Bryan Johnson launches 'Immortals' — a $1M/year all-in health protocol built on his Blueprint data

streaming TV. Pick channels, target audiences, and measure sales just like on Meta. And you might be doing some advertising soon because there's a huge launch. How are you doing?

Hey, I brought you guys a gift.

Thank you. What'd you bring?

Are we doing shots?

We're doing shots.

Amazing. Here we go.

Amazing. Yeah.

Okay.

Have you done a shot of olive oil?

I haven't. Take out our

I've never done I've never done a shot of olive oil. What are the benefits? Break it down. Why would I do this? I like olive oil on a steak.

Yeah. I mean, have you Is olive oil a part of your life?

Um, only in the cooking context, I Yeah,

but I should just be drinking it.

Shots yet?

No.

What? What? Yeah. What are the benefits? And what is this? Did you grow the olives? Is it cold press?

Just this much. Should we not? Should we not do a little bit more?

No. No. No. No. No. No. This is live TV. 15 ml. This is live TV.

Yeah. This is This is the precise deal. 15 ml. 15 ml.

One tablespoon.

Okay. And what's this going to do for

It's the I think it's the superfood of superfoods.

Okay.

It does. I mean, just like you look down the list of things it does. It's just good for almost everything.

Okay.

So,

is it high calorie? How many calories?

120 130 calories in this. Okay. Calories don't scare you, though.

No, I mean it's 15% of my daily caloric intake. I I consume more olive oil than any food.

Yeah. How many How many like shots is that roughly?

So, 45 So, three tablespoons a day, 45 ml, three shots a day.

Okay. Okay. Wow.

So, one with every meal.

One with every meal. Okay. Cheers.

Cheers to Brian Johnson blueprint. Cheers. down the hatch. Delicious.

That is good.

Smooth.

Very smooth. No problem. I could do that.

No bite.

And and and and so and so I just drank 15 milliliters of

of uh of olive oil and I'm going to live forever now, right?

Basically.

So now I can go back to diet and nicotine. Right.

Yeah. Do you feel the sting now?

A little bit.

I do. I do.

Like a little cough bubbling up.

Yeah.

Yeah. Perfect for broadcasting. Yeah. Yeah. That's it's a good sign of a good olive oil. So we we source this in both hemispheres. It's always fresh. Okay.

So it comes off.

Yeah. Yeah.

Yeah. So

where Yeah. Where where more specifically

this one uh this is from Chile.

Chile.

And and the brand is called Snake Oil. Very funny. Yeah.

Um how does this fit into the overall blueprint? Uh what do you call empire at this point? I mean we the whole thing on blueprint is we are trying to basically say what does the evidence say for what you can do to be healthy and we just went after the best foods the best therapies and what I found is basically most things don't work most things are [ __ ]

and so we've tried to narrow in to focus on the most narrow number of set of things to do and olive oil just stacks is like one of the very best things you can do in life

is part of why this isn't pushed more uh aggressively by the sort of health industry is that it's kind of hard to deliver. A lot of people don't want to just be consuming oil and that's kind of like the bit is other some people are selling pushing snake oil.

Yeah, that I mean

yes I mean people I think have a natural aversion to fat still. There was that there was a long period of time where fat was bad and you saw marketing 30% less fat, 40% less fat. So people think olive oil fat therefore bad. Yeah.

So there's like hangover.

Yeah. I had a buddy that had internalized that so much that he was on a almost entirely fat-ree diet. He got his labs done.

He had like low his test was in the low hundreds. All he did was add like an extra avocado a day. That was the only thing he changed.

His tests like went up like by a pretty meaningful multiple.

So, walk me through, you know, average American might spend, I don't know, $10,000 a year on food. What what does it look like to get into the blueprint ecosystem at that order of magnitude? Then what can people do at $100,000 a year? And then I want to hear about the milliondoll a year all-in plan.

Well, we announced that today. Okay. So, it's called Immortals.

Immortals.

A million dollars a year. And it's my exact protocol.

It's your exact

my doctors, my concierge team, all the testing infrastructure,

the blood work too,

everything. Every test, every therapy. And so it's I mean this has been really hard to build because it hasn't existed. So we've just had to scour the evidence, build out the infrastructure globally.

And this is basically when someone says

getting no feedback.

Let's turn that uh speaker off. Sorry. We're we're working on bringing the soundboard to life in the TVP and Ultradump. Sorry. Continue.

Yeah. So the I guess like if you look at a few three different frames like one is we measure probably around 250 to 300 things that kill me.

