You can usually tell when a company has grown faster than its habits.
The calendar gets crowded. Decisions start taking an extra meeting. New people learn how things work by asking whoever happens to sit nearby. Old processes stay around mostly because nobody has had time to question them.
None of this is unusual. Growth creates mess.
The useful work is noticing which parts of that mess are temporary, and which ones are quietly becoming the way the company operates.
That distinction matters more than adding another process.
#Workplace #Startups
The best teams usually have something in common:
People know what matters.
People know what they own.
People know how their work connects.
A lot of management problems start when those three things become unclear.
Congrats to @ArintraHealth (W22) on their $25M Series B!
They build AI that translates medical visits into the billing codes hospitals need to get paid.
Every chart has to be coded before a claim goes out, and doing it by hand is slow and error-prone. Arintra codes charts autonomously across inpatient, outpatient, ambulatory, and emergency care.
They work with large health systems representing more than $50 billion in combined patient revenue and process over $5 billion in claims a year. Customers report a 5.1% lift in compliant revenue capture, 32% lower costs, and 43% fewer coding-related denials.
https://t.co/cuBEpl0L9k
When I'm trying to help founders find new startup ideas, I usually start by trying to figure out what's unusual about them. What do they know or care about that few other people do? There's usually something, and it often leads to an idea.
One underrated part of a good workplace is how easy it is to ask a basic question.
If people feel like every question needs to sound smart, small problems stay hidden for much longer than they should.
I’d rather have someone ask early, get the context, and keep moving.
That usually saves everyone time.
Hello again, world!
Hacker News has been pretty quiet on X. Time to fix that.
Starting today, we'll be sharing interesting things people are building, discovering, and discussing on HN.
And let us know what's caught your eye lately. There's always room for another great link!
Few people have thought harder about how humans and coding agents should work together than @sgrove. Linzumi gives your team one chat to orchestrate all your company's coding agents.
Congrats to @metriport on their $26M Series A 💥
I was lucky to work with @dimagoncharov_ and @ColinElsinga from their pivot in S22 to their crazy success today. From a "small" data integration play, they are becoming the single source fo truth for customers like Amazon One Medical, Strive Health, Color and Canvas Medical.
Patients are already getting better treatments because of their work. Can't wait to see how they'll transform healthcare 🚀
Great founders see the world as it should be and pull us forward into the future. Aerogen is building toward chip fabs that no longer need expensive cleanrooms 🚀
The goal of Y Combinator has never been scarcity and that's implicit in the name. We think there should be more startups in the world, and YC exists to help create them.
There are far more people who can, should, and will be in the arena. So yeah, we rented out an arena.
Retardmaxxing has made me healthier tbf. I stopped sleep tracking, started waking up early and exercising first thing. Go to bed early when tired. Works better than optimizing my HRV etc.
Congrats to @billythalheimer, @mikeklinker1, and @regentcraft (W21) on their $240M Series B!
They build seagliders, electric craft that skim just above the water and combine the speed of an aircraft with the convenience of a boat. Their Viceroy Seaglider prototype is designed to carry 12 passengers at up to 180 mph, and its first human flight is imminent.
Regent’s commercial order book spans six continents, and production is starting at their newly completed 255,000-square-foot factory in Rhode Island.
Outset (YC W23) is building an AI customer research platform used by companies like Google, Microsoft, and Nestlé. Its AI interviewers have now conducted millions of conversations, giving companies the scale and speed of a survey with the depth of a one-on-one interview.
In this founder fireside, @OutsetAI co-founder and CEO @AaronLCannon sits down with YC's @harjtaggar to talk about building a product before the market was ready for it, how they helped create the category of AI-moderated research, and what comes next.
Aaron shares how they're expanding beyond interviews with Outset's new Simulations Lab and Digital Twins, which let companies simulate their customers and get feedback on everything from messaging and pricing to new products.
00:24 — What Outset Does
01:18 — Building a Category Before the Market Was Ready
06:31 — Landing the First Enterprise Customer
08:14 — How Better AI Models Changed the Product
12:57 — When the Market Finally Caught Up
14:45 — From AI Interviews to Customer Simulations
19:40 — Aaron’s Path to Becoming a Founder
"The way to get the very best startup ideas is not to look for startup ideas. If you’re consciously looking for them, you’ll be too conservative. You’ll lop off the outliers."
Instead, work on projects with your friends. Build things you think would be cool.
Paul Graham on How to Earn a Billion Dollars: https://t.co/Xa3fTRxPII