 million patients worldwide.
My mom deserved a doctor who had seen her case a thousand times. Every patient does.
Got asked by three different people this week if I have adhd
One was a close friend, one was a stranger at a networking event and one was a first date
I told them it’s the effect of being in VC this year and scatterbrain-maxxing 😭
Cannot understate this feeling right now 😭
what better way to spend ur weekend
Okay i might regret this but offer is still on - 5,000 free credits to try the new @ValyuOfficial DeepResearch right through the weekend 👇
When will @instinct have this too??
lol this feels too close to home 🙈😂
Does the world really need another smart young investor with a generalist tech fund?
Having a strong network isn’t enough anymore. Everyone has access to one.
You need a genuinely unique perspective and an edge you truly believe in.
Otherwise, why venture into venture capital at all?
This business is hard and soul-crushing. Unless you’re passionate about it and truly believe you can be great, don’t enter venture capital.
What’s your unique edge?
#NewYork
A friend reminded me today that we can get into a mindset of chasing the next best thing too much when the best thing might already be in front of you.
Scary times in startups
so i have been in the sf tech scene for a couple of months now, and i learned the games that ppl play
1. land a $3M lab order in 2 weeks, *26 = ~$80m as the annual revenue
2. schedule all orders to be signed in the same month, and multiply the best month by 12
3. sign $5M LOIs with friend's companies and batchmates. they sign one back (also happens at scale with large labs/compute)
4. buy github stars at 6 cents each
the last company that swapped invoices with a partner reported $220M - and it's bankrupt now
sad that it's a whole gresham's law game right now and if you dont play you just get downvoted
David Ongchoco retweeted
Peter Thiel has a blunt test for whether a startup team is thinking clearly.
Watch how they talk about their own outcomes.
His observation: when founders start framing results as luck — "maybe it works, maybe it doesn't, so let's just invest a little and see" — that's not prudent risk management. That's a diagnostic failure.
The mechanism is specific. Luck-framing doesn't emerge from humility. It emerges from not having done the analytical work to understand *why* your business will win. If you've truly mapped the competitive dynamics, the customer psychology, the timing — you don't describe the outcome as a coin flip. You describe what needs to be true and why.
The portfolio mindset ("let's see what happens") is what you default to when you don't have conviction built on evidence.
Thiel's sharpest version of this: the founders of Google, Amazon, and Apple in their early days weren't operating on hope. They had specific theories about why they would win that others couldn't see yet. Bezos mapped out why e-commerce would scale through selection and logistics before the market existed. That's not luck-denial — that's rigorous foresight presented as conviction.
When a founding team tells you "we'll figure it out," the question isn't whether they're optimistic. It's whether they can articulate the actual mechanism of their advantage.
If they can't, the luck framing isn't a personality trait. It's a capability gap.
Blaming luck is what you do when you've stopped thinking.
