Tim Kim

Sr. Director of Product @ | 2x Exits | Always learning

[Mario Dian @mariodian]

@om_patel5 “a lot of people are embarrassed to be seen using ai in public”

Huh? Who are these retards?

[Tim Kim @timkimdotcom]

@Mike_Scully_ AI

[Tim Kim @timkimdotcom]

@function -> @claudeai

[Patrick Collison @patrickc]

I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools.

With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments.

Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know.

I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars.

(One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.)

There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!

[Claude @claudeai]

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.

It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.

Now in public beta on the Claude Platform.

[Google AI Studio @GoogleAIStudio]

https://t.co/PfLrKDTmww

[Peter Steinberger 🦞 @steipete]

@pastelruh @katexbt @openclaw Mindset issue. Building this IS life. It's incredibly fun and exciting!

[GREG ISENBERG @gregisenberg]

WELCOME TO THE SKILL ERA OF THE INTERNET

for the last 15 years, if you wanted to build a serious software company, you built a product and exposed an api.

that was the move.

you created functionality… payments, messaging, email, search, analytics… and then you let developers plug into it.

the companies that won owned the pipes.
stripe owned payments.
twilio owned messaging.
sendgrid owned email.

the api was the distribution layer.

once you were integrated, you were embedded.

that model made sense in a world where execution was scarce.

llms compress execution into a prompt.

so the center of gravity shifts.

in this cycle, you build expertise and package it as a skill.

an api is a doorway into a function.

here’s how to send an email.
here’s how to process a payment.
here’s how to fetch this data.

it’s precise. mechanical. bounded.

a skill is a doorway into judgment.

here’s how to audit a landing page like a serious growth operator.
here’s how to structure a legal intake so you catch the real risk.
here’s how to clean and enrich messy directory data so it actually turns into revenue.

you’re encoding a way of thinking.

and that changes how companies are built and how they scale.

in the api era, distribution meant convincing developers to integrate you.
you needed docs. sdk’s. developer evangelism.
you fought for a place inside someone else’s codebase.

in the skill era, distribution means becoming part of someone’s agent workflow.

a founder opens claude code.
they type /seo-audit.

your skill runs.
it frames the output.
it structures the analysis.
it guides the decisions.

your expertise lives inside the execution layer itself.

you aren’t pulling users into your interface.
you’re embedding your thinking into theirs.

that changes company design.

the old playbook looked like this:

build saas
design ui
onboard users
drive retention
expand seats

the new playbook looks more like this:

encode a high-leverage playbook
package it as a skill
let agents call it thousands of times per day

the interface shrinks.
the leverage expands.

a strong skill doesn’t serve one user at a time.
it serves fleets of agents.

one installation can mean your methodology is invoked across hundreds of companies automatically.

the scaling curve looks less like seats and more like invocations.

what’s happening underneath all of this is simple:

software used to be the executor.
now software is the orchestrator.
next, expertise becomes infrastructure.

in the api era, the winners owned the pipes.

in the skill era, the winners own the patterns.

patterns for closing deals.
patterns for pricing.
patterns for positioning.
patterns for enrichment.
patterns for research.

many new companies will look surprisingly small on the surface.

a tight repo.
a handful of powerful skill files.
maybe 2–5 people maintaining and improving them.

but those skills will sit inside thousands of workflows, shaping decisions at scale.

and it’s creating a new class of companies built less around dashboards and more around encoded judgment.

THIS IS THE SKILL ERA OF THE INTERNET.

welcome.

[kache @yacineMTB]

yeah baby

[Tim Kim @timkimdotcom]

@NicoleBehnam As someone who works for him, I can say that I think I’ve felt a shift lately.

[Tim Kim @timkimdotcom]

How can anyone be upset about this?

[HHS @HHSGov]

Introducing: The New Pyramid

[Tim Kim @timkimdotcom]

@EXM7777 Thank me later.

[David Ulevitch 🇺🇸 @davidu]

Bullish on American Dynamism. Not just defense, energy, space, and public safety that people know us for, but for the entire “shift left” ecosystem of batteries, motors, chemicals, materials, mining, and more. Self reliance & nearshore capabilities aren’t just opportunities, they are imperatives!

[Hubert Thieblot @hthieblot]

Contrary to what everyone says, it’s more important than ever to be deeply technical…

[Elon Musk @elonmusk]

Correct.

My Tesla and SpaceX shares, which are almost all my “wealth”, only go up in value as a function of how much useful product those companies produce and service.

This means my “wealth” can only increase due to producing more products and services for the public. Moreover, anyone else who is a shareholder in Tesla and SpaceX, which incudes employees, participates in the upside of stock appreciation.

That is because I am a maker, not a taker like the Bernie Sanders type politicians of the world. They take and they’re on the take, because they cannot or will not make.

[Nikita Bier @nikitabier]

You are entering the final stages of undevelopment.

The brain drain to dynamic economies will soon leave no technical workers on your shores.

Tourism will soon be the largest contributor to your economic output.

Your entire workforce will soon be educated in manufactured disciplines like social business studies—and their only
skill will be regulatory lawfare.

Your descendants will look back and wonder how you squandered the opportunity that Europe had.

[Tim Kim @timkimdotcom]

Pay that man!

[The Kobeissi Letter @KobeissiLetter]

BREAKING: In a massive ruling, the Supreme Court of Delaware rules that Elon Musk's $56 billion 2018 pay package must be reinstated.

[Arthur MacWaters @ArthurMacwaters]

Elon.
deserves.
every.
cent.

[NASA Administrator Jared Isaacman @NASAAdmin]

Artemis II is America’s return to the Moon, and the start of something much bigger.

Thank you @POTUS - you have laid out the vision and you have given us the resources. @NASA will deliver on our mission.

[The Icahnist @TheIcahnist]

New Private Equity Opportunity