Rhys

I like helping teams win. Ravenously curious about people & the world. AI on me: Prev: | @roote_ | @mitdci | @EthereumDenver. AI:

[Rhys @RhysLindmark]

I'm officially ending Roote!

Proud of the fellows for their relentless energy & curiosity.

Proud of myself for creating the How Everything Evolved YouTube series.

Grateful to have some time to focus on my health.

Full post below. ❤️

[Alex Imas @alexolegimas]

This applies beyond founders. From my experience, AI is a superpower in the sense that it enhances, sometimes by a qualitative shift, skills and expertise people already have. The confused, just produce more confused stuff.

[Rhys @RhysLindmark]

Roughly 2x'ed the number of "questions to machines per day"

10B google searches
+ now 10B chatbot messages

[Rhys @RhysLindmark]

LLMs Jevon us so hard on curiosity & asking questions.

[Rhys @RhysLindmark]

And @koomen here: https://t.co/jGoF07i0M6

[Y Combinator @ycombinator]

Over the past year, we've been building our own internal agent infrastructure at YC: over 350 tools, self-improving skill loops, and a shared organizational brain that gets smarter overnight.

In this episode of the @LightconePod, we sat down with YC General Partner Pete @koomen to talk about how he led the effort from the ground up.

We cover how giving agents unrestricted access to one database was the key unlock, the self-improving skill loops that get smarter overnight, and why he thinks we've arrived at the personal computer moment for AI.

00:39 — YC's AI Stack
02:15 — The Finance Team Problem That Started It All
05:07 — SQL Access Changes Everything
07:20 — One Database to Rule Them All
09:14 — Jevons Paradox
10:07 — Denormalizing for Agents
12:15 — The Single-Player Era of Agents
14:16 — 350 Tools and a Shared Registry
16:24 — Skillify, DRY, and MECE Resolvers
18:23 — The Self-Improving Dream Cycle
20:26 — The Two-Sentence Pitch Skill
23:06 — How Super Intelligence Compounds
25:10 — Recording Everything as a Building Layer
27:10 — The Shared Organizational Brain
29:18 — Trust-Default Culture as a Requirement
30:44 — Raising the Floor for New Employees
32:35 — Horseless Carriages
34:24 — Why Chat Is the Best Interface for Agents
38:50 — Just-in-Time Software
40:49 — Centralizing vs. Decentralizing AI
43:32 — The Personal AI Revolution

[Avi Roy @agingroy]

For 63 years, medicine couldn’t lower lipoprotein(a). Now everyone is trying at once.

Three Phase 3 trials. Over 32,000 patients. 35+ countries. Drugs hitting 80 to 94% Lp(a) reduction. The first results from 8,323 patients land this summer.

But that’s the injectable chapter. Behind it:

-> @EliLillyandCo is testing the first oral Lp(a) pill. No needle. Daily dose. 86% reduction in Phase 2.

-> And behind that: gene editing. One infusion. Potentially permanent.

-> @CRISPRTX cut Lp(a) by 73% in humans with a single dose (CTX320, Phase 1).

-> @editasmed just showed ~90% reduction in primates by editing LDLR regulatory regions instead of the Lp(a) gene itself.

-> @EliLillyandCo is developing its own one-time gene edit through Verve.

1 in 5 people carry elevated Lp(a). It’s over 90% genetic. Diet and exercise don’t touch it. 0.1% of Americans have ever been tested (Cleveland Clinic, 71 million records).

One blood draw. $25. Once in your life.

[Anastasia Gamick @AGamick]

New FRO dropping!

[Daniel Tenreiro @TenreiroDaniel]

@Pontifex Holy Father the post will perform better if you append the url in a threaded reply as opposed to linking it in the tweet

[Noam Brown @polynoamial]

After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

[Alexander Berger @albrgr]

I’m really excited about the Strep A Vaccine Fund we’re launching today. IMO the basic case here is a great recipe for impact:

→ A huge problem: ~1% of total annual deaths worldwide (>600k)
→ Super neglected: ~$14M/yr of R&D globally before this, ~50x less than malaria which has similar mortality
→ Newly tractable: new human challenge models and earlier diagnostics should speed the path to an approved vaccine

Grateful to our partners Adam and Abigail Winkel, Good Ventures, Lucy Southworth, @ThePatchworkCLT, and a few anon donors for getting us to >$140M at launch. We’re continuing to actively fundraise and think we could effectively spend >$200M over the next few years. Our goal is to double the number of Strep A vaccine candidates in clinical trials and have at least one ready for Phase 3 trials by the end of 2030.

And I’m thrilled to be betting on Katharine’s vision here! As a grad student, she co-invented the R21 malaria vaccine that’s now reaching millions of kids. I’m hoping to see hundreds of millions of future Strep A vaccine doses with her fingerprints on them.

[David Sinclair @davidasinclair]

One shot and you’re protected from heart disease. Imagine that for cancer, dementia and aging

[Séb Krier @sebkrier]

Fukuyama was so prescient. In a society with strong rights and material comfort, but light on demanding shared purposes and some degree of sacrifice, thymotic energies go searching. Some quiet into bourgeois hedonism; other will seek “metaphorical wars” and eventually real ones.

[roon @tszzl]

effective altruism ended up being one of the most powerful political movements of the 21st century

[Seth Howes @SethSHowes]

I just sequenced a human genome to 30× coverage entirely at home.

As far as I know, this is the first time this has been done.

I didn’t step foot in a lab once. Every step - from saliva collection, to running the sequencer - took place in a single room with a dining table + kitchenette.

Six weeks ago, I had never done wet lab biology before.

I used an Oxford Nanopore P2 Solo - the only commercially available sequencing device portable enough to do 30x human genome sequencing at home.

Biggest takeaway - I could build something that combined software, hardware, and molecular biology far faster than I thought was possible.

I can name >100 specific instances where AI helped me solve a technical problem that would previously have blocked me because I lacked access to a domain expert.

For example: how do I save my sequencing run when my DNA extraction yield is 4x lower than I need it to be, and I have this limited set of reagents to hand?

To make this work, I had to navigate multiple disciplines:

- writing software to monitor sequencing runs and orchestrate remote GPU infra for basecalling
- learning + executing 5 hour long molecular biology protocols
- building a hardware device to quantify DNA concentration

Apologies for the hyperbole, but I feel super lucky to be living in 2026.

A few weeks ago I decided to sequence a human genome to 30x at home.

Then I actually did it. And I did it really quickly.

[Paras Chopra @paraschopra]

Ok, so I learned that these are called phonesthemes :)

[Mom @mom_agency_]

Claude's first day at Dunder Mifflin

[Rhys @RhysLindmark]

@lemonautzest !!!!!

congrats lemon man ;)

[Ben Springwater @benspringwater]

Been teaching 3yo to read (inspired by @erikphoel's great posts on the topic). He's into superheroes so I asked Claude to create a Batman story series that uses spaced repetition to practice sight words. His engagement is night and day. You can just dad school.

[Rhys @RhysLindmark]

@sophievision ❤️❤️❤️

[Rhys @RhysLindmark]

I'm officially ending Roote!

Proud of the fellows for their relentless energy & curiosity.

Proud of myself for creating the How Everything Evolved YouTube series.

Grateful to have some time to focus on my health.

Full post below. ❤️