From Excel Spreadsheets to Automated Swim Metrics: OrcaVision’s Impact on Sports Analytics

OrcaVision is revolutionizing swimming with AI‑powered video analytics that capture 20‑40 data points per second for every swimmer. In this episode we break down how the system works, why it matters, and what’s next for the sport.

• Real‑time computer‑vision captures detailed metrics (speed, stroke count, turn efficiency) without manual tagging.
• Simple installation: one (25 m) or two (50 m) cameras, calibrated remotely and used for both races and training.
• Scalable data ecosystem: 25,000+ races analyzed, benchmarking tools for athletes, coaches, parents, and broadcasters.
• Business model & pricing: low‑cost subscriptions, revenue‑share with facilities, free installs for larger clubs.
• Company background: bootstrapped start, angel funding, upcoming venture round, and plans for global expansion.

Coaches’ New Best Friend: Zero‑Tagging Computer Vision Gives Precise Stroke and Turn Metrics Instantly

Transcript

Mark Rauterkus

Heavy Or Not, #104 goes to Israel and gets heavy with data with Adi and OrcaVision.

Mark Rauterkus

Also launching in 2026 in the marketplace is Addie’s company, OrcaVision.company. And that will take you to her website. Thanks for being a guest and thanks for subscribing to the podcast, Heavy Or Not.

Adi Segal Dori

I’m in Israel, but OrcaVision is incorporated both in Israel and the US. OrcaVision started a bit over two years ago, but it took a while to develop, about almost two years, the technology. So we just came out at the beginning of really this year. We just started selling some better version and now we are in the mode where we start scaling and we have more customers coming in.

But this is just the moment is right now.

But a lot of very strong players already know us and big federations are reaching out to us. I used to be a professional swimmer too. So I swam in the college system and now I’m the chairwoman of the biggest club in Israel and I had seven guys at the Olympic Games in Paris. But my background is computer science and mathematics.

My grad school, I studied in Columbia University. And my co-founder is a way better mathematician than I am. And so do the other guys who work with us, they’re brilliant guys. We just happen to be swimming geeks, but we’re coming, you know, they left their fancy jobs at Google and Microsoft, and we left everything to do this.

It’s not just the analytics part of it, right? I mean, it’s just the fact that Swimming is sport, it’s really missing engagement. It’s really weak on engagement. And a lot of kids are losing the sports and leaving the sports and parents kind of left out.

I mean, it’s a very expensive sport, cost a lot, but the parents are not very engaged. Don’t really know if your kid is progressing, not progressing. You only know the final time, that what you know in swimming. So there’s no story there.

I feel like taking ownership of the data and having data available to everyone. And, you know, with the videos and knowing benchmarks and what’s a talented kid, what is a talented 12 years old? Nobody knows. You just don’t have this data.

Everyone is collecting their own Excel thing. It’s like the last really popular sports that has no data. Everyone is doing their own Excels. Nothing is... you know, you can’t, you don’t have any data sources with data and nobody’s really collecting it. It’s manual work, takes forever to collect data in swimming. You know, people like, you know, Russell or these guys, I mean, instead of actually helping swimmers get better, 70% of the times they’re doing data extraction from swimming. So we came to change that.

And also being able to extract data at scale in real time, can also serve as broadcasting. If you look at broadcasting and swimming, like we’re supposed to pilot with Eurosport this summer. Eurosport is under WarnerMedia. They reached out to us and they say, I mean, we have nothing to say about swimming in broadcast.

I mean, you just know who got first, who got second. You have no idea what’s, there’s no story there. So being able to break every race and every swimmer to like skills, right? Like who has the best, you know, underwater, who is to the 15, who has, you know, the most efficient stroke, who lost speed towards the turn, who did better turns.

I mean, who had the, you know, the fastest, like maybe surface speeds, like who lost more speeds on the break. I mean, there’s so many parameters you can calculate once you turn into, you know, computer vision and, We’re collecting between 20 to 40 data points every second of the video for every swimmer. This is how much data we’re sitting on.

Mark Rauterkus

So repeat that because that was hard to get my head around.

Adi Segal Dori

20 to 40 data points every second of the video for every swimmer.

Mark Rauterkus

In eight lanes or 10 lanes.

Adi Segal Dori

Eight or 10, whatever you have, yeah.

Mark Rauterkus

With how many sources, like cameras?

