We used Statsig at Function. It started out as 2 of us using it on one product and within 12 months, large amounts of our product copy and rollouts were driven off of it.

Statsig has client side evals so you can write rules and rollouts based on internal concepts without Statsig’s servers processing a piece of user data. Hoping Cloudflare can build a sophisticated product here so I don’t have use another product in the future!

Maybe in Pfizer’s portfolio this is true. However, I just watched the Amazon Pharmacy pricing for GLP-1s drop substantially immediately following this. I think you may be being too black and white on claiming this categorically does not work.

Businesses will adapt pricing models, obviously this hurts Pfizer in some way, but Lilly and Novo found the new system was worth negotiating into. Like most things - when people say “always” or “never” - it’s reducing the spectrum of possibilities

It’s about external, global pricing dynamics. The site clearly isn’t going to be able to give clean payor/pbm/gov subsidized pricing tables - that is almost an impossible exercise in our system.

What the agreement does accomplish is saying Americans will not pay $1150/mo while EU pays $400/mo while Argentina pays $120/mo.

It guarantees drugs will be greater than or equal to US pricing abroad which effectively forces pharma to find deeper profits outside of the US, or lower prices for all countries to acquire demand.

That is extremely effective. Now it’s up to a really complex group of people to figure out what that means inside our weird system of pharma/pbm/rebates/insurance/medicare.

But that’s not what trumprx is aiming to solve for right?

Novo and Lilly spent billions making Semaglutide, Tirzepatide, and future formulations/modalities.

They are going to monetize this heavily while they have IP coverage. There is no world they will let HIMS or any compounding pharmacy of scale undercut them.

On the insurance front - expect your insurance to decline this forever unless you are at serious risk of diabetes. It would make you cost them $3-6k/yr more. Insurance premiums would rise for everyone if insurance was subsidizing this - no free lunch.

Fortunately, the prices are coming down. Amazon pharmacy has Wegovy in an auto-injector starting at $199 without insurance. And that’s delivered to your door in under 24 hrs in most major cities.

I highly recommend checking out the terms of trumprx.gov - not endorsing the entire government here, but it is actually working and quite cleverly written to ensure Americans are getting the lowest cost drugs in the world now. Historically, we subsidized R&D globally by allowing pharma to make most profits on Americans then have cheaper prices abroad. That is changing and hopefully that’s a net positive.

1. Getting things to space is incredibly expensive

2. Ingress/egress are almost always a major bottleneck - how is bandwidth cheaper in space?

3. Chips must be “Rad-hard” - that is do more error correcting from ionizing radiation - there were entire teams at NASA dedicated to special hardware for this.

4. Gravity and atmospheric pressure actually do wonders for easy cooling. Heat is not dissipated in space like we are all used to and you must burn additional energy trying to move the heat generated away from source.

5. Energy production will be cheaper from earth due to mass manufacturing of necessary components in energy systems - space energy systems need novel technology where economies of scale are lost.

Would love for someone to make the case for why it actually makes total sense, because it’s really hard to see for me!

best to treat it like an expense from the perspective of shareholders

The entire business model is predicated on injecting themselves as the last click for attribution even when they weren’t remotely responsible for the conversion. Cool business, but can’t keep going on forever without someone catching on.

They took all user generated playlists and projected the songs into vectors where songs that appear together on playlists are closer and songs that appear less often are farther.

It’s likely changed a lot since then, but it seemed like a pretty straightforward clustering system at the time.

I was working on my first "startup" (if you want to call it that) and wasn't getting traction. The owner of a software consulting firm found me on Hacker News and brought me in as his first employee on a massive contract. We grew the team substantially, made great money and that lead to doing a real startup after. And then another. All from a post I made on a hiring thread.

https://en.m.wikipedia.org/wiki/Tardigrade

This is such a cool application of the tech. Everything is accelerating in biotech.

We were using electro-wetting as a low power heat pipe on the Space Station, since heat doesn’t dissipate the same way there as it does on Earth. The tech I built with some engineers used these tiny DC to DC high voltage transformers that would step up the voltage from the 18V power supply to something like 450V on the circuit board to enable the electro-wetting heat pipes to move water droplets.

Would love to chat sometime if you are ever interested.

For reference, our very scrappy POC for the space station: https://ntrs.nasa.gov/api/citations/20190006008/downloads/20...