Last month we shared that the Korvi app had gone live. May was about momentum. Real people finding the app on their own, a website rebuilt from the ground up, and a genuine breakthrough on the engineering challenge that’s been keeping us up at night: getting reliable wireless data off your body in a busy gym.
Here’s where we’re at.
Our First Organic Users
We’ll start with the milestone that meant the most to us. This month, complete strangers started downloading the Korvi app. These are people we’ve never met, who found it on their own, with zero advertising spend behind us. They’ve already started logging workouts regularly.
It might sound small, but it’s proof that our message is landing: a free AI-powered workout tracker that’s genuinely useful on its own, with no sensors required, and no paywall after your first session. We’re not spending a penny on ads yet. This is coming purely from showing up honestly in fitness communities and letting the product speak for itself.
If you want to be part of the early group shaping where this goes, the app is free on iOS and Android.
A Faster, Smarter App
Behind the scenes, the app got a lot of love in May. We rebuilt several features for speed and now the app runs quickly and smoothly, including a full offline mode (an essential when gym wifi and signal let you down mid-set).
There’s now an Explore section where you can see what other lifters are training, and a suggested-people-to-follow system so your feed isn’t blank on day one. A social workout tracker only works if there’s something social to look at!
On the privacy side, we did the unglamorous-but-necessary work of securing our data handling procedure. When the app builds you a personalised training plan using AI, that involves sending some of your information to a large language model. If you know anything about us, you know that we value transparency very highly. We ask for your explicit consent first, and if you’d rather not use our planning feature, you can plan your workouts manually instead. Your data, your call.
The Wireless Breakthrough
This is the big one.
If you’ve followed along, you’ll know Korvi is building a set of small wearable IMU sensors that track your movement during strength training. We are capturing motion data to measure things like bar path, rep tempo, joint angles, and left-versus-right symmetry. The hard part has never been the sensing. It’s getting that high-frequency data from five sensors on your body to your phone, reliably, in a gym full of interference and other people’s devices.
In April we’d confirmed that standard Bluetooth simply collapses under these conditions. May was about building something better. And we did. Our custom wireless protocol, which we’ve been calling Korvi wireless, now uses a combination of techniques working together.
The early results are genuinely exciting. In controlled testing we’re now seeing total packet loss down to 5%, with Korvi wireless recovering a meaningful chunk of what would otherwise be lost. For the first time, we’re looking at hard numbers, and the numbers are heading in the right direction.
This is hard engineering. Companies that solve high-frequency wireless motion capture tend to do it with bulky receivers and external battery packs. We’re trying to do it with sensors small enough to disappear into a compression sleeve. We’re not all the way there yet but May was the month it went from “maybe impossible” to “we can see the path”.
Building the Data Foundation for Our AI
None of the motion analysis matters without good data infrastructure underneath it. This month we set up a proper time-series database to store and query sensor recordings at scale. This database is designed for combining motion data with session context.
The next step is feeding real recordings from the gym, complete with the natural imperfections of real-world wireless, and seeing how our models hold up against messy data rather than clean lab samples. That’s the difference between a research demo and a product.
A Brand New Mobile Website
Most people will first meet Korvi on their phone, so we rebuilt korvi.fit mobile-first. The old site looked great on a desktop and clunky on a phone. Now it’s fast, clean, and built for the screen you’re actually holding. Every section fits naturally, the roadmap is easy to scan, and the whole thing reflects where the product genuinely is today.
We also leaned harder into content. We published a deep-dive blog post on bar path tracking because we believe that anyone who is curious about how barbell movement is measured and improved should be able to find a clear, honest explanation. Expect more of these: practical pieces on the things lifters actually want to understand.
Growing the Community
Reddit remains where our people are, and our presence there keeps growing organically. We’re contributing genuinely useful advice rather than spamming links, and it’s working. We’ve also launched our own subreddit, r/Korvi, as a home for anyone who wants to follow the build, share feedback, or just talk strength training and wearable tech. And our Discord is open for the people who want to get closer to the development process.
What’s Next
June is about three things:
- The gym test. Our new wireless system has proven itself on the workbench. Now it needs to survive a real, busy gym.
- First real AI training data. Once the sensors are capturing clean sessions, we start building the datasets that power Korvi’s motion analysis. This is where the AI work accelerates.
- Growing the beta. The app is live, free, and getting better every week. The more people using it and sharing feedback, the faster it improves. So, if you train and want to be part of something early, download Korvi and tell us what you think.
We’re still just four people building something we believe should exist. Thanks for following along! And a warm welcome to everyone who found us this month.
Joe, Jake, Vish & Anisah
Korvi is a free workout tracking app with AI-powered training plans, social features, and a wearable strength training sensor system in development. Available now on the App Store and Google Play.