Adi Segal Dori

if it’s 25 meter or yards, just one. And if it’s 50 meters, we use two. Really, I mean, the idea, I mean, also was to make it not too complicated, right? I don’t want to install nine cameras around the pool.

Nobody’s going to install it. But if you put one camera, that’s easy, right? We come, I mean, actually, our integrator comes, install it, takes an hour, maybe. We calibrate it remotely, that’s it, you’re ready to go.

So the ease of use here was extremely important. And another thing is that on the same system that installed for the racing, we actually do training. So we have OrcaVision train as well, which is another product, but using the same infrastructure, right? Think about having a GPS and accelerometer on the entire pool.

This is what we have. This allows us to do some very, very sophisticated clinic-based ORCA train stuff. We can determine exactly your inner cycle speeds. I can know how much percentage of your speed you lost on the breakout.

And we’ve seen so much data already. I can go, I mean, I’ve seen even the, the SEC, we analyze the entire SEC because we’re installed at the University of Tennessee. I’ve seen top swimmers, top, I mean, world records, like, you know, swimmers losing 30% of the breakout. This is not good because, you know, others are working on it, losing 12 to 13% of the breakout.

And you see these top scorers, they just don’t know. And even the best coach in the world does not know how to tell two-tenths of a second in his eyes. He just doesn’t. So he can tell you, like, OK, try to correct this and do this.

OK, it might work. It might doesn’t. But he only knows the final time. But could be actually the part that he worked on wasn’t faster.

So being able to have the entire picture here, it’s like it’s a real, real game changer. And also being able to use it in training and in competition, like when you have the same system, comparing apples to apples, it’s pretty amazing. And just to throw some numbers, just from the beginning of the year, from the installation we have so far, we’ve analyzed over 25,000 races. I don’t think in the world in the last 20 years you have 25,000 races analyzed.

And this is just the very beginning. So we’re talking about masses of data and really can transform the sport from so many levels. And I didn’t even talk about coaches’ education yet, which is a super important piece here. This is one of the most important section, in my opinion, because data is great.

And parents are smart, too. Sometimes they’re smarter than coaches. But eventually, you want coaches to get better and understand. Some of them, even very strong coaches, can get intimidated by all this data.

Mark Rauterkus

It’s like, OK, what do I do with this now?

Adi Segal Dori

So I think education is extremely important, and I think this tool can actually help educate a lot of coaches as well. Once we get all the infrastructure right, we’re already connected with very strong educators in the sport. And a lot of top coaches like knows about us. I mean, as I said, Matt Kredich, but, you know, David Morris, she’s on, and Dev Styler knows about us, and Sonia Porter, she was the technical director for Singapore, and she’s a great educator.

The list goes on and on. So we have like really top coaches on top of it in Europe as well, not just in the U.S. But I feel this can really sort of put everything together, you know, parents, coaches, swimmers, broadcasters, like educator, like all sort of on the same infrastructure and learning so much from it and improve the sports eventually, right? This is what we came to do.

We love the sport.

Mark Rauterkus

Where do you have some installs? Where have you gotten those 25,000 races from?

Adi Segal Dori

I have a few competitions in Tennessee, actually. This was the first pool we installed in the U.S. We have a couple more orders in the US. I’m not sure I’m going to say the names yet because we’re in the middle of signing a contract, but I have eight more D1 top NCAA top 20 schools. I’m going to add more.

As I said, we just started. I have a few clubs in Europe. I have in Southeast Asia, I have in Singapore two systems, four big NGBs, federations that order a few systems. I’m not sure if I can say the names yet.

Mark Rauterkus

Once they install, they can’t move, right? Or they just sort of stay at that?

Adi Segal Dori

So once the cameras are installed, so again, we have a few things. So yeah, it should be mounted. I mean, you can, we came to the team where our pro USA Swimming invited us, so we mounted it temporary. But the idea is to be permanent and then you calibrate it once and you don’t have to touch it.

You can use it for training and for racing. This is the goal of it. But I’ll tell you another thing we’re developing right now. We’re going to have capabilities of doing things in panning.

So you’re going to be able to use your iPhone and pan over a swimmer. It’s not going to be 10 lanes at a time, but we’re adding this feature where you’ll be able to extract data automatically just from panning over a swimmer, which is great maybe for kids and for places where you know where Orca won’t be installed. So this is going to replace that. But yeah, the idea is to be able to compare yourself against yourself and your competitors over time.