Mh. that will kill you or actively

that actively kill you.

Everything in the gas station.

Yeah. Yes. Basically, I mean everything in modern the modern world. Yes.

And so if you look at it from like don't die. Okay. So what things actually cause you to die? And then if you look at it from the positive things of what makes you live,

that list is probably like 250 things that kill you and 250 things that make you live well.

And if you take on that burden as an individual to say, I want to do all of these things that make me avoid the things that make me die and do the things that do make me live well. That's a like a herculean task.

So, this program basically takes all of those things, makes it easy. So, you just show up. It's like, what do I do? And the system tells you what to do.

Okay.

Yeah. What What is the What does the program look like more specifically like what how how is very it's very So, you're doing three people, right?

Yeah. Three thoughts.

Three to start. What do their weeks, months, year look like?

So, we'll do first it depends on who the person is. So, we're we have an interview process because the person needs to be willing to work.

Yeah.

You can't just like show up and like give me a pill. You have to put in probably around like

I was promised immortality with a single shot.

Yeah. And you tell me.

That's why it's called snake oil.

Yeah. I got you got the best.

So, we have an interview process. We'll make sure the person's willing to put in the work that they've got a pain tolerance. You know, they can like,

you know, like they have they have to be willing to do stuff. You know, sometimes therapies hurt. Sometimes it hurts to be hungry. sometimes like so there's some discomfort and then they uh we'll choose the three people

and then we'll do a comprehensive baseline. So for me over the past 5 years we we are collect counting yesterday uh we have a few billion data points on me over the past five years.

That's a lot.

And so then then if you say what of those few billion data points are usable probably a few hundred million. Yeah.

But still we have a few hundred million data points. And so what we've done is to date I guess like years ago we that existed in spreadsheets and files. We've now set up an AI system where we take this um we take all the context

and now we have this inference engine

to say like what relationships can you find in all this data. Yeah.

And so what we're building is an AI a Brian AI that basically watches after you 247. So you start you do a whole bunch of comprehensive baselines where you in the world. Yeah. And then we start doing targeted protocols like how do you isolate cardiovascular health and how do you look at you know so on and so forth. Then you're going to find issues as well where the person may have a surprise finding how do you address that they'll have some you know anomaly. So then we just get after it and we just say like how do you basically take the baseline measurements and make all of them better.

Yeah.

Do you want these people to be local? Can they be anywhere?

Anywhere. Cool.

Are they all over the world or US-based? Is there advances?

We're open open to everything. Okay. Interesting. Um, how how are you thinking about AI? When I think about a product like snake oil, I think uh not a lot of AI disruption risk, not should not be sold off in this SAS apocalypse. You're not going to vibe code an olive tree. The the land exists, the tree exists. You have to select it, press it. There's probably a lot of people involved that uh there might be some automated ERP system at some point, but uh how are you thinking about the impacts of AI on your business, your life? I know that that's a big piece of the don't die philosophy is that we are going to go through a change, but how are you processing the most up-to-date advances in AI?

Yeah, you're exactly right. Is like this olive oil we source from farmers all around the world

that go through extensive screening. uh we test every single every single molecule that we manufacture, we third party test. So they're all very manual processes and then on the other side we have AI where you take all the data, you do the inference engine, you try to find new insights that's never been found before,

but we're this really weird uh mixture of like leading edge AI

and like duct taped together

of all the manual things like we'll go into someone's house, you measure for mold and toxins and water toxins and air toxins and you look at materials in the house. So it's it's still very manual and automated. So it's kind of a cool world where we're we're insulated to some extent in terms of software. You just stand it up, you're very vulnerable to speed. Where this one you're dealing with physical world constraints, you have to bring together all these different disciplines.

Yeah. And there's also this interesting break in that uh if you want to measure the change in someone over a year and you want to do a year-long study like even if you have a million Einsteins in a data center like you have to wait a year to get those results. I'm sure there's more things that you can do digging up historical data, all the data that you have, but there is just this natural break on progress when you have to wait for results and then feed that back in.

100%.

Makes sense.

Uh you talked about testing. Uh what are you finding in uh organic products? If something's organic, do you just automatically assume that that uh it's not going to kill you?

I assume it's worse than not than non-organ. No, I'm serious. Junkyard dog theory. I'm vindicated.

It's true. Like honestly, or organic only looks at you know a certain subset of toxins. It's not all toxins and then it's a very limited screening protocol. So it's really a marketing tactic. When we test organic, it typically performs worse than non-organic on many variables. So no, I think it's worthless. Uh it really is as a marketing protocol. And I would say more broadly, I don't trust anyone like literally I don't trust marketing. I don't trust brands.

