There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.

You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still, like 90% of the features are available for free.

Also https://www.athilio.com/ privacy focused, highly customisable personal data analytics for your Oura, Garmin, Polar and Apple Health (ios port coming soon). Of course there is couple of AI features (with a single switch to turn all off), originally those were built just so I would learn how to embed agents in sw products myself. The whole app was originally built for personal use to fix missing features in the manufacturers own platforms: - Period over period comparisons (this month vs this month last year) - Comparing different metrics - Customizable graphs and other widgets - And of course combining the manufacturers metrics (oura for sleep, garmin for training etc etc) Existing solutions for this kind of software seem to have focus on social (strava), or coaching (training peaks), or they are just straight up crazy expensive with their paid tier (both tp and strava for example).

There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.

You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still like 90% of the features are available for free.

Also https://www.athilio.com/ , which originally was also purely for my own use. Most sports and fitness wearable manufacturers own software and 3rd party software make it incredibly hard to do "how does my this months metric x compare to same month last year", athilio attempts to make those queries easier. Many of the ideas are basically copied from software observability concepts. Also I have used the app to implement and learn agentic workflows.

The market for baby logging apps is already quite niche, but there is some aspects that make Vaava focus on a niche inside that niche.

Core differentiators from established offering in this area for unique user experience: - Uncompromising data privacy; the tech choices and architecture was done from the start to support this. There is 0 user generated data collected to centralised servers - 0 behavioural analytics, even the anonymous technical app crash analytics are completely optional - No user account needed, no giving your email, no subscriptions - AI applied in a smart/limited way; you can use your voice to dictate your routines with your baby, you can use image scanning to automatically 'digitize' your baby growth measurements (tested to work with Finnish child age health card 'lapsuusiän terveyskortti') and visualize the trends digitally. It also has a chatgpt integration where you can prompt chatgpt with your baby routine (sleep, feeding times so on) and ask for tips. I am not necessarily encouraging you to use AI for helping with your baby routine, but if you do, might as well do it with good context

What I gain while providing this unique value: - 0 headaches of maintaining 'cloud infra' - 0 headaches of the usual data handling issues (gpdr so on) - Close to 0 opex -> I can keep the price to customer very competitive, and my own margin high - Clear conscience from knowing there is 0 data hoarding

Now of course when you stick to your values there is some tradeoffs: - Behavioural analytics would be nice to actually know how users use the app for legitimate development reasons - For user experience a centralised cloud server would be a convenience; you could sync your data anywhere, now you can do it only inside your WIFI - Idea of constantly recurring revenue from a subscription gives of course much more flexibility on the cost structure and future development

In short it brings a classic iteration of modern freemium software; 90% features are free, you do a single in app purchase to unlock the rest for a lifetime (the price is close to some of the comparable services 1 month subscription price). There is 0% focus on data hoarding, 100% focus on user experience.

Comments URL: https://news.ycombinator.com/item?id=47930504

Points: 2

# Comments: 1

I've been developing my first desktop application "Athilio" which has been available for some time now.

Coupe of reasons why I built the app: 1. I wanted to do some user interfacing software outside of my "real job" where I basically only work with backend and infra 2. I wanted software where I could combine my data from my Garmin or Polar watch which I use to track my training sessions and my Oura ring which I use to track my daily activity and recovery 3. I wanted to try and build some features by applying LLMs (I know this reasoning is a bit backwards)

For the 2nd point there is already quite well established apps, but to me all of them honestly seem just crazy expensive. I would consider myself somewhat of a "lone wolf" fitness/sports person so I don't really want coaching or social features which many of these "training data aggregator" apps usually push on you. Also basically all of them are web/cloud services.

So my solution has no social features, all features work only around your own data, data is hosted on your own machine (sqlite). You could plan and view your training sessions with a Garmin watch completely offline with the app. User account is basically only needed for automatic downloading of your new data from your wearables service and a couple of AI features. For these reasons the paid tier is very affordable. Many of the concepts and usage flows are inspired by some common software observability solutions and concepts.

So some of the features are behind a paywall, free 14 day trial on sign up, no payment method needed.

The app is available for Windows: https://apps.microsoft.com/detail/9nqqc3qb5z52?hl=en-GB&gl=F... and for macos: https://www.athilio.com/downloads

Would be great to have feedback and feature suggestions!

Comments URL: https://news.ycombinator.com/item?id=44596286

Points: 1

# Comments: 0