You want to know how much you improve, not just compared to yourself, compared to others as well. And having so much data allow us to do benchmarking. So I can tell you, OK, maybe you’re a 15-year-old in this region. But just so you know, I mean, the top 15 years old in the world are actually here.

And you’re here. So, you know, once you have so much data, you can start doing this kind of thing. So, all the tools out there, they exist. I mean, you take the video and then you have to manually, like, tag, like, stroke, stroke, stroke.

We have zero tagging. We don’t do that. We use pure computer vision, mathematics, and physics to automatically extract those matrices. So, you don’t have to do the tagging.

So this is the major difference here. It’s just the automation part of it and also the accuracy. I mean, we’ve tested against so many benchmark and manual benchmarks and there’s no actually, we haven’t seen any human that does it better. So we’re very, very, very confident at this point that we’re extremely, extremely accurate.

Mark Rauterkus

The IM and everything, right?

Adi Segal Dori

Everything.

Mark Rauterkus

The data goes from the camera to a local PC.

Adi Segal Dori

It doesn’t go to local PC. No. The camera, first of all, on device itself, we can do some of the processing we do on device and some we stream to the cloud. So as soon as the race starts, we start analyzing while the race is going.

So the race start, we stream to the cameras, we stream, I mean, from the camera, it streams to the cloud, okay? We do the analysis, then it updates our dashboard, we have live dashboard, so think about it, you have a race, and the swimmer is not even, you know, maybe didn’t even walk over to you, and you have all the results in an iPad.

So it takes, you know, a few minutes, everything is out. And, you know, if you think about short races is one thing, but think about like a 1650 or 1500, who is analyzing those? So once you have this automated, or the 400s, even 200, it takes so much time to analyze those manually. It’s a terrible job, terrible job.

There’s a lot of mistakes there. Just from the idea that every lens is distorted, all the manual tools don’t take into consideration distortion. So just to begin with that, you have a lot of places where you can actually have mistakes in the measurements that you extract. just from the fact that you don’t take into account distortion.

And none of them actually do. Some of them, they can count buoys, they do all kinds of things. I mean, things are pretty cool tools, but I mean, in terms of like, you know, accuracy and speed and scalability, right? There’s nothing really to compare there.

Mark Rauterkus

Well, then how does Orca Vision know that the guy in heat three, lane three is Sally or whatever.

Adi Segal Dori

Okay. So in competition, it’s easy. We sit on the same network as the, um, the timing system. So whatever you, wherever you have actually a board where you can, you know, see the result of who gets, we get the same feed.

So, uh, that easy. We just know who is who. And what we’ve developed as well, where you can actually run ORCA race in training. Let’s say you do race-based training, okay?

So in your team, it’s either right now, I mean, as I said, the ORCA training is still in development, but right now, you know who you are, which team, which swimmers you have, so you can actually choose them and place them inside the app. But we’re actually planning something automatic, very, very cool. But I can’t say yet. Because it’s, it’s our proprietary thing.

And I don’t want to be out yet. But we’re planning something extremely cool. But it actually will know who is who, just from the cameras. So it’s coming up very soon.

I can’t tell you everything yet.

Mark Rauterkus

Okay. They were gonna wear a barcode on their cheek. (This is a joke!)

Adi Segal Dori

Well, maybe. But yeah, I think the technology is pretty amazing. And think about another use case we’ve thought for it could be VAR (Video Assisted Referee) in swimming. There’s no really VAR in swimming.

So you have referees standing in a 15-meter line and saying, maybe who crossed the line? But we know exactly where the line is. They don’t really. So this could be another use case for VAR, for example.

for we can also be a timing system places where they don’t have touchpads. Because we recognize a swimmer every little centimeter, so we can figure out where he touched the wall. So that’s another use case, eventually, that we’re working on. And maybe replacing all the volunteers that come and have to take time in all the small leagues that you have.

Soon we’re going to replace those as well. And instead of writing things on paper and then have to go to another system to type them in, you can just do it automatic. You don’t need this part.

Mark Rauterkus

It comes down to price. Is it just something that costs $100,000 or is it something...

Adi Segal Dori

No, we thought about this too.

So as I said, I’m a chairwoman of a really big club in Israel. I know clubs don’t have money, but parents on the other side invest so much money to raise a swimmer from a very young age. They can pay a few more dollars to know how they’re signing progressing, be more engaged, have the grandmother see the kid, see all the races everywhere. So this is the idea to make it really affordable to have data for everyone.