Trust no one.

I don't trust technicians. I don't trust practitioners. like when we go out there honestly it just that's why this protocol is we've built it in such a meticulous fashion we don't trust we don't trust ourselves just trust the data do our protocol see what it produces but I when I go out in the world I'm just like this is scary

where uh where do you get things like produce things that aren't nec you know you're not going to add apples to the blueprint website right if you want to eat an apple what do you do

it so there's no safe place sadly like

Brian Johnson no safe place to eat an apple. No apple is safe.

Like we, you know, people identify like you like plant-based proteins have high toxins like because they isolate that because you can test it. But if you eat a carrot,

it can have the same if not more toxins. Yeah.

And so it's just that these this fresh produce is not measured. So people freak out over what they can measure. But if you we've been testing fresh foods and packaged foods and like toxins are throughout.

And so it's just a very skewed perception on where toxins are at. But you know why I typically buy we'll farmer farmers market we'll do you know airw do whole foods when we test these fresh foods. So we do want to start growing our own. Uh but even then it's hard because you're in

LA it's a little rough

and even those systems themselves like someone will try to get an escape route and say like well I've got you know I have a cow in a in a p you know pasture fred irrigated whatever like they can escape the toxins within the environment. So it's just very very hard to create an isolated non-toxic. So, there's lots of lots of toxins at risk out in the real world. Talk about other risks in the real world. Have you ever been framemoged?

Sure. People have tried.

You know what? That is so good. We should put that on the list. That is that escaped our

for a million bucks. You got to protect me from frame. That's like the first thing that I want from a

honestly. Yeah. What a blind spot we had. We should have picked that one up.

Yes. How are you processing the looks maxing virality that's going on? It feels like very tangential in some ways. There's some there's some overlap. I I I've seen, you know, the looks maxers say, "Don't worry about the macros or the micronutrients or the toxins at all. All that matters is how much protein you're getting because they they have a very uh live fast, die young." But there's still some overlap and that they're trying to look good. We've talked about this before.

Yeah. In many ways, I feel like you've been you've been looks maxing. You wouldn't necessarily call it that. But you can just see every now and then a photo will go viral where it's like you every six months and people are like wait it's working. So in some ways it's kind of marketing. There's a lot of work kind of under the surface that's contributing to that.

But at the same time it's very clear like people want you to look better every month or they're going to say

like hey can I really trust this guy?

Yeah. I mean there's two things. One is I'm like you guys your disposition towards advertising. You know it's like yes and yeah. Like if someone's out there doing their thing, you know, like more power to them and like whatever their jam is, if they're doing looks macking, like you know, do your do your art and be beautiful. That's great.

And so yeah, I'm very much a proponent of like let humans be beautiful in their manifestation. Sure.

Um like we're basically we're saying that, you know, as we all realize like something's happening in the world right now. It's big with AI.

Yeah.

In some form or fashion, it's evolving the world. And our primary hypothesis is as this evolves, the major shift is humans are going to want life.

Mhm.

Like you know if AI takes our jobs or they take what we do and we want to find new identity, there's going to be a major shift towards don't die and it's going to become the probably the most dominant ideology in the world very quickly because we're going to be pointing ourselves towards vibrancy. That is that that is an interesting encapsulation because it does feel a little bit like the the two paths meme with the dark castle and the and the bright uh you know palace in the sense that a lot of the looks maxers are saying they're blackpilled. They don't believe that there will be a future. So health actually takes a back seat to looks because that's what helps you get a get ahead this year this month. And it's it's very short termism very short-term thinking. you've always framed it from day one around very long-term thinking. So even though I think people might say, "Oh, well like he's trying to look good, that guy's trying to look good." They're similar. There's actually a huge divergence in the philosophy. At least it feels like that. I don't know. Jordy, what do you think?

Uh I had another question.

Please take it down another direction.

So you have this you you're starting with the ultra premium product, the million dollars a year,

and I can see all the justification for that. I imagine you want to go more and more kind of like down market over time so that somebody if they have a million dollars or $100,000 or $10,000 or a,000 or 100 can can kind of benefit with the program. Um, it feels like there would be an insane amount of demand for something like right today, a $1,000 program, something that's effectively a PDF that somebody could pay for, download,

and because they paid for it, we talked about this yesterday because Tai Lopez was in the news because of his whole like Radio Shack debacle.