And everyone pays very little, so clubs don’t have to pay a lot. So in some cases, when you have bigger clubs, we give the system for free. But again, they have to subscribe parents for that. And saying, not just in competition, even having this fancy system in training, right?

Obviously, it costs money. You want to use a system to get better, you pay a few bucks. Colleges are a bit different. Colleges, as kids, they usually have more money.

So colleges do pay a higher annual subscription fee. But another thing we do, we rev share with every pool becomes our partner. So in that sense, every competition that they host, we split the rev share from, let’s say you wanna get your analytics, you’re not subscriber, you’re one timer, you scan a QR code, or you get a link, or you wanna get your full stats, scan the links, they pay a few bucks, but if you have, this competition usually gets pretty big, couple hundred kids.

And then we do, we split it with the facility, and this is how it’s actually payback the system. We thought about it, we don’t want it to be very expensive and not affordable. So this was very important to us.

Mark Rauterkus

Yeah, that’s fabulous. So are you signing up customers now?

Adi Segal Dori

Yeah, I mean, first of all, we are. So this is just some fun examples that we have from this is from the TYR. We don’t use the box. So this is, you know, more for visuals, but we don’t need them, right?

I mean, this is just to show you that we capture all swimmers in all lanes. With the data that is left is pure swimmers. And I can also show you the raw data because it’s pretty amazing how much data is being collected. But this was the 100 backstroke final in the TYR Pro.

So again, you can see also we’re switching between the two cameras, right? This is the left camera and then it’s going to move to the right camera. Yeah. You can also see the contour around the swimmers.

We’re recognizing them very, very clearly. So here you have the bounding boxes and the contour around the swimmers, but we have both. Again, this is for visuals to show, but I mean, we don’t need them, but it’s kind of nice to see how it looks like behind the scenes. And cooler part is let’s go and see the data itself.

So say this is again, we have all events, right? Men, women, finals, heats. We can also get everyone if you wanna rank them. So you can see live again, while the competition is going, these are being populated extremely fast.

So we have the results. This is, I’ll just show you the event we just saw. So this is the first page. You can also filter by teams here.

This is the first, the 30 mile overview page, where we get some of the data, some splits. We display the zero to 15, 15 to 25, 25 to 50. Again, I can display every five meter or even less, but this is more, it’s too much information sometimes. Graphs are not in the UI yet, still a work in progress, but we’re gonna add them.

Let’s go for a second for Reagan. So this is her personal page. Okay. I can see all the competitions she participated.

We only have her in the TYR, but other swimmers we have in other events. And everything that she swam in that competition, morning prelims and finals. This was the final 100 back. We have some general stats, first half, second half, some average speed, some total cycle count, frequency, tempo.

And then you can also watch the race, the one you just watched.

Mark Rauterkus

Yes.

Adi Segal Dori

So every race is being cut exactly for that race. So you can actually see it. In the future, we’re adding a better zoom in. So you can actually going to zoom in on the swimmers.

The little bars here are the breakouts. OK. We actually let coaches even change those because the breakout is not as clear as a 50-meter mark. Breakouts, some coaches like to take it a bit before, a bit after.

So we actually let them go a bit backwards, a bit forward, and they can change the breakout. But the accuracy is extremely, if I click on it, let’s say I want to remove this breakout. The breakout time was 6.52 seconds and 14.6 meters. Look how accurate this thing is.

I can actually look, so these are our splits. Here you have more, you have like every 10 meters in the last five. I can check out the speed velocity, so you can check a meter per second in terms of velocity for each part. I have the stroke count, cycles, DPC, tempo, frequency, turn analysis, five meter to the wall, 15 from the wall, overall turn, breakout distance, breakout splits.

I have an option to export to Excel, some coaches like Excel. So we let them actually do that, comes out like that, in case I want to do it. This is a feature we only give to coaches. Another cool thing we have is actually comparison.

Let’s say we want to compare Reagan to Riley, for example. This is a really interesting comparison, actually. Reagan is a better swimmer, but you still see, look at Riley’s breakout, right? She broke out at 7.21 meters at her second lap, and Reagan at 13.7.

This is a huge difference. She’s a very quick swimmer, Riley, but I mean, when you break out at seven meters at 100 back, this is not gonna fly anywhere. Take Charlotte, for example, you can see with the red line, Charlotte is actually has a really good, you know, underwater. She’s here was even faster than Reagan.