Uh, and I was saying I when I was probably 18 or 19, I paid for a PDF of a workout plan. And because I paid for it, I followed it really closely and I got a lot more value for my money.

Whereas I feel like for you, the second that you launch like a traditional info product, you will be attacked. Even though Even though I think that at a thousand dollars, you could put something together that would provide somebody potentially tens of thousands, hundreds of thousands, right? Just because in the health game, if you if you just buy a PDF and then that gets you to sleep an extra hour a night for the rest of your life, like the the economic value creation or or the the money that you're not spending on hospital bills or things like that um

uh would be tremendous. Like how how are you thinking about that? Because I again like I think that there would be value there

for me paying paying again for that $1,000 product that I could just kind of follow and learn something from.

Uh the value would be there. But how are you thinking about it?

Yeah, that that's exactly what we're doing. And so the the target audience we're after is those who want to say yes to health

and we say do this.

Yeah. So we're not if they if if you if you want to go out and find source your own peptides, inject yourself, you you know and like do your own protocol like do that. We are going to deliver autonomous health. And so like there's self-driving cars, they're self-riting software.

This is autonomous health.

So we're building AI that just says do this. And so do you remember early on when Facebook

uh did that study where they said 300 likes on the platform and they could predict you better than your partner could. This was like the first time social media showed the the power of prediction.

Okay.

And so there's an equivalent question for us is

well how much data do we need on your body like of of blood of wearables of whatever to predict you

better than you can

and how do we stitch this together? So I think the free version

is like some minimal viable amount of data.

Yeah.

That goes into our AI inference machine and we then say do this and we can get higher yield than anything they could ever do themselves. Mhm. Yeah.

And once that happens, once you take away Mo, you're like, I'm never going to end with a human driver ever again,

right? It's a very clear. So this will be the same thing where once you once you deal with the immortals, the product, you be like,

I'm in. Like definitely this is a better control system than anything I could produce.

How how are you thinking about wearables? Uh most of the people that come on the show will be winging an Apple Watch or maybe a Whoop or an Aura. It's very very common.

Uh at the same time, it's missing visual. It's not like pulling in information. It's not like uh the the health decisions that somebody makes every day is not can't always be picked up here. It'd be great to have be like, okay, what did this person eat? What time did they actually go to bed? All all these different things. What what do you think the future of health wearables is?

Yeah. So that's exactly again what we're building with this first three people and immortals. Like if you say so my life over the past 5 years has generated a few billion data points

few hundred million or useful

that has created a a a dimensional representation of a human that is higher fidelity than anything ever produced in in history.

And so we've taken that model we're going to replicate with others. And so we're going to try to basically cast this gigantic net of data capture.

We'll bring it all in and say where's the highest signal

uh inputs and then we'll scale those things. And so like you're saying like we may find that lighting uh at bedtime

Yeah.

is an incredibly important factor and like you know right now people don't really think about that or the lighting environment in the room and you can't do like specific photon counts. Yeah.

And so we're going to try to tease out like where are the little teeny tiny things that have this gigantic yield. But it's all about data collection. It's about the inference engine and it's about people who willing to say yes I'll follow the protocol because it's inherently better than what I would do myself or just guessing

and then we'll have everything. Do you ever think about a program where an actual live human just follows around the person in the program and is effectively there 24/7 kind of like effectively a nanny for the human because it's like hey like you say you're doing everything right but like right before bed you were you had a phone just blasting light in your face. Uh it it feels like that's kind of what you can get to with wearables over time and you can probably get there to get today. But I think a lot of people even if they do a program will still be kind of sneaking little things in throughout the day that are that are working against them

and they even forget you know they're like I do everything you say like I you know I finished my final meal of the day four hours before bed and blah blah blah and I can't sleep.

You are hiding you are hiding bright lights before bedtime.

Yeah. Exactly. I can't sleep. Like what do you do before bed? Well I'm in my bed like you know scrolling Tik Tok and

Okay. Well, that that could be the source.

Uh, what's the current thinking on peptides? There's a variety of them. Uh, simaglutide all the way down to rea. Uh, what's the most upto-date that like evidence or benefits cost that you've seen?

I mean, generally peptides are fantastic. They are drugs, drug equivalent, drug like effect sizes and some peptides have done the clinical work like Deptide and

but then there's a whole bunch of the class of peptides that we have no human data on

really. And yes, so the the things

that people are taking a lot of, right?

A lot of Yeah.

So we're going to get some human data.

And is that is that currently Retta? Is that the one that's like not

I don't know about I don't know about Retta, but

or there's like different ones like that. I'm not even thinking of.

There's a lot of Yeah.

Okay. There's a lot there's like a long tale of like all sorts of slightly different slight one molecule change or something.

And it's currently I it's all the rage. Yeah. Uh the

the Chinese peptide thing is a whole meme in San Francisco.

It's a whole thing. Yeah. And so my take on this is is if you if you do it like you know be cautious because

we do not have them characterized like when when you hear about a drug that does blood pressure control

you hear all the benefits and then you hear like in the commercial you hear like this may cause death or kidney damage or like you know like you hear all the side effects because it's been well characterized. So it's been it's gone through clinical trials you understand the pros and the cons and you make that trade-off.

With peptides you don't know.

Yeah. It's like your your bro buddy's like it does this amazing thing and it fain statement after the fact of like hey by the way this could do this terrible thing.

Yeah. So if you're doing it proceed with caution because they're not characterized. We don't know. It's not to say they couldn't have benefits. It's that you don't know. And that's the

the worst thing in health is the blind spots. People want to chase the positives but rarely adhere to like you know there could be some downsides. So keep costly.

Yeah.

Wasn't that the name of Marty Moore's book? Blind spots. the new FDA commissioner. I'm pretty sure that's what he called it. Um, do you do you have confidence in the FDA right now? Do you have confidence in the FDA's ability to actually collect all the data and make good recommendations? Because there's some things where I I totally agree with you. I'd much rather take the one that's gone through FDA trials, been approved. It tells me the downsides, but at the same time, people are like, "But I also got all this sugar in my cereal for years." Like, what were they asleep at the wheel back then? Like, what's going on?

Yeah. I'm I'm guessing that we like the FDA has a very valuable purpose in society. They do like they do good work.

Um I'm guessing

they stopped the literal snake oil famously.

Exactly. Yes, they did. Yeah. Like they've they've had a positive role. I think that we will um exceed them in value in many core areas.

Okay.

Because they you they can take you know well structured wellunded clinical trials but then other things like peptides that are very promising

they're not going to have the clinical work. So what do you do? So if we could get, you know, a certain number of people on the platform who are doing peptides, great. And if they could start adding dimensionality to their their bioction, we could have the most valuable data set. So it's it's immortals is the product. That's the high-end right now, but then also the free version we're building.

And our goal is to create the world's largest data set.

Yeah.

Uh across all these actors and then you basically can create an ecosystem where the person could be paid for their data. So they collect the data, they're starting to experimentation,

companies come in and buy the data, they give out. So, we're trying to create this

financially incentivized ecosystem where like in the world right now,

you can't go anywhere without

somebody or something trying to take advantage of you.

Like, it's it's just everywhere. Like, try to think of a company that genuinely acts in your best interest. Like, unequivocally always shows up to act in your best interest.

Diet Coke.

It's always there when John needs it. Except Except when the flight attendant says, "How about Pepsi?" Yeah, it's true.

So, we're we're going to try to stand in that role like where like we're also jaded because everyone's trying to take advantage of us. So, we're going to try to stand in that role that you can unequivocally trust us. We will always act in your best interest. And if we do that, then like I'm willing to share my data. I'm willing to engage in the platform and do the exploration.

It's a high bar. Uh I want to run through kind of a lightning round of questions. What have you learned from Ray Pete?

Uh that there's a lot of Ray Peters on X.

Yeah. And they really want um

you to follow their

Yeah, they do.

They want you to pee out.

They do. Yeah. So they they're definitely evangelist for So Ray Pete Ray Pete has a lot of evangelists.

Carrots underrated, overrated.

Yeah. Uh carrots are a great food, you know. They they're they're not benign like no food is benign. It has Yeah. pros and cons.

Thanks.

Uh

what else you got, Jordy? Uh, if where would you live if you weren't a public figure

and you could just optimize for health?

Yeah, you know, Kate's here. Hey, Kate.

Hey, Kate.

Yeah, we were just having this conversation. She's from Australia. Uh, we were just having this conversation trying to figure that out. It's it's really an interesting question. Um,

yeah.

Yeah.

LA is certainly not the place if you're purely optimizing for health.

Yeah. Yeah. It that's very true. So like it has been top of mind for us and we are trying to figure out like what if we did something uh next level where would we go and how we do it? I wouldn't have an answer yet.

Yeah. Uh yeah I think it's an important question. There's data on golf courses. I don't know if you've seen this. If you live near a golf course it like reduces your life expectancy because they use such heavy pesticides

on the golf course because golf course.