So, I mean, she’s going to the University of Tennessee, I think, next thing she signed it with my credit. She’s extremely fast on the water. So if you watch her, I think she’s going to be pretty great. But yeah, I mean, you know, this is a comparison feature.

Again, I said you can compare to yourself from competition to competition and see how you progress and what you do better, what you do worse. Another thing we do here, which is really cool, we let you submit a challenge. So this is a computer vision system, and sometimes if you see weird data, could be, not weird, let’s say a stroke count, could be sometimes we miss half a stroke or a stroke, right? It happens even if you do it manually.

So if you think that we missed a stroke, we let you submit a challenge, and then the system actually learns from it. So in this way, it also gets better in that sense.

Mark Rauterkus

Once you got the data, you’re very, very powerful.

Adi Segal Dori

Yeah, I can play with it any way I want. And again, this is just the way we display it. But if I show you the data on the back end, you’ll see how much data we actually collect. I mean, I can show it to you if you wanted to.

So the system is extremely powerful and scalable.

This is another example, because I want to show you, like, you know, she has, Jillian had a lot of competition we analyzed this year. So you can see there’s more data here.

Mark Rauterkus

You’re funded with venture capital?

Adi Segal Dori

No, we were bootstrapped for 12 months at the beginning. And then we raised from angels. And now we’re actually going to another round. But the idea was to really to put a product on a market that costs very minimum to develop.

We knew exactly what we were doing. We were all professionals. We had a lot of experience, some of us in really big companies. And we wanted to do it right.

So we only raised money when we really had to. And now when it’s ready to scale everywhere, we are raising another round right now.

Mark Rauterkus

Well, congratulations. How do people get involved with that? So how do people with money, where do they go?

Adi Segal Dori

If they want Orca system installed or if they want to invest, which one?

Mark Rauterkus

Well, either. Yeah, both.

Adi Segal Dori

So we have actually right now a very cool group of people who are joining this round. So, you know, if someone wants to invest in Orca, you can email me.

Mark Rauterkus

Okay.

Adi Segal Dori

It’s yeah, idea at orcavision.com company. So

Mark Rauterkus

And then to ISCA, the International Swim Coaches Association, has some big meets. And how would we get this installed in St. Petersburg or else in Hampton, Virginia?

Adi Segal Dori

So if it’s busy pools that have a lot of competitions during the year, it depends on who runs it. If it’s a college or club or just a place that you rent for the competition, Will they be interested in installing it permanently? That’s what I’m trying to ask.

Mark Rauterkus

I believe so, or at least we would want them to.

Adi Segal Dori

It’s a security camera. This is not big. In any pool, even in Tennessee, they have 21 cameras in the pool. So it’s not like anything strange to have a camera in the pool.

They have security cameras everywhere. So our camera is pretty small. It’s a security camera. It just turned into a swimming machine.

It’s a security camera from Axis, which is our partner. They’re one of the biggest camera companies in the world. and they have great equipment. It just, they don’t break.

So this is a part of the reason why we chose them. And also their camera behaves like computers, which is very good for us. You know, we can talk about it, just install those. Okay, and then you need some type of dedicated line to the- Yeah, we prefer to have a, just an internet, only thing we need is an internet connection.

So we get a usually dedicated line, because when you have a lot of people coming to competitions, they can take from the bandwidth. We only need upload speed. But we didn’t have any problem with any facility in that term.

Mark Rauterkus

So it’s pretty straightforward.

Adi Segal Dori

And we have integrators that come and install. We approve it remotely. Say we check everything. We see everything we need to see properly.

And that’s it. It’s a one-time thing. You don’t touch it. You just enjoy the results.

It’s really cool. I mean, the experience once you actually have it, like when you stand on deck and you had an event just finished and you get the results a few, you know, a minute after, that’s pretty cool.

Mark Rauterkus

Yes, yes.

Adi Segal Dori

You get kind of addicted to the data, I have to say. Like timing data and results are public anyway, right? You can see them everywhere. There’s also consenting.

Once you sign up for ORCA, you have to consent. You have a consent form where you agree for the data to be shared. I mean, there’s some wording there that you need to approve. And also what we require from facilities is that to have sort of like a small sign or on their website, which mostly they do, saying like, oh, this pool is being filmed for analysis.

Same as you do for Facebook or when you film anything. So this is the only thing we’re required to do. And if someone, you know, wants us to delete the data, you just send an email where you delete it. It never happened to us, but if someone wants it, it’s possible.

The swimming community will benefit from it the most when everyone share data and have data. This is in my opinion. If you want to learn and get better, and even if your competitor is doing better, OK, look at their stats. See where they’re doing better and try to get them.

Or maybe you have some parts where you’re better. Try to push more there so you get a better advantage. So you can take it to all kind of places. In my opinion, sharing is just making swimming better.

Mark Rauterkus

When you come to the United States, we want to be able to be there, promote it.

Adi Segal Dori

You will. So I would love to. We were at the, just at Met Credits. We went there twice because he was a design partner.

It’s the first installation there. But we’re going to come in the next few months. We’re going to go and do some Orca train clinics. You want to see that because this is very cool.

I can demonstrate. I mean, I have the work on a train system. You’ll see this is super, super powerful. This is when you get the deep dive stuff, amazing data, really amazing data.

I can tell you that we’ve worked here in our home pool with few swimmers. One of them we’re hoping right now is going to take European juniors but just a small example of it. He is a 100 breaststroker junior guy and when we first analyzed him we saw his time to this 15 was 7.3. Now, 7.3, when you compare to the best, and we already have a lot of good swimmers in the platform, so we have benchmarking, they’re going like six low.

I was like, okay, let’s work on it. And then, you know, once you do, you work with Orca Train, you see exactly where he loses speed. And if you see a speed drop, you tell him, OK. And then a coach is next to you.

I mean, this is also physics, right? I mean, because a body underwater, when it goes above water, something happens there, right? So you need to understand those physics rules. And once you do, and you show a swimmer, he sees it in his eyes, right?

Like, you know, he’s doing the small test. The video is out in a few seconds. He sees the time. He sees what happened.

He goes and fixes it. So only in three weeks of work, the guy dropped from 7.3 to 6.5. Only in the 0 to 15. So he dropped.

So right now, it’s 8 tenths of a second. But two weeks ago, it was like 4 tenths of a second. He dropped his personal best in like 7 tenths of a second, 100 breaths. And he’s a good swimmer, right?

He was like a 101.7. He went to 101 flat. So he’s already a good junior. But we think he actually can go maybe even under a minute.

We’ll see. I mean, we worked with him on a few things. We saw he was losing speed on his turn somewhere and on the breakout. And we worked on those.

And we’ll see now in two weeks what happened to European juniors.

Mark Rauterkus

And you mentioned the stories. Can AI help you generate some of the content for the broadcast?

Adi Segal Dori

The content, not yet, but it will. We will use obviously AI for the content in terms of you know, you’ll be able to ask questions, like, you know, and get some answers from the data. Definitely, yeah. We can already do it.

It’s actually the easier part. But, yeah, we’re not there yet, but it’s in the pipeline, so we’re going to get to it.

Mark Rauterkus

Definitely. Well, congratulations. Matt Kredich is a good friend of ISCA. He is just recently put into the ISCA Coaches Hall of Fame.

Adi Segal Dori

He deserves it. What a guy. Wow.

Mark Rauterkus

Yes.

Adi Segal Dori

And David Marsh is a great friend of us. He’s been advising us for a long time. And yeah, we’re in good company. I mean, great, great people.

Adi Segal Dori

What can I say? We’re lucky to be there.

Mark Rauterkus

Now, as long as you don’t sell to the Australians, we’ll be happy.

Adi Segal Dori

I can tell you what, first of all, we’re talking to the Australians. They’ve been trying to develop something like this for almost six years. So they understand the need of it. This is not something easy to develop.

You need certain people who can actually develop this. This is not something you do in vibe coding, or even very good engineers not necessarily can solve these problems. We put up some really special guys to do that. But yeah, I mean, I wish good luck to everyone, but it’s not easy.

Mark Rauterkus

OK, well, thanks for sharing your time and your wisdom. And we’ll be in touch. Just for clarity, there’s a lot of talk about ORCA. So the International Swim Coaches Association has the ORCA Awards, which just launched in 2026.

Mark Rauterkus

Also launching in 2026 in the marketplace is Addie’s company, orcavision.company, And that will take you to her website. Thanks for being a guest and thanks for subscribing to the podcast, Heavy Or Not.