There's one in my town.

I'm like

that's probably not great. These studies were done on like people that live in like a golf. So like you're living on the golf course and they're they're basically, you know, golfers just want it to look pretty. They're not asking like, "Hey, what did you do to make it look so pretty?"

How are you golfing?

Uh what are your health long-term kind of concerns around the health of us being in this studio 11 to 2

rubber smell?

Yeah, you smell it.

Yes. So that is

I think it's these things. I love that question so much. I would love

and I' and I've thought about it a lot and I I would love to work on this because like we have an LED light right here. So, we're laughing in our head. I don't know about these lights.

Maybe you can consult on our next on our next we're moving soon. So,

I would love to come in here and do a comprehensive analysis.

Oh my god.

No, it would be so good.

No, the air the air quality. I mean, we spend a lot of time in here and we plan to spend a lot

going to come back and say you guys have 10. We're going to make 10 years. You make nine, eight, seven.

I mean, first of all, your CO2 levels for sure are too high. Sure.

I can feel the CO2, right? Do you Kate, do you feel the CO2?

Yeah, CO2 meter for sure.

Yeah. So, the the space is

small. I have those in my Yeah, I have that uh meter in my house. I'll move around to the different rooms to kind of track it. And I've got a whole like I I've done a bunch of work to to the HVAC system.

And see, over over a thousand is going to impair your thinking.

Totally. Yes. That's obvious. You watch it like you're like these guys takes like

I like sunglasses right out. Um, uh, what do you think, uh, how are you thinking about parasites? There's tons of health influencers that will make parasites their whole thing and that like every the solution to every problem is like got to fix a parasite.

Uh, how how are you thinking about them?

We I've not done a deep dive into that. I don't know.

So, these are people who have parasites and they're trying to rid of them or

there the the argument is everyone has them.

Yeah. some amount are probably helpful because they'll like eat heavy metals and then you'll eventually kind of Yeah. uh release them, things like that. But you should do a deep dive on that.

Um do you think uh how do you cycle supplements? Right now I'm taking atheenine, glycine, and a and a number of other things before bed. It's been super effective at getting REM and deep sleep up for me. But uh I'm curious when you find a supplement that is working and it's like measured in my case, how should you cycle it? How do you think about cycling it to make sure that you um continue to get the benefit?

Yeah, this is one of the questions we're asking the inference engine is because we've done a whole bunch of these different cycles

and the it's difficult because uh it's never truly a um a non-confounded experiment, right? always some compound

and so when you're trying to tease out little tiny signal you do need to be robust about the analysis. So we don't know like I you know we have like some short-term data on that but it's not not strong enough that I think I'd express an opinion. So we're hoping hopeful that the bigger data sets will give us insight.

Yeah. Uh same kind of question on fasting. I've started I inverted the fasting schedule because we do the show. We'll have like a big breakfast at 8 am. We'll have I'll have a second meal at around 2:30 and then I won't eat until the next day at 8 am. So, typically somebody might start eating at 12, have another meal around dinner and then wait until the next day. So, I flipped it. Uh any any uh learnings from that? Personally,

the the marker I'd look for that probably is

and and to be clear, part part of the reason is I actually there's a functional reason which is that the way that we do the show, I need to be like

fueled up to then podcast for 3 hours.

Yeah.

Uh but then I also don't like being having a big dinner and going to bed.

Yeah. You guys work out in the morning together, is that right?

Yeah.

6:30.

So, yeah. At 6:30, huge meal.

Uh huge meal at 8.

8.

Yeah. 8 to 9.

Yeah. Anyway, uh thank you so much for coming on the show. This is fantastic.

Lots more to talk about.

Yeah, we could go all night all day.

Let me tell you about MongoDB choose this flexibility and scale with best-in-class embedding models and rerankers. MongoDB has what you need to build what's next. And without further ado, we have Matthew Zaitelland, the correspondent from Heat Map News in the Reream waiting room.

Let's give it up for correspondence.

I'll tell you about Figma while we wait for him. Figma make isn't your average vibe coding tool. It lives in Figma so outputs look good, feel real, and stay connected to how teams build. Create codeback prototypes fast. Tyler Tyler tested the CO2. We're at 790.

We're at 810 right now. 810 and rising.

You caught us on a low. It's going up.

He said, thousand. He said I was It was It was good.

To see what it was at the end of the end of the show.

Okay. Okay. Cuz we will add more CO2 as the show goes on.

Edge in the chat says, "Jordy has three days in one. He's figured